METHODS AND COMPOSITIONS FOR TREATING NON-ERK MAPK PATHWAY INHIBITOR-RESISTANT CANCERS

Abstract
The present invention provides, inter alia, methods, pharmaceutical compositions, and kits for treating or ameliorating the effects of a cancer in a subject, which cancer is refractory or resistant to non-ERK MAPK pathway inhibitor therapy. Also provided are methods for identifying a subject having cancer who would benefit from therapy with an ERK inhibitor and methods for inhibiting phosphorylation of RSK in a cancer cell that is refractory or resistant to a non-ERK MAPK pathway inhibitor.
Description
FIELD OF INVENTION

The present invention provides, inter alia, methods, pharmaceutical compositions, and kits for treating or ameliorating the effects of a cancer in a subject, which cancer is refractory or resistant to non-ERK MAPK pathway inhibitor therapy.


INCORPORATION BY REFERENCE OF SEQUENCE LISTING

This application contains references to amino acids and/or nucleic acid sequences that have been filed concurrently herewith as sequence listing text file “0375608.txt”, file size of 356 KB, created on Dec. 18, 2014. The aforementioned sequence listing is hereby incorporated by reference in its entirety pursuant to 37 C.F.R. § 1.52 (e)(5).


BACKGROUND OF THE INVENTION

Drug inhibitors that target components of the mitogen-activated protein kinases (MAPK) signaling pathway show clinical efficacy in a variety of cancers, particularly those bearing mutations in the BRAF protein kinase. Both RAF and MEK inhibitors are approved for single-agent use in advanced metastatic BRAF mutant melanoma. Either alone or in combination, BRAF and MEK inhibitor activity is unpredictable in other cancers, with promising efficacy in BRAF mutant thyroid and lung cancer, but only marginal activity in BRAF mutant colorectal cancer.


As with other targeted therapies, patterns of disease response to RAF and MEK inhibitors appear to be influenced by the intrinsic genetic heterogeneity present in the cancers where the drugs are used. For instance, it has been shown that certain genetic alterations, including PTEN and other changes that activate the PI3K cell growth signaling pathway, may predict a poor initial response, and/or relatively rapid progression, in BRAF mutant melanoma treated with the RAF inhibitor vemurafenib. Likewise, direct mutations in MEK gene loci appear to emerge in tumors that have progressed following either BRAF, MEK, or combined drug treatment. Several additional examples, from RAS and RAF gene amplification and splicing mutations, suggest that acquired drug resistance is produced when oncogenic pleiotropy encounters the selective pressure of targeted drug treatment.


In view of the foregoing, there is a need for novel targeted agents that would ideally inhibit diverse nodes of oncogenic pathways, and also be effective in combinations by inducing a burden of selective pressures that exceeds the adaptive capacity of diverse cancer genomes. The present application is directed to meeting these and other needs.


SUMMARY OF THE INVENTION

One embodiment of the present invention is a method for treating or ameliorating the effects of a cancer in a subject, which cancer is refractory or resistant to non-ERK MAPK pathway inhibitor therapy. The method comprises administering to the subject an effective amount of BVD-523 or a pharmaceutically acceptable salt thereof.


Another embodiment of the present invention is a method for treating or ameliorating the effects of a cancer in a subject. The method comprises:

    • (a) identifying a subject with cancer that has become refractory or resistant to BRAF inhibitor therapy, MEK inhibitor therapy, or BRAF and MEK inhibitor therapy; and
    • (b) administering to the subject with said refractory or resistant cancer an effective amount of an ERK inhibitor, which is BVD-523 or a pharmaceutically acceptable salt thereof.


A further embodiment of the present invention is a method for treating or ameliorating the effects of cancer in a subject, which cancer is refractory or resistant to BRAF inhibitor therapy, MEK inhibitor therapy, or both. The method comprises administering to the subject an effective amount of BVD-523 or a pharmaceutically acceptable salt thereof.


Another embodiment of the present invention is a method for identifying a subject having cancer who would benefit from therapy with an ERK inhibitor. The method comprises:


(a) obtaining a biological sample from the subject; and


(b) screening the sample to determine whether the subject has one or more of the following markers:

    • (i) a switch between RAF isoforms,
    • (ii) upregulation of receptor tyrosine kinase (RTK) or NRAS signaling,
    • (iii) reactivation of mitogen activated protein kinase (MAPK) signaling,
    • (iv) the presence of a MEK activating mutation,
    • (v) amplification of mutant BRAF,
    • (vi) STAT3 upregulation,
    • (vii) mutations in the allosteric pocket of MEK that directly block binding of inhibitors to MEK or lead to constitutive MEK activity,


      wherein the presence of one or more of the markers confirms that the subject's cancer is refractory or resistant to BRAF and/or MEK inhibitor therapy and that the subject would benefit from therapy with an ERK inhibitor, which is BVD-523 or a pharmaceutically acceptable salt thereof.


A further embodiment of the present invention is a pharmaceutical composition for treating or ameliorating the effects of a cancer in a subject, which cancer is refractory or resistant to non-ERK MAPK pathway therapy. The composition comprises a pharmaceutically acceptable carrier or diluent and an effective amount of BVD-523 or a pharmaceutically acceptable salt thereof.


Another embodiment of the present invention is a kit for treating or ameliorating the effects of a cancer in a subject, which cancer is refractory or resistant to non-ERK MAPK pathway therapy. The kit comprises any of the pharmaceutical compositions according to the present invention packaged together with instructions for its use.


Another embodiment of the present invention is a method for inhibiting phosphorylation of RSK in a cancer cell that is refractory or resistant to a non-ERK MAPK pathway inhibitor. The method comprises contacting the cancer cell with an effective amount of BVD-523 or a pharmaceutically acceptable salt thereof for a period of time sufficient for phosphorylation of RSK in the cancer cell to be inhibited.


Another embodiment of the present invention is a method of treating a subject having an unresectable or metastatic BRAF600 mutation-positive melanoma comprising administering to the subject 600 mg BID of BVD-523 or a pharmaceutically acceptable salt thereof.


Another embodiment of the present invention is a composition for treating a subject having an unresectable or metastatic BRAF600 mutation-positive melanoma, the composition comprising 600 mg of BVD-523 or a pharmaceutically acceptable salt thereof and optionally a pharmaceutically acceptable carrier, adjuvant, or vehicle.





BRIEF DESCRIPTION OF THE DRAWINGS

The patent or application file contains at least one drawing executed in color. Copies of this patent or patent application publication with color drawing(s) will be provided by the Office upon request and payment of the necessary fee.



FIG. 1A-FIG. 1C show the progress of a dose escalation study in a human malignant melanoma cell line (A375 cells) for month 1. Various treatments (trametinib (a type 2 MEK inhibitor), dabrafenib (a BRAF inhibitor), and BVD-523 (an ERK1/2 inhibior)) are as labeled.



FIG. 2A-FIG. 2H show the results of a proliferation assay that tracks changes in sensitivity to the escalated agent(s) at month 1. Various treatments (trametinib, dabrafenib, BVD-523, and pacitaxel) are as labeled on the top of the graph. The caption to the right of the graph shows the various types of cells generated from the dose escalation study. For example, “dabrafenib” refers to the cells that have been treated with the highest dose of dabrafenib from month 1 of the dose escalation study. Parental refers to the control cells that have not been treated with drugs. FIG. 2A, FIG. 2C and FIG. 2G are normalized to control, whereas FIG. 2D, FIG. 2F and FIG. 2H show the raw data.



FIG. 3A-FIG. 3D show the progress of a dose escalation study in A375 cells for month 2. Various treatments (trametinib, dabrafenib, and BVD-523) are as labeled.



FIG. 4A-FIG. 4H show the results of a proliferation assay that tracks changes in sensitivity to the escalated agent(s) at month 2. Various treatments (trametinib, dabrafenib, BVD-523, and pacitaxel) are as labeled on the top of the graph. The caption to the right of the graph shows the various types of cells generated from the dose escalation study. For example, “dabrafenib” refers to the cells that have been treated with the highest dose of dabrafenib from month 2 of the dose escalation study. Parental refers to the control cells that have not been treated with drugs. FIG. 4A, FIG. 4C and FIG. 4G are normalized to control, whereas FIG. 4D, FIG. 4F and FIG. 4H show the raw data.



FIG. 5A-FIG. 5H show only the parental and BVD-523 cell line data from FIG. 4A-FIG. 4H. Various treatments (trametinib, dabrafenib, BVD-523, and pacitaxel) are as labeled. FIG. 5A, FIG. 5C and FIG. 5G are normalized to control, whereas FIG. 5D, FIG. 5F and FIG. 5H show the raw data.



FIG. 6A-FIG. 6D show the progress of the dose escalation study in a human malignant cell line (A375 cells) for month 3. Various treatments (trametinib, dabrafenib, and BVD-523) are as labeled.



FIG. 7 is a histogram showing the results of a proliferation assay as applied to cells grown in the DMSO control wells from the dose escalation assay.



FIG. 8A-FIG. 8D are a set of line graphs showing proliferation assays for month 3 of the study. Various treatments (trametinib, dabrafenib, BVD-523, and pacitaxel) are as labeled on the top of the graph. The caption to the right of the graph shows the various types of cells generated from the dose escalation study. For example, “dabrafenib” refers to the cells that have been treated with the highest dose of dabrafenib from month 3 of the dose escalation study. Parental refers to the control cells that have not been treated with drugs.



FIG. 9A-FIG. 9D show only the parental, dabrafenib, and BVD-523 cell line data from FIG. 8A-FIG. 8D.



FIG. 10A is a dose matrix showing % inhibition of the trametinib/dabrafenib combination in A375 cells using the Alamar Blue cell viability assay. FIG. 10B is a dose matrix showing excess over Bliss for the trametinib/dabrafenib combination. FIG. 10C and FIG. 10D show % viability relative to DMSO only treated controls for dabrafenib and trametinib single agent treatments in A375 cells using the Alamar Blue cell viability assay. FIG. 10E shows % viability relative to DMSO only treated controls for dabrafenib and trametinib combination treatments in A375 cells using the Alamar Blue cell viability assay.



FIG. 11A is a dose matrix showing % inhibition of the trametinib/dabrafenib combination in A375 cells using the CellTiter-Glo cell viability assay. FIG. 11B is a dose matrix showing excess over Bliss for the trametinib/dabrafenib combination. FIG. 11C and FIG. 11D show % viability relative to DMSO only treated controls for dabrafenib and trametinib single agent treatments in A375 cells using the CellTiter-Glo cell viability assay. FIG. 11E shows % viability relative to DMSO only treated controls for dabrafenib and trametinib combination treatments in A375 cells using the CellTiter-Glo cell viability assay.



FIG. 12A is a dose matrix showing % inhibition of the BVD-523/dabrafenib combination in A375 cells using the Alamar Blue cell viability assay. FIG. 12B is a dose matrix showing excess over Bliss for the BVD-523/dabrafenib combination. FIG. 12C and FIG. 12D show % viability relative to DMSO only treated controls for dabrafenib and BVD-523 single agent treatments in A375 cells using the Alamar Blue cell viability assay. FIG. 12E shows % viability relative to DMSO only treated controls for dabrafenib and BVD-523 combination treatments in A375 cells using the Alamar Blue cell viability assay.



FIG. 13A is a dose matrix showing % inhibition of the BVD-523/dabrafenib combination in A375 cells using the CellTiter-Glo cell viability assay. FIG. 13B is a dose matrix showing excess over Bliss for the BVD-523/dabrafenib combination. FIG. 13C and FIG. 13D show % viability relative to DMSO only treated controls for dabrafenib and BVD-523 single agent treatments in A375 cells using the CellTiter-Glo cell viability assay. FIG. 13E shows % viability relative to DMSO only treated controls for dabrafenib and BVD-523 combination treatments in A375 cells using the CellTiter-Glo cell viability assay.



FIG. 14A is a dose matrix showing % inhibition of the trametinib/BVD-523 combination in A375 cells using the Alamar Blue cell viability assay. FIG. 14B is a dose matrix showing excess over Bliss for the trametinib/BVD-523 combination. FIG. 14C and FIG. 14D show % viability relative to DMSO only treated controls for BVD-523 and trametinib single agent treatments in A375 cells using the Alamar Blue cell viability assay. FIG. 14E shows % viability relative to DMSO only treated controls for BVD-523 and trametinib combination treatments in A375 cells using the Alamar Blue cell viability assay.



FIG. 15A is a dose matrix showing % inhibition of the trametinib/BVD-523 combination in A375 cells using the CellTiter-Glo cell viability assay. FIG. 15B is a dose matrix showing excess over Bliss for the trametinib/BVD-523 combination. FIG. 15C and FIG. 15D show % viability relative to DMSO only treated controls for BVD-523 and trametinib single agent treatments in A375 cells using the CellTiter-Glo cell viability assay. FIG. 15E shows % viability relative to DMSO only treated controls for BVD-523 and trametinib combination treatments in A375 cells using the CellTiter-Glo cell viability assay.



FIG. 16A-FIG. 16D are a set of images showing Western blot analysis of MAPK signaling in A375 cells after a 4 hour treatment with various concentrations (in nM) of BVD-523, dabrafenib (Dab), and Trametinib (Tram). 40 μg of total protein was loaded in each lane except where indicated otherwise. In this experiment, duplicate samples were collected. FIG. 16A and FIG. 16B show results from duplicate samples. Similarly, FIG. 16C and FIG. 16D also show results from duplicate samples. In FIG. 16A and FIG. 16B, pRSK1 had a relatively weak signal in A375 cells compared to other markers. A different pRSK1-S380 antibody from Cell Signaling (cat. #11989) was tested but did not give a detectable signal (data not shown). In FIG. 16C and FIG. 16D, pCRAF-338 gave a minimal signal.



FIG. 17A-FIG. 17D are a set of images showing Western blot analysis of MAPK signaling in a human colorectal carcinoma cell line (HCT116 cells) after a 4 hour treatment with various concentrations (in nM) of BVD-523, dabrafenib (Dab), and Trametinib (Tram). 40 μg of total protein was loaded in each lane except where indicated otherwise. In this experiment, duplicate samples were collected. FIG. 17A and FIG. 17B show results from duplicate samples. Similarly, FIG. 17C and FIG. 17D also show results from duplicate samples. In FIG. 17A and FIG. 17B, pRSK1 levels appear to be very low in HCT116 cells, and in FIG. 17C and FIG. 17D, pCRAF-338 signal was also very weak.



FIG. 18A-FIG. 18D are a set of images showing Western blot analysis of cell cycle and apoptosis signaling in A375 melanoma cells after a 24 hour treatment with various concentrations (in nM) of BVD-523 (“BVD523”), trametinib (“tram”) and/or dabrafenib (“Dab”) as labelled. 50 μg of total protein was loaded in each lane except where indicated otherwise. In this experiment, duplicate samples were collected. FIG. 18A and FIG. 18B show results from duplicate samples. Similarly, FIG. 18C and FIG. 18D also show results from duplicate samples. In FIG. 18A and FIG. 18B, no band of a size corresponding to cleaved PARP (89 kDa) was apparent.



FIG. 19 shows that BVD-523 can treat acquired resistance to targeted drugs in-vivo. A patient-derived line, ST052C, was isolated from a BRAFV600E melanoma patient that progressed following 10 months of therapy with MAPK-pathway directed therapies. Treated ex vivo, ST052C exhibited acquired cross-resistance to dabrafenib at 50 mg/kg BID. Meanwhile, BVD-523 was effective in ST052C as a single-agent at 100 mg/kg BID.



FIG. 20 is a flowchart showing the dose escalation protocol used herein.



FIG. 21 shows a schematic of the mitogen-activated protein kinases (MAPK) pathway.



FIG. 22A-FIG. 22E show the results of single agent proliferation assays. Proliferation results are shown for treatment with BVD-523 (FIG. 22A), SCH772984 (FIG. 22B), Dabrafenib (FIG. 22C), Trametinib (FIG. 22D), and Paclitaxel (FIG. 22E).



FIG. 23A-FIG. 23O show the results of the combination of BVD-523 and Dabrafenib. FIG. 23A shows a dose matrix showing inhibition (%) for the combination in RKO parental cells. FIG. 23B-FIG. 23C show the results of single agent proliferation assays for the combination in FIG. 23A. FIG. 23D shows Loewe excess for the combination in FIG. 23A and FIG. 23E shows Bliss excess for the combination in FIG. 23A. FIG. 23F shows a dose matrix showing inhibition (%) for the combination in RKO MEK1 (Q56P/+)-clone 1 cells. FIG. 23G-FIG. 23H show the results of single agent proliferation assays for the combination in FIG. 23F. FIG. 23I shows Loewe excess for the combination in FIG. 23F and FIG. 23J shows Bliss excess for the combination in FIG. 23F. FIG. 23K shows a dose matrix showing inhibition (%) for the combination in RKO MEK1 (Q56P/+)-clone 2 cells. FIG. 23L-FIG. 23M show the results of single agent proliferation assays for the combination in FIG. 23K. FIG. 23N shows Loewe excess for the combination in FIG. 23K and FIG. 23O shows Bliss excess for the combination in FIG. 23K.



FIG. 24A-FIG. 24O show the results of the combination of SCH772984 and Dabrafenib. FIG. 24A shows a dose matrix showing inhibition (%) for the combination in RKO parental cells. FIG. 24B-FIG. 24C show the results of single agent proliferation assays for the combination in FIG. 24A. FIG. 24D shows Loewe excess for the combination in FIG. 24A and FIG. 24E shows Bliss excess for the combination in FIG. 24A. FIG. 24F shows a dose matrix showing inhibition (%) for the combination in RKO MEK1 (Q56P/+)-clone 1 cells. FIG. 24G-FIG. 24H show the results of single agent proliferation assays for the combination in FIG. 24F. FIG. 24I shows Loewe excess for the combination in FIG. 24F and FIG. 24J shows Bliss excess for the combination in FIG. 24F. FIG. 24K shows a dose matrix showing inhibition (%) for the combination in RKO MEK1 (Q56P/+)-clone 2 cells. FIG. 24L-FIG. 24M show the results of single agent proliferation assays for the combination in FIG. 24K. FIG. 24N shows Loewe excess for the combination in FIG. 24K and FIG. 24O shows Bliss excess for the combination in FIG. 24K.



FIG. 25A-FIG. 25O show the results of the combination of Trametinib and Dabrafenib. FIG. 25A shows a dose matrix showing inhibition (%) for the combination in RKO parental cells. FIG. 25B-FIG. 25C show the results of single agent proliferation assays for the combination in FIG. 25A. FIG. 25D shows Loewe excess for the combination in FIG. 25A and FIG. 25E shows Bliss excess for the combination in FIG. 25A. FIG. 25F shows a dose matrix showing inhibition (%) for the combination in RKO MEK1 (Q56P/+)-clone 1 cells. FIG. 25G-FIG. 25H show the results of single agent proliferation assays for the combination in FIG. 25F. FIG. 25I shows Loewe excess for the combination in FIG. 25F and FIG. 25J shows Bliss excess for the combination in FIG. 25F. FIG. 25K shows a dose matrix showing inhibition (%) for the combination in RKO MEK1 (Q56P/+)-clone 2 cells. FIG. 25L-FIG. 25M show the results of single agent proliferation assays for the combination in FIG. 25K. FIG. 25N shows Loewe excess for the combination in FIG. 25K and FIG. 25O shows Bliss excess for the combination in FIG. 25K.



FIG. 26A shows Lowe Volumes for the combinations tested. FIG. 26B shows Bliss Volumes for the combinations tested. FIG. 26C shows Synergy Scores for the combinations tested.



FIG. 27A-FIG. 27I show the changes in MAPK and Effector Pathway Signaling in MEK acquired resistance. Isogenic RKO parental and MEK1 (Q56P/+) cells were treated with compound for 4 or 24 h and then immuno-blotted with the indicated antibodies. Dabrafenib was the BRAF inhibitor and trametinib was the MEK inhibitor. FIG. 27A shows increased signaling in RKO MEK1 (Q56P/+) cells. FIG. 27B-FIG. 27C show the results of a 4 hour treatment in Experiment 1 (See, Example 7) in RKO Parental (27B) and RKO MEK1 (Q56P/+) (27C) cells. FIG. 27D-FIG. 27E show the results of a 4 hour treatment in Experiment 2 (See, Example 7) in RKO Parental (27D) and RKO MEK1 (Q56P/+) (27E) cells. FIG. 27F-FIG. 27G show the results of a 4 hour treatment in Experiment 2 (See, Example 7) in RKO Parental (27F) and RKO MEK1 (Q56P/+) (27G) cells. FIG. 27H-FIG. 27I show a summary of results in RKO Parental (27H) and RKO MEK1 (Q56P/+) (27I) cells.



FIG. 28A-FIG. 28E show the results of the combination of BVD-523 and SCH772984. FIG. 28A shows a dose matrix showing inhibition (%) for the combination in A375 cells. FIG. 28B-FIG. 28C show the results of single agent proliferation assays for the combination in FIG. 28A. FIG. 28D shows Loewe excess for the combination in FIG. 28A and FIG. 28E shows Bliss excess for the combination in FIG. 28A.



FIG. 29A-FIG. 29F show discovery and characterization of the novel ERK1/2 inhibitor BVD-523 (ulixertinib). FIG. 29A shows that BVD-523 demonstrates inhibition in a reversible ATP-competitive manner. This is demonstrated by a linear increase in IC50 values for inhibition of ERK2 with increasing ATP concentration as shown in FIG. 29B. FIG. 29C shows a representative plot of the dose-response curve and FIG. 29D shows a plot of IC50 over time. FIG. 29E shows BVD-523 binding to ERK2 and phospho-ERK2 (pERK2), compared with negative control protein p38. FIG. 29F shows BVD-523 binding to ERK2 compared with the ERK inhibitors SCH772984 and pyrazolylpyrrole.



FIG. 30A-FIG. 30D show that BVD 523 inhibits cellular proliferation and enhances caspase 3 and caspase 7 activity in vitro. FIG. 30A shows that BVD-523 demonstrates preferential activity in cells with MAPK pathway mutations, as defined by the presence of mutations in RAS family members and RAF. In addition, as shown in FIG. 30B, BVD-523 blocks sensitive cell lines in the G1 phase of the cell cycle. FIG. 30C shows that BVD-523 induced a concentration- and time-dependent increase in caspase activity in the A375, WM266, and LS411N cancer cell lines after 72 hours of exposure. FIG. 30D shows that the MAPK pathway and effector proteins are modulated by acute (4-hour) and prolonged (24-hour) BVD-523 treatment in BRAFV600E-mutant A375 cells.



FIG. 31A-FIG. 31C show in vivo BVD-523 anti-tumor activity. BVD-523 monotherapy inhibits tumor growth in (FIG. 31A) A375 and (FIG. 31B) Colo205 cell line xenograft models (aP<0.0001, compared with vehicle control; CPT-11 dosed on Day 14 and Day 18 only). Abbreviations: BID, twice daily; CMC, carboxymethylcellulose; QD, every day; Q4D, every 4 days. FIG. 31C shows that in Colo205 xenografts, increased ERK1/2 phosphorylation correlates with BVD-523 concentration.



FIG. 32A shows signaling effects of ERK1/2 inhibitors. Using RPPA, effects on proteins are measured in cell lines (A375, AN3Ca, Colo205, HCT116, HT29 and MIAPaca2) following treatment with ERK1/2 inhibitors BVD-523 (BVD), Vx11e (Vx), GDC-0994 (GDC), or SCH722984 (SCH). FIG. 32B shows that the ERK inhibitors BVD-523, GDC-0994, and Vx11e have differential effects on phospho-ERK (ERK 1/2 T202 Y204) compared with SCH722984; phospho-RSK (p90 RSK 380) and Cyclin D1 are inhibited by the ERK inhibitors tested. Abbreviations: BRAFi, BRAF inhibitors; MEKi, MEK inhibitors. FIG. 32C shows a western blot assay of cellular and nuclear fractions from a RKO cell line following treatment with BVD-523, trametinib, SCH722984, or dabrafenib. Histone H3 (nuclear localized protein) and HSP90 (cytoplasmically localized protein) were included as positive controls to confirm that the nuclear and cytoplasmic fractions were properly enriched; nuclear fractions have high H3 and cytoplasmic fractions have higher HSP90.



FIG. 33 shows that the ERK inhibitors BVD-523, Vx11, GDC-0994, and SCH772984 (SCH) demonstrate cell line-dependent changes in phospho-ATK levels. Abbreviation: DMSO, dimethyl sulfoxide.



FIG. 34A-FIG. 34D show that BVD-523 demonstrates activity in models of resistance to BRAF/MEK inhibition. The appearance of resistance to BVD-523, dabrafenib, or trametinib in BRAFV600E A375 cells following exposure to increasing concentrations of drug is indicated. A strict set of “criteria” was applied to determine when the dose could be increased in order to ensure that the kinetics of the acquisition of resistance between treatments was comparable. See, Example 1. Time is shown against multipliers of IC50; each point on the plotted line represents a change of medium or cell split. FIG. 34A shows that adapting cells to growth in the presence of BVD-523 was more challenging than with either dabrafenib or trametinib. FIG. 34B shows that BVD-523 sensitivity is retained in A375 cells cultured to acquire resistance to combined BRAF (dabrafenib)+MEK (trametinib) inhibition. In FIG. 34C, cells were treated with compound for 96 h and viability was assessed using CellTiter-Glo®. BVD-523 activity is retained in BRAFV600E RKO cells cross-resistant to BRAF (dabrafenib) and MEK (trametinib) inhibitors due to endogenous heterozygous knock-in of MEK1Q56P. FIG. 34D shows that BVD-523 inhibition of pRSK in BRAFV600E-mutant cell line RKO is maintained in the presence of MEK1Q56P, which confers resistance to MEK and BRAF inhibition. Knock-in of KRAS mutant alleles into SW48 cell lines significantly diminishes sensitivity to the MEK inhibitors trametinib and selumetinib, while comparatively sensitivity to BVD-523 is retained.



FIG. 35A shows BVD-523 in vivo activity in xenografts derived from a vemurafenib-relapsed patient. Mean tumor volume (±SEM) is shown for BVD-523 100 mg/kg BID alone, dabrafenib 50 mg/kg BID alone, and BVD-523 100 mg/kg BID plus dabrafenib 50 mg/kg BID. Abbreviations: BID, twice daily; SEM, standard error of mean.



FIG. 36A-FIG. 36D show the benefit of combined BVD-523 and BRAF inhibition. FIG. 36A-FIG. 36B show that the combination of BVD-523 plus dabrafenib exhibited superior antitumor activity compared with treatment with either agent alone in a A375 BRAFV600E-melanoma cell line xenograft model with a tumor start volume of 75-144 mm3. FIG. 36C-FIG. 36D show similar data from the same model with an enlarged tumor volume (700-800 mm3) at the start of dosing. Plots of mean tumor growth (left panels) and Kaplan-Meier survival (right panels) are presented for each study. Abbreviations: BID, twice daily; QD, once daily.



FIG. 37A shows that, in SW48 colorectal cells engineered with KRAS alleles, response to paclitaxel was unaltered compared to control. FIG. 37B shows combination interactions between BVD-523 and vemurafenib, which were assessed using an 8×10 matrix of concentrations using the Loewe Additivity and Bliss Independence Models, and analyzed with Horizon's Chalice, Bioinformatics Software. Chalice enables potential synergistic interactions to be identified by displaying the calculated excess inhibition over that predicted as being additive across the dose matrix as a heat map, and by reporting a quantitative “Synergy Score” based on the Loewe model. The results suggest that interactions between BVD-523 and vemurafenib are at least additive, and in some cases synergistic in melanoma cell lines carrying a BRAFV600E mutation. FIG. 37C shows that BVD-523 in combination with dabrafenib markedly delays the onset of acquired resistance in A375 BRAFV600E melanoma cells. The temporal acquisition of resistance in response to escalating concentrations of dabrafenib alone or in combination with BVD-523 or trametinib was assessed. Strict criteria were applied as to when the dose could be increased to ensure that the kinetics of adaptation was comparable between treatments. See, Example 1.



FIG. 38 shows that BVD-523 inhibits ex vivo PMA-stimulated RSK1/2 phosphorylation in human whole blood. Averages of BVD-523 concentration data set are indicated by (-). n=20 for each concentration of BVD-523. Abbreviations: PBMC, peripheral blood mononuclear cells; RSK, ribosomal S6 kinase.



FIG. 39A shows steady-state BVD-523 pharmacokinetics (Cycle 1, Day 15). The dashed red line indicates an EC50 200 ng/mL HWB. Abbreviations: AUC, area under the curve; BID, twice daily; Cmax, maximum concentration; EC50, 50% maximum effective concentration; HWB, human whole blood; SD, standard deviation. FIG. 39B shows pharmacodynamic inhibition of ERK phosphorylation by BVD-523 in human whole blood. Abbreviations: BID, twice daily; pRSK, phospho-RSK; RSK, ribosomal S6 kinase.



FIG. 40A shows the best radiographic response in patients treated with BVD-523. Included are all patients with disease measured by RECIST v1.1 who received ≥1 dose of study treatment and had >1 on-treatment tumor assessment (25/27; 2 did not receive both scans of target lesions). Response was measured as the change from baseline in the sum of the longest diameter of each target lesion. Dose shown is that which the patient was receiving at the time of response. The dashed line indicates the threshold for a partial response according to RECIST v1.1. Abbreviations: CRC, colorectal cancer; NET, neuroendocrine tumors; NSCLC, non-small cell lung cancer; NSGCT, nonseminomatous germ cell tumors; PNET, pancreatic NET; PTC, papillary thyroid cancer; RECIST v1.1, Response Evaluation Criteria in Solid Tumors version 1.1; SLD, sum of the largest diameter. FIG. 40B shows a computerized tomography scan of a confirmed partial response in a 61-year-old patient with a BRAF-mutant melanoma treated with BVD-523.



FIG. 41 shows tumor response and tumor progression. Shown is a swimmer plot of tumor response, tumor progression, and duration of treatment in response-evaluable patients treated with BVD-523. Origin of the vertical axis corresponds to randomization date or reference start date. Analysis cut-off date: Dec. 1, 2015. Abbreviation: BID, twice daily.





DETAILED DESCRIPTION OF THE INVENTION

One embodiment of the present invention is a method for treating or ameliorating the effects of a cancer in a subject, which cancer is refractory or resistant to non-ERK MAPK pathway inhibitor therapy. The method comprises administering to the subject an effective amount of BVD-523 or a pharmaceutically acceptable salt thereof.


As used herein, the terms “treat,” “treating,” “treatment” and grammatical variations thereof mean subjecting an individual subject to a protocol, regimen, process or remedy, in which it is desired to obtain a physiologic response or outcome in that subject, e.g., a patient. In particular, the methods and compositions of the present invention may be used to slow the development of disease symptoms or delay the onset of the disease or condition, or halt the progression of disease development. However, because every treated subject may not respond to a particular treatment protocol, regimen, process or remedy, treating does not require that the desired physiologic response or outcome be achieved in each and every subject or subject population, e.g., patient population. Accordingly, a given subject or subject population, e.g., patient population may fail to respond or respond inadequately to treatment.


As used herein, the terms “ameliorate”, “ameliorating” and grammatical variations thereof mean to decrease the severity of the symptoms of a disease in a subject.


As used herein, a “subject” is a mammal, preferably, a human. In addition to humans, categories of mammals within the scope of the present invention include, for example, farm animals, domestic animals, laboratory animals, etc. Some examples of farm animals include cows, pigs, horses, goats, etc. Some examples of domestic animals include dogs, cats, etc. Some examples of laboratory animals include primates, rats, mice, rabbits, guinea pigs, etc.


In the present invention, BVD-523 corresponds to a compound according to formula (I):




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and pharmaceutically acceptable salts thereof. BVD-523 may be synthesized according to the methods disclosed, e.g., in U.S. Pat. No. 7,354,939. Enantiomers and racemic mixtures of both enantiomers of BVD-523 are also contemplated within the scope of the present invention. BVD-523 is an ERK1/2 inhibitor with a mechanism of action that is believed to be, e.g., unique and distinct from certain other ERK1/2 inhibitors, such as SCH772984 and the pyrimidinal structure used by Hatzivassiliou et al. (2012). For example, other ERK1/2 inhibitors, such as SCH772984, inhibit autophosphorylation of ERK (Morris et al., 2013), whereas BVD-523 allows for the autophosphorylation of ERK while still inhibiting ERK. (See, e.g., FIG. 18).


As used herein, the words “resistant” and “refractory” are used interchangeably. Being “resistant” to non-ERK MAPK pathway inhibitor therapy treatments means that non-ERK MAPK inhibitors have reduced efficacy in treating cancer.


As used herein, a “non-ERK MAPK inhibitor” means any substance that reduces the activity, expression or phosphorylation of proteins or other members of the MAPK pathway that results in a reduction of cell growth or an increase in cell death, with the exception of ERK1/2 inhibitors. As used herein, an “ERK1/2 inhibitor” means those substances that (i) directly interact with ERK1 and/or ERK2, e.g., by binding to ERK1/2 and (ii) decrease the expression or the activity of ERK1 and/or ERK2 protein kinases. Therefore, inhibitors that act upstream of ERK1/2, such as MEK inhibitors and RAF inhibitors, are not ERK1/2 inhibitors according to the present invention (but they are non-ERK MAPK inhibitors). Non-limiting examples of ERK1/2 inhibitors according to the present invention include AEZS-131 (Aeterna Zentaris), AEZS-136 (Aeterna Zentaris), BVD-523 (BioMed Valley Discoveries, Inc.), SCH-722984 (Merck & Co.), SCH-772984 (Merck & Co.), SCH-900353 (MK-8353) (Merck & Co.), pharmaceutically acceptable salts thereof, and combinations thereof.


An overview of the mammalian MAPK cascades is shown in FIG. 21. The MAPK pathway is reviewed in e.g., Akinleye et al., 2013. Briefly, with respect to the ERK1/2 module in FIG. 21 (light purple box), the MAPK 1/2 signaling cascade is activated by ligand binding to receptor tyrosine kinases (RTK). The activated receptors recruit and phosphorylate adaptor proteins Grb2 and SOS, which then interact with membrane-bound GTPase Ras and cause its activation. In its activated GTP-bound form, Ras recruits and activates RAF kinases (A-RAF, B-RAF, and C-RAF/RAF-1). The activated RAF kinases activate MAPK 1/2 (MKK1/2), which in turn catalyzes the phosphorylation of threonine and tyrosine residues in the activation sequence Thr-Glu-Tyr of ERK1/2. With respect to the JNK/p38 module (yellow box in FIG. 21), upstream kinases, MAP3Ks, such as MEKK1/4, ASK1/2, and MLK1/2/3, activate MAP2K3/6 (MKK3/6), MAP2K4 (MKK4), and MAP2K7 (MKK7). These MAP2K's then activate JNK protein kinases, including JNK1, JNK2, and JNK3, as well as p38 α/β/γ/δ. To execute their functions, JNKs activate several transcription factors, including c-Jun, ATF-2, NF-ATc1, HSF-1 and STAT3. With respect to the ERK5 module (blue box in FIG. 21), the kinases upstream of MAP2K5 (MKK5) are MEKK2 and MEKK3. The best characterized downstream target of MEK5 is ERK5, also known as big MAP kinase 1 (BMK1) because it is twice the size of other MAPKs.


Non-limiting examples of non-ERK MAPK pathway inhibitors according to the present invention include RAS inhibitors, RAF inhibitors (such as, e.g., inhibitors of A-RAF, B-RAF, C-RAF (RAF-1)), MEK inhibitors, and combinations thereof. Preferably, the non-ERK MAPK pathway inhibitors are BRAF inhibitors, MEK inhibitors, and combinations thereof.


As used herein, a “RAS inhibitor” means those substances that (i) directly interact with RAS, e.g., by binding to RAS and (ii) decrease the expression or the activity of RAS. Non-limiting exemplary RAS inhibitors include, but are not limited to, farnesyl transferase inhibitors (such as, e.g., tipifarnib and lonafarnib), farnesyl group-containing small molecules (such as, e.g., salirasib and TLN-4601), DCAI, as disclosed by Maurer (Maurer et al., 2012), Kobe0065 and and Kobe2602, as disclosed by Shima (Shima et al., 2013), HBS 3 (Patgiri et al., 2011), and AIK-4 (Allinky).


As used herein, a “RAF inhibitor” means those substances that (i) directly interact with RAF, e.g., by binding to RAF and (ii) decrease the expression or the activity of RAF, such as, e.g., A-RAF, B-RAF, and C-RAF (RAF-1). Non-limiting exemplary RAF inhibitors, including BRAF inhibitors, include:




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AAL881 (Novartis); AB-024 (Ambit Biosciences), ARQ-736 (ArQule), ARQ-761 (ArQule), AZ628 (Axon Medchem BV), BeiGene-283 (BeiGene), BUB-024 (MLN 2480) (Sunesis & Takeda), b-raf inhibitor (Sareum), BRAF kinase inhibitor (Selexagen Therapeutics), BRAF siRNA 313 (tacaccagcaagctagatgca) and 523 (cctatcgttagagtcttcctg) (Liu et al., 2007), CTT239065 (Institute of Cancer Research), dabrafenib (GSK2118436), DP-4978 (Deciphera Pharmaceuticals), HM-95573 (Hanmi), GDC-0879 (Genentech), GW-5074 (Sigma Aldrich), ISIS 5132 (Novartis), L779450 (Merck), LBT613 (Novartis), LErafAON (NeoPharm, Inc.), LGX-818 (Novartis), pazopanib (GlaxoSmithKline), PLX3202 (Plexxikon), PLX4720 (Plexxikon), PLX5568 (Plexxikon), RAF-265 (Novartis), RAF-365 (Novartis), regorafenib (Bayer Healthcare Pharmaceuticals, Inc.), RO 5126766 (Hoffmann-La Roche), SB-590885 (GlaxoSmithKline), SB699393 (GlaxoSmithKline), sorafenib (Onyx Pharmaceuticals), TAK 632 (Takeda), TL-241 (Teligene), vemurafenib (RG7204 or PLX4032) (Daiichi Sankyo), XL-281 (Exelixis), ZM-336372 (AstraZeneca), pharmaceutically acceptable salts thereof, and combinations thereof.


As used herein, a “MEK inhibitor” means those substances that (i) directly interact with MEK, e.g., by binding to MEK and (ii) decrease the expression or the activity of MEK. Thus, inhibitors that act upstream of MEK, such as RAS inhibitors and RAF inhibitors, are not MEF inhibitors according to the present invention. Non-limiting examples of MEK inhibitors include anthrax toxin, antroquinonol (Golden Biotechnology), ARRY-142886 (6-(4-bromo-2-chloro-phenylamino)-7-fluoro-3-methyl-3H-benzoimidazole-5-carboxylic acid (2-hydroxy-ethoxy)-amide) (Array BioPharma), ARRY-438162 (Array BioPharma), AS-1940477 (Astellas), AS-703988 (Merck KGaA), bentamapimod (Merck KGaA), BI-847325 (Boehringer Ingelheim), E-6201 (Eisai), GDC-0623 (Hoffmann-La Roche), GDC-0973 (cobimetinib) (Hoffmann-La Roche), L783277 (Merck), lethal factor portion of anthrax toxin, MEK162 (Array BioPharma), PD 098059 (2-(2′-amino-3′-methoxyphenyl)-oxanaphthalen-4-one) (Pfizer), PD 184352 (CI-1040) (Pfizer), PD-0325901 (Pfizer), pimasertib (Santhera Pharmaceuticals), RDEA119 (Ardea Biosciences/Bayer), refametinib (AstraZeneca), RG422 (Chugai Pharmaceutical Co.), RO092210 (Roche), RO4987655 (Hoffmann-La Roche), RO5126766 (Hoffmann-La Roche), selumetinib (AZD6244) (AstraZeneca), SL327 (Sigma), TAK-733 (Takeda), trametinib (Japan Tobacco), U0126 (1,4-diamino-2,3-dicyano-1,4-bis(2-aminophenylthio)butadiene) (Sigma), WX-554 (Wilex), YopJ polypeptide (Mittal et al., 2010), pharmaceutically acceptable salts thereof, and combinations thereof.


In one aspect of this embodiment, substantially all phosphorylation of ribosomal s6 kinase (RSK) is inhibited after administration of BVD-523 or a pharmaceutically acceptable salt thereof. As used herein in the context of RSK phosphorylation, “substantially all” means a reduction of greater than 50% reduction, preferably greater than 55%, 60%, 65%, 70%, 75%, 80%, 85%, 90%, 91%, 92%, 93%, 94%, 95%, 96%, 97%, 98%, or 99% A reduction.


In another aspect of this embodiment, the cancer has MAPK activity. As used herein, having “MAPK activity” means that proteins downstream of ERK are still active, even if proteins upstream of ERK may not be active. Such a cancer may be a solid tumor cancer or a hematologic cancer.


In the present invention, cancers include both solid and hemotologic cancers. Non-limiting examples of solid cancers include adrenocortical carcinoma, anal cancer, bladder cancer, bone cancer (such as osteosarcoma), brain cancer, breast cancer, carcinoid cancer, carcinoma, cervical cancer, colon cancer, endometrial cancer, esophageal cancer, extrahepatic bile duct cancer, Ewing family of cancers, extracranial germ cell cancer, eye cancer, gallbladder cancer, gastric cancer, germ cell tumor, gestational trophoblastic tumor, head and neck cancer, hypopharyngeal cancer, islet cell carcinoma, kidney cancer, large intestine cancer, laryngeal cancer, leukemia, lip and oral cavity cancer, liver tumor/cancer, lung tumor/cancer, lymphoma, malignant mesothelioma, Merkel cell carcinoma, mycosis fungoides, myelodysplastic syndrome, myeloproliferative disorders, nasopharyngeal cancer, neuroblastoma, oral cancer, oropharyngeal cancer, osteosarcoma, ovarian epithelial cancer, ovarian germ cell cancer, pancreatic cancer, paranasal sinus and nasal cavity cancer, parathyroid cancer, penile cancer, pituitary cancer, plasma cell neoplasm, prostate cancer, rhabdomyosarcoma, rectal cancer, renal cell cancer, transitional cell cancer of the renal pelvis and ureter, salivary gland cancer, Sezary syndrome, skin cancers (such as cutaneous t-cell lymphoma, Kaposi's sarcoma, mast cell tumor, and melanoma), small intestine cancer, soft tissue sarcoma, stomach cancer, testicular cancer, thymoma, thyroid cancer, urethral cancer, uterine cancer, vaginal cancer, vulvar cancer, and Wilms' tumor.


Examples of hematologic cancers include, but are not limited to, leukemias, such as adult/childhood acute lymphoblastic leukemia, adult/childhood acute myeloid leukemia, chronic lymphocytic leukemia, chronic myelogenous leukemia, and hairy cell leukemia, lymphomas, such as AIDS-related lymphoma, cutaneous T-cell lymphoma, adult/childhood Hodgkin lymphoma, mycosis fungoides, adult/childhood non-Hodgkin lymphoma, primary central nervous system lymphoma, Sezary syndrome, cutaneous T-cell lymphoma, and Waldenstrom macroglobulinemia, as well as other proliferative disorders such as chronic myeloproliferative disorders, Langerhans cell histiocytosis, multiple myeloma/plasma cell neoplasm, myelodysplastic syndromes, and myelodysplastic/myeloproliferative neoplasms.


Preferably, the cancer is selected from the group consisting of a cancer of the large intestine, breast cancer, pancreatic cancer, skin cancer, and endometrial cancers. More preferably, the cancer is melanoma.


In another aspect of this embodiment, the method further comprises administering to the subject at least one additional therapeutic agent effective for treating or ameliorating the effects of the cancer. The additional therapeutic agent may be selected from the group consisting of an antibody or fragment thereof, a cytotoxic agent, a toxin, a radionuclide, an immunomodulator, a photoactive therapeutic agent, a radiosensitizing agent, a hormone, an anti-angiogenesis agent, and combinations thereof.


As used herein, an “antibody” encompasses naturally occurring immunoglobulins as well as non-naturally occurring immunoglobulins, including, for example, single chain antibodies, chimeric antibodies (e.g., humanized murine antibodies), and heteroconjugate antibodies (e.g., bispecific antibodies). Fragments of antibodies include those that bind antigen, (e.g., Fab′, F(ab′)2, Fab, Fv, and rIgG). See also, e.g., Pierce Catalog and Handbook, 1994-1995 (Pierce Chemical Co., Rockford, Ill.); Kuby, J., Immunology, 3rd Ed., W.H. Freeman & Co., New York (1998). The term antibody also includes bivalent or bispecific molecules, diabodies, triabodies, and tetrabodies. The term “antibody” further includes both polyclonal and monoclonal antibodies.


Examples of therapeutic antibodies that may be used in the present invention include rituximab (Rituxan), Cetuximab (Erbitux), bevacizumab (Avastin), and Ibritumomab (Zevalin).


Cytotoxic agents according to the present invention include DNA damaging agents, antimetabolites, anti-microtubule agents, antibiotic agents, etc. DNA damaging agents include alkylating agents, platinum-based agents, intercalating agents, and inhibitors of DNA replication. Non-limiting examples of DNA alkylating agents include cyclophosphamide, mechlorethamine, uramustine, melphalan, chlorambucil, ifosfamide, carmustine, lomustine, streptozocin, busulfan, temozolomide, pharmaceutically acceptable salts thereof, prodrugs, and combinations thereof. Non-limiting examples of platinum-based agents include cisplatin, carboplatin, oxaliplatin, nedaplatin, satraplatin, triplatin tetranitrate, pharmaceutically acceptable salts thereof, prodrugs, and combinations thereof. Non-limiting examples of intercalating agents include doxorubicin, daunorubicin, idarubicin, mitoxantrone, pharmaceutically acceptable salts thereof, prodrugs, and combinations thereof. Non-limiting examples of inhibitors of DNA replication include irinotecan, topotecan, amsacrine, etoposide, etoposide phosphate, teniposide, pharmaceutically acceptable salts thereof, prodrugs, and combinations thereof. Antimetabolites include folate antagonists such as methotrexate and premetrexed, purine antagonists such as 6-mercaptopurine, dacarbazine, and fludarabine, and pyrimidine antagonists such as 5-fluorouracil, arabinosylcytosine, capecitabine, gemcitabine, decitabine, pharmaceutically acceptable salts thereof, prodrugs, and combinations thereof. Anti-microtubule agents include without limitation vinca alkaloids, paclitaxel (Taxol®), docetaxel (Taxotere®), and ixabepilone (Ixempra®). Antibiotic agents include without limitation actinomycin, anthracyclines, valrubicin, epirubicin, bleomycin, plicamycin, mitomycin, pharmaceutically acceptable salts thereof, prodrugs, and combinations thereof.


Cytotoxic agents according to the present invention also include an inhibitor of the PI3K/Akt pathway. Non-limiting examples of an inhibitor of the PI3K/Akt pathway include A-674563 (CAS #552325-73-2), AGL 2263, AMG-319 (Amgen, Thousand Oaks, Calif.), AS-041164 (5-benzo[1,3]dioxol-5-ylmethylene-thiazolidine-2,4-dione), AS-604850 (5-(2,2-Difluoro-benzo[1,3]dioxol-5-ylmethylene)-thiazolidine-2,4-dione), AS-605240 (5-quinoxilin-6-methylene-1,3-thiazolidine-2,4-dione), AT7867 (CAS #857531-00-1), benzimidazole series, Genentech (Roche Holdings Inc., South San Francisco, Calif.), BML-257 (CAS #32387-96-5), CAL-120 (Gilead Sciences, Foster City, Calif.), CAL-129 (Gilead Sciences), CAL-130 (Gilead Sciences), CAL-253 (Gilead Sciences), CAL-263 (Gilead Sciences), CAS #612847-09-3, CAS #681281-88-9, CAS #75747-14-7, CAS #925681-41-0, CAS #98510-80-6, CCT128930 (CAS #885499-61-6), CH5132799 (CAS #1007207-67-1), CHR-4432 (Chroma Therapeutics, Ltd., Abingdon, UK), FPA 124 (CAS #902779-59-3), GS-1101 (CAL-101) (Gilead Sciences), GSK 690693 (CAS #937174-76-0), H-89 (CAS #127243-85-0), Honokiol, IC87114 (Gilead Science), IPI-145 (Intellikine Inc.), KAR-4139 (Karus Therapeutics, Chilworth, UK), KAR-4141 (Karus Therapeutics), KIN-1 (Karus Therapeutics), KT 5720 (CAS #108068-98-0), Miltefosine, MK-2206 dihydrochloride (CAS #1032350-13-2), ML-9 (CAS #105637-50-1), Naltrindole Hydrochloride, OXY-111A (NormOxys Inc., Brighton, Mass.), perifosine, PHT-427 (CAS #1191951-57-1), PI3 kinase delta inhibitor, Merck KGaA (Merck & Co., Whitehouse Station, N.J.), PI3 kinase delta inhibitors, Genentech (Roche Holdings Inc.), PI3 kinase delta inhibitors, Incozen (Incozen Therapeutics, Pvt. Ltd., Hydrabad, India), PI3 kinase delta inhibitors-2, Incozen (Incozen Therapeutics), PI3 kinase inhibitor, Roche-4 (Roche Holdings Inc.), PI3 kinase inhibitors, Roche (Roche Holdings Inc.), PI3 kinase inhibitors, Roche-5 (Roche Holdings Inc.), PI3-alpha/delta inhibitors, Pathway Therapeutics (Pathway Therapeutics Ltd., South San Francisco, Calif.), PI3-delta inhibitors, Cellzome (Cellzome AG, Heidelberg, Germany), PI3-delta inhibitors, Intellikine (Intellikine Inc., La Jolla, Calif.), PI3-delta inhibitors, Pathway Therapeutics-1 (Pathway Therapeutics Ltd.), PI3-delta inhibitors, Pathway Therapeutics-2 (Pathway Therapeutics Ltd.), PI3-delta/gamma inhibitors, Cellzome (Cellzome AG), PI3-delta/gamma inhibitors, Cellzome (Cellzome AG), PI3-delta/gamma inhibitors, Intellikine (Intellikine Inc.), PI3-delta/gamma inhibitors, Intellikine (Intellikine Inc.), PI3-delta/gamma inhibitors, Pathway Therapeutics (Pathway Therapeutics Ltd.), PI3-delta/gamma inhibitors, Pathway Therapeutics (Pathway Therapeutics Ltd.), PI3-gamma inhibitor Evotec (Evotec), PI3-gamma inhibitor, Cellzome (Cellzome AG), PI3-gamma inhibitors, Pathway Therapeutics (Pathway Therapeutics Ltd.), PI3K delta/gamma inhibitors, Intellikine-1 (Intellikine Inc.), PI3K delta/gamma inhibitors, Intellikine-1 (Intellikine Inc.), pictilisib (Roche Holdings Inc.), PIK-90 (CAS #677338-12-4), SC-103980 (Pfizer, New York, N.Y.), SF-1126 (Semafore Pharmaceuticals, Indianapolis, Ind.), SH-5, SH-6, Tetrahydro Curcumin, TG100-115 (Targegen Inc., San Diego, Calif.), Triciribine, X-339 (Xcovery, West Palm Beach, Fla.), XL-499 (Evotech, Hamburg, Germany), pharmaceutically acceptable salts thereof, and combinations thereof.


In the present invention, the term “toxin” means an antigenic poison or venom of plant or animal origin. An example is diphtheria toxin or portions thereof.


In the present invention, the term “radionuclide” means a radioactive substance administered to the patient, e.g., intravenously or orally, after which it penetrates via the patient's normal metabolism into the target organ or tissue, where it delivers local radiation for a short time. Examples of radionuclides include, but are not limited to, 1-125, At-211, Lu-177, Cu-67, I-131, Sm-153, Re-186, P-32, Re-188, In-114m, and Y-90.


In the present invention, the term “immunomodulator” means a substance that alters the immune response by augmenting or reducing the ability of the immune system to produce antibodies or sensitized cells that recognize and react with the antigen that initiated their production. Immunomodulators may be recombinant, synthetic, or natural preparations and include cytokines, corticosteroids, cytotoxic agents, thymosin, and immunoglobulins. Some immunomodulators are naturally present in the body, and certain of these are available in pharmacologic preparations. Examples of immunomodulators include, but are not limited to, granulocyte colony-stimulating factor (G-CSF), interferons, imiquimod and cellular membrane fractions from bacteria, IL-2, IL-7, IL-12, CCL3, CCL26, CXCL7, and synthetic cytosine phosphate-guanosine (CpG).


In the present invention, the term “photoactive therapeutic agent” means compounds and compositions that become active upon exposure to light. Certain examples of photoactive therapeutic agents are disclosed, e.g., in U.S. Patent Application Serial No. 2011/0152230 A1, “Photoactive Metal Nitrosyls For Blood Pressure Regulation And Cancer Therapy.”


In the present invention, the term “radiosensitizing agent” means a compound that makes tumor cells more sensitive to radiation therapy. Examples of radiosensitizing agents include misonidazole, metronidazole, tirapazamine, and trans sodium crocetinate.


In the present invention, the term “hormone” means a substance released by cells in one part of a body that affects cells in another part of the body. Examples of hormones include, but are not limited to, prostaglandins, leukotrienes, prostacyclin, thromboxane, amylin, antimullerian hormone, adiponectin, adrenocorticotropic hormone, angiotensinogen, angiotensin, vasopressin, atriopeptin, brain natriuretic peptide, calcitonin, cholecystokinin, corticotropin-releasing hormone, encephalin, endothelin, erythropoietin, follicle-stimulating hormone, galanin, gastrin, ghrelin, glucagon, gonadotropin-releasing hormone, growth hormone-releasing hormone, human chorionic gonadotropin, human placental lactogen, growth hormone, inhibin, insulin, somatomedin, leptin, liptropin, luteinizing hormone, melanocyte stimulating hormone, motilin, orexin, oxytocin, pancreatic polypeptide, parathyroid hormone, prolactin, prolactin releasing hormone, relaxin, renin, secretin, somatostain, thrombopoietin, thyroid-stimulating hormone, testosterone, dehydroepiandrosterone, androstenedione, dihydrotestosterone, aldosterone, estradiol, estrone, estriol, cortisol, progesterone, calcitriol, and calcidiol.


Some compounds interfere with the activity of certain hormones or stop the production of certain hormones. These hormone-interfering compounds include, but are not limited to, tamoxifen (Nolvadex®), anastrozole (Arimidex®), letrozole (Femara®), and fulvestrant (Faslodex®). Such compounds are also within the meaning of hormone in the present invention.


As used herein, an “anti-angiogenesis” agent means a substance that reduces or inhibits the growth of new blood vessels, such as, e.g., an inhibitor of vascular endothelial growth factor (VEGF) and an inhibitor of endothelial cell migration. Anti-angiogenesis agents include without limitation 2-methoxyestradiol, angiostatin, bevacizumab, cartilage-derived angiogenesis inhibitory factor, endostatin, IFN-α, IL-12, itraconazole, linomide, platelet factor-4, prolactin, SU5416, suramin, tasquinimod, tecogalan, tetrathiomolybdate, thalidomide, thrombospondin, thrombospondin, TNP-470, ziv-aflibercept, pharmaceutically acceptable salts thereof, prodrugs, and combinations thereof.


Another embodiment of the present invention is a method for treating or ameliorating the effects of a cancer in a subject. The method comprises:


(a) identifying a subject with cancer that has become refractory or resistant to BRAF inhibitor therapy, MEK inhibitor therapy, or BRAF and MEK inhibitor therapy; and


(b) administering to the subject with said refractory or resistant cancer an effective amount of an ERK inhibitor, which is BVD-523 or a pharmaceutically acceptable salt thereof.


Suitable and preferred subjects are as disclosed herein. In this embodiment, the methods may be used to treat the cancers disclosed above. In accordance with the present invention, the cancer may have MAPK activity.


In one aspect of this embodiment, identifying a subject with cancer that is refractory or resistant to BRAF and/or MEK inhibitor therapy comprises:


(a) obtaining a biological sample from the subject; and


(b) screening the sample to determine whether the subject has become resistant to an inhibitor therapy selected from the group consisting of BRAF inhibitor therapy, MEK inhibitor therapy, and combinations thereof.


In the present invention, biological samples include, but are not limited to, blood, plasma, urine, skin, saliva, and biopsies. Biological samples are obtained from a subject by routine procedures and methods which are known in the art.


Preferably, screening for a cancer that is refractory or resistant to BRAF inhibitor therapy may comprise, e.g., identifying (i) a switch between RAF isoforms, (ii) upregulation of RTK or NRAS signaling, (iii) reactivation of mitogen activated protein kinase (MAPK) signaling, (iv) the presence of a MEK activating mutation, and combinations thereof.


A switch between RAF isoforms may occur in subjects having acquired resistance to BRAF inhibitor therapy. To detect such a switch, BRAF inhibitor-resistant tumor cells may be retrieved from a patient and analyzed via Western blotting for ERK and phospho-ERK levels in the presence of a BRAF inhibitor. Comparison with BRAF inhibitor-sensitive cells treated with a BRAF inhibitor may reveal higher levels of phospho-ERK in BRAF inhibitor-resistant tumor cells, implying that a switch has taken place in which another RAF isoform phosphorylates ERK in place of BRAF. Confirmation of which RAF isoform has taken over may involve sh/siRNA-mediated knockdown of ARAF and CRAF individually in BRAF inhibitor-resistant cells exposed to a BRAF inhibitor, followed by subsequent Western blotting for ERK and phospho-ERK levels. If, for example, ARAF knockdown in BRAF inhibitor-resistant cells exposed to a BRAF inhibitor still results in high levels of phospho-ERK, it would indicate that CRAF has taken over phosphorylating ERK. Likewise, if CRAF was knocked down in BRAF inhibitor-resistant cells exposed to BRAF inhibitor and ERK was still highly phosphorylated, it would mean that ARAF has taken over ERK phosphorylation. RAF isoform switching may also involve simultaneous knockdown of ARAF and CRAF in BRAF inhibitor-resistant cells in the presence of BRAF inhibitor, effectively blocking all RAF-mediated phosphorylation. A resulting decrease in ERK phosphorylation would indicate that the BRAF inhibitor-resistant cells have the capacity to switch between RAF isoforms in order to phosphorylate ERK (Villanueva, et al., 2010).


Upregulation of RTK or NRAS signaling may also be a cause of BRAF inhibitor resistance. Detection may, e.g., first involve using Western blotting protocols with phospho-specific antibodies to analyze the activation of the downstream RAF effectors MEK1/2 and ERK1/2. If BRAF inhibitor-resistant cells show high activation levels of these proteins in the presence of a BRAF inhibitor, RTK or NRAS upregulation may be the cause. Gene expression profiling (or other related methods) of BRAF inhibitor-resistant cells in the presence of a BRAF inhibitor may reveal higher expression levels of KIT, MET, EGFR, and PDGFRβ RTKs as compared to BRAF inhibitor-sensitive cells. Real-time quantitative polymerase chain reaction experiments, or other similar procedures, focusing on any of these genes may confirm higher expression levels while phospho-RTK arrays (R&D Systems, Minneapolis, Minn.) may show elevated activation-associated tyrosine phosphorylation. Alternatively, NRAS activation may be detected by various gene sequencing protocols. Activating mutations in NRAS, particularly Q61K, may indicate that B-RAF signaling has been bypassed. In melanoma cells, activated NRAS uses C-RAF to signal to MEK-ERK. Thus, activated NRAS may enable a similar bypass pathway in BRAF inhibitor-resistant cells exposed to BRAF inhibitor. Further confirmation of these mechanisms in a given BRAF inhibitor-resistant sample may be accomplished, for example, using sh/siRNA-mediated knockdown of upregulated RTKs or activated NRAS in the presence of BRAF inhibitor. Any significant levels of growth inhibition may indicate that upregulation of RTK or NRAS signaling is the cause of BRAF inhibition in that particular sample (Nazarian, et al., 2010).


Detecting reactivation of MAPK signaling in BRAF inhibitor-resistant cells may indicate another bypass mechanism for BRAF inhibitor resistance. COT and C-RAF have been shown to be upregulated in a BRAF V600E background exposed to BRAF inhibitor. Quantiative real-time RT-PCR, e.g., may reveal increased COT expression in BRAF inhibitor-resistant cells in the presence of BRAF inhibitor. Furthermore, sh/siRNA-mediated knockdown of COT in BRAF inhibitor-resistant cells in the presence of BRAF inhibitor may reduce the viability of BRAF inhibitor-resistant cells, indicating that these particular cells may be sensitive to COT inhibition and/or combination BRAF inhibitor/MEK inhibitor treatments (Johannessen, et al., 2010).


Reactivation of MAPK signaling may also be accomplished in a BRAF inhibitor-resistant background by activating mutations in MEK1. Targeted, massively parallel sequencing of genomic DNA from a BRAF inhibitor-resistant tumor may reveal activating mutations in MEK1, such as C121S, G128D, N122D, and Y130, among others. Other, undocumented mutations in MEK1 may be analyzed by, for example, expressing the particular mutation in a BRAF inhibitor-sensitive cell line such as A375. Determining levels of growth inhibition in these cells upon exposure to BRAF inhibitor may indicate if the MEK1 mutation is causing resistance to BRAF inhibitory therapy. To confirm such a finding, Western blotting for elevated levels of phospho-ERK1/2 in cells ectopically expressing the MEK1 mutation may indicate that the MEK1 mutation is allowing the BRAF inhibitor-resistant tumor to bypass BRAF and promote phosphorylation of ERK through MEK1 (Wagle, et al., 2011).


In accordance with the present invention, screening for a cancer that is refractory or resistant to MEK inhibitor therapy may comprise, e.g., identifying (i) amplification of mutant BRAF, (ii) STAT3 upregulation, (iii) mutations in the allosteric pocket of MEK that directly block binding of inhibitors to MEK or lead to constitutive MEK activity, and combinations thereof.


Amplification of mutant BRAF may cause MEK inhibitor resistance. MEK inhibitor resistance is typically associated with high levels of phosphorylated ERK and MEK in the presence of a MEK inhibitor, which may be assessed via, for example, Western blotting. Amplification of mutant BRAF in MEK inhibitor-resistant cell lines may be detected by, for example, fluorescence in situ hybridization (FISH) or quantitative PCR from genomic DNA of the resistant cell lines. Confirmation that BRAF amplification is a primary cause of MEK inhibitor resistance may entail using BRAF-targeted sh/siRNAs in resistant cells. If a significant decrease in MEK or ERK phosphorylation is observed, BRAF amplification may be a suitable target for further therapeutic approaches. (Corcoran, et al., 2010).


Identifying STAT3 upregulation may indicate that a particular tumor sample is resistant to MEK inhibitor therapy. Genome-wide expression profiling may reveal the STAT3 pathway to be upregulated in a tumor. Other techniques, such as Western blotting for phospho-STAT3 and real-time qPCR for the STAT pathway-associated genes JAK1 and IL6ST may reveal upregulated STAT3. Further confirmation that STAT3 upregulation causes MEK inhibitor resistance in a particular sample may comprise the use of sh/siRNAs against STAT3 in the sample followed by appropriate Western blotting for MEK and ERK activation as well as phospho-STAT3 and total STAT3. Growth inhibition studies may show that STAT3 knockdown sensitizes previously MEK inhibitor-resistant cells to MEK inhibition. A similar effect may be seen if the sample were exposed to a STAT3 inhibitor such as JSI-124. Additional confirmation that STAT3 upregulation is the cause of MEK inhibitor resistance in a particular tumor could arise from Western blotting for BIM expression, including BIM-EL, BIM-L, and BIM-SL. BIM expression leads to MEK inhibitor-induced apoptosis, thus STAT3 upregulation may lower BIM levels. STAT3 is known to regulate the expression of miR 17-92, which suppresses BIM expression. Upregulated STAT3 may lead to higher levels of miR 17-92, which will lower BIM levels and promote resistance to MEK inhibition. Thus, real-time qPCR of miR 17-92 levels may also assist in assessing whether STAT3 upregulation is causing MEK inhibition resistance in a particular sample. (Dai, et al., 2011).


Mutations in the allosteric pocket of MEK that can directly block binding of inhibitors to MEK or lead to constitutive MEK activity may be detected by methods disclosed below. Such mutations have been identified previously by Emery and colleagues (Emery, et al., 2009) as well as Wang and colleagues (Wang et al., 2011). Other mutations may affect MEK1 codons located within or abutting the N-terminal negative regulatory helix, such as P124L and Q56P. (Id.).


Methods for identifying mutations in nucleic acids, such as the above identified MEK genes, are known in the art. Nucleic acids may be obtained from biological samples. In the present invention, biological samples include, but are not limited to, blood, plasma, urine, skin, saliva, and biopsies. Biological samples are obtained from a subject by routine procedures and methods which are known in the art.


Non-limiting examples of methods for identifying mutations include PCR, sequencing, hybrid capture, in-solution capture, molecular inversion probes, fluorescent in situ hybridization (FISH) assays, and combinations thereof.


Various sequencing methods are known in the art. These include, but are not limited to, Sanger sequencing (also referred to as dideoxy sequencing) and various sequencing-by-synthesis (SBS) methods as disclosed in, e.g., Metzker 2005, sequencing by hybridization, by ligation (for example, WO 2005021786), by degradation (for example, U.S. Pat. Nos. 5,622,824 and 6,140,053) and nanopore sequencing (which is commercially available from Oxford Nanopore Technologies, UK). In deep sequencing techniques, a given nucleotide in the sequence is read more than once during the sequencing process. Deep sequencing techniques are disclosed in e.g., U.S. Patent Publication No. 20120264632 and International Patent Publication No. WO2012125848.


PCR-based methods for detecting mutations are known in the art and employ PCR amplification, where each target sequence in the sample has a corresponding pair of unique, sequence-specific primers. For example, the polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) method allows for rapid detection of mutations after the genomic sequences are amplified by PCR. The mutation is discriminated by digestion with specific restriction endonucleases and is identified by electrophoresis. See, e.g., Ota et al., 2007. Mutations may also be detected using real time PCR. See, e.g., International Application publication No. WO2012046981.


Hybrid capture methods are known in the art and are disclosed in e.g., U.S. Patent Publication No. 20130203632 and U.S. Pat. Nos. 8,389,219 and 8,288,520. These methods are based on the selective hybridization of the target genomic regions to user-designed oligonucleotides. The hybridization can be to oligonucleotides immobilized on high or low density microarrays (on-array capture), or solution-phase hybridization to oligonucleotides modified with a ligand (e.g. biotin) which can subsequently be immobilized to a solid surface, such as a bead (in-solution capture).


Molecular Inversion Probe (MIP) techniques are known in the art and are disclosed in e.g., Absalan et al., 2008. This method uses MIP molecules, which are special “padlock” probes (Nilsson et al, 1994) for genotyping. A MIP molecule is a linear oligonucleotide that contains specific regions, universal sequences, restriction sites and a Tag (index) sequence (16-22 bp). A MIP hybridizes directly around the genetic marker/SNP of interest. The MIP method may also use a number of “padlock” probe sets that hybridize to genomic DNA in parallel (Hardenbol et al., 2003). In case of a perfect match, genomic homology regions are ligated by undergoing an inversion in configuration (as suggested by the name of the technique) and creating a circular molecule. After the first restriction, all molecules are amplified with universal primers. Amplicons are restricted again to ensure short fragments for hybridization on a microarray. Generated short fragments are labeled and, through a Tag sequence, hybridized to a cTag (complementary strand for index) on an array. After the formation of Tag-cTag duplex, a signal is detected.


The following Tables 1, 2, and 3 show the SEQ ID Nos. of representative nucleic acid and amino acid sequences of wild type BRAF, N-RAS, and MEK1 from various animals in the sequence listing. These sequences may be used in methods for identifying subjects with mutant BRAF, N-RAS, and MEK1 genotypes.









TABLE 1







BRAF sequences











polypeptide or





nucleic acid

Other


SEQ ID NO.
sequence
Organism
information













1
nucleic acid
human



2
polypeptide
human


3
nucleic acid
rat (Rattus





norvegicus)



4
polypeptide
rat (Rattus





norvegicus)



5
nucleic acid
mouse, Mus





musculus



6
polypeptide
mouse, Mus





musculus



7
nucleic acid
rabbit,





Oryctolagus






cuniculus



8
polypeptide
rabbit,





Oryctolagus






cuniculus



9
nucleic acid
guinea pig, Cavia





porcellus



10
polypeptide
guinea pig, Cavia





porcellus



11
nucleic acid
dog, Canis lupus
variant x1





familiaris



12
polypeptide
dog, Canis lupus
variant x1





familiaris



13
nucleic acid
dog, Canis lupus
variant x2





familiaris



14
polypeptide
dog, Canis lupus
variant x2





familiaris



15
nucleic acid
cat, Felis catus


16
polypeptide
cat, Felis catus


17
nucleic acid
cow, Bos taurus
variant X1


18
polypeptide
cow, Bos taurus
variant X1


19
nucleic acid
cow, Bos taurus
variant X2


20
polypeptide
cow, Bos taurus
variant X2


21
nucleic acid
cow, Bos taurus
variant X3


22
polypeptide
cow, Bos taurus
variant X3


23
nucleic acid
cow, Bos taurus
variant X4


24
polypeptide
cow, Bos taurus
variant X4


25
nucleic acid
cow, Bos taurus
variant X5


26
polypeptide
cow, Bos taurus
variant X5


27
nucleic acid
cow, Bos taurus
variant X6


28
polypeptide
cow, Bos taurus
variant X6


29
nucleic acid
cow, Bos taurus
variant X7


30
polypeptide
cow, Bos taurus
variant X7


31
nucleic acid
cow, Bos taurus
variant X8


32
polypeptide
cow, Bos taurus
variant X8


33
nucleic acid
cow, Bos taurus
variant X9


34
polypeptide
cow, Bos taurus
variant X9


35
nucleic acid
cow, Bos taurus
variant X10


36
polypeptide
cow, Bos taurus
variant X10


37
nucleic acid
cow, Bos taurus
variant X11


38
polypeptide
cow, Bos taurus
variant X11


39
nucleic acid
cow, Bos taurus
variant 2


40
polypeptide
cow, Bos taurus
variant 2


41
nucleic acid
horse, Equus





caballus



42
polypeptide
horse, Equus





caballus



43
nucleic acid
chicken, Gallus





gallus



44
polypeptide
chicken, Gallus





gallus

















TABLE 2







N-RAS sequences











polypeptide or





nucleic acid

Other


SEQ ID NO.
sequence
Organism
information





45
nucleic acid
human



46
polypeptide
human


47
nucleic acid
rat (Rattus norvegicus)


48
polypeptide
rat (Rattus norvegicus)


49
nucleic acid
mouse, Mus musculus


50
polypeptide
mouse, Mus musculus


51
nucleic acid
guinea pig, Cavia porcellus


52
polypeptide
guinea pig, Cavia porcellus


53
nucleic acid
guinea pig, Cavia porcellus
variant X1


54
polypeptide
guinea pig, Cavia porcellus
variant X1


55
nucleic acid
dog, Canis lupus familiaris


56
polypeptide
dog, Canis lupus familiaris


57
nucleic acid
cat, Felis catus


58
polypeptide
cat, Felis catus


59
nucleic acid
cow, Bos taurus


60
polypeptide
cow, Bos taurus


61
nucleic acid
chicken, Gallus gallus


62
polypeptide
chicken, Gallus gallus
















TABLE 3







MEK1 sequences










polypeptide or




nucleic acid


SEQ ID NO.
sequence
Organism





63
nucleic acid
human


64
polypeptide
human


65
nucleic acid
rat (Rattus norvegicus)


66
polypeptide
rat (Rattus norvegicus)


67
nucleic acid
mouse, Mus musculus


68
polypeptide
mouse, Mus musculus


69
nucleic acid
rabbit, Oryctolagus cuniculus


70
polypeptide
rabbit, Oryctolagus cuniculus


71
nucleic acid
guinea pig, Cavia porcellus


72
polypeptide
guinea pig, Cavia porcellus


73
nucleic acid
dog, Canis lupus familiaris


74
polypeptide
dog, Canis lupus familiaris


75
nucleic acid
cat, Felis catus


76
polypeptide
cat, Felis catus


77
nucleic acid
cow, Bos taurus


78
polypeptide
cow, Bos taurus


79
nucleic acid
horse, Equus caballus


80
polypeptide
horse, Equus caballus


81
nucleic acid
chicken, Gallus gallus


82
polypeptide
chicken, Gallus gallus









In another aspect of this embodiment, the method further comprises administering at least one additional therapeutic agent, preferably an inhibitor of the PI3K/Akt pathway, as disclosed herein.


A further embodiment of the present invention is a method for treating or ameliorating the effects of cancer in a subject, which cancer is refractory or resistant to BRAF inhibitor therapy, MEK inhibitor therapy, or both. The method comprises administering to the subject an effective amount of BVD-523 or a pharmaceutically acceptable salt thereof.


Suitable and preferred subjects are as disclosed herein. In this embodiment, the methods may be used to treat the cancers disclosed above, including those cancers with the mutational backgrounds, resistance profiles, and MAPK activity identified above. Methods of identifying such mutations are also as set forth above.


In a further aspect of this embodiment, the method further comprises administering to the subject at least one additional therapeutic agent, preferably an inhibitor of the PI3K/Akt pathway, as disclosed herein.


Another embodiment of the present invention is a method for identifying a subject having cancer who would benefit from therapy with an ERK inhibitor. The method comprises:


(a) obtaining a biological sample from the subject; and


(b) screening the sample to determine whether the subject has one or more of the following markers:

    • (i) a switch between RAF isoforms,
    • (ii) upregulation of RTK or NRAS signaling,
    • (iii) reactivation of mitogen activated protein kinase (MAPK) signaling,
    • (iv) the presence of a MEK activating mutation,
    • (v) amplification of mutant BRAF,
    • (vi) STAT3 upregulation,
    • (vii) mutations in the allosteric pocket of MEK that directly block binding of inhibitors to MEK or lead to constitutive MEK activity,


      wherein the presence of one or more of the markers confirms that the subject's cancer is refractory or resistant to BRAF and/or MEK inhibitor therapy and that the subject would benefit from therapy with an ERK inhibitor, which is BVD-523 or a pharmaceutically acceptable salt thereof.


Suitable and preferred subjects are as disclosed herein. In this embodiment, the methods may be used to identify a subject having cancers disclosed above, including those cancers with the mutational backgrounds, resistance profiles, and MAPK activity identified above. Methods of identifying such mutations are also as set forth above.


In one aspect of this embodiment, the method further comprises administering BVD-523 or a pharmaceutically acceptable salt thereof to a subject having one or more of the markers. Preferably, the method additionally comprises administering to the subject having one or more of the markers at least one additional therapeutic agent, preferably an inhibitor of the PI3K/Akt pathway, as disclosed herein.


An additional embodiment of the present invention is a pharmaceutical composition for treating or ameliorating the effects of a cancer in a subject, which cancer is refractory or resistant to non-ERK MAPK pathway therapy. The composition comprises a pharmaceutically acceptable carrier or diluent and an effective amount of BVD-523 or a pharmaceutically acceptable salt thereof.


Suitable and preferred subjects and types of non-ERK MAPK pathway inhibitor therapy are as disclosed herein. In this embodiment, the pharmaceutical composition may be used to treat the cancers disclosed above, including those cancers with the mutational backgrounds, resistance profiles, and MAPK activity identified above. Methods of identifying such mutations are also as set forth above.


In one aspect of this embodiment, the pharmaceutical composition further comprises at least one additional therapeutic agent, preferably an inhibitor of the PI3K/Akt pathway, as disclosed herein.


Another embodiment of the present invention is a kit for treating or ameliorating the effects of a cancer in a subject, which cancer is refractory or resistant to non-ERK MAPK pathway therapy. This kit comprises any pharmaceutical composition according to the present invention packaged together with instructions for its use.


The kits may also include suitable storage containers, e.g., ampules, vials, tubes, etc., for each pharmaceutical composition and other reagents, e.g., buffers, balanced salt solutions, etc., for use in administering the pharmaceutical compositions to subjects. The pharmaceutical compositions and other reagents may be present in the kits in any convenient form, such as, e.g., in a solution or in a powder form. The kits may further include a packaging container, optionally having one or more partitions for housing the pharmaceutical composition and other optional reagents.


Suitable and preferred subjects and types of non-ERK MAPK pathway inhibitor therapy are as disclosed herein. In this embodiment, the kit may be used to treat the cancers disclosed above, including those cancers with the mutational backgrounds, resistance profiles, and MAPK activity identified herein. Methods of identifying such mutations are as set forth above.


In one aspect of this embodiment, the kit further comprises at least one additional therapeutic agent, preferably an inhibitor of the PI3K/Akt pathway, as disclosed herein.


Another embodiment of the present invention is a method for inhibiting phosphorylation of RSK in a cancer cell that is refractory or resistant to a non-ERK MAPK pathway inhibitor. The method comprises contacting the cancer cell with an effective amount of BVD-523 or a pharmaceutically acceptable salt thereof for a period of time sufficient for phosphorylation of RSK in the cancer cell to be inhibited. In this embodiment, “contacting” means bringing BVD-523 or a pharmaceutically acceptable salt thereof and optionally one or more additional therapeutic agents into close proximity to the cancer cells. This may be accomplished using conventional techniques of drug delivery to mammals, or in the in vitro situation by, e.g., providing BVD-523 or a pharmaceutically acceptable salt thereof and optionally other therapeutic agents to a culture media in which the cancer cells are located. In the ex vivo situation, contacting may be carried out by, e.g., providing BVD-523 or a pharmaceutically acceptable salt thereof and optionally other therapeutic agents to a cancerous tissue.


Suitable and preferred types of non-ERK MAPK pathway inhibitors are as disclosed herein. In this embodiment, effecting cancer cell death may be accomplished in cancer cells having various mutational backgrounds, resistance profiles, and MAPK activity as disclosed above. Methods of identifying such mutations are also as set forth above.


The methods of this embodiment, which may be carried out in vitro, ex vivo, or in vivo, may be used to effect cancer cell death, by e.g., killing cancer cells, in cells of the types of cancer disclosed herein.


In one aspect of this embodiment, greater than 50% of RSK phosphorylation is inhibited. In another aspect of this embodiment, greater than 75% of RSK phosphorylation is inhibited. In an additional aspect of this embodiment, greater than 90% of RSK phosphorylation is inhibited. In a further aspect of this embodiment, greater than 95% of RSK phosphorylation is inhibited. In another aspect of this embodiment, greater than 99% of RSK phosphorylation is inhibited. In an additional aspect of this embodiment, 100% of RSK phosphorylation is inhibited.


In a further aspect of this embodiment, the cancer cell is a mammalian cancer cell. Preferably, the mammalian cancer cell is obtained from a mammal selected from the group consisting of humans, primates, farm animals, and domestic animals. More preferably, the mammalian cancer cell is a human cancer cell.


In a further aspect of this embodiment, the contacting step comprises administering BVD-523 or a pharmaceutically acceptable salt to a subject from whom the cancer cell was obtained.


In the present invention, an “effective amount” or a “therapeutically effective amount” of a compound or composition disclosed herein is an amount of such compound or composition that is sufficient to effect beneficial or desired results as described herein when administered to a subject. Effective dosage forms, modes of administration, and dosage amounts may be determined empirically, and making such determinations is within the skill of the art. It is understood by those skilled in the art that the dosage amount will vary with the route of administration, the rate of excretion, the duration of the treatment, the identity of any other drugs being administered, the age, size, and species of mammal, e.g., human patient, and like factors well known in the arts of medicine and veterinary medicine. In general, a suitable dose of a compound or composition according to the invention will be that amount of the composition, which is the lowest dose effective to produce the desired effect. The effective dose of a compound or composition of the present invention may be administered as two, three, four, five, six or more sub-doses, administered separately at appropriate intervals throughout the day.


A suitable, non-limiting example of a dosage of a BVD-523 and other anti-cancer agents disclosed herein is from about 1 mg/kg to about 2400 mg/kg per day, such as from about 1 mg/kg to about 1200 mg/kg per day, 75 mg/kg per day to about 300 mg/kg per day, including from about 1 mg/kg to about 100 mg/kg per day. Other representative dosages of such agents include about 1 mg/kg, 5 mg/kg, 10 mg/kg, 15 mg/kg, 20 mg/kg, 25 mg/kg, 30 mg/kg, 35 mg/kg, 40 mg/kg, 45 mg/kg, 50 mg/kg, 60 mg/kg, 70 mg/kg, 75 mg/kg, 80 mg/kg, 90 mg/kg, 100 mg/kg, 125 mg/kg, 150 mg/kg, 175 mg/kg, 200 mg/kg, 250 mg/kg, 300 mg/kg, 400 mg/kg, 500 mg/kg, 600 mg/kg, 700 mg/kg, 800 mg/kg, 900 mg/kg, 1000 mg/kg, 1100 mg/kg, 1200 mg/kg, 1300 mg/kg, 1400 mg/kg, 1500 mg/kg, 1600 mg/kg, 1700 mg/kg, 1800 mg/kg, 1900 mg/kg, 2000 mg/kg, 2100 mg/kg, 2200 mg/kg, and 2300 mg/kg per day. The effective dose of BVD-523 and other anti-cancer agents disclosed herein, may be administered as two, three, four, five, six or more sub-doses, administered separately at appropriate intervals throughout the day.


The BVD-523, other inhibitors, and various other anti-cancer agents disclosed herein, or a pharmaceutical composition of the present invention may be administered in any desired and effective manner: for oral ingestion, or as an ointment or drop for local administration to the eyes, or for parenteral or other administration in any appropriate manner such as intraperitoneal, subcutaneous, topical, intradermal, inhalation, intrapulmonary, rectal, vaginal, sublingual, intramuscular, intravenous, intraarterial, intrathecal, or intralymphatic. Further, BVD-523, other inhibitors, and various other anti-cancer agents disclosed herein, or a pharmaceutical composition of the present invention may be administered in conjunction with other treatments. BVD-523, other inhibitors, and various other anti-cancer agents disclosed herein, or a pharmaceutical composition of the present invention may be encapsulated or otherwise protected against gastric or other secretions, if desired.


The pharmaceutical compositions of the invention comprise one or more active ingredients in admixture with one or more pharmaceutically-acceptable diluents or carriers and, optionally, one or more other compounds, drugs, ingredients and/or materials. Regardless of the route of administration selected, the agents/compounds of the present invention are formulated into pharmaceutically-acceptable dosage forms by conventional methods known to those of skill in the art. See, e.g., Remington, The Science and Practice of Pharmacy (21st Edition, Lippincott Williams and Wilkins, Philadelphia, Pa.).


Pharmaceutically acceptable diluents or carriers are well known in the art (see, e.g., Remington, The Science and Practice of Pharmacy (21st Edition, Lippincott Williams and Wilkins, Philadelphia, Pa.) and The National Formulary (American Pharmaceutical Association, Washington, D.C.)) and include sugars (e.g., lactose, sucrose, mannitol, and sorbitol), starches, cellulose preparations, calcium phosphates (e.g., dicalcium phosphate, tricalcium phosphate and calcium hydrogen phosphate), sodium citrate, water, aqueous solutions (e.g., saline, sodium chloride injection, Ringer's injection, dextrose injection, dextrose and sodium chloride injection, lactated Ringer's injection), alcohols (e.g., ethyl alcohol, propyl alcohol, and benzyl alcohol), polyols (e.g., glycerol, propylene glycol, and polyethylene glycol), organic esters (e.g., ethyl oleate and tryglycerides), biodegradable polymers (e.g., polylactide-polyglycolide, poly(orthoesters), and poly(anhydrides)), elastomeric matrices, liposomes, microspheres, oils (e.g., corn, germ, olive, castor, sesame, cottonseed, and groundnut), cocoa butter, waxes (e.g., suppository waxes), paraffins, silicones, talc, silicylate, etc. Each pharmaceutically acceptable diluent or carrier used in a pharmaceutical composition of the invention must be “acceptable” in the sense of being compatible with the other ingredients of the formulation and not injurious to the subject. Diluents or carriers suitable for a selected dosage form and intended route of administration are well known in the art, and acceptable diluents or carriers for a chosen dosage form and method of administration can be determined using ordinary skill in the art.


The pharmaceutical compositions of the invention may, optionally, contain additional ingredients and/or materials commonly used in pharmaceutical compositions. These ingredients and materials are well known in the art and include (1) fillers or extenders, such as starches, lactose, sucrose, glucose, mannitol, and silicic acid; (2) binders, such as carboxymethylcellulose, alginates, gelatin, polyvinyl pyrrolidone, hydroxypropylmethyl cellulose, sucrose and acacia; (3) humectants, such as glycerol; (4) disintegrating agents, such as agar-agar, calcium carbonate, potato or tapioca starch, alginic acid, certain silicates, sodium starch glycolate, cross-linked sodium carboxymethyl cellulose and sodium carbonate; (5) solution retarding agents, such as paraffin; (6) absorption accelerators, such as quaternary ammonium compounds; (7) wetting agents, such as cetyl alcohol and glycerol monostearate; (8) absorbents, such as kaolin and bentonite clay; (9) lubricants, such as talc, calcium stearate, magnesium stearate, solid polyethylene glycols, and sodium lauryl sulfate; (10) suspending agents, such as ethoxylated isostearyl alcohols, polyoxyethylene sorbitol and sorbitan esters, microcrystalline cellulose, aluminum metahydroxide, bentonite, agar-agar and tragacanth; (11) buffering agents; (12) excipients, such as lactose, milk sugars, polyethylene glycols, animal and vegetable fats, oils, waxes, paraffins, cocoa butter, starches, tragacanth, cellulose derivatives, polyethylene glycol, silicones, bentonites, silicic acid, talc, salicylate, zinc oxide, aluminum hydroxide, calcium silicates, and polyamide powder; (13) inert diluents, such as water or other solvents; (14) preservatives; (15) surface-active agents; (16) dispersing agents; (17) control-release or absorption-delaying agents, such as hydroxypropylmethyl cellulose, other polymer matrices, biodegradable polymers, liposomes, microspheres, aluminum monostearate, gelatin, and waxes; (18) opacifying agents; (19) adjuvants; (20) wetting agents; (21) emulsifying and suspending agents; (22), solubilizing agents and emulsifiers, such as ethyl alcohol, isopropyl alcohol, ethyl carbonate, ethyl acetate, benzyl alcohol, benzyl benzoate, propylene glycol, 1,3-butylene glycol, oils (in particular, cottonseed, groundnut, corn, germ, olive, castor and sesame oils), glycerol, tetrahydrofuryl alcohol, polyethylene glycols and fatty acid esters of sorbitan; (23) propellants, such as chlorofluorohydrocarbons and volatile unsubstituted hydrocarbons, such as butane and propane; (24) antioxidants; (25) agents which render the formulation isotonic with the blood of the intended recipient, such as sugars and sodium chloride; (26) thickening agents; (27) coating materials, such as lecithin; and (28) sweetening, flavoring, coloring, perfuming and preservative agents. Each such ingredient or material must be “acceptable” in the sense of being compatible with the other ingredients of the formulation and not injurious to the subject. Ingredients and materials suitable for a selected dosage form and intended route of administration are well known in the art, and acceptable ingredients and materials for a chosen dosage form and method of administration may be determined using ordinary skill in the art.


The pharmaceutical compositions of the present invention suitable for oral administration may be in the form of capsules, cachets, pills, tablets, powders, granules, a solution or a suspension in an aqueous or non-aqueous liquid, an oil-in-water or water-in-oil liquid emulsion, an elixir or syrup, a pastille, a bolus, an electuary or a paste. These formulations may be prepared by methods known in the art, e.g., by means of conventional pan-coating, mixing, granulation or lyophilization processes.


Solid dosage forms for oral administration (capsules, tablets, pills, dragees, powders, granules and the like) may be prepared, e.g., by mixing the active ingredient(s) with one or more pharmaceutically-acceptable diluents or carriers and, optionally, one or more fillers, extenders, binders, humectants, disintegrating agents, solution retarding agents, absorption accelerators, wetting agents, absorbents, lubricants, and/or coloring agents. Solid compositions of a similar type may be employed as fillers in soft and hard-filled gelatin capsules using a suitable excipient. A tablet may be made by compression or molding, optionally with one or more accessory ingredients. Compressed tablets may be prepared using a suitable binder, lubricant, inert diluent, preservative, disintegrant, surface-active or dispersing agent. Molded tablets may be made by molding in a suitable machine. The tablets, and other solid dosage forms, such as dragees, capsules, pills and granules, may optionally be scored or prepared with coatings and shells, such as enteric coatings and other coatings well known in the pharmaceutical-formulating art. They may also be formulated so as to provide slow or controlled release of the active ingredient therein. They may be sterilized by, for example, filtration through a bacteria-retaining filter. These compositions may also optionally contain opacifying agents and may be of a composition such that they release the active ingredient only, or preferentially, in a certain portion of the gastrointestinal tract, optionally, in a delayed manner. The active ingredient can also be in microencapsulated form.


Liquid dosage forms for oral administration include pharmaceutically-acceptable emulsions, microemulsions, solutions, suspensions, syrups and elixirs. The liquid dosage forms may contain suitable inert diluents commonly used in the art. Besides inert diluents, the oral compositions may also include adjuvants, such as wetting agents, emulsifying and suspending agents, sweetening, flavoring, coloring, perfuming and preservative agents. Suspensions may contain suspending agents.


The pharmaceutical compositions of the present invention for rectal or vaginal administration may be presented as a suppository, which may be prepared by mixing one or more active ingredient(s) with one or more suitable nonirritating diluents or carriers which are solid at room temperature, but liquid at body temperature and, therefore, will melt in the rectum or vaginal cavity and release the active compound. The pharmaceutical compositions of the present invention which are suitable for vaginal administration also include pessaries, tampons, creams, gels, pastes, foams or spray formulations containing such pharmaceutically-acceptable diluents or carriers as are known in the art to be appropriate.


Dosage forms for the topical or transdermal administration include powders, sprays, ointments, pastes, creams, lotions, gels, solutions, patches, drops and inhalants. The active agent(s)/compound(s) may be mixed under sterile conditions with a suitable pharmaceutically-acceptable diluent or carrier. The ointments, pastes, creams and gels may contain excipients. Powders and sprays may contain excipients and propellants.


The pharmaceutical compositions of the present invention suitable for parenteral administrations may comprise one or more agent(s)/compound(s) in combination with one or more pharmaceutically-acceptable sterile isotonic aqueous or non-aqueous solutions, dispersions, suspensions or emulsions, or sterile powders which may be reconstituted into sterile injectable solutions or dispersions just prior to use, which may contain suitable antioxidants, buffers, solutes which render the formulation isotonic with the blood of the intended recipient, or suspending or thickening agents. Proper fluidity can be maintained, for example, by the use of coating materials, by the maintenance of the required particle size in the case of dispersions, and by the use of surfactants. These pharmaceutical compositions may also contain suitable adjuvants, such as wetting agents, emulsifying agents and dispersing agents. It may also be desirable to include isotonic agents. In addition, prolonged absorption of the injectable pharmaceutical form may be brought about by the inclusion of agents which delay absorption.


In some cases, in order to prolong the effect of a drug (e.g., pharmaceutical formulation), it is desirable to slow its absorption from subcutaneous or intramuscular injection. This may be accomplished by the use of a liquid suspension of crystalline or amorphous material having poor water solubility.


The rate of absorption of the active agent/drug then depends upon its rate of dissolution which, in turn, may depend upon crystal size and crystalline form. Alternatively, delayed absorption of a parenterally-administered agent/drug may be accomplished by dissolving or suspending the active agent/drug in an oil vehicle. Injectable depot forms may be made by forming microencapsule matrices of the active ingredient in biodegradable polymers. Depending on the ratio of the active ingredient to polymer, and the nature of the particular polymer employed, the rate of active ingredient release can be controlled. Depot injectable formulations are also prepared by entrapping the drug in liposomes or microemulsions which are compatible with body tissue. The injectable materials can be sterilized for example, by filtration through a bacterial-retaining filter.


The formulations may be presented in unit-dose or multi-dose sealed containers, for example, ampules and vials, and may be stored in a lyophilized condition requiring only the addition of the sterile liquid diluent or carrier, for example water for injection, immediately prior to use. Extemporaneous injection solutions and suspensions may be prepared from sterile powders, granules and tablets of the type described above.


The present invention provides treatment of cancer which is refractory or resistant to non-ERK MAPK pathway inhibitor therapy and discloses combinations shown to enhance the effects of ERK inhibitors. Herein, applicants have also shown that the combination of different ERK inhibitors is likewise synergistic. Therefore, it is contemplated that the effects of the combinations described herein can be further improved by the use of one or more additional ERK inhibitors. Accordingly, some embodiments of the present invention include one or more additional ERK inhibitors.


The present invention also provides a method of treating a subject having an unresectable or metastatic BRAF600 mutation-positive melanoma comprising administering to the subject 600 mg BID of BVD-523 or a pharmaceutically acceptable salt thereof.


In some embodiments of the invention, the mutation is a BRAFV600E mutation.


The present invention also provides a composition for treating a subject having an unresectable or metastatic BRAF600 mutation-positive melanoma, the composition comprising 600 mg of BVD-523 or a pharmaceutically acceptable salt thereof and optionally a pharmaceutically acceptable carrier, adjuvant, or vehicle.


The following examples are provided to further illustrate the methods of the present invention. These examples are illustrative only and are not intended to limit the scope of the invention in any way.


EXAMPLES
Example 1
Materials and Methods

Cancer cell lines were maintained in cell culture under standard media and serum conditions. For dose escalation studies, A375 cells were split, grown to about 40-60% confluence, and then treated with the initial dose of the specified drug. Table 4 shows a summary of drug treatments that were escalated.









TABLE 4







Summary of Treatments Being Escalated








Treatment
Inhibitor





1
Trametinib (MEKi)


2
Dabrafenib (BRAFi)


3
BVD-523 (ERKi)


4
Dabrafenib (BRAFi) + Trametinib (MEKi)


5
Dabrafenib (BRAFi) + BVD-523 (ERKi)


6
Trametinib (MEKi) + BVD-523 (ERKi)









Single agent dose escalations were performed based on Little et al., 2011 and are outlined in FIG. 20. Cells were then allowed to grow until 70-90% confluence and split. Split ratios were kept as “normal” as possible and reasonably consistent between treatments (e.g. a minimum of 50% of the normal split ratio of the parentals). Medium was refreshed every 3-4 days. When cells again reached about 40-60% confluence, the dose was escalated. In the event that the 40-60% window was missed, the cells were split again and dosed once they reached 40-60% confluence. Again, medium was refreshed every 3-4 days. The process was repeated as required (FIG. 20).


For single agent treatments, starting concentrations and dose increases were conducted by starting with the approximate IC50, escalating in small increments or, gently, for the initial 4-5 doses, doubling the dose, increasing by the same increment for the next 4 doses, then moving to 1.5-fold increases in concentration for subsequent doses.


For combination treatments, starting concentrations and dose increases were conducted by starting with half of the approximate IC50 of each compound (combination assay suggests this will result in about 40-70% inhibition range), escalating as per single agents (i.e. doing an initial doubling and then increasing by the same increment for the next 4 doses, then moving to 1.5-fold increases in concentration). Table 5 shows the projected dose increases using these schemes.









TABLE 5







Projected Dose Increases-Month 1

















Dab/Tram
Dab/523
Tram/523

















Tram
Dab
BVD-523
Dab
Tram
Dab
523
Tram
523


Dose
(nM)
(nM)
(μM)
(nM)
(nM)
(nM)
(μM)
(nM)
(μM)



















1
1
5
0.16
2.5
0.5
2.5
0.08
0.5
0.08


2
2
10
0.32
5
1
5
0.16
1
0.16


3
3
15
0.48
7.5
1.5
7.5
0.24
1.5
0.24


4
4
20
0.64
10
2
10
0.32
2
0.32


5
5
25
0.80
12.5
2.5
12.5
0.40
2.5
0.40


6
8
38
1.2
19
4
19
0.6
4
0.6


7
11
56
1.8
28
6
28
0.9
6
0.9


8
17
84
2.7
42
8
42
1.4
8
1.4


9
25
127
4.1
63
13
63
2.0
13
2.0


10
38
190
6.1
95
19
95
3.0
19
3.0


11
57
285
9.1
142
28
142
4.6
28
4.6


12
85
427
13.7
214
43
214
6.8
43
6.8


13
128
641
20.5
320
64
320
10.3
64
10.3


14
192
961
30.8
481
96
481
15.4
96
15.4


15
288
1442
46.1
721
144
721
23.1
144
23.1


16
432
2162
69.2
1081
216
1081
34.6
216
34.6


17
649
3244
103.8
1622
324
1622
51.9
324
51.9


18
973
4865
155.7
2433
487
2433
77.8
487
77.8


19
1460
7298
233.5
3649
730
3649
116.8
730
116.8


20
2189
10947
350.3
5474
1095
5474
175.2
1095
175.2









Clonal resistant cell populations were derived from resistant cell pools by limiting dilution.


Proliferation assays were used to track changes in sensitivity to the escalated agent(s) at appropriate time intervals (e.g. each month, although the timing is dependent on adequate cell numbers being available). For proliferation assays, cells were seeded in 96-well plates at 3000 cells per well in drug-free DMEM medium containing 10% FBS and allowed to adhere overnight prior to addition of compound or vehicle control. Compounds were prepared from DMSO stocks to give a final concentration range as shown in FIG. 2A-FIG. 2H. The final DMSO concentration was constant at 0.1%. Test compounds were incubated with the cells for 96 hours at 37° C. and 5% CO2 in a humidified atmosphere. Alamar Blue 10% (v/v) was then added and incubated for 4 hours and fluorescent product was detected using a BMG FLUOstar plate reader. The average media only background value was deducted and the data analyzed using a 4-parameter logistic equation in GraphPad Prism. Paclitaxel was used as a positive control.


Proliferation assays for month 1 were initiated at day 28 using cells growing in the concentrations of each agent indicated in Table 6.









TABLE 6







Initial Concentrations of Drugs Used in Proliferation Assays - Month 1












Line
Dab
Tram
BVD-523







Parental






Tram

2 nM




Dab
 15 nM





BVD-523


0.48 μM



Tram + Dab
  5 nM
1 nM




Dab + BVD-523
7.5 nM

0.24 μM



Tram + BVD-523

1 nM
0.16 μM










Proliferation assays for month 2 were initiated at day 56 using cells growing in the concentrations of each agent indicated in Table 7.









TABLE 7







Initial Concentrations of Drugs Used in Proliferation Assays - Month 2












Line
Dab
Tram
BVD-523







Parental






Tram

8 nM




Dab
 127 nM





BVD-523


0.8 μM



Tram + Dab
  10 nM
2 nM




Dab + BVD-523
12.5 nM

0.4 μM



Tram + BVD-523

2 nM
0.32 μM 










At the end of the 3 month escalation period, cultures were maintained at the top concentration for 2 weeks prior to the final round of proliferation assays and potential single cell cloning. As the proliferation assays/single cell cloning required actively proliferating cells, for treatments where cells were proliferating very slowly at the top concentration or that were only recently escalated, a backup culture was also maintained at a lower concentration (Table 8). For the BVD-523 treatment, where cells appeared to have almost completely stopped growing and looked particularly fragile at the top concentration (1.8 μM), cultures were maintained at a lower concentration for the 2 week period.









TABLE 8







Details of Treatments Being Cultured at a Fixed Concentration for 2


Weeks










Treatment
Inhibitor
Culture 1
Backup Culture















1
Tram
160
nM
80
nM











2
Dab
3.2
μM













3
BVD-523
1.2
μM
0.8
μM


4
Dab + Tram
D: 160
nM
D: 80
nM




T: 30
nM
T: 16
nM


5
Dab + BVD-523
D: 42
nM
D: 28
nM




523: 1.4
μM
523: 0.9
μM


6
Tram + BVD-523
T: 4
nM
T: 2.5
nM




523: 0.6
μM
523: 0.4
μM









Proliferation assays for month 3 used cells growing in the concentrations of each agent indicated in Table 9.









TABLE 9







Initial Concentrations of Drugs Used in Proliferation Assays - Month 3












Line
Dab
Tram
BVD-523







Parental






Tram

160 nM




Dab
3.2 μM





BVD-523


1.2 μM



Tram + Dab
80 nM
 16 nM




Dab + BVD-523
28 nM

0.9 μM



Tram + BVD-523

 2.5 nM
0.4 μM










For combination studies, A375 cells (ATCC) were seeded into triplicate 96-well plates at a cell density of 3000 cells/well in DMEM plus 10% FBS and allowed to adhere overnight prior to addition of test compound or vehicle control. Combinations were tested using a 10×8 dose matrix with a final DMSO concentration of 0.2%. A 96 hour assay incubation period followed, with subsequent addition of Alamar Blue 10% (v/v) and 4 hours incubation prior to reading on a fluorescent plate reader. After reading Alamar Blue, the medium/Alamar Blue mix was flicked off and 100 μl of CellTiter-Glo/PBS (1:1) added and the plates processed as per the manufacturers instructions (Promega). Media only background values were subtracted before the data was analysed. The Bliss additivity model was then applied.


In brief, predicted fractional inhibition values for combined inhibition were calculated using the equation Cbliss=A+B−(A×B) where A and B are the fractional inhibitions obtained by drug A alone or drug B alone at specific concentrations. Cbliss is the fractional inhibition that would be expected if the combination of the two drugs were exactly additive. Cbliss values are subtracted from the experimentally observed fractional inhibition values to give an ‘excess over Bliss’ value. Excess over Bliss values greater than 0 indicate synergy, whereas values less than 0 indicate antagonism. Excess over Bliss values are plotted as heat maps ±SD.


The single and combination data are also presented as dose-response curves generated in GraphPad Prism (plotted using % viability relative to DMSO only treated controls).


For focused combination studies, the Alamar Blue viability assays were performed as described above for combination studies. Additionally, Caspase-Glo 3/7 assays were performed. In brief, HCT116 cells were seeded in triplicate in white 96-well plates at a cell density of 5000 cells/well in McCoy's 5A plus 10% FBS. A375 cells were seeded at a density of 5000 cells/well in DMEM plus 10% FBS. Cells were allowed to adhere overnight prior to addition of test compound or vehicle control. The final concentration of DMSO was 0.2%, and 800 nM staurosporine was included as a positive control. 24 and 48 hour assay incubation periods were used. Then, Caspase-Glo® 3/7 50% (v/v) was added, plates were mixed for 5 minutes on an orbital shaker and incubated for 1 hour at room temperature prior to reading on a luminescent plate reader. Media only background values were subtracted before the data was analysed.


For Differential Scanning Fluorimetry, SYPRO orange (5,000× solution, Invitrogen) was diluted (1:1,000) in buffer solution (10 mM HEPES, 150 mM NaCl, pH 7.5). HisX6 tagged proteins included inactive ERK2, active ERK2 (ppERK2), or p38a at a final concentration of 1 μM. The protein/dye solution and compounds in 100% DMSO were added to wells (2% v/v final DMSO concentration) to achieve the desired final concentrations, mixed, and placed into an RT-PCR instrument. Next, a melting curve was run from 25-95° C. at a rate of 1° C. per minute and the melting temperature (Tm) was determined for each protein in the absence or presence of compounds. The change in Tm (ΔTm) in the presence of various drug concentrations is presented.


For Ki determination of ERK1, activated ERK1 (10 nM) was incubated with various concentrations of the compounds in 2.5% (v/v) DMSO for 10 minutes at 30° C. in 0.1 M HEPES buffer (pH 7.5), 10 mM MgCl2, 2.5 mM phosphoenolpyruvate, 200 μM nicotinamide adenine dinucleotide (NADH), 150 μg/mL pyruvate kinase, 50 μg/mL lactate dehydrogenase, and 200 μM Erktide peptide. The reaction was initiated by the addition of 65 μM of ATP. Decreased absorbance rate (340 nm) was monitored and the IC50 was determined as a function of inhibitor concentration.


For Ki determination of ERK2, the inhibitory activity of BVD-523 against ERK2 was determined using a radiometric assay, with final concentration of the components being 100 mM HEPES (pH 7.5), 10 mM MgCl2, 1 mM dithiothreitol (DTT), 0.12 nM ERK2, 10 μM myelin basic protein (MBP), and 50 μM 33P-γ-ATP. All reaction components, with the exception of ATP and MBP, were premixed and aliquoted (33 μL) into a 96-well plate. A stock solution of compound in DMSO was used to make up to 500-fold dilutions; a 1.5-μL aliquot of DMSO or inhibitor in DMSO was added to each well. The reaction was initiated by adding the substrates 33P-γ-ATP and MBP (33 μL). After 20 minutes the reaction was quenched with 20% (w/v) tricholoracetic acid (TCA) (55 μL) containing 4 mM ATP, transferred to the GF/B filter plates, and washed 3 times with 5% (w/v) TCA). Following the addition of Ultimate Gold™ scintillant (50 μL), the samples were counted in a Packard TopCount. From the activity versus concentration titration curve, the Ki value was determined by fitting the data to an equation for competitive tight binding inhibition kinetics using Prism software, version 3.0.


For IC50 determination of ERK2, activity was assayed by a standard coupled-enzyme assay. The final concentrations were as follows: 0.1 M HEPES (pH 7.5), 10 mM MgCl2, 1 mM DTT, 2.5 mM phosphoenolpyruvate, 200 μM NADH, 50 μg/mL pyruvate kinase, 10 μg/mL lactate dehydrogenase, 65 μM ATP, and 800 μM peptide (ATGPLSPGPFGRR). All of the reaction components except ATP were premixed with ERK and aliquoted into assay-plate wells. BVD-523 in DMSO was introduced into each well, keeping the concentration of DMSO per well constant. BVD-523 concentrations spanned a 500-fold range for each titration. The assay-plate was incubated at 30° C. for 10 minutes in the plate reader compartment of the spectrophotometer (molecular devices) before initiating the reaction by adding ATP. The absorbance change at 340 nm was monitored as a function of time; the initial slope corresponds to the rate of the reaction. The rate versus concentration of the BVD-523 titration curve was fitted either to an equation for competitive tight-binding inhibition kinetics to determine a value for Ki or to a 3-parameter fit to determine the IC50 using Prism software, version 3.0.


For apoptosis assays, cells were plated at 2×104 cells per well in a 96-well plate and allowed to attach overnight or grow to 50% confluency. Cells were treated with a serial dilution of BVD-523 in media (final volume 200 μL, concentration ranges 4-0.25 μM) and incubated for 48 hours in a 37° C. CO2 incubator. Cells were washed with 100 μL of PBS, and 60 μL of radioimmunoprecipitation assay buffer was added (50 mM Tris-HCl, pH 8.0, 150 mM NaCl, 1.0% [w/v] NP-40, 0.5% [w/v] sodium deoxycholate, 1% [w/v] SDS), then incubated for 10 minutes at 4° C. to lyse the cells. A 30-μL lysate aliquot was added to 100 μL of caspase assay buffer (120 mM HEPES, 12 mM EDTA, 20 mM dithiothreitol, 12.5 μg/mL AC-DEVD-AMC caspase substrate) and incubated at RT from 4 hours to overnight. The plate was read in a fluorimeter (excitation wavelength 360 nm, emission wavelength 460 mm). The remaining 30 μL of lysate was analyzed for total protein content using the BioRad Protein Assay Kit (sample-to-working reagent ratio of 1:8). Final normalized caspase activity was derived as fluorescence units per μg protein and converted to a fold increase in caspase activity when compared with DMSO controls.


For measurement of antitumor activity in A375 xenografts, xenografts were initiated with A375 cells maintained by serial subcutaneous transplantation in female athymic nude mice. Each test mouse received an A375 tumor fragment (1 mm3) implanted subcutaneously in the right flank. Once tumors reached target size (80-120 mm3), animals were randomized into treatment and control groups, and drug treatment was initiated.


To evaluate BVD-523 monotherapy, BVD-523 in 1% (w/v) carboxymethylcellulose (CMC) was administered orally, per os (p.o.), BID at doses of 5, 25, 50, 100, or 150 mg/kg. Oral temozolomide was administered as a positive reference compound at 75 or 175 mg/kg once daily (QD) for a total of five treatments (QDx5).


The efficacy of BVD-523 in combination with dabrafenib was evaluated in mice randomized into 9 groups of 15 and 1 group of 10 (Group 10). Dabrafenib was administered p.o. at 50 or 100 mg/kg QD and BVD-523 was administered p.o. at 50 or 100 mg/kg BID, alone and in combination, until study end; vehicle-treated and temozolomide-treated (150 mg/kg QD×5) control groups were also included. Combination dosing was stopped on Day 20 to monitor for tumor regrowth. Animals were monitored individually and euthanized when each tumor reached an endpoint volume of 2000 mm3, or the final day (Day 45), whichever came first, and median time to endpoint (TTE) calculated. The combination was also evaluated in an upstaged A375 model where larger tumors in the range 228-1008 mm3 were evaluated. Here, mice were randomized into 1 group (Group 1) of 14 and 4 groups (Groups 2-5) of 20. Dosing was initiated on Day 1 with dabrafenib plus BVD-523 (25 mg/kg dabrafenib+50 mg/kg BVD-523 or 50 mg/kg dabrafenib+100 mg/kg BVD-523), with each agent given p.o. BID until study end. The study included 50-mg/kg dabrafenib and 100-mg/kg BVD-523 monotherapy groups as well as a vehicle-treated control group. Tumors were measured twice weekly. Combination dosing was stopped on Day 42 to monitor for tumor regrowth through study end (Day 60). Treatment outcome was determined from % TGD, defined as the percent increase in median TTE for treated versus control mice, with differences between groups analyzed via log rank survival analysis. For TGI analysis, % TGI values were calculated and reported for each treatment (T) group versus the control (C) using the initial (i) and final (f) tumor measurements based on the following formula: % TGI=1−Tf−Ti/Cf−C. Mice were also monitored for CR and PR responses. Animals with a CR at the end of the study were additionally classified as TFS.


For measurement of BVD-523 activity in Colo205 xenografts, human Colo205 cells were cultured in RPMI 1640 supplemented with 10% (v/v) fetal bovine serum (FBS), 100 units/mL penicillin, 100 μg/mL streptomycin (Invitrogen), and 2 mM L-glutamine. Cells were cultured for fewer than four passages prior to implantation. Female athymic nude mice (19-23 g) were injected subcutaneously with 2×106 Colo205 cells into the right dorsal axillary region on Day 0.


Mice with an approximate tumor volume of 200 mm3 were randomized into 6 experimental groups. Vehicle control, 1% CMC (w/v), was prepared weekly. BVD-523 was suspended in 1% (w/v) CMC at the desired concentration and homogenized on ice at 6,500 rpm for 50 minutes. BVD-523 suspensions were prepared weekly and administered p.o. BID at total daily doses of 50, 100, 150, and 200 mg/kg (n=12/group) on an 8- or 16-hour dosing schedule for 13 days. The vehicle control (n=12) was administered using the same dosing regimen. CPT-11 was administered as a positive reference compound (n=12). Each 1 mL of CPT-11 injection contained 20 mg irinotecan, 45 mg sorbitol, and 0.9 mg lactic acid. CPT-11 was administered at 100 mg/kg/day intraperitoneally every 4 days for 2 consecutive doses.


For measurement of ERK1/2 Isotope-Tagged Internal Standard (ITIS) Mass Spectrometry in Colo205 Xenografts, frozen tumors were lysed in 10 volumes of ice cold lysis buffer (10 mM TRIS-HCl, pH 8.0, 10 mM MgCl2, 1% (v/v) Triton X-100, Complete™ Protease Inhibitor Cocktail [Roche, cat. No. 1836170], Phosphatase Inhibitor Cocktail I [Sigma, cat. No. P-2850], Phosphatase Inhibitor Cocktail II [Sigma cat. No. 5726], and benzonase [Novagen cat. No. 70664]). Lysates were clarified by centrifugation (100,000×g for 60 minutes at 4° C.) and the supernatants adjusted to 2 mg/mL with lysis buffer. ERK1 was immunoprecipitated using agarose-coupled and pan-anti-ERK1 (Santa Cruz Biotechnology cat. No. sc-93ac) antibodies. Immunoprecipitated proteins were resolved by SDS-PAGE and stained with SYPRO Ruby (Invitrogen), and the ERK bands excised via razor. Gel slices were washed in 300 μL of 20 mM NH4HCO3, diced into small pieces, and placed in Page Eraser Tip (The Nest Group cat no. SEM0007). Gel fragments were reduced and alkylated prior to trypsin digestion. Tryptic fragments were isolated in 75 μL of 50% (v/v) Acetonitrile, 0.2% (v/v) trifluoroacetic acid and the resulting sample concentrated to 0-10 μL in a SpeedVac.


For ITIS analysis, digested samples were spiked with heavy-atom labeled peptide standards and fractional phosphorylation was quantified by coupled liquid chromatography-tandem mass spectrometry (MS). Nanocapillary chromatography was performed using a Rheos 2000 binary pump from Flux Instruments delivering nanoscale flow after 1:750 splitting, an LC Packings Inertsil nano-precolumn (C18, 5 mm, 100 Å, 30 mm ID×1 mm), and a New Objective PicoFrit AQUASIL resolving column (C18, 5 mm, 75/15 mm ID×10 cm), which also served as an electrospray ionization (ESI) emitter. An Applied Biosystem API 3000 mass spectrometer coupled with a nano-ESI source was used for MS analysis. An in-house-made gas nozzle connected to a nebulizing gas source was used to help steady nano-flow spray. Data were acquired in a multiple reaction monitoring (MRM) mode: nebulizing gas at 3; curtain gas at 7; collision gas at 5; ion spray voltage at 2150 volts, exit potential at 10 volts; Q1/Q3 resolution Low/Unit; and dwell time of 65 msec for all MRM channels. All raw MS data were processed using a combination of the Analyst software suite from Applied Biosystem and custom tools.


For assessment of drug sensitivity in cell-line models of acquired resistance, drug sensitivity of dose-escalated A375 cells and isogenic RKO cells was assessed in 96-hour proliferation assays. RKO isogenic cells (McCoy's 5A containing 10% [v/v] FBS) or dose-escalated A375 cells (DMEM containing 10% FBS were seeded into 96-well plates and allowed to adhere overnight prior to addition of compound or vehicle control. Note that the dose-escalated A375 cells were seeded in the absence of inhibitor. Compounds were prepared from 0.1% (v/v) DMSO stocks to give a final concentration as indicated. Test compounds were incubated with the cells for 96 hours at 37° C. in a 5% CO2 humidified atmosphere. For the RKO cells, CellTiter-Glo® reagent (Promega) was added according to manufacturer's instructions and luminescence detected using a BMG FLUOstar plate reader. For the A375 assays Alamar blue (ThermoFisher) 10% (v/v) was added and incubated for 4 h, and fluorescent product was then detected using a BMG FLUOstar. The average media only background value was deducted and the data analyzed using a 4-parameter logistic equation in GraphPad Prism.


IC50 Determination of ERK1 was measured in a final reaction volume of 25 μL. ERK1 (human) (5-10 mU) was incubated with 25 mM Tris (pH 7.5), 0.02 mM ethyleneglycoltetracetic acid, 250 μM peptide, 10 mM Mg acetate, and γ-33P-ATP (specific activity approximately 500 cpm/pmol, concentration as required). Adding Mg ATP initiated the reaction. After incubation for 40 minutes at room temperature (RT), the reaction was stopped by adding 5 μL of a 3% (w/v) phosphoric acid solution. Then, 10 μL of the reaction was spotted onto a P30 filtermat, and washed 3 times for 5 minutes in 75 mM of phosphoric acid then once in methanol before drying and scintillation counting.


RKO MEK1 Q56P Isogenic cells were produced by Horizon Discovery (Cambridge, UK; #HD 106-019) using a recombinant AAV-mediated gene targeting strategy. Briefly, rAAV virus was generated following transfection of the appropriate targeting vector and helper vectors in HEK293T cells, purified using an AAV purification kit (Virapur, San Diego, USA) and titrated using qPCR. Parental homozygous RKO cells (homozygous wild type for MEK1) were then infected with rAAV virus and clones that had integrated the selection cassette were identified by G418 selection and expanded. Correctly targeted clones that were heterozygous for knock-in of the MEK1 Q56P point mutation into a single allele were identified by PCR and sequencing.


Isogenic SW48 cell lines heterozygous for knock-in of mutant KRAS (De Roock et al 2010, JAMA, 304, 1812-1820) were obtained from Horizon Discovery (Catalogue numbers; HD 103-002, HD 103-006 HD 103-007, HD 103-009, HD 103-010, HD 103-011, HD 103-013). For proliferation assay, cells were seeded into 96-well plates in McCoy's 5A medium supplemented with 10% FBS and allowed to adhere overnight prior to addition of compound or vehicle control. Test compounds were incubated with the cells for 96 hours at 37° C. in a 5% CO2 atmosphere. Viability was then assessed using Alamar blue.


The proprietary KinaseProfiler assay was conducted at Upstate Discovery and employed radiometric detection similar to that employed by Davies et al, was used to profile the selectivity of BVD-523 against a panel of 70 kinases.


A drug sensitivity analysis was carried out as part of The Genomics of Drug Sensitivity in Cancer Project using high-throughput screening, as previously described (Yang et al. 2013).


For Western blot analysis, A375 cells were seeded onto 10 cm dishes in Dulbecco's Modified Eagle's Medium plus 10% (v/v) FBS. Cells were allowed to adhere overnight prior to the addition of test compound or vehicle. For experiments with RKO cells, these cells were seeded in 6-well plates or 10 cm dishes with McCoy's 5A+10% (v/v) FBS. Cells were then treated at the desired concentration and duration. Cells were harvested by trypsinization, pelleted, and snap frozen. Lysates were prepared with RIPA buffer supplemented with protease and phosphatase inhibitor cocktails (Roche), clarified by centrifugation at 11,000 rpm for 10 minutes, and quantitated by bicinchoninic acid assay. Samples were resolved by SDS-PAGE, blotted onto polyvinylidene difluoride membranes, and probed using antibodies (i.e., pRB [Ser780], cat. no. 9307; CCND1, cat. no. ab6152; BCL-xL, cat. no. 2762; PARP, cat. no. 9542; DUSP6, cat. no. 3058S) directed to the indicated targets.


For Reverse Phase Protein Analysis (RPPA), A375, MIAPaCa-2, HCT116, Colo205, HT-29, and AN3Ca cells (ATCC) were plated at 80% confluence, allowed to recover overnight (MIAPaCa-2 cells were plated at 30% confluence and allowed to recover for 3 days), then treated with 10 μM of each compound (i.e., BVD-523, SCH722984, GDC-0994, or Vx-11e) for 6 hours at 37° C. Control wells were treated with DMSO at 0.1% (v/v) for 6 hours prior to cell lysate generation. Samples were then analyzed using reverse-phase protein microarray technology (Theranostics Health).


For analysis of pERK IHC in Colo205 xenografts, xenograft tumors were processed overnight in 70% through 100% graded ethanols, cleared in two changes of xylene, infiltrated with paraffin, and embedded into paraffin blocks. Then, 5-μm sections were cut and placed onto positively charged glass slides and baked for at least 30 minutes, but not longer than 1 hour, at 60° C. A single section from each animal and dose group was probed with anti-phospho p42/p44 MAPK antibody (pERK [1:100], CST; Cat no. 9101; Lot no. 16), counterstained with hematoxylin, and then analyzed microscopically using a Zeiss Axioplan 2 microscope. An isotype control (rabbit, Zymed laboratories, catalog no. 08-6199, lot no. 40186458) was run as a negative control.


For FACS analysis, cells were scraped and pelleted at 1,500 rpm for 5 minutes, then re-suspended in 1 mL of buffer and frozen at −70° C. The frozen cells were thawed and centrifuged again, followed by 10 minutes of re-suspension in 0.25 mL of Buffer A (trypsin in spermine tetrahydrochloride detergent buffer) to disaggregate cell clumps and digest cell membranes and cytoskeletons. Buffer B (trypsin inhibitor and Ribonuclease I in buffer, 0.2 mL) was added for 10 minutes in the dark. The resulting DNA-stained nuclei were filtered and analyzed by FACS. The histograms were analyzed to establish the proportion of cells in the G1, S, and G2/M phases of the cell cycle based on the presence of n and 2n DNA (or higher) content.


For measurement of in vitro combination activity, five thousand G-361 cells were seeded into triplicate 96-well plates containing McCoy's 5A with 10% (v/v) FBS and allowed to adhere overnight. The vemurafenib/BVD-523 combination was tested using a 10×8 dose matrix. Compounds were incubated with the cells for 72 hours at 37° C. in a 5% CO2 humidified atmosphere. CellTiter-Glo reagent was added according to manufacturer's instructions and luminescence detected using a MBG FLUOstar plate reader. The interactions across the dose matrix were determined by the Loewe Additivity and Bliss independence models using Horizon's Chalice Combination Analysis Software.


For generating compound resistance in vitro by dose escalation, A375 parental cells (ATCC CRL-1619) were grown to ˜40-60% confluence in Dulbecco's Modified Eagle's Medium (DMEM) supplemented with 10% heat-inactivated FBS and penicillin/streptomycin, then treated with initial doses of BVD-523, trametinib, or dabrafenib either alone or in combination at or slightly below each compound's IC50; for combination studies, initial dosing was half of each compound's IC50. Cells were allowed to grow until ˜70-90% confluence and split; medium was refreshed every 3-4 days. When cells again reached ˜40-60% confluence, the dose was escalated by the same increment (equivalent to the starting concentration) then moved to 1.5-fold increases in concentration followed by a further move to 2-fold increases if the cells continued to adapt rapidly (e.g., the first six doses of the dabrafenib escalation were: 5, 10, 15, 20, 25, and 37.5 nM). This process was repeated as required.


Cell viability assays for FIG. 30A were performed by a Resazurin (Alamar Blue) metabolic assay after 5 days in drug in full serum under high glucose conditions. Cells were seeded in 384-well microplates at ˜15%-50% confluence in medium with 10% FBS and penicillin/streptavidin plus high glucose (18-25 mM). The optimal cell number for each cell line was determined to optimize growth during drugging. For adherent cell lines, after overnight incubation cells were treated with 9 concentrations of each compound (2-fold dilutions series) using liquid handling robotics, and returned to the incubator for assay at a 96-h time point. For suspension cell lines, cells were treated with compound immediately after plating and returned to the incubator for a 96-h time point. Cells were then stained with 55 μg/ml Resazurin (Sigma) prepared in glutathione-free media for 4 hours. Quantitation of fluorescent signal intensity was performed using a fluorescent plate reader at excitation and emission wavelengths of 535/595 nm for Resazurin. All screening plates were subjected to stringent quality control measures. Effects on cell viability were measured and a curve-fitting algorithm was applied to the raw dataset to derive a multi-parameter description of drug response, including the half maximal inhibitory concentration (IC50). IC50 is expressed in natural log of the IC50 in μM (LN_IC50; EXP returns IC50 in μM). Extrapolation of the IC50 was allowed for where it yielded very high values. If desired the data was restricted to the tested concentration range by capping IC50 values at the maximum tested concentration (and the minimum tested concentration for low values).


For efficacy testing of BVD-523 in a patient-derived xenograft (AT052C) representing melanoma from a BRAFV600E patient that had become clinically refractory to vemurafenib. Tumor fragments were harvested from host animals and implanted into immune-deficient mice. The study was initiated at a mean tumor volume of approximately 170 mm3, at which point the animals were randomized into four groups including a control (1% [v/v] CMC p.o., BID×31) and three treatment groups (BVD-523 [100 mg/kg], dabrafenib [50 mg/kg], or BVD-523/dabrafenib [100/50 mg/kg], n=10/group); All treatment drugs were administered p.o. on a BID×31 schedule.


For IC50 determination for the inhibition of PMA-stimulated RSK1 phosphorylation by BVD-523 in human whole blood samples, IC50 values for the inhibition of PMA stimulated RSK1 phosphorylation by BVD-523 were determined for 10 healthy donors (aged 22-61 years) using an 8-point concentration curve ranging from 10 μM to 5 nM of BVD-523. Controls consisted of 3 unstimulated samples and 3 PMA-stimulated samples for each donor. Both phosphor-RSK (pRSK) and total RSK levels were determined and data were calculated using pRSK/RSK levels for each sample.


Thirty milliliters of blood was drawn from each donor into sodium heparin vacutainers. One mL of whole blood was added to each of twenty-two 2-mL microtubes per donor. The microtubes tubes were labeled with the donor number (1 through 10) and the subsequent treatment designation: “A” for PMA stimulation only (maximum), “B” for BVD-523-containing samples that received PMA stimulation; and “C” for the unstimulated samples (minimum). Dimethyl sulfoxide (DMSO) was added to all tubes in groups A and C to a final concentration of 0.1%. Samples were then rocked gently at room temperature.


BVD-523 (10 mM in 100% DMSO) was serially diluted with 3-fold dilutions into 100% DMSO. These serially diluted BVD-523 samples in 100% DMSO were then diluted 10-fold in Dulbecco's Modified Eagle Medium containing 10% fetal bovine serum and penicillin/streptomycin/glutamine, and 10 μL of each of these working solutions was added per mL of blood for each designated BVD-523 concentration. Each concentration of BVD-523 was run in duplicate, two 1-mL blood samples each, yielding 16 total samples for the full 8-point concentration curve. Samples were then rocked gently at room temperature for a minimum of 2 hours but not longer than 3 hours.


Human whole blood samples in groups A and B for all donors were stimulated with PMA at a final concentration of 100 nM for 20 minutes at room temperature. Samples in group C were not treated with PMA but were rocked and handled as all other samples.


Upon completion of PMA treatment for each sample, peripheral blood mononuclear cells were isolated from the human whole blood. One mL of blood from each sample was gently layered onto 0.75 mL of room-temperature Histopaque 1077 in a 2-mL microcentrifuge tube. The samples were centrifuged for 2 minutes at 16,000×g in an Eppendorf microcentrifuge. The interface and upper layers were removed and added to tubes containing 1 mL of cold Dulbecco's phosphate-buffered saline (DPBS). These samples were then centrifuged for 30 seconds at 16,000×g to pellet the cells. The buffer supernatant was removed by aspiration and the pellets were re-suspended in 1 mL of cold DPBS. The pellets from each sample were then re-pelleted as above. The buffer was removed by aspiration and the pellets were lysed as indicated below.


Complete lysis buffer consisted of Meso Scale Discovery Tris lysis buffer, 1× Halt Protease inhibitor cocktail, 1× Phosphatase inhibitor cocktail 2, 1× Phosphatase inhibitor cocktail 3, 2 mM phenylmethanesulfonyl fluoride, and 0.1% sodium dodecyl sulfate. Lysis buffer was kept on ice and made fresh for each sample group. Final cell pellets were lysed by the addition of 120 μL of complete lysis buffer. Samples were vortexed until the cell pellet disappeared and then flash frozen on dry ice. Samples were stored at −20° C. prior to measurement of pRSK and total RSK by ELISA.


For the pRSK ELISA (PathScan), thawed lysates were combined 1:1 with sample diluent (provided in ELISA kit): 120 μL of lysate added to 120 μL of sample diluent in a round bottom 96-well plate. This combination was then transferred to the pRSK microwells at 100 μL per well. For the total RSK ELISA (PathScan), 20 μL of the lysate already diluted 1:1 in sample diluent was further diluted in 200 μL of sample diluent in a round bottom 96-well plate. This combination was then transferred to the total RSK microwells at 100 μL per well. The plates were sealed with a plate seal and incubated 16 to 18 hours at 4° C., a time that was shown to yield the best detection of the target protein. Both ELISAs were developed according to the kit instructions.


Patients aged ≥18 years were eligible for participation if they had noncurable, histologically confirmed metastatic or advanced stage malignant tumors; an ECOG performance status of 0 or 1; adequate renal, hepatic, bone marrow, and cardiac function; and a life expectancy months. Patients may have received up to 2 prior lines of chemotherapy for their metastatic disease. Exclusion criteria were known uncontrolled brain metastases; gastrointestinal conditions which could impair absorption of study medication; history or current evidence/risk of retinal vein occlusion or central serous retinopathy; and concurrent therapy with drugs known to be strong inhibitors of CYP1A2, CYP2D6, and CYP3A4 or strong inducers of CYP3A4. All participants provided informed consent prior to initiation of any study procedures.


Patients that received at least one dose of BVD-523 were included in the analysis useing SAS (version 9.3) software. The data cutoff was Dec. 1, 2016. This study is registered with ClinicalTrials.gov, number NCT01781429.


The present invention presents data from an open-label, multicenter phase I study to assess the safety, pharmacokinetics, and pharmacodynamics of escalating doses of BVD-523 in patients with advanced malignancies. The dosing regimen combined both accelerated titration and standard cohort 3+3 dose escalation schema, which were used jointly to identify the MTD and RP2D of BVD-523 in patients with advanced solid tumors. One to 6 patients per treatment cohort were assigned to receive sequentially higher oral doses of BVD-523 on a BID schedule (12-hour intervals) in 21-day cycles, starting at a dose of 10 mg BID. BVD-523 was administered BID continuously in 21-day cycles at the following doses: 10 mg (n=1); 20 mg (n=1); 40 mg (n=1); 75 mg (n=1); 150 mg (n=1); 300 mg (n=4); 600 mg (n=7); 750 mg (n=4); and 900 mg (n=7).


Patients received BID oral doses until disease progression, unacceptable toxicity, or a clinical observation satisfying another withdrawal criterion. Dose escalations occurred in up to 100% increments in single-patient cohorts until 1 patient experienced a Grade 2 toxicity (excluding alopecia or diarrhea). Cohorts were then expanded to at least 3 patients each and subsequent dose-escalation increments were reduced from up to 100% to a maximum of 50%. When at least 1 patient in a 3-patient cohort experienced a DLT, up to 3 additional patients were treated at this dose level. When more than 1 DLT occurred in patients, this dose level was defined as the nontolerated dose and dose escalation was stopped. Intrapatient dose escalation was allowed, provided the patients receiving the highest current dose had been observed for at least 3 weeks and dose-limiting side effects were reported in fewer than 2 of 6 patients assigned to a given dose. Patients experiencing DLTs or unacceptable toxicity had their treatment interrupted until the toxicity returned to Grade 1. Resumption of BVD-523 treatment was then initiated at the next lower dose level tested or at a 20% to 30% dose decrease, aligning with capsule dosage.


The primary objective of the phase I study was to define the safety and tolerability of BVD-523 by determining the dose-limiting toxicities, the MTD, and the RP2D. The secondary objectives included the determination of the pharmacokinetic profile of BVD-523 in patients with advanced malignancies and the investigation of any preliminary clinical effects on tumor response, as assessed by physical or radiologic exam using RECIST v1.1. The exploratory objectives included evaluation of pharmacodynamic marker (biomarker) measures and investigation of preliminary clinical effects on tumor response assessed by 18F-FDG-PET as indicated.


For determination of MTD, DLT, and RP2D, MTD was defined as the highest dose cohort at which ≤33% of patients experienced BVD-523-related DLTs in the first 21 days of treatment. DLT was defined as a BVD-related toxicity in the first 21 days of treatment that resulted in Grade 4 hematologic toxicity for >1 day; Grade 3 hematologic toxicity with complications (e.g., thrombocytopenia with bleeding); ≥Grade 3 nonhematologic toxicity, except untreated nausea, vomiting, constipation, pain, and rash (these become DLTs if the AE persisted despite adequate treatment); or a treatment interruption exceeding 3 days in Cycle 1 (or the inability to being in Cycle 2 for >7 days) due to BVD-523-related toxicity.


The RP2D could be as high as the MTD and was determined in discussion with the clinical investigators, the medical monitor, and the sponsor. Observations related to pharmacokinetics, pharmacodynamics, and any cumulative toxicity observed after multiple cycles were included in the rationale supporting the RP2D.


With regard to safety assessments, AEs were defined as any untoward medical occurrence in a patient who was administered a medicinal product that does not necessarily have a causal relationship with BVD-523, and was coded using the MedDRA coding dictionary. An SAE was any untoward medical occurrence that occurred at any dose that resulted in death, was life-threatening, required inpatient hospitalization or prolongation of existing hospitalization, or resulted in persistent or significant disability/incapacity or a congenital anomaly/birth defect. The severity of AEs were graded according to the National Cancer Institute Common Terminology Criteria for Adverse Events, Grading Scale, version 4.


Safety evaluations were conducted at baseline, on Days 8, 15, 22, 29, 36, and 43, and, in patients who continued treatment, every 3 weeks or if clinically indicated thereafter. Each evaluation included a physical examination and clinical laboratory studies. Electrocardiograms were repeated if clinically significant and at the discretion of the investigator. The investigators made judgments regarding whether or not AEs were related to study drug and followed up until resolution or stabilization, or the AE was judged to be no longer clinically significant.


For pharmacokinetic analysis, the pharmacokinetic population consisted of patients who received at least one dose of BVD-523 and had evaluable pharmacokinetic data for plasma and/or urine. Blood samples were collected prior to dosing, and then at 0.5 (±5 min), 1 (±5 min), 2 (±10 min), 4 (±10 min), 6 (±10 min), 8 (±10 min), and 12 (±2 hr) hours on Day 1 (Visit 2; baseline/initiation of treatment) and Day 15 (Visit 4; at steady state) after the morning dose. On Day 22, prior to dose administration, a final blood sample was collected for pharmacokinetic analyses. Urine samples were collected predose and at the 1- to 6-hour and 6- to 12-±2-hour intervals postdose on Days 1 and 15. Plasma and urine samples were analyzed for BVD-523 and metabolites using validated LC/MS/MS methods. Standard pharmacokinetic parameters were obtained using Phoenix WinNonlin (Pharsight) with a noncompartmental method. Relationship between dose and exposure was calculated using standard least-squares regression analysis.


For pharmacodynamic confirmation of target inhibition by BVD-523, targeted ERK inhibition by BVD-523 was determined by examining pRSK as a target biomarker in human whole blood samples obtained from patients with advanced solid tumors (N=27) who had received different doses of BVD-523 (10-900 mg BID) during the phase I study. The activity of BVD-523 from 4 timepoints (baseline predose, baseline 4 hours postdose, Day 15 predose, and Day 15 4 hours postdose) was expressed as a percent activity (pRSK) of PMA-stimulated blood incubated with BVD-523.


For measurement of antitumor response, tumor measurements based on physical examination occurred at baseline and on the first day of each treatment cycle. CT and other assessments were made every 2 to 3 cycles. Findings were assessed in accordance with RECIST v1.1: CR was defined as disappearance of all target lesions; PR was defined as a ≥30% decrease in the sum of the longest diameters of target lesions, taking baseline measurements as reference; stable disease was defined as being of neither sufficient shrinkage to qualify for PR nor sufficient increase to qualify for progressive disease, taking as reference the baseline measurement. Metabolic response was assessed by visualizing tumor uptake of 18F-glucose via 18F-FDG-PET scanning prior to receiving the first dose of BVD-523 and at Day 15 (Visit 4).


Example 2
Dose Escalation and Proliferation Assays—Month 1
Dose Escalation Progress—Month 1

A375 cells were dose escalated using BVD-523, dabrafenib, and trametinib either as single agents or in combination. Doses were increased in small increments during the first month. Other than a marked reduction in growth rate, cells generally tolerated the escalations well and the doses were planned to be more aggressively escalated using larger increments in month 2. FIG. 1A-FIG. 1C show month 1 progress for the dose escalation studies.


Proliferation Assay Results—Month 1

Proliferation assays were performed to assess the response of the escalated cells lines vs. parental cell line, to BVD-523, dabrafenib, and trametinib treatments.



FIG. 2A-FIG. 2H show normalized and raw proliferation assay results from month 1 of the studies. Note that differences in max signals in DMSO controls between different treatments (FIG. 2D, FIG. 2F, and FIG. 2H) suggest differential growth rates between treatments. These differences may influence the responses of lines to inhibitors in the proliferation assays.


Table 10 shows IC50 data for month 1 of the studies.









TABLE 10







IC50 Data-Month 1









Cell Line, Relative IC50 (nM)


















BVD-
Dab/
Dab/
Tram/


Compound
Par*
Tram
Dab
523
Tram
523
523

















Dabrafenib
6
29
about
8
58
68
11





161






Trametinib
0.5
2.2
2.5
0.7
3.9
3.1
2.5


BVD-523
189
335
350
268
300
412
263


Paclitaxel
2.2
3.0
3.3
3.4
3.5
3.4
3.4





*Par = Parental cell line






There were early hints that cells grown in the presence of escalating doses of dabrafenib or trametinib, either as single agents or in combinations, were exhibiting decreased responses to these two agents in proliferation assays.


In the early stages of month 2, the growth rate of cells in the dabrafenib only treatment notably increased relative to the early stages of month 1. This enabled an increased rate of progression and suggested that resistance was becoming apparent.


Example 3
Dose Escalation and Proliferation Assays—Month 2
Dose Escalation Progress—Month 2

The second month of studies saw most treatments move into a phase where doses were increased in greater increments (1.5-fold) compared to the initial gentle escalation phase. The single agent escalation of dabrafenib and trametinib was quickest, with cells growing in concentrations equivalent to 100×parental cell IC50 (FIG. 3A and FIG. 3B). The single agent escalation of BVD-523 progressed more slowly compared to dabrafenib and trametinib (FIG. 3C). See FIG. 3D for a comparison of the single agent escalations. BVD-523 escalated cells had a more “fragile” appearance and there was a greater number of floating cells compared to the dabrafenib and trametinib escalated populations.


The combined agent escalations progressed more slowly than the single agent treatments. The BVD-523/trametinib combination was particularly effective in preventing cells from progressing.


Proliferation Assay Results—Month 2

Proliferation assays on single agent escalated dabrafenib and trametinib cell populations revealed modest shifts in the dose response curves, suggesting that an additional period of escalation would be beneficial to further enrich for resistant cells. Interestingly, in the proliferations assay, there was evidence to suggest that cells exposed to BVD-523 grew less well upon inhibitor withdrawal, perhaps indicating a level of addiction.



FIG. 4A-FIG. 4H show normalized and raw proliferation assay results from month 2 of the studies. Note that differences in max signals in DMSO controls between different treatments (FIG. 4D, FIG. 4F, and FIG. 4H) suggest differential growth rates between treatments. These differences may influence the responses of lines to inhibitors in the proliferation assays.



FIG. 5A-FIG. 5H show normalized and raw proliferation assay results from month 2 of the studies with a focus on parental and BVD-523 line data only.


Table 11 shows IC50 data for month 2 of the studies. Relative IC50s were determined from 4-parameter curve fits in Prism.









TABLE 11







IC50 Data-Month 2









Cell Line, Relative IC50 (nM)


















BVD-
Dab/
Dab/
Tram/


Compound
Par*
Tram
Dab
523
Tram
523
523

















Dabrafenib
4.1
6.2
11.5
697
256
218
68


Trametinib
0.4
0.7
1.1
24.3
12.6
6.2
4.6


BVD-523
187
252
284
1706
561
678
435


Paclitaxel
3.7
8.9
1.9
6.5
4.7
4.2
8.9





*Par = Parental cell line






Example 4
Dose Escalation and Proliferation Assays—Month 3
Dose Escalation Progress—Month 3


FIG. 6A-FIG. 6C show single and combination agent escalation for month 3 of the studies. FIG. 6D shows a comparison of single agent escalations.


Proliferation Assay Results—Month 3


FIG. 7 shows an assessment of growth during the proliferation assay in DMSO control wells. FIG. 8A-FIG. 8D show results from month 3 of the studies. FIG. 9A-FIG. 9D show results from month 3 of the studies with a focus on single treatment cell lines.


Table 12 shows IC50 data for month 3 of the studies. Relative IC50s were determined from 4-parameter curve fits in Prism. IC50 values were not determined for the cell line escalated with trametinib due to a lack of growth during the assay (ND: not done).









TABLE 12







IC50 Data-Month 3









Cell Line, Relative IC50 (nM)


















BVD-
Dab/
Dab/
Tram/


Compound
Par*
Tram
Dab
523
Tram
523
523

















Dabrafenib
2.1
ND
2.5
18.4
17.9
337
73


Trametinib
0.2
ND
0.4
1.7
2.7
90
11.2


BVD-523
129
ND
198
433
323
1151
296


Paclitaxel
1.9
ND
1.9
6.5
4.7
4.2
8.9





*Par = Parental cell line







FIG. 19 shows single and combination agent escalation for month 3 of the studies. Cell line variants were obtained that could grow in the presence of dabrafenib or trametinib at concentrations greater than 100 times the IC50 of these agents in parental A375 cell. In comparison, cell lines resistant to BVD-523 could only be maintained in less than 10× of parental IC50 concentration. Sensitivity testing suggested dabrafenib and trametinib-resistant cell lines remained relatively sensitive to BVD-523; the increased IC50 “shift” for BVD-523 in resistant cell lines was more modest than those corresponding IC50 increases following dabrafenib or trametinib treatment. Likewise, compared to dabrafenib or trametinib treatment, more complete inhibition of cell growth was observed when resistant cell lines were treated with BVD-523 at concentrations 10-fold above its IC50 in the parental A375 line. In total, patterns of resistance and cross-sensitivity suggest BVD-523 may remain effective in settings of acquired resistance.


Example 5
Combination Study Results

As expected, A375 cells, which carry a BRAF (V600E) mutation, were sensitive to dabrafenib. Single agent IC50 values calculated using Alamar Blue (FIG. 10A-FIG. 10E, FIG. 12A-FIG. 12E, and FIG. 14A-FIG. 14E) were generally slightly lower for Dabrafenib and BVD-523 compared to those derived using CellTiter-Glo (FIG. 11A-FIG. 11E, FIG. 13A-FIG. 13E, and FIG. 15A-FIG. 15E). Published IC50 values for Dabrafenib and Trametinib in a 72 hour CellTiter-Glo assay were 28±16 nM and 5±3 nM respectively (Greger et al., 2012; King et al., 2013)—the single agent results reported here are consistent with these values. There was some evidence for a window of synergy in all treatments. Variation between triplicates was low, however, there was some evidence of edge effects that likely explains the apparent enhanced growth observed in some treatments versus the no drug control (e.g. particularly apparent in the Trametinib/BVD-523 combination). This makes the interpretation of the Bliss analysis more challenging as in some treatments it may have resulted in the artefactual enhancement in the level of synergy.


The combination assays were repeated for A375 cells. Single agent BVD-523, Trametinib and Dabrafenib potencies were consistent with those reported in the previous studies disclosed herein.


In sum, taken together the data show that MEK and BRAF resistant cells could be overcome by treatment with the ERK inhibitor, BVD-523.


Example 6
BVD-523 Altered Markers of MAPK Kinase Activity and Effector Function

For Western blot studies, HCT116 cells (5×106) were seeded into 10 cm dishes in McCoy's 5A plus 10% FBS. A375 cells (2.5×106) were seeded into 10 cm dishes in DMEM plus 10% FBS. Cells were allowed to adhere overnight prior to addition of the indicated amount of test compound (BVD-523) or vehicle control. Cells were treated for either 4 or 24 hours before isolation of whole-cell protein lysates, as specified below. Cells were harvested by trypsinisation, pelleted and snap frozen. Lysates were prepared with RIPA (Radio-Immunoprecipitation Assay) buffer, clarified by centrifugation and quantitated by bicinchoninic acid assay (BCA) assay. 20-50 μg of protein was resolved by SDS-PAGE electrophoresis, blotted onto PVDF membrane and probed using the antibodies detailed in Table 13 (for the 4-hour treatment) and Table 14 (for the 24-hour treatment) below.









TABLE 13







Antibody Details


















Incubation/




Size



Block



Antigen
(kDa)
Supplier
Cat No
Dilution
Conditions
Secondary
















pRSK1/2
90
Cell
9335
1:1000
o/n 4° C. 5%
anti-rabbit


p5380

Signaling


BSA



pRSK1/2
90
Cell
11989
1:2000
o/n 4° C. 5%
anti-rabbit


pS380

Signaling


BSA



pRSK-
90
Millipore
04-419
1:40000
o/n 4° C. 5%
anti-rabbit


T359/5363




BSA



Total
90
Cell
9333
1:1000
o/n 4° C. 5%
anti-rabbit


RSK

Signaling


BSA



pErk 1/2
42/44
Cell
9106S
1:500
o/n 4° C. 5%
anti-mouse




Signaling


milk



Total
42/44
Cell
9102
1:2000
o/n 4° C. 5%
anti-rabbit


ERK

Signaling


milk



pMEK1/2
45
Cell
9154
1:1000
o/n 4° C. 5%
anti-rabbit




Signaling


BSA



Total
45
Cell
9126
1:1000
o/n 4° C. 5%
anti-rabbit


MEK

Signaling


BSA



pS6-pS235
32
Cell
2211S
1:3000
o/n 4° C. 5%
anti-rabbit




Signaling


milk



Total S6
32
Cell
2217
1:2000
o/n 4° C. 5%
anti-rabbit




Signaling


milk



DUSP6
48
Cell
3058S
1:1000
o/n 4° C. 5%
anti-rabbit




Signaling


BSA



Total
73
BD Bio-
610152
1:2000
o/n 4° C. 5%
anti-mouse


CRAF

sciences


milk



pCRAF-
73
Cell
9427
1:1000
o/n 4° C. 5%
anti-rabbit


Ser338

Signaling


BSA



pRB
105
Cell
9307
1:2000
o/n 4° C. 5%
anti-rabbit


(Ser780)

Signaling


BSA



β-Actin
42
Sigma
A5441
1:500,000
o/n 4° C. 5%
anti-mouse







milk

















TABLE 14







Antibody details


















Incubation/




Size



Block



Antigen
(kDa)
Supplier
Cat No
Dilution
Conditions
Secondary
















pRB
105
Cell
9307
1:2000
o/n 4° C. 5%
anti-rabbit


(Ser780)

Signaling


BSA



CCND1
34
Abcam
ab6152
1:500
o/n 4° C. 5%
anti-mouse







milk



Bim-EL
23
Millipore
AB17003
1:1000
o/n 4° C. 5%
anti-rabbit







BSA



Bim-EL
23
Cell
2933
1:1000
o/n 4° C. 5%
anti-rabbit




Signaling


BSA



BCL-xL
30
Cell
2762
1:2000
o/n 4° C. 5%
anti-rabbit




Signaling


BSA



PARP
116/89 
Cell
9542
1:1000
o/n 4° C. 5%
anti-rabbit




Signaling


milk



Cleaved
17,19
Cell
9664X
1:1000
o/n 4° C. 5%
anti-rabbit


Caspase 3

Signaling


milk



DUSP6
48
Cell
3058S
1:1000
o/n 4° C. 5%
anti-rabbit




Signaling


BSA



pRSK1/2
90
Cell
9335
1:1000
o/n 4° C. 5%
anti-rabbit


pS380

Signaling


BSA



pRSK1/2
90
Cell
11989
1:2000
o/n 4° C. 5%
anti-rabbit


pS380

Signaling


BSA



pRSK-
90
Millipore
04-419
1:40000
o/n 4° C. 5%
anti-rabbit


T359/5363




BSA



Total RSK
90
Cell
9333
1:1000
o/n 4° C. 5%
anti-rabbit




Signaling


BSA



pErk 1/2
42/44
Cell
9106S
1:500
o/n 4° C. 5%
anti-mouse




Signaling


milk



Total ERK
42/44
Cell
9102
1:2000
o/n 4° C. 5%
anti-rabbit




Signaling


milk



B-Actin
42
Sigma
A5441
1:500,000
o/n 4° C. 5%
anti-mouse







milk











FIG. 16A-FIG. 16D, FIG. 17A-FIG. 17D, and FIG. 18A-FIG. 18D show Western blot analyses of cells treated with BVD-523 at various concentrations for the following: 1) MAPK signaling components in A375 cells after 4 hours; 2) cell cycle and apoptosis signaling in A375 24 hours treatment with various amounts of BVD-523; and 3) MAPK signaling in HCT-116 cells treated for 4 hours. The results show that acute and prolonged treatment with BVD-523 in RAF and RAS mutant cancer cells in-vitro affects both substrate phosphorylation and effector targets of ERK kinases. The concentrations of BVD-523 required to induce these changes is typically in the low micromolar range.


Changes in several specific activity markers are noteworthy. First, the abundance of slowly migrating isoforms of ERK kinase increase following BVD-523 treatment; modest changes can be observed acutely, and increase following prolonged treatment. While this could indicate an increase in enzymatically active, phosphorylated forms of ERK, it remains noteworthy that multiple proteins subject to both direct and indirect regulation by ERK remain “off” following BVD-523 treatment. First, RSK1/2 proteins exhibit reduced phosphorylation at residues that are strictly dependent on ERK for protein modification (T359/5363). Second, BVD-523 treatment induces complex changes in the MAPK feedback phosphatase, DUSP6: slowly migrating protein isoforms are reduced following acute treatment, while total protein levels are greatly reduced following prolonged BVD-523 treatment. Both of these findings are consistent with reduced activity of ERK kinases, which control DUSP6 function through both post-translational and transcriptional mechanisms. Overall, despite increases in cellular forms of ERK that are typically thought to be active, it appears likely that cellular ERK enzyme activity is fully inhibited following either acute or prolonged treatment with BVD-523.


Consistent with these observations, effector genes that require MAPK pathway signaling are altered following treatment with BVD-523. The G1/S cell-cycle apparatus is regulated at both post-translational and transcriptional levels by MAPK signaling, and cyclin-D1 protein levels are greatly reduced following prolonged BVD-523 treatment. Similarly, gene expression and protein abundance of apoptosis effectors often require intact MAPK signaling, and total levels of Bim-EL increase following prolonged BVD-523 treatment. As noted above, however, PARP protein cleavage and increased apoptosis were not noted in the A375 cell background; this suggests that additional factors may influence whether changes in BVD-523/ERK-dependent effector signaling are translated into definitive events such as cell death and cell cycle arrest.


Consistent with the cellular activity of BVD-523, marker analysis suggests that ERK inhibition alters a variety of molecular signaling events in cancer cells, making them susceptible to both decreased cell proliferation and survival.


In sum, FIG. 16A-FIG. 16D, FIG. 17A-FIG. 17D, and FIG. 18A-FIG. 18D show that BVD-523 inhibits the MAPK signaling pathway and may be more favorable compared to RAF or MEK inhibition in this setting.


Finally, properties of BVD-523 may make this a preferred agent for use as an ERK inhibitor, compared to other agents with a similar activity. It is known that kinase inhibitor drugs display unique and specific interactions with their enzyme targets, and that drug efficacy is strongly influenced by both the mode of direct inhibition, as well as susceptibility to adaptive changes that occur following treatment. For example, inhibitors of ABL, KIT, EGFR and ALK kinases are effective only when their cognate target is found in active or inactive configurations. Likewise, certain of these inhibitors are uniquely sensitive to either secondary genetic mutation, or post-translational adaptive changes, of the protein target. Finally, RAF inhibitors show differential potency to RAF kinases present in certain protein complexes and/or subcellular localizations. In summary, as ERK kinases are similarly known to exist in diverse, variable, and complex biochemical states, it appears likely that BVD-523 may interact with and inhibit these targets in a fashion that is distinct and highly preferable to other agents.


Example 7
Effects of BVD-523 and Benchmark ERK BRAF and MEK Inhibitors on Viability and MAPK Signalling
Single Agent Proliferation Assay

Cells were seeded in 96-well plates at the densities indicated in Table 15 in McCoy's 5A containing 10% FBS and allowed to adhere overnight prior to addition of compound or vehicle control. Compounds were prepared from DMSO stocks to give the desired final concentrations. The final DMSO concentration was constant at 0.1%. Test compounds were incubated with the cells for 96 h at 37° C., 5% CO2 in a humidified atmosphere. CellTiter-Glo® reagent (Promega, Madison, Wis.) was added according to manufacturer's instructions and luminescence detected using the BMG FLUOstar plate reader (BMG Labtech, Ortenberg, Germany). The average media only background value was deducted and the data analysed using a 4-parameter logistic equation in GraphPad Prism (GraphPad Software, La Jolla, Calif.).


Combination Proliferation Assay

Cells were seeded into triplicate 96-well plates at the densities indicated in Table 15 in McCoy's 5A containing 10% FBS and allowed to adhere overnight prior to addition of test compound or vehicle control. Combinations were tested using a 10×8 dose matrix. The final DMSO concentration was constant at 0.2%.


Test compounds were incubated with the cells for 96 h at 37° C., 5% CO2 in a humidified atmosphere. Cells were stained with Hoechst stain and fluorescence detected as described above. The average media only background value was deducted and the data analysed.


Combination interactions across the dose matrix were determined by the Loewe Additivity and Bliss independence models using Chalice™ Combination Analysis Software (Horizon Discovery Group, Cambridge, Mass.) as outlined in the user manual (available at chalice.horizondiscovery.com/chalice-portal/documentation/analyzer/home.jsp). Synergy is determined by comparing the experimentally observed level of inhibition at each combination point with the value expected for additivity, which is derived from the single-agent responses along the edges of the matrix. Potential synergistic interactions were identified by displaying the calculated excess inhibition over that predicted as being additive across the dose matrix as a heat map, and by reporting a quantitative ‘Synergy Score’ based on the Loewe model. The single agent data derived from the combination assay plates were presented as dose-response curves generated in Chalice™.









TABLE 15







Cell Line Seeding Density









Seeding density (cells/well)











96-well

10 cm dish


Cell Line
Proliferation
6-Well Western
Westerns





RKO Parental
1000
  1 × 106
2.9 × 106


RKO MEK1
1250
Not tested
Not tested


(Q56P/+) Clone 1


RKO MEK1
1000
7.5 × 105
  2 × 106


(Q56P/+) Clone 2









Western Blotting

Cells were seeded into 6-well plates (Experiment 1) or 10 cm dishes (Experiment 2) at the densities indicated in Table 15 in McCoy's 5A containing 10% FBS and allowed to adhere overnight prior to addition of compound or vehicle control. Test compounds were added and incubated with the cells for 4 or 24 h at 37° C., 5% CO2 in a humidified atmosphere. Cells were harvested by trypsinisation, pelleted by centrifugation and snap frozen on dry ice.


Lysates were prepared using RIPA buffer (50 mM Tris-hydrochloride, pH 8.0; 150 mM sodium chloride; 1.0% Igepal CA-630 (NP-40); 0.5% sodium deoxycholate; 0.1% sodium dodecyl sulphate; 1× complete EDTA-free protease inhibitor cocktail (Roche, Nutley, N.J.; cat 05 892 791 001); 1× phosSTOP phosphatase inhibitor cocktail (Roche Nutley, N.J.; cat. 04 906 837 001)) and clarified by centrifugation at 11,000 rpm for 10 min in a bench-top centrifuge.


Total protein in the lysates was quantitated by BCA assay according to the manufacturer's instructions (Pierce™ BCA Protein Assay Kit; Thermo Scientific, Waltham, Mass.; cat. 23225), boiled in sample buffer (NuPAGE LDS Sample Buffer; (Invitrogen, Carlsbad, Calif.; cat. NP0007)) and stored at −80° C.


Equal amounts of protein (40 μg) were resolved on NuPAGE 4-12% Bis-Tris gels (Invitrogen, Carlsbad, Calif.; cat. WG1402BOX) and blotted onto PVDF membranes using iBlot gel transfer stacks (Invitrogen, Carlsbad, Calif.; cat. IB4010-01) on an iBlot gel transfer device (Invitrogen Carlsbad, Calif.) according to the manufacturer's instructions.


Blots were probed using the antibodies and block conditions detailed in Table 16. Western blots were developed using Pierce™ ECL2 Western blotting substrate (Thermo Scientific, Waltham, Mass.; cat. 80196) and imaged using a FluorChem M Western blot imager (ProteinSimple, San Jose, Calif.).









TABLE 16







Antibodies and Western Blotting Conditions














Size



Incubation/block



Antigen
(kDa)
Supplier
Cat No
Dilution
Conditions
Secondary
















pRSK-T359/S363
90
Millipore
04-419
1:20000
o/n 4° C. 5% BSA
anti-rabbit


Total RSK
90
Cell Signaling
9333
1:1000
o/n 4° C. 5% BSA
anti-rabbit


pErk 1/2
42/44
Cell Signaling
9106S
1:500
o/n 4° C. 5% milk
anti-mouse


Total ERK
42/44
Cell Signaling
9102
1:2000
o/n 4° C. 5% milk
anti-rabbit


pMEK 1/2
45
Cell Signaling
9154
1:1000
o/n 4° C. 5% BSA
anti-rabbit


Total MEK
45
Cell Signaling
9126
1:1000
o/n 4° C. 5% BSA
anti-rabbit


DUSP6
48
Cell Signaling
3058S
1:1000
o/n 4° C. 5% BSA
anti-rabbit


pRB (Ser780)
105
Cell Signaling
9307
1:2000
o/n 4° C. 5% BSA
anti-rabbit


CCND1
34
Abeam
ab6152
1:500
o/n 4° C. 5% milk
anti-mouse


B-Actin
42
Sigma
A5441
1:100,000
o/n 4° C. 5% milk
anti-mouse


Anti-rabbit

Cell Signaling
7074S
1:2000
1 h room temp;



HRP-conjugated




Block matched to



secondary




primary Antibody



Anti-mouse

Cell Signaling
7076
1:5000
1 h room temp;



HRP-conjugated




Block matched to



secondary




primary Antibody










The MEK1 (Q56P) mutation exemplifies a class of clinically relevant MEK1/2 activating mutations known to up-regulate the MAPK pathway and drive acquired resistance to BRAF or MEK inhibitors.


This study used a pair of RKO BRAF(V600E) cell lines that are isogenic for the presence or absence of a MEK1 (Q56P) activating mutation, to assess the effect that activating MEK mutations have in response to the novel ERK inhibitor BVD-523 versus other benchmark MAPK inhibitors.


Effects of on cell viability were assessed by quantitating cellular ATP levels using CellTiter-Glo® after 96 h. Single agent assays demonstrated that the double mutant BRAF(V600E)::MEK1(Q56P) cells displayed a markedly reduced sensitivity to inhibition with benchmark clinical BRAF (exemplified by Dabrafenib) or MEK (exemplified by Trametinib) inhibitors relative to the parental BRAF(V600E) cells, which demonstrates the suitability of this isogenic model for recapitulating the acquired resistance known to be associated with this class of mutation in the clinic (Table 17).









TABLE 17







Single Agent IC50 Values











RKO
RKO MEK1 Q56P/+
RKO MEK1 Q56P/+


Compound
Parental
Cl.1
Cl.2





BVD-523
0.20
0.17
0.18


SCH772984
0.04
0.14
0.12


Dabrafenib
n.d.
n.d.
n.d.


Trametinib
0.006
0.093
0.080


Paclitaxel
0.002
0.002
0.002





n.d.—not determined, only a partial dose response achieved






In contrast, response to BVD-523 was identical in both the parental and double mutant cells, indicating that BVD-523 is not susceptible to this mechanism of acquired resistance.


These results were identical in two independently derived double mutant BRAF(V600E)::MEK1(Q56P) cell line clones confirming that these differences in response versus the parental cells were specifically related to the presence of the MEK1 mutation rather than an unrelated clonal artifact (FIG. 22A-FIG. 22E). Similar results were also observed with a second mechanistically distinct benchmark ERK inhibitor (SCH772984), which supports the notion that these observations are specifically related to inhibition of ERK and not due to an off-target effect.


The effect of combining BVD-523 with a BRAF inhibitor (exemplified by Dabrafenib) was also assessed in these cell lines across a matrix of concentrations using the Loewe Addivity or Bliss Independence models with Horizon's Chalice™ combination analysis software (FIG. 23-FIG. 23O and FIG. 24A-FIG. 24O). The presence of potentially synergistic interactions was then assessed by displaying the calculated excess inhibition over that predicted as being additive across the dose matrix as a heat map, and by calculating a ‘Volume Score’ that shows whether the overall response to a combination is synergistic (positive values), antagonistic (negative values) or additive (˜0).


The results suggest that the BVD-523::Dabrafenib combination was mainly additive in the parental and mutant cell line. In contrast, the combination of a MEK inhibitor (trametinib) plus Dabrafenib, while being mostly additive in the parental cell line, showed strong synergy in the double mutant BRAF(V600E)::MEK1(Q56P) cell line (FIG. 25A-FIG. 25O). Loewe Volumes, Bliss Volumes and Synergy scores for the combinations tested are shown in Tables 18-20, respectively and are shown graphed in FIG. 26A-FIG. 26C.









TABLE 18







Loewe Volumes












RKO MEK1
RKO MEK1




(Q56P) -
(Q56P) -



RKO Parental
Clone 1
Clone 2














BVD-523 × Dabrafenib
3.54
2.88
2.35


Dabrafenib × SCH772984
5.7
6.79
6.14


Dabrafenib × Trametinib
5.68
12.6
11.6
















TABLE 19







Bliss Volumes












RKO MEK1
RKO MEK1




(Q56P) -
(Q56P) -



RKO Parental
Clone 1
Clone 2














BVD-523 × Dabrafenib
−0.894
0.527
1.42


Dabrafenib × SCH772984
0.209
4.3
5.07


Dabrafenib × Trametinib
0.353
10.8
9.87
















TABLE 20







Synergy Scores












RKO MEK1
RKO MEK1




(Q56P) -
(Q56P) -



RKO Parental
Clone 1
Clone 2














BVD-523 × Dabrafenib
3.18
2.31
1.77


Dabrafenib × SCH772984
4.56
5.57
4.36


Dabrafenib × Trametinib
5.58
11
9.83









Effects on MAPK pathway signally was assessed by Western blotting. The levels of basal ERK phosphorylation (DMSO samples) was markedly up-regulated in the MEK1(Q56P)-expressing line relative to parental further confirming that this isogenic model faithfully recapitulates the expected phenotype for the expression of MEK activating acquired resistance mutations.


In the parental BRAF(V600E) RKO cells, a reduced level of RSK1/2 phosphorylation is observed following acute treatment with RAF, MEK and ERK kinase inhibitors at pharmacologically active concentrations. In contrast, isogenic, double mutant BRAFV600E::MEK1Q56P cells do not exhibit reduced RSK phosphorylation following BRAF or MEK inhibitor treatment, while BVD-523 remains effective at similar concentrations (FIG. 27A-FIG. 27I). The dotted lines indicate that the trametinib-treated samples (plus matched DMSO control) and blots are derived from a separate experiment to the BRAFi and BVD-523 treated samples.


Changes in effector gene signaling consistent with cell growth inhibition patterns are observed following prolonged inhibitor treatment. In parental RKO lines, a reduced level of phosphorylated pRB is observed following prolonged MEK and ERK inhibitor treatment. At the level of pRB modulation, MEK1 mutant lines appear insensitive to low concentration MEK inhibitor treatment, while higher concentrations remain effective. Critically, BVD-523 potency against pRB activity does not appear to be strongly affected by MEK mutation. Surprisingly, RAF inhibitor treatment does not affect pRB status, despite potent inhibition of upstream signaling, in both parental and MEK mutant backgrounds.


In summary, these results show that BVD-523 is not susceptible to acquired resistance driven by MEK activating mutations such as MEK1 (Q56P). In addition they suggest that in combination the interactions between BVD-523 and BRAFi (exemplified by Dabrafenib) are additive irrespective of the presence of a MEK activating mutation.


Example 8
Combination Interactions Between ERK Inhibitors

RAF mutant melanoma cell line A375 cells were cultured in DMEM with 10% FBS and seeded into triplicate 96-well plates at an initial density of 2000 cells per well. Combination interactions between ERK inhibitors BVD-523 and SCH772984 were analized after 72 hours as described above in Example 4. Viability was determined using CellTiter-Glo® reagent (Promega, Madison, Wis.) according to manufacturer's instructions and luminescence was detected using the BMG FLUOstar plate reader (BMG Labtech, Ortenberg, Germany).


Visualization of the Loewe and Bliss ‘excess inhibition’ heat maps suggested that the combination of BVD-523 and SCH772984 was mainly additive with windows of potential synergy in mid-range doses (FIG. 28A-FIG. 28E).


In summary, these results suggest that interactions between BVD-523 and SCH772984 are at least additive, and in some cases synergistic.


Example 9
Targeting the MAPK Signaling Pathway in Cancer: Promising Activity with the Novel Selective ERK1/2 Inhibitor BVD-523 (Ulixertinib)

Treatment strategies for cancer have evolved from classic cytotoxic-based approaches to agents that counteract the effects of genetic lesions that drive aberrant signaling essential to tumor proliferation and survival. For example, the ERK module of the mitogen-activated protein kinase (MAPK) signaling cascade (RAS-RAF-MEK-ERK) (Cargnello and Rouxx 2011) can be engaged by several receptor tyrosine kinases (e.g., EGFR and ErbB-2) in addition to constitutively activated mutations of pathway components such as RAS and BRAF (Gollob et al. 2006). Through aberrant activation of ERK signaling, genetic alterations in RAS or BRAF result in rapid tumor growth, increased cell survival, and resistance to apoptosis (Poulikakos et al. 2011, Corcoran et al. 2010, Nazarian et al. 2010, Shi et al. 2014, Wagle et al. 2011). Activating mutations of RAS family members KRAS and NRAS are found in ˜30% of all human cancers, with particularly high incidence in pancreatic (Kanda et al. 2012) and colorectal cancer (Arrington et al. 2014). Constitutively activating mutations in the BRAF gene that normally encodes for valine at amino acid 600 have been observed in melanoma, thyroid carcinoma, colorectal cancer, and non-small cell lung cancer (Hall et al. 2014). Cancers bearing genetic mutations that result in changes of the downstream components ERK and MEK have also been reported (Ojesina et al. 2014, Arcila et al. 2015). Alterations that activate the MAPK pathway are also common in the setting of resistance to targeted therapies (Groenendijk et al. 2014). Thus, targeting the MAPK pathway terminal master kinases (ERK1/2) is a promising strategy for tumors harboring such pathway activating alterations (e.g., BRAF, NRAS, and KRAS).


Three MAPK pathway-targeting drugs have been approved by the US Food and Drug Administration (FDA) for single-agent treatment of nonresectable or metastatic cutaneous melanoma with BRAFV600 mutations: the BRAF inhibitors vemurafenib and dabrafenib and the MEK inhibitor trametinib. Furthermore, the combination of dabrafenib and trametinib is also approved in this indication (Queirolo et al. 2015 and Massey et al. 2015). An additional MEK inhibitor, cobimetinib, is approved in this indication as part of a combination regimen with BRAF inhibitors. Clinical experience with these drugs validates the MAPK pathway as a therapeutic target. In phase III trials of patients with BRAFV600-mutant melanoma, the single agents vemurafenib and dabrafenib demonstrated superior response rates (approximately 50% vs. 5-19%) and median progression-free survival (PFS, 5.1-5.3 months vs. 1.6-2.7 months) over cytotoxic chemotherapy (dacarbazine) (Chapman et al. 2011 and Hauschild et al. 2012). Furthermore, clinical use of concomitant BRAF-plus MEK-targeted therapies has demonstrated that simultaneous targeting of different nodes in the MAPK pathway can enhance the magnitude and duration of response. First-line use of BRAF plus MEK-targeted agents (dabrafenib/trametinib or cobimetinib/vemurafenib) further improved median overall survival compared with single-agent BRAF inhibition (Robert et al. 2015, Long et al. 2015, Larkin et al. 2014). Thus, combined BRAF-/MEK-targeted therapy is a valuable treatment option for patients with metastatic melanoma with BRAFV600 mutations.


Despite improvements in clinical outcomes seen with BRAF-/MEK-inhibitor combination therapies, durable benefit is limited by the eventual development of acquired resistance and subsequent disease progression, with median PFS ranging from approximately 9 to 11 months. (Robert et al. 2015, Long et al. 2015, Larkin et al. 2014, and Flaherty et al. 2012). Genetic mechanisms of acquired resistance to single-agent BRAF inhibition have been intensely studied, and identification of resistance mechanisms include splice variants of BRAF (Poulikakos et al. 2011), BRAFV600E amplification (Corcoran et al. 2010), MEK mutations (Wagle et al. 2014), NRAS mutations, and RTK activation (Nazarian et al. 2010 and Shi et al. 2014). Resistance mechanisms in the setting of BRAF-/MEK-inhibitor combination therapy are beginning to emerge and mirror that of BRAF single-agent resistance (Wagle et al. 2014 and Long et al. 2014). These genetic events all share in common the ability to reactivate ERK signaling. Indeed, reactivated MAPK pathway signaling as measured by ERK transcriptional targets is common in tumor biopsies from BRAF inhibitor-resistant patients (Rizos et al. 2014). Furthermore, ERK1/2 reactivation has been observed in the absence of a genetic mechanism of resistance (Carlino et al. 2015). Therefore, the quest to achieve durable clinical benefit has led researchers to focus on evaluating additional agents that target the downstream MAPK components ERK1/2. Inhibiting ERK may provide important clinical benefit to patients with acquired resistance to BRAF/MEK inhibition. ERK family kinases have shown promise as therapeutic targets in preclinical cancer models, including those cancers resistant to BRAF or MEK inhibitors (Morris et al. 2013 and Hatzivassiliou et al. 2012). However, the potential use of such ERK1/2 inhibitors expands beyond acquired-resistance in melanoma.


Targeting ERK1/2 is a rational strategy in any tumor type harboring known drivers of MAPK, not only BRAF/MEK therapy-relapsed patients. As ERK1 and ERK2 reside downstream in the pathway, they represent a particularly attractive treatment strategy within the MAPK cascade that may avoid upstream resistance mechanisms. Here, preclinical characterization of BVD-523 (ulixertinib) in models of MAPK pathway-dependent cancers is reported, including drug-naïve and BRAF/MEK therapy acquired-resistant models. Results of a phase I dose-finding study of BVD-523 are included as a companion publication in this journal. See, Examples 17-24.


In the present invention, BVD-523 was shown to be a potent, highly selective, reversible, small molecule ATP-competitive inhibitor of ERK1/2 with in vitro and in vivo anticancer activity.


BVD-523 (ulixertinib) was identified and characterized as a novel, reversible, ATP-competitive ERK1/2 inhibitor with high potency and ERK1/2 selectivity. BVD-523 caused reduced proliferation and enhanced caspase activity, most notably in cells harboring MAPK (RAS-RAF-MEK) pathway mutations. In in vivo BRAFV600E xenograft studies, BVD-523 showed dose-dependent growth inhibition and tumor regressions. Interestingly, BVD-523 inhibited phosphorylation of target substrates despite increased phosphorylation of ERK1/2. BVD-523 also demonstrated antitumor activity in models of acquired resistance to single-agent and combination BRAF/MEK targeted therapy. Synergistic antiproliferative effects in a BRAFV600E-mutant melanoma cell line xenograph model were also demonstrated when BVD-523 was used in combination with BRAF inhibition. These studies suggest that BVD-523 holds promise as a treatment for ERK-dependent cancers, including those whose tumors have acquired resistance to other treatments targeting upstream nodes of the MAPK pathway.


Example 10
Discovery and Initial Characterization of a Novel ERK1/2 Inhibitor, BVD-523 (Ulixertinib)

Following extensive optimization of leads originally identified using a high-throughput, small-molecule screen (Aronov et al. 2009), a novel adenosine triphosphate (ATP)-competitive ERK1/2 inhibitor, BVD-523 (ulixertinib) was identified (FIG. 29 A). BVD-523 is a potent ERK inhibitor with a Ki of 0.04±0.02 nM against ERK2. It was shown to be a reversible, competitive inhibitor of ATP, as the IC50 values for ERK2 inhibition increased linearly with increasing ATP concentration (FIG. 29B and FIG. 29C). The IC50 remained nearly constant for incubation times minutes, suggesting rapid equilibrium and binding of BVD-523 with ERK2 (FIG. 29D). BVD-523 is also a tight-binding inhibitor of recombinant ERK1 (Rudolph et al. 2015), exhibiting a Ki of <0.3 nM.


Binding of BVD-523 to ERK2 was demonstrated using calorimetric studies and compared to data generated using the ERK inhibitors SCH772984 and pyrazolylpyrrole (Arovov et al. 2007). All compounds bound and stabilized inactive ERK2 with increasing concentration, as indicated by positive ΔTm values (FIG. 29E). The 10- to 15-degree change in ΔTm observed with BVD-523 and SCH-772984 is consistent with compounds that have low-nanomolar binding affinities (Fedorov et al. 2012). BVD-523 demonstrated a strong binding affinity to both phosphorylated active ERK2 (pERK2) and inactive ERK2 (FIG. 29F). A stronger affinity to pERK2 compared with inactive ERK2 was observed. BVD-523 did not interact with the negative control protein p38a MAP kinase (FIG. 29F).


BVD-523 demonstrated excellent ERK1/2 kinase selectivity based on biochemical counter-screens against 75 kinases in addition to ERK1 and ERK2. The ATP concentrations were approximately equal to the Km in all assays. Kinases inhibited to greater than 50% by 2 μM BVD-523 were retested to generate Ki values (or apparent Ki; Table 21). Twelve of the 14 kinases had a Ki of <1 μM. The selectivity of BVD-523 for ERK2 was >7000-fold for all kinases tested except ERK1, which was inhibited with a Ki of <0.3 nM (10-fold). Therefore, BVD-523 is a highly potent and selective inhibitor of ERK1/2.









TABLE 21







BVD-523 displays selectivity for ERK1 and ERK2 kinases.










Kinase
Ki (μM)














CDK1/cyclinB
0.07a



CDK2/cyclinA
0.36



CDK5/p35
0.09a



CDK6/cycinD3
0.09a



ERK1
0.0003



ERK2
0.00004



GSK3b
0.32



JNK2α
0.65a



JNK3
1.3



P38γ
0.45a



P38δ
0.24a



ROCKI
11.1



ROCKII
0.27a



RSK3
0.45








aApparent.




<50% inhibition at 2 μM: ABL, AKT3, AMPK, AUR1, AUR2, AXL, BLK, CAMKII, CAMKIV, CHK1, CHK2, CK1, CK2, CSK, EGFR, EPHB4, FES, FGFR3, FLT3, FYN, IGF1R, IKKα, IKKβ, IKKi, IRAK4, IRTK, ITK, JAK3, JNK1α1, KDR, LCK, LYN, cMET, MKK4, MKK6, MKK7β, MLK2, MSK1, MST2, NAK, NEK2, p38α, p38β, p70S6K, PAK2, PDGFRα, PDK1, PKA, PKCα, PKCβII, PKCγ, PKCi, PKCθ, PRAK, PRK2, cRAF, SGK, SRC, SYK, TAK1, TIE2, ZAP70






Example 11
BVD-523 Preferentially Inhibits Cellular Proliferation and Enhances Caspase-3/7 Activity In Vitro in Cancer Cell Lines with MAPK Pathway-Activating Mutations

BVD-523 cellular activity was assessed in a panel of approximately 1,000 cancer cell lines of various lineages and genetic backgrounds (FIG. 30A and Table 22). Cell lines were classified as MAPK wild type (wt) or mutant depending on the absence or presence of mutations in RAS family members and BRAF. Although some MAPK-wt cell lines were sensitive to BVD-523, generally BVD-523 inhibited proliferation preferentially in cells with MAPK pathway alterations.


Next, the growth and survival impact of BVD-523 treatment on sensitive cells was characterized. Fluorescence activated cell sorting (FACS) analysis was performed on BRAFV600E-mutant melanoma cell line UACC-62 following treatment with BVD-523 at 500 nM or 2000 nM for 24 hours. Treated cells were arrested in the G1 phase of the cell cycle in a concentration-dependent manner (FIG. 30B).


In addition, caspase-3/7 activity was analyzed as a measure of apoptosis in multiple human cancer cell lines. A concentration- and cell-line-dependent increase in caspase 3/7 was observed following treatment with BVD-523 for 72 hours (FIG. 30C). BVD-523 treatment resulted in pronounced caspase-3/7 induction in a subset of MAPK-activated cell lines harboring a BRAFV600 mutation (A375, WM266, and LS411N). This is consistent with earlier observations for preferential inhibition of proliferation by BVD-523 in MAPK pathway-mutant cancer cell lines (FIG. 30A).


To further characterize the mechanism of action and effects on signaling elicited by BVD-523, the levels of various effector and MAPK-related proteins were assessed in BVD-523-treated BRAFV600E-mutant A375 melanoma cells (FIG. 30D). Phospho-ERK1/2 levels increased in a concentration-dependent manner after 4 and 24 hours of BVD-523 treatment. Despite prominent concentration-dependent increases in pERK1/2 observed with 2 μM BVD-523 treatment, phosphorylation of the ERK1/2 target RSK1/2 was reduced at both 4 and 24 hours, which is consistent with sustained inhibition. Total protein levels of DUSP6, a distal marker of ERK1/2 activity, were also attenuated at 4 and 24 hours. Following 24 hours of treatment with BVD-523, the apoptotic marker BIM-EL increased in a dose-dependent manner, while cyclin D-1 and pRB was attenuated at 2 μM. All effects are consistent with on-target ERK1/2 inhibition.















TABLE 22













Viability ratio























Cell

Compound
Fitted
20
10
5
2.5
1.25
0.625
0.3125
0.15625
0.078125


Barcode
Organ
ID
Cell Line
No
MGH_IC50
uM
uM
uM
uM
uM
uM
uM
uM
uM
























026_8049_00277140
Biliary Tract
8049
ETK-1
456
3.525905
0.587
0.805
0.874
0.9304
0.8796
0.954
1.0285
1.094
0.9918


026_664_00277150
Biliary Tract
664
HuCCT1
456
3.600435
0.663
0.734
0.847
0.9661
0.9652
1.029
0.9656
1.0172
0.9981


026_653_00278500
Biliary Tract
653
EGI-1
456
4.229085
0.693
0.686
0.74
0.7843
0.8546
0.889
0.967
0.9286
0.9525


026_8204_00278540
Biliary Tract
8204
TGBC24TKB
456
5.609877
0.768
0.875
0.826
0.8122
0.8629
0.862
0.8909
0.9353
0.9353


026_8188_00293390
Biliary Tract
8188
TGBC1TKB
456
6.179372
0.915
0.929
0.913
0.9808
0.9201
1.144
1.0128
0.9048
0.9496


026_330_00278580
Bone
330
H-EMC-SS
456
0.038629
0.36
0.392
0.383
0.4615
0.437
0.566
0.7772
0.9442
0.9662


026_8047_00283120
Bone
8047
ES7
456
1.846677
0.515
0.521
0.539
0.5362
0.7569
0.769
0.8353
0.9371
0.9503


026_8053_00287650
Bone
8053
EW-13
456
2.197657
0.333
0.545
0.665
0.8165
0.9099
0.962
0.9571
0.9945
1.0406


026_8227_00288230
Bone
8227
CADO-ES1
456
2.29467
0.359
0.554
0.585
1.0389
0.9034
0.952
1.1264
1.2671
1.0023


026_8050_00279380
Bone
8050
EW-1
456
2.409222
0.487
0.555
0.593
0.6879
0.6908
0.788
0.8057
0.892
0.9331


026_306_00278530
Bone
306
SK-ES-1
456
2.4607
0.527
0.556
0.577
0.682
0.673
0.855
0.8706
0.8641
0.8867


026_305_00277180
Bone
305
U-2 OS
456
2.847932
0.145
0.599
0.657
0.7441
0.8231
0.793
0.8449
0.9969
0.8925


026_337_00283440
Bone
337
HuO9
456
2.916396
0.448
0.696
0.939
0.8026
0.8478
0.903
0.9796
0.8682
1.0954


26_8227_00304340
Bone
8227
CADO-ES1
456
2.975471
0.542
0.666
0.884
0.8971
0.9918
0.974
1.0247
1.0031
1.0728


026_8043_00283110
Bone
8043
ES1
456
2.981717
0.543
0.663
0.705
0.7865
0.811
0.835
0.7995
0.9278
0.8292


026_8142_00282550
Bone
8142
NOS-1
456
3.203574
0.547
0.775
0.825
0.892
0.7556
0.894
0.8477
1.1038
0.9881


026_8055_00290580
Bone
8055
EW-18
456
3.311765
0.638
0.688
0.718
1.1012
0.9293
0.993
1.0646
1.1078
1.0895


026_8058_00293350
Bone
8058
EW-3
456
3.365484
0.715
0.595
0.72
0.7195
0.8774
0.8
0.8628
0.9101
1.2148


026_339_00277160
Bone
339
NY
456
3.400937
0.59
0.789
0.875
0.9222
0.9594
0.975
0.933
1.1433
0.9637


026_8165_00287690
Bone
8165
SK-PN-DW
456
3.476926
0.621
0.812
0.933
0.9706
0.9188
0.991
1.0026
1.0012
1.0432


026_326_00282540
Bone
326
MHH-ES-1
456
3.524605
0.618
0.719
0.824
0.8235
0.8745
0.966
1.1187
1.0416
0.913


026_8048_00279370
Bone
8048
ES8
456
3.530755
0.572
0.698
0.765
0.8053
0.8255
0.912
0.931
0.9069
0.9095


026_331_00278590
Bone
331
HOS
456
3.602447
0.53
0.798
0.749
0.7609
0.8727
0.839
0.8786
0.8236
0.972


026_8045_00282660
Bone
8045
ESS
456
3.665641
0.704
0.653
0.874
0.8827
0.7407
0.913
0.8294
1.0585
1.162


026_8059_00283090
Bone
8059
EW-7
456
3.827217
0.662
0.72
0.76
0.831
0.8857
0.95
0.9309
0.9266
0.9963


026_8201_00282520
Bone
8201
ES3
456
3.982944
0.707
0.721
0.778
0.8414
0.8385
0.989
0.9588
1.0248
1.0261


026_8056_00314310
Bone
8056
EW-22
456
4.196343
0.701
0.827
0.819
0.8824
0.9413
0.894
0.9848
1.0221
1.1139


026_329_00282700
Bone
329
G-292 Clone
456
4.264519
0.705
0.918
0.893
0.949
1.0435
1.016
0.9814
0.9215
1.1209





A141B1













026_324_00278550
Bone
324
CAL-72
456
4.286956
0.731
0.942
0.942
0.9262
0.9863
0.966
0.9797
0.9547
1.0113


026_304_00283460
Bone
304
Saos-2
456
4.597501
0.742
0.784
0.9
0.8765
0.9306
0.926
0.9516
0.95
1.0352


026_325_00283060
Bone
325
CAL-78
456
4.650689
0.727
0.913
0.918
0.9149
0.8999
0.897
0.9065
1.0242
1.0181


026_1138_00278560
Bone
1138
CS1
456
4.765346
0.744
0.848
0.864
0.8601
0.8818
1.016
1.0005
0.9749
0.977


026_8162_00282560
Bone
8162
SJSA-1
456
4.867747
0.802
0.803
0.805
0.7765
0.762
0.974
1.0651
1.0412
1.0623


026_336_00283430
Bone
336
HuO-3N1
456
4.900372
0.724
0.86
0.806
0.8427
0.8308
0.87
0.8972
0.9772
1.0073


026_328_00278600
Bone
328
TC-71
456
5.117725
0.844
0.939
0.97
1.0221
0.9857
1.072
1.023
1.0842
1.0771


026_8054_00282530
Bone
8054
EW-16
456
5.180986
0.835
0.775
0.925
0.8021
0.8155
0.934
0.9339
1.058
1.1414


026_335_00308220
Bone
335
MG-63
456
5.257203
0.884
0.841
0.852
0.8745
1.0185
1.081
1.1007
1.0325
1.0709


026_1241_00283070
Bone
1241
CHSA8926
456
5.394244
0.883
0.851
0.947
0.9788
0.9327
1.019
1.0879
1.0294
1.119


026_8044_00279340
Bone
8044
ES4
456
6.158016
0.822
0.876
0.92
0.8612
0.8592
0.873
0.8969
0.9914
0.9632


026_8057_00283080
Bone
8057
EW-24
456
6.273162
0.927
0.899
0.97
0.9817
0.9704
1.012
0.9822
0.9596
0.9793


026_8051_00285230
Bone
8051
EW-11
456
6.340509
0.924
1.008
0.846
0.9309
1.047
0.868
0.9762
1.0834
1.048


026_8046_00279351
Bone
8046
ES6
456
6.745328
0.882
1.065
1.046
1.0203
1.0617
0.85
0.8881
1.0547
0.9578


026_8146_00285140
Brain
8146
ONS-76
456
1.017095
0.362
0.369
0.387
0.52
0.6146
0.733
0.8773
0.9176
1.1016


026_8009_00285111
Brain
8009
AM-38
456
2.859683
0.545
0.617
0.664
0.5881
0.5592
0.692
0.826
0.9522
1.078


026_8091_00285281
Brain
8091
KS-1
456
2.979142
0.617
0.59
0.62
0.7057
0.7844
0.875
0.9025
1.0584
1.1343


026_388_00285240
Brain
388
MOG-G-CCM
456
3.029922
0.505
0.754
0.852
0.977
0.9597
0.989
1.1211
1.0361
1.0747


026_352_00283150
Brain
352
LN-229
456
3.053877
0.552
0.647
0.662
0.7206
0.8119
0.932
0.9285
1.0381
1.0748


026_8214_00290680
Brain
8214
YH-13
456
3.068585
0.558
0.628
0.773
1.0443
0.9614
1.113
1.1139
1.093
1.2619


026_8214_00288290
Brain
8214
YH-13
456
3.531592
0.627
0.651
0.866
0.8387
0.8073
0.922
1.077
1.0619
1.1182


026_358_00293700
Brain
358
D283 Med
456
3.551231
0.64
0.743
0.916
0.9078
0.9464
0.928
0.871
0.9767
1.4204


026_8061_00290830
Brain
8061
GB-1
456
3.686496
0.613
0.692
0.809
0.8255
0.8977
0.877
0.9922
0.9416
0.8923


026_374_00283180
Brain
374
U-251 MG
456
3.933399
0.654
0.733
0.861
0.8164
0.8981
0.891
0.9222
0.9976
1.1342


026_343_00283160
Brain
343
PFSK-1
456
3.963833
0.626
0.904
1.007
1.0229
0.934
1.078
1.0411
1.0084
1.052


026_393_00283190
Brain
393
YKG-1
456
3.987729
0.646
0.714
0.77
0.8178
0.8374
0.848
0.953
0.8805
1.0209


026_8028_00287630
Brain
8028
D-263MG
456
4.157483
0.662
0.709
0.734
0.7813
0.8341
0.839
0.9023
0.9333
1.0435


026_379_00283140
Brain
379
GAMG
456
4.214093
0.681
0.701
0.829
0.8043
0.8412
0.83
0.9322
0.8908
1.046


026_8019_00293320
Brain
8019
CAS-1
456
4.309856
0.732
0.772
0.825
0.9222
0.9783
1.227
0.8865
0.8407
1.1628


026_8001_00285100
Brain
8001
8-MG-BA
456
4.345495
0.688
0.845
0.88
0.8958
0.9285
0.912
0.9148
0.9398
1.07


026_351_00283450
Brain
351
LN-18
456
4.481815
0.685
0.822
0.862
0.8746
0.8966
0.902
0.9022
0.9311
0.9325


026_357_00283410
Brain
357
H4
456
4.481909
0.721
0.808
0.876
0.858
0.8822
0.94
1.0232
0.9287
1.0614


026_8085_00293731
Brain
8085
KINGS-1
456
4.48888
0.797
0.781
0.82
0.9645
0.9641
1.015
0.9981
1.0442
0.974


026_350_00284910
Brain
350
M059J
456
4.537622
0.723
0.834
0.869
0.8888
0.9473
0.909
0.9144
1.0191
1.0818


026_8015_00308070
Brain
8015
Becker
456
4.548091
0.696
0.814
0.876
0.8121
0.825
0.889
0.917
0.9113
1.0138


026_8160_00287680
Brain
8160
SF539
456
4.738405
0.726
0.919
0.827
0.8875
0.9392
0.934
0.952
1.0525
0.9285


026_8159_00287670
Brain
8159
SF268
456
4.804304
0.786
0.825
0.923
0.9225
0.9772
0.99
0.978
0.9754
0.9699


026_359_00283100
Brain
359
Daoy
456
4.81575
0.683
0.74
0.796
0.8102
0.876
0.896
0.9135
0.9254
0.9257


026_8217_00290890
Brain
8217
SK-MG-1
456
4.83361
0.725
0.784
0.83
0.844
0.8849
0.901
0.9119
0.9353
0.9859


026_342_00285160
Brain
342
SW 1783
456
4.84471
0.796
0.905
0.896
0.9349
1.0662
0.935
1.0347
1.0148
1.08


026_8029_00288240
Brain
8029
D-336MG
456
4.925588
0.792
0.892
0.997
0.8872
0.9556
0.944
1.105
1.0724
1.1057


026_8030_00295500
Brain
8030
D-392MG
456
4.966575
0.791
0.866
0.824
0.9331
0.8638
1.022
0.9531
0.9688
1.0531


026_8089_00287440
Brain
8089
KNS-81-FD
456
5.077406
0.804
0.89
0.869
0.8138
0.8421
1.049
1.0747
0.9317
1.1222


026_8138_00285290
Brain
8138
NMC-G1
456
5.086457
0.771
0.817
0.763
0.762
0.8138
0.887
0.968
1.0104
1.049


026_8139_00285130
Brain
8139
no-10
456
5.147267
0.824
0.888
0.928
0.9069
0.9436
1.031
0.943
1.05
1.0543


026_8083_00293720
Brain
8083
KALS-1
456
5.203248
0.817
0.765
0.902
0.9843
0.9376
0.915
0.9382
1.0116
0.9496


026_378_00284880
Brain
378
DK-MG
456
5.2953
0.789
0.757
0.713
0.7178
0.7297
0.849
0.8425
0.9101
1.0114


026_383_00284900
Brain
382
LN-405
456
5.313289
0.839
0.886
0.901
0.937
0.8868
1.041
0.949
1.0816
1.0986


026_8032_00293340
Brain
8032
D-542MG
456
5.342096
0.822
0.856
0.927
0.9108
0.8977
0.934
0.9191
0.9743
0.9895


026_344_00282720
Brain
344
LNZTA3WT4
456
5.43481
0.777
1.136
0.931
0.9386
0.9371
1.018
1.0441
1.0001
0.9944


026_8167_00290910
Brain
8167
SNB75
456
5.474524
0.76
0.772
0.83
0.8023
0.8147
1.01
0.8804
1.0523
0.9382


026_8087_00285270
Brain
8087
KNS-42
456
5.484622
0.862
0.858
0.846
0.8777
0.9301
0.972
0.9923
1.0701
1.0135


026_354_00287481
Brain
354
U-87 MG
456
5.588679
0.851
0.949
0.942
0.9605
0.9939
1.004
1.0222
0.9964
1.0855


026_8140_00285300
Brain
8140
no-11
456
5.608459
0.844
0.885
0.896
0.959
0.9411
0.893
0.9627
1.0352
0.9432


026_8221_00284860
Brain
8221
D-423MG
456
5.731372
0.807
0.783
0.798
0.8469
0.8833
0.945
0.9877
0.9131
0.9215


026_348_00283400
Brain
348
DBTRG-05MG
456
5.749405
0.792
0.75
0.763
0.7919
0.7917
0.856
0.9393
0.9013
0.9922


026_341_00285310
Brain
341
SW 1088
456
5.805148
0.869
0.907
0.895
0.8893
0.9105
0.919
0.966
0.8961
1.0957


026_356_00283420
Brain
356
Hs 683
456
5.858982
0.841
0.993
0.888
0.8789
0.8908
1.04
0.8743
0.906
1.058


026_8031_00287640
Brain
8031
D-502MG
456
5.99897
0.825
0.819
0.771
0.7649
0.8658
0.834
0.9457
0.9922
0.9572


026_8224_00284870
Brain
8224
D-566MG
456
6.026403
0.839
0.84
0.858
0.8841
0.9252
0.941
0.968
0.9815
0.9816


026_389_00284920
Brain
389
MOG-G-UVW
456
6.074777
0.861
0.876
0.879
0.9129
0.9004
0.902
1.0597
0.9108
1.0304


026_341_00283470
Brain
341
SW1088
456
6.105387
0.913
0.89
0.897
0.897
0.9463
0.931
0.9486
0.9506
1.1024


026_375_00284850
Brain
375
42-MG-BA
456
6.106423
0.896
0.892
0.932
0.944
0.9633
0.976
0.9735
0.9871
1.0285


026_1122_00283170
Brain
1122
SF-295
456
6.112956
0.879
0.909
0.909
0.9301
0.9215
0.946
0.9199
0.9433
1.0329


026_8158_00290650
Brain
8158
SF126
456
6.158755
0.86
0.97
1
1.0676
1.0025
1.187
0.9851
0.9627
1.1324


026_340_00285250
Brain
340
CCF-STTG1
456
6.170298
0.851
0.911
0.916
0.9011
0.9748
0.919
0.9109
0.9323
0.9837


026_380_00284890
Brain
380
GMS-10
456
6.23472
0.842
0.885
0.853
0.8466
0.8914
0.914
0.8882
1.0019
1.0545


026_354_00290361
Brain
354
U-87 MG
456
6.315816
0.93
0.874
0.977
0.9346
0.9336
1.084
0.9295
1.062
1.073


026_8063_00290841
Brain
8063
GI-1
456
6.443002
0.809
0.877
0.913
0.9018
0.9184
0.86
0.9241
0.9072
0.9709


026_8027_00293330
Brain
8027
D-247MG
456
6.453915
0.928
0.905
0.908
0.8398
0.8592
0.911
0.9463
0.9529
0.9044


026_346_00283390
Brain
346
A172
456
6.640511
0.941
0.953
0.995
1.0208
0.9242
1.026
1.0141
1.0236
1.0356


026_8089_00291170
Brain
8089
KNS-81-FD
456
7.067458
0.854
0.823
0.854
0.8437
0.8524
0.889
0.8917
0.9075
0.9111


026_355_00285180
Brain
355
U-118 MG
456
7.408088
0.965
1.005
0.945
0.9352
0.9307
0.932
0.9407
0.945
0.9851


026_347_00282740
Brain
347
T98G
456
7.802123
0.986
1.098
0.951
1.0602
0.9957
1.038
1.0462
0.9753
0.982


026_417_00271110
Breast
417
DU4475
456
−3.0044
0.119
0.118
0.124
0.1202
0.1235
0.121
0.164
0.4789
0.6922


26_465_00271670
Breast
465
MRK-nu-1
456
1.744742
0.115
0.398
0.572
0.6893
0.7807
0.868
0.921
0.9463
1.1175


026_438_00273540
Breast
438
HCC1599
456
1.968855
0.352
0.459
0.617
0.7517
0.8021
0.899
0.9102
0.9757
1.0216


026_435_00271290
Breast
435
HCC1187
456
2.132259
0.375
0.482
0.801
0.7466
0.7917
0.794
0.9164
0.9352
0.9707


026_403_00271400
Breast
403
MCF7
456
2.857648
0.493
0.634
0.765
0.8761
0.9706
0.973
1.0249
1.0247
1.0456


026_401_00273450
Breast
401
MDA-MB-468
456
3.05753
0.415
0.718
0.931
0.9526
0.909
0.954
0.9512
1.0282
0.9601


26_451_00271640
Breast
451
CAL-85-1
456
3.06898
0.489
0.695
0.808
0.7646
0.8147
0.885
0.8459
1.0885
0.9906


026_404_00273430
Breast
404
MDA-MB-231
456
3.086092
0.483
0.731
0.783
0.824
0.8358
0.874
0.9446
0.9609
1.0599


026_418_00271550
Breast
418
Hs 578T
456
3.125956
0.071
0.614
0.832
0.7916
0.8611
0.836
0.9569
0.9556
1.0186


026_402_00272120
Breast
402
CAMA-1
456
3.166443
0.55
0.636
0.773
0.8152
0.9017
0.886
0.906
0.9417
0.9695


026_426_00274200
Breast
426
HCC1569
456
3.228782
0.571
0.713
0.945
0.9056
0.9414
0.938
0.9814
1.028
1.0046


026_431_00271130
Breast
431
HCC1806
456
3.337319
0.566
0.672
0.68
0.6852
0.6987
0.765
0.8378
1.0081
1.1468


026_414_00271900
Breast
414
AU565
456
3.409308
0.533
0.816
0.949
0.9831
0.9841
0.924
0.9729
0.9876
1.1475


026_452_00272130
Breast
452
COLO-824
456
3.645131
0.358
0.743
0.843
0.9519
0.9643
0.904
0.9021
1.0288
0.9665


026_416_00271360
Breast
416
BT-549
456
3.723874
0.659
0.818
0.911
0.9492
0.9446
0.965
0.9707
0.9785
1.0314


026_8144_00274240
Breast
8144
OCUB-M
456
3.727884
0.44
0.801
0.89
0.9127
1.0139
1.046
0.9729
0.96
1.0167


026_432_00271960
Breast
432
HCC70
456
3.73179
0.605
0.733
0.855
0.8647
0.8214
0.887
0.9582
0.9394
1.1987


026_457_00273420
Breast
457
EVSA-T
456
3.968951
0.686
0.879
0.927
0.9385
0.9505
0.975
0.9713
0.9606
1.0214


026_466_00274370
Breast
466
YMB-1-E
456
3.997753
0.654
0.836
0.87
0.9113
0.9082
0.908
0.9623
1.0457
0.9738


026_441_00285120
Breast
441
HCC2157
456
3.997874
0.474
1.044
0.849
0.8244
0.6122
0.948
1.0739
0.6695
1.0405


026_443_00271990
Breast
443
MDA-MB-330
456
4.004084
0.601
0.92
0.94
0.9085
0.9663
0.971
0.9817
0.9257
1.0607


026_436_00271300
Breast
436
HCC1395
456
4.036641
0.703
0.897
0.946
0.9395
1.0136
1.033
1.0207
1.0407
1.1296


026_412_00277190
Breast
412
UACC-893
456
4.234383
0.421
0.859
0.854
0.8448
0.9188
0.999
0.9512
1.0422
0.9971


026_450_00271390
Breast
450
CAL-51
456
4.319545
0.678
0.725
0.783
0.8043
0.8395
0.899
0.9313
0.9642
1.0975


026_449_00271380
Breast
449
CAL-148
456
4.389344
0.747
0.676
1.08
0.9571
0.7093
0.888
0.981
0.8213
1.2196


026_434_00271920
Breast
434
HCC1143
456
4.464516
0.726
0.808
0.808
0.822
0.8993
0.923
0.919
0.949
1.1427


026_433_00276270
Breast
433
HCC202
456
4.571252
0.686
0.9
0.944
0.8549
0.8115
0.943
0.972
0.9241
0.9618


026_422_00274230
Breast
422
MDA-MB-175-VII
456
4.594595
0.7
0.73
0.74
0.7666
0.8545
0.848
0.9155
0.9541
0.9487


026_461_00272170
Breast
461
MFM-223
456
4.656681
0.787
0.875
0.908
0.9465
0.988
1.047
1.0015
1.1431
1.0159


026_427_00271330
Breast
427
MDA-MB-453
456
4.669025
0.795
0.819
0.921
0.9998
0.9757
0.998
1.0349
1.0264
1.1651


026_448_00271370
Breast
448
CAL-120
456
4.779687
0.744
0.746
0.796
0.8032
0.8728
0.85
0.9852
1.0071
1.0287


026_411_00271420
Breast
411
UACC-812
456
5.072094
0.82
0.894
0.873
0.9564
0.9958
0.944
0.9931
1.0326
0.9659


026_442_00273480
Breast
442
HCC2218
456
5.225292
0.614
0.923
0.963
1.0597
1.042
1.043
1.0714
1.0498
1.0318


026_398_00272150
Breast
398
HCC1428
456
5.256241
0.85
0.899
1.013
0.8915
0.9851
0.983
0.9959
0.9937
1.0331


026_464_00308490
Breast
464
T47D
456
5.26439
0.825
0.853
0.869
0.8588
0.823
0.978
0.9397
0.9562
0.968


026_400_00273440
Breast
400
MDA-MB-436
456
5.286367
0.725
0.844
0.848
0.8326
0.8721
0.851
0.8881
0.9805
0.933


026_437_00280161
Breast
437
HCC1500
456
5.288806
0.796
0.982
0.913
0.8847
0.9397
1.088
0.8523
0.9109
0.9883


026_440_00271950
Breast
440
HCC1954
456
5.303093
0.807
0.813
0.885
0.8155
0.8463
0.861
1.0199
1.0209
0.9481


026_413_00271930
Breast
413
HCC1419
456
5.337084
0.839
0.926
0.932
0.9634
0.9633
0.941
0.9595
0.9516
1.1518


026_410_00272180
Breast
410
ZR-75-30
456
5.373081
0.83
0.857
0.88
0.8529
0.9183
0.913
0.911
1.03
0.9685


026_439_00271940
Breast
439
HCC1937
456
5.44243
0.841
0.952
0.975
1.0253
0.9632
0.953
1.0302
1.0262
1.0774


026_408_00271350
Breast
408
BT-20
456
5.735872
0.871
0.955
0.93
0.9913
0.9764
0.972
1.0674
0.9818
1.1818


026_399_00272160
Breast
399
MDA-MB-415
456
5.879088
0.884
0.875
0.885
0.8851
0.9175
0.914
0.9179
0.9049
0.9735


026_458_00274220
Breast
458
HDQ-P1
456
6.259493
0.84
1.072
1.136
1.0763
1.0797
1.042
1.0437
1.0231
1.0073


026_397_00274350
Breast
397
HCC38
456
6.744219
0.874
1.053
1.023
1.0222
0.9856
0.93
0.9274
0.9402
0.9941


026_405_00274360
Breast
405
MDA-MB-361
456
6.792889
0.935
0.959
0.987
0.9819
0.9119
0.921
0.9597
0.998
0.9922


026_425_00280231
Breast
425
MDA-MB-157
456
7.000504
0.906
1.069
1.05
0.9597
0.9229
0.966
0.9422
0.9712
0.9545


026_454_00272140
Breast
454
EFM-192A
456
7.097342
0.942
1.032
1.041
1.0545
0.9812
0.979
1.0186
1.0191
0.9742


026_420_00271541
Breast
420
BT-474
456
7.458914
0.191
1.089
1.053
1.0824
1.0008
0.955
0.9764
0.9678
1.0149


026_453_00273410
Breast
453
EFM-19
456
8.207256
1.096
1.286
1.208
1.1112
1.0544
1.042
1.0064
1.0474
1.0572


026_415_00316440
Breast
415
BT-483
456
8.21654
1.148
1.275
1.181
1.1462
1.089
1.147
1.0671
1.0911
1.1123


026_8176_00316650
Cervix
8176
TC-YIK
456
0.842618
0.29
0.416
0.488
0.5211
0.5993
0.669
0.7672
0.7877
1.0572


026_479_00264920
Cervix
479
HT-3
456
1.420025
0.257
0.608
0.574
0.5844
0.5901
0.637
0.8649
0.8189
0.8617


026_478_00271910
Cervix
478
C-33 A
456
2.72591
0.472
0.615
0.658
0.6776
0.6753
0.734
0.7964
0.8383
0.9143


026_478_00269410
Cervix
478
C-33 A
456
2.976483
0.445
0.701
0.714
0.731
0.8172
0.771
0.9038
0.852
0.9634


026_493_00268830
Cervix
493
ME-180
456
3.07379
0.509
0.667
0.695
0.7355
0.6828
0.732
0.7953
0.9097
1.0456


026_476_00269050
Cervix
476
C-4 I
456
3.232632
0.508
0.792
0.857
0.8645
0.8671
0.933
1.0078
1.0484
1.1636


026_8145_00271140
Cervix
8145
OMC-1
456
3.295968
0.531
0.786
0.84
0.8546
0.9307
0.911
1.0261
1.0441
1.0392


026_484_00263710
Cervix
484
Ca Ski
456
3.639931
0.327
0.715
0.879
0.8811
0.8284
0.817
0.9599
1.0361
1.165


026_469_00264610
Cervix
469
HeLa
456
3.981495
0.311
0.783
0.933
0.9784
0.9807
0.982
0.9321
0.9429
0.9946


026_493_00262480
Cervix
493
ME-180
456
4.007923
0.639
0.799
0.885
0.9474
0.9337
0.873
0.9457
0.8694
0.8949


026_474_00269100
Cervix
474
SiHa
456
4.596545
0.742
0.846
0.832
0.8807
0.9276
0.898
1.0004
0.9967
1.1646


026_482_00262520
Cervix
482
SISO
456
5.313141
0.851
0.946
0.96
0.9752
0.9888
0.276
0.975
0.947
0.9669


026_482_00274250
Cervix
482
SISO
456
5.375837
0.842
0.881
0.887
0.9541
0.9605
0.96
0.9679
1.044
1.0481


026_482_00269740
Cervix
482
SISO
456
5.709731
0.838
0.89
0.925
0.9202
0.9445
0.931
0.9609
0.9695
0.9938


026_468_00264600
Cervix
468
DoTc2 4510
456
5.749229
0.363
0.92
0.961
0.9796
0.9907
0.984
1.01
0.9525
0.9858


026_473_00264650
Cervix
473
SW756
456
5.953892
0.162
0.868
0.813
0.7938
0.8104
0.779
0.9163
0.8951
0.9568


026_491_00264830
Cervix
491
SKG-IIIa
456
6.261878
0.721
1.002
1.008
1.007
1.0125
0.97
1.0049
0.9721
0.9931


026_476_00264900
Cervix
476
C-4 I
456
6.792994
0.225
0.991
0.994
0.9083
0.8797
0.89
0.982
0.9123
0.9144


026_474_00264930
Cervix
474
SiHa
456
7.505839
0.532
0.824
0.865
0.9092
0.9029
0.879
0.8904
0.8746
0.8785


026_472_00264630
Cervix
472
MS751
456
7.679336
1.023
0.945
0.949
0.9806
0.9744
0.979
0.9915
0.9775
0.9824


026_8180_00276230
Esophagus
8180
TE-15
456
0.823778
0.313
0.365
0.448
0.4963
0.618
0.64
0.8902
0.6859
1.0361


026_502_00276550
Esophagus
502
KYSE-450
456
1.219587
0.422
0.41
0.448
0.5484
0.5334
0.703
0.7332
0.8892
0.853


026_497_00274050
Esophagus
497
KYSE-150
456
1.304746
0.328
0.402
0.467
0.567
0.6585
0.801
0.8957
0.9976
0.9719


026_8252_00276570
Esophagus
8252
OACp4C
456
1.678468
0.101
0.3
0.567
0.6503
0.7826
0.861
0.8531
0.9243
0.9446


026_496_00276530
Esophagus
496
KYSE-140
456
2.209734
0.522
0.516
0.476
0.5824
0.6741
0.815
0.8515
0.806
0.8896


026_8233_00278570
Esophagus
8233
ESO26
456
2.595405
0.493
0.568
0.679
0.7293
0.7791
0.852
0.8801
1.0449
0.8251


026_8184_00282680
Esophagus
8184
TE-6
456
2.946928
1.152
0.677
0.704
0.6755
0.7901
0.89
1.1989
1.0724
0.9825


026_8277_00276670
Esophagus
8277
TE-4
456
3.072573
0.518
0.605
0.768
0.8018
0.8549
0.883
0.9093
0.8952
0.9579


026_506_00277170
Esophagus
506
OE19
456
3.143883
0.544
0.752
0.743
0.8799
1.0437
0.937
1.0332
1.0004
1.0701


026_8179_00276220
Esophagus
8179
TE-12
456
3.163617
0.183
0.742
0.633
0.6476
0.7356
0.839
0.7964
0.8189
0.8318


026_8185_00276250
Esophagus
8185
TE-8
456
3.50176
0.201
0.606
0.658
0.7374
0.6587
0.744
0.775
0.681
0.9258


026_8184_00293680
Esophagus
8184
TE-6
456
3.545508
0.552
0.767
0.935
0.8745
0.8626
0.742
1.0239
0.863
0.9232


026_8178_00280260
Esophagus
8178
TE-10
456
3.804003
0.664
0.735
0.78
0.9124
0.8781
1.01
1.0331
0.9777
1.0127


026_499_00276630
Esophagus
499
KYSE-270
456
4.027681
0.678
0.727
0.767
0.7928
0.8774
0.984
0.9911
1.0386
1.0007


026_509_00276620
Esophagus
509
KYSE-220
456
4.075564
0.637
0.656
0.682
0.7368
0.7969
0.844
0.873
0.9181
0.9229


026_8235_00276520
Esophagus
8235
FLO-1
456
4.100409
0.604
0.732
0.778
0.7882
0.8071
0.864
0.8729
0.8842
0.9483


026_8251_00276640
Esophagus
8251
OACM5-1
456
4.181038
0.673
0.784
0.878
0.8883
0.9366
0.926
0.9214
0.9309
0.9714


026_8186_00282690
Esophagus
8186
TE-9
456
4.291684
0.689
0.795
0.742
0.8146
0.856
0.846
1.0123
0.8588
1.0654


026_495_00274190
Esophagus
495
COLO-680N
456
4.332573
0.742
0.818
0.865
0.9122
0.97
0.96
1.1262
0.9684
1.0444


026_510_00273560
Esophagus
510
KYSE-50
456
4.431288
0.658
0.743
0.781
0.8044
0.8395
0.815
0.8665
0.9009
1.0802


026_8186_00292740
Esophagus
8186
TE-9
456
4.438695
0.739
0.769
0.893
0.8667
0.8573
0.944
1.0623
1.0025
1.1458


026_503_00274070
Esophagus
503
KYSE-510
456
4.484808
0.731
0.796
0.816
0.8942
0.9487
0.912
0.9785
1.0104
1.0221


026_504_00276560
Esophagus
504
KYSE-520
456
4.773857
0.716
0.731
0.748
0.7768
0.8124
0.867
0.9459
0.995
0.9576


026_8208_00276600
Esophagus
8208
HCE-4
456
4.88732
0.748
0.785
0.808
0.8645
0.9033
0.954
0.9197
0.9231
0.9878


026_512_00274080
Esophagus
512
T.T
456
4.943912
0.781
0.839
0.89
0.9002
0.9769
0.929
0.9845
0.9744
1.0152


026_8268_00276650
Esophagus
8268
SK-GT-4
456
5.079273
0.835
0.788
0.758
0.735
0.7503
0.833
0.9063
0.9163
0.972


026_505_00274210
Esophagus
505
KYSE-70
456
5.137973
0.794
0.857
0.892
0.8943
0.9411
0.957
0.9493
0.9907
1.0431


026_508_00278520
Esophagus
508
OE33
456
5.424479
0.701
0.81
0.783
0.7873
0.7763
0.833
0.8596
0.903
0.9287


026_498_00276540
Esophagus
498
KYSE-180
456
5.533652
0.84
0.853
0.898
0.9109
0.9353
0.924
0.9336
0.9199
0.942


026_8202_00276660
Esophagus
8202
TE-11
456
5.740526
0.822
0.845
0.848
0.8684
0.8821
0.913
0.9297
0.9627
1.0605


026_8039_00276580
Esophagus
8039
EC-GI-10
456
5.844841
0.878
0.905
0.892
0.951
0.9277
0.926
0.9555
1.04
1.0068


026_501_00274060
Esophagus
501
KYSE-410
456
6.135532
0.762
0.836
0.846
0.8398
0.8691
0.887
0.9278
0.9729
0.9854


026_8246_00276610
Esophagus
8246
KYAE-1
456
6.1525
0.887
0.93
0.92
0.9326
0.9185
0.978
0.97
0.9663
0.9315


026_507_00278510
Esophagus
507
OE21
456
6.23551
0.922
0.838
0.875
0.7771
0.8079
0.985
0.9753
0.9667
0.9919


026_8183_00276240
Esophagus
8183
TE-5
456
6.777236
0.111
1.028
0.936
1.0341
1.0898
0.876
0.8843
0.9699
0.8561


026_8177_00282670
Esophagus
8177
TE-1
456
7.848711
1.022
1.1
0.912
1.0973
1.0839
1.065
1.0874
1.0775
1.0749


026_545_00260020
Head & Neck
545
DOK
456
−0.22061
0.308
0.451
0.33
0.4014
0.4436
0.534
0.6634
0.7589
0.8693


026_1217_00255750
Head & Neck
1217
H3118
456
0.314816
0.254
0.413
0.453
0.4692
0.5199
0.565
0.691
0.6788
0.7738


026_526_00308740
Head & Neck
526
PCI-4B
456
1.887412
0.418
0.409
0.489
0.7595
0.7429
0.873
0.9067
0.918
1.0403


026_530_00260620
Head & Neck
530
PCI-30
456
1.98819
0.142
0.356
0.628
0.7119
0.7851
0.825
0.9139
0.8747
0.8098


026_552_00252890
Head & Neck
552
SAT
456
2.534279
0.382
0.613
0.727
0.8554
0.7778
0.977
0.8474
0.7957
0.9605


026_550_00258980
Head & Neck
550
SCC-4
456
2.544916
0.464
0.564
0.904
0.7519
0.7827
0.709
0.7715
0.8596
0.9574


026_1224_00256200
Head & Neck
1224
SCC-9
456
2.68588
0.466
0.633
0.641
0.6635
0.6231
0.758
0.8287
0.8854
0.9263


026_1223_00259190
Head & Neck
1223
SCC-25
456
2.934793
0.193
0.664
0.718
0.8957
0.937
0.932
1.0111
0.988
1.0055


026_548_00261030
Head & Neck
548
RPMI 2650
456
3.095229
0.489
0.696
0.761
0.8664
0.8685
0.911
0.9177
0.9218
0.9624


026_517_00308680
Head & Neck
517
JHU-011
456
3.112112
0.536
0.616
0.696
0.7845
0.8433
0.813
0.9157
0.9495
1.0827


026_8011_00257080
Head & Neck
8011
BB30-HNC
456
3.217966
0.541
0.677
0.734
0.7445
0.7909
0.917
0.9622
0.9832
1.0203


026_553_00259140
Head & Neck
553
OSC-20
456
3.378306
0.587
0.751
0.792
0.8761
0.9722
0.983
1.0097
0.974
0.999


026_556_00257220
Head & Neck
556
SKN-3
456
3.392608
0.207
0.626
0.805
0.7174
0.6353
0.718
0.757
0.8593
0.8383


026_536_00256080
Head & Neck
536
BHY
456
3.443799
0.593
0.821
0.877
0.8931
0.9405
1.049
1.0289
0.9991
1.0281


026_561_00257110
Head & Neck
561
Ca9-22
456
3.710495
0.634
0.867
0.849
0.916
0.9493
0.99
1.0155
1.0225
1.0222


026_532_00308750
Head & Neck
532
PCI-6A
456
3.742916
0.628
0.684
0.811
0.8452
0.8862
0.945
0.9298
0.9056
0.9974


026_8012_00266550
Head & Neck
8012
BB49-HNC
456
3.77782
0.46
0.775
0.9
0.8967
0.924
0.968
0.9717
1.0116
0.9946


026_8100_00256170
Head & Neck
8100
LB771-HNC
456
3.926882
0.701
0.899
0.929
0.9987
0.9867
0.989
1.0145
0.9621
0.9588


026_1222_00253030
Head & Neck
1222
SCC-15
456
4.189701
0.411
0.772
0.855
0.8291
0.7747
1.02
0.8664
0.932
0.9717


026_533_00260900
Head & Neck
533
PCI-15A
456
4.236361
1.325
1.15
0.832
0.8691
0.8188
0.863
0.9549
1.0427
1.0471


026_547_00314270
Head & Neck
547
KOSC-2 cl3-43
456
4.563275
0.708
0.872
0.897
0.9
0.7378
0.941
1.0131
0.9825
0.9292


026_544_00256140
Head & Neck
544
Detriot 562
456
4.601961
0.746
0.964
0.951
0.9801
0.9656
0.961
0.9765
0.9793
0.9061


026_543_00256100
Head & Neck
543
BICR 78
456
4.851894
0.728
0.818
0.868
0.8349
0.9283
0.925
0.9696
0.966
0.9649


026_537_00256120
Head & Neck
537
CAL-33
456
5.580216
0.834
0.892
0.921
0.9097
0.9511
0.935
0.9977
1.0062
0.9837


026_549_00256220
Head & Neck
549
HO-1-N-1
456
5.63511
0.866
0.873
0.883
0.8726
0.8907
0.97
0.987
0.9898
1.0714


026_557_00259180
Head & Neck
557
SAS
456
6.035072
0.913
0.97
0.967
0.9738
0.9866
1.043
1.0896
1.0407
1.0277


026_534_00256110
Head & Neck
534
CAL 27
456
6.045151
0.85
0.904
0.912
0.9312
0.925
0.939
0.9758
0.9901
0.9927


026_542_00269190
Head & Neck
542
BICR 31
456
6.045414
0.903
0.908
0.952
0.9408
0.977
0.97
0.9966
1.0002
1.0269


026_530_00262500
Head & Neck
530
PCI-30
456
6.119674
0.884
0.955
1.145
0.9682
1.009
0.988
0.9261
1.0121
0.9861


026_540_00258490
Head & Neck
540
BICR 10
456
6.128463
0.839
1.048
1.049
1.0556
1.0464
1.041
1.0301
0.974
0.9953


026_541_00256090
Head & Neck
541
BICR 22
456
6.156446
0.828
1.076
1.058
0.9602
1.0898
1.064
1.0874
0.9689
1.0462


026_8003_00263440
Head & Neck
8003
A253
456
6.291179
0.877
0.857
0.859
0.8594
0.9753
0.982
0.9985
0.9367
0.969


026_535_00256160
Head & Neck
535
FaDu
456
6.303565
0.841
1.063
1.091
1.0795
1.0793
1.034
1.0404
1.0191
1.0095


026_554_00257210
Head & Neck
554
OSC-19
456
6.322489
0.938
0.942
0.914
0.9247
0.9682
1.004
1.0285
1.0504
1.0506


026_559_00256250
Head & Neck
559
HSC-3
456
6.797258
0.909
1.024
1.057
1.0632
1.0572
1.029
1.0059
0.9701
0.9782


026_8071_00256760
Head & Neck
8071
HCE-T
456
6.917353
0.576
1.146
1.274
1.3514
1.1688
1.173
1.0336
1.1999
0.8849


026_521_00257180
Head & Neck
521
JHU-022
456
7.049785
0.896
0.846
0.901
0.8757
0.9278
0.886
0.9103
0.9436
0.9699


026_555_00256270
Head & Neck
555
KON
456
7.114386
0.946
0.982
0.977
0.9826
0.9957
0.96
0.9991
0.961
0.9207


026_538_00258510
Head & Neck
538
HN
456
7.118392
0.947
1.007
0.984
1.0014
1.0052
0.998
1.0105
0.9648
0.9952


026_546_00259150
Head & Neck
546
PE/CA-PJ15
456
7.26219
0.96
0.963
0.931
0.9179
0.9698
0.969
0.9884
1.006
0.9974


026_560_00256260
Head & Neck
560
HSC-4
456
7.41962
1.005
0.994
1.003
0.9486
1.2114
0.897
0.9756
0.9433
0.9255


026_551_00259130
Head & Neck
551
HO-1-u-1
456
7.903602
0.999
1.037
1.039
1.0722
1.0616
1.067
1.0655
1.0038
0.9405


026_558_00256240
Head & Neck
558
HSC-2
456
8.185707
1.148
1.077
0.985
1.1269
1.0034
1.093
0.9608
0.9252
0.9888


026_531_00258970
Head & Neck
531
PCI-38
456
8.493869
1.046
1.067
1.063
1.0751
1.0712
0.965
1.0236
1.0421
0.9848


026_570_00293670
Intestine
570
SK-CO-1
456
−0.30187
0.268
0.258
0.267
0.2555
0.3743
0.418
0.7306
0.9824
0.9276


026_8153_00295901
Intestine
8153
RKO
456
0.044041
0.222
0.197
0.246
0.3161
0.4612
0.693
0.7818
0.9061
1.1131


18
Intestine
586
COLO 205
456
0.350012
0.083
0.182
0.268
0.3978
0.5206
0.706
0.8518
0.9472
0.9745


026_582_00295550
Intestine
582
LoVo
456
0.399717
0.325
0.396
0.385
0.4168
0.4097
0.533
0.75
0.8239
0.9276


026_8108_00298530
Intestine
8108
LS-513
456
0.423432
0.094
0.146
0.195
0.2527
0.5673
0.876
1.1755
1.0179
1.1926


026_8274_00258540
Intestine
8274
SNU-61
456
0.467862
0.432
0.599
0.539
0.5369
0.5735
0.603
0.7283
0.7462
0.9243


026_8136_00260060
Intestine
8136
NCI-H747
456
0.578701
0.356
0.465
0.488
0.5338
0.5471
0.613
0.7238
0.8107
0.9473


026_574_00298390
Intestine
574
CL-11
456
0.894127
0.381
0.401
0.395
0.4593
0.6002
0.69
0.749
0.8474
0.9789


026_589_00295371
Intestine
589
HCT 116
456
0.931657
0.336
0.381
0.435
0.4732
0.5791
0.862
1.1049
1.0627
1.1072


026_608_00293620
Intestine
608
CCK-81
456
1.046144
0.242
0.394
0.399
0.4912
0.6325
0.738
0.9653
0.9069
0.9123


026_610_00293660
Intestine
610
RCM-1
456
1.475794
0.45
0.416
0.414
0.6252
0.6775
0.804
0.981
1.0277
1.0565


026_569_00295390
Intestine
569
HT-29
456
1.526342
0.48
0.464
0.5
0.5547
0.5893
0.74
0.9536
0.9048
0.9241


026_8271_00314300
Intestine
8271
SNU-175
456
1.739925
0.382
0.522
0.535
0.5651
0.6481
0.701
0.7957
0.9458
0.9851


026_8108_00296610
Intestine
8108
LS-513
456
1.815428
0.37
0.448
0.511
0.6156
0.8074
0.933
0.9905
0.9579
0.9991


026_592_00295380
Intestine
592
HT115
456
1.869689
0.377
0.436
0.5
0.6258
0.8213
1.101
1.0858
1.0169
1.1148


026_606_00293630
Intestine
606
HCC-56
456
1.929923
0.646
0.514
0.536
0.5915
0.7207
0.867
0.8829
0.9131
0.9417


026_8107_00296450
Intestine
8107
LS-411N
456
2.297731
0.497
0.55
0.585
0.5585
0.6884
0.755
0.8626
0.8921
0.9253


026_595_00295420
Intestine
595
LS180
456
2.32965
0.453
0.515
0.551
0.6999
0.8666
0.91
1.0102
0.9178
1.1155


026_8169_00295910
Intestine
8169
SNU-C2B
456
2.617884
0.503
0.566
0.598
0.7373
0.671
0.774
0.9066
0.8796
0.9886


026_564_00292860
Intestine
564
NCI-H630
456
2.627492
0.496
0.556
0.55
0.7713
1.0007
0.964
0.9563
0.8783
0.9169


026_603_00292731
Intestine
603
SW837
456
2.797981
0.525
0.597
0.586
0.7811
0.7763
1.002
1.023
1.0218
1.0696


026_588_00295360
Intestine
588
GP5d
456
2.925873
0.521
0.65
0.67
0.679
0.8325
0.964
1.0479
1.1013
1.0678


026_598_00302650
Intestine
598
SW 1417
456
3.077195
0.616
0.696
0.742
0.6531
1.034
1.029
1.0798
0.8321
1.2207


026_8276_00296000
Intestine
8276
SNU-C5
456
3.153347
0.603
0.592
0.612
0.6327
0.7283
0.812
0.8824
0.9411
0.9768


026_593_00295530
Intestine
593
HT55
456
3.164186
0.589
0.646
0.61
0.7857
0.7974
1.03
1.1134
1.0941
1.1175


026_8106_00264670
Intestine
8106
LS-123
456
3.191118
0.547
0.687
0.783
0.7554
0.8823
0.879
0.9202
0.965
0.9375


026_599_00296340
Intestine
599
SW 1463
456
3.237942
0.572
0.642
0.631
0.6255
0.6275
0.757
0.9237
0.9401
0.9681


026_8086_00296431
Intestine
8086
KM12
456
3.240654
0.564
0.657
0.65
0.6739
0.8062
0.903
0.8847
0.9825
0.9793


026_587_00302320
Intestine
587
COLO 741
456
3.269221
0.615
0.622
0.694
0.6624
0.7236
0.816
1.1047
1.0995
1.0783


026_8273_00295970
Intestine
8273
SNU-407
456
3.390403
0.577
0.622
0.663
0.7325
0.7399
0.745
0.8059
0.8644
1.0342


026_8270_00304630
Intestine
8270
SNU-1040
456
3.643993
0.604
0.78
0.799
0.8256
0.8028
0.92
0.9246
0.9919
1.2066


026_8168_00295990
Intestine
8168
SNU-C1
456
3.717495
0.645
0.673
0.685
0.6875
0.8368
0.739
0.8513
1.1115
1.0883


026_8275_00256210
Intestine
8275
SNU-81
456
3.903109
0.338
0.659
0.68
0.6942
0.7065
0.761
0.7749
0.8653
0.9224


026_583_00295921
Intestine
583
SW-948
456
3.908038
0.735
0.672
0.851
0.9918
1.0392
0.979
0.9178
0.9736
0.9758


026_8274_00295980
Intestine
8274
SNU-61
456
4.14154
0.663
0.72
0.672
0.6639
0.7521
0.794
0.8775
0.8761
0.9371


026_8105_00296440
Intestine
8105
LS-1034
456
4.222062
0.732
0.754
0.781
0.8085
0.8857
1.006
1.1032
1.0973
1.0698


026_580_00295930
Intestine
580
COLO-678
456
4.449849
0.891
0.793
0.767
0.8394
0.8741
0.917
1.0326
0.9344
1.0884


026_580_00266560
Intestine
580
COLO-678
456
4.550688
0.724
0.686
0.785
0.8147
0.8701
0.885
0.9546
0.9558
0.9803


026_581_00295830
Intestine
581
HCT-15
456
4.608693
0.811
0.75
0.973
0.9405
1.0972
0.98
1.098
1.0722
1.1405


026_573_00296370
Intestine
573
SW620
456
4.816766
0.775
0.787
0.797
0.8519
0.8683
0.915
0.9626
1.0901
1.097


026_8021_00296390
Intestine
8021
COLO-320-HSR
456
4.87923
0.817
0.861
0.828
1.0219
0.8974
1.103
1.0927
0.9967
1.1145


026_8106_00298521
Intestine
8106
LS-123
456
4.895207
0.706
0.749
0.852
0.7598
0.7605
0.923
0.8934
0.9319
1.0175


026_600_00296361
Intestine
600
SW 48
456
4.951306
0.706
0.776
0.775
0.7937
0.8445
0.857
0.9382
0.915
0.9609


026_8070_00296411
Intestine
8070
HCC2998
456
4.984157
0.701
0.788
0.743
0.7463
0.8151
0.891
0.9115
0.9572
0.9432


026_8135_00295950
Intestine
8135
NCI-H716
456
4.988916
0.813
0.864
0.948
0.9832
0.9658
0.94
0.9372
0.9633
1.1237


026_8136_00295961
Intestine
8136
NCI-H747
456
5.220086
0.699
0.693
0.763
0.7315
0.7863
0.815
0.8715
0.8842
1.1461


026_574_00263900
Intestine
574
CL-11
456
5.294016
0.826
0.812
0.761
0.7543
0.8087
0.891
0.9784
0.9577
0.9649


026_8026_00300671
Intestine
8026
CW-2
456
5.403672
0.827
0.955
0.974
0.9551
0.9288
0.954
0.9824
0.9866
1.0636


026_607_00293610
Intestine
607
CaR-1
456
5.551737
0.834
0.873
0.912
0.8795
0.9318
0.939
0.9636
0.9483
0.9415


026_8074_00296420
Intestine
8074
HUTU-80
456
5.701754
0.841
0.852
0.876
0.9027
0.8952
1.007
1.0026
0.966
0.9322


026_563_00316540
Intestine
563
C2BBe1
456
5.783056
0.853
0.949
0.926
0.9333
0.9253
0.879
0.9164
1.0369
1.0733


026_596_00296280
Intestine
596
MDST8
456
6.402689
0.885
0.885
0.874
0.8768
0.9374
0.931
0.9758
0.9779
1.0734


026_597_00300651
Intestine
597
SW 1116
456
6.447765
0.647
1.058
0.925
1.031
0.9839
0.997
1.0631
1.0277
0.905


026_601_00296480
Intestine
601
T84
456
7.233631
0.973
0.939
0.93
0.9736
0.9545
0.891
0.964
0.9372
1.0259


026_622_00288160
Kidney
622
G-401
456
1.158385
0.363
0.358
0.433
0.5045
0.6202
0.865
0.8778
1.0261
1.0061


026_626_00298790
Kidney
626
BFTC-909
456
1.589633
0.292
0.387
0.526
0.5522
0.8154
0.895
0.9347
1.005
1.054


026_623_00288201
Kidney
623
SK-NEP-1
456
1.837955
0.412
0.444
0.507
0.7421
0.8141
0.813
0.9099
0.9209
0.981


026_8264_00290630
Kidney
8264
RCC-JF
456
2.377362
0.452
0.535
0.585
0.6574
0.9675
0.851
0.9828
1.0591
1.0712


026_619_00290290
Kidney
619
769-P
456
2.463867
0.439
0.58
0.576
0.7655
0.8898
0.994
1.0776
1.0508
1.1513


026_627_00291130
Kidney
627
CAL-54
456
2.931844
0.586
0.588
0.649
0.6813
0.7826
0.858
0.9811
0.9726
1.0003


026_617_00290310
Kidney
617
ACHN
456
2.983353
0.545
0.592
0.627
0.7345
0.7447
0.733
0.7712
0.919
1.1152


026_8263_00290620
Kidney
8263
RCC-FG2
456
3.111338
0.517
0.689
0.691
0.7857
0.7896
0.884
0.8746
0.9754
1.0284


026_8190_00290280
Kidney
8190
TK10
456
3.318654
0.638
0.654
0.671
0.7606
0.892
0.932
1.0085
1.0009
0.9983


026_638_00288220
Kidney
638
VMRC-RCZ
456
3.36569
0.14
0.709
0.838
0.9211
0.92
0.981
0.9922
0.9588
0.989


026_8261_00308760
Kidney
8261
RCC-AB
456
3.394556
0.566
0.724
0.758
0.85
0.8258
0.948
0.9492
0.9471
0.9351


026_628_00288210
Kidney
628
SW 13
456
3.41636
0.454
0.733
0.735
0.7572
0.8068
0.826
0.8584
0.9361
1.0195


026_8262_00290610
Kidney
8262
RCC-ER
456
3.745967
0.583
0.783
0.794
0.8415
0.9082
0.87
0.8861
0.9471
0.9855


026_8265_00302360
Kidney
8265
RCC-JW
456
3.749626
0.686
0.758
0.874
0.9595
1.0107
1.003
1.0135
1.0068
1.0345


026_8261_00311200
Kidney
8261
RCC-AB
456
3.919417
0.288
0.72
0.73
0.765
0.8515
0.878
0.9287
0.8965
0.9174


026_618_00290300
Kidney
618
786-O
456
3.967789
0.657
0.719
0.822
0.8016
0.8829
0.898
1.0239
0.917
1.0472


026_625_00290670
Kidney
625
UO-31
456
3.998088
0.662
0.756
0.767
0.9002
0.8304
0.876
0.9012
1.0588
1.1507


026_8096_00290860
Kidney
8096
LB2241-RCC
456
3.99857
0.643
0.686
0.74
0.8137
0.8533
0.902
0.9235
0.9107
0.9322


026_614_00291210
Kidney
614
SW 156
456
4.137243
0.651
0.665
0.71
0.7683
0.8365
0.896
0.903
0.9074
0.9013


026_8249_00295560
Kidney
8249
NCC021
456
4.201277
0.701
0.897
0.903
0.9199
0.9735
0.942
0.9933
1.0276
1.0113


026_633_00290250
Kidney
633
KMRC-20
456
4.24311
0.713
0.872
0.83
0.9644
0.8737
1.135
1.027
1.0923
1.0373


026_8068_00290231
Kidney
8068
HA7-RCC
456
4.403879
0.761
0.764
0.7
0.8322
0.7944
0.89
1.0474
1.1224
1.0563


026_8095_00290260
Kidney
8095
LB1047-RCC
456
4.460236
0.772
0.824
0.914
1.0356
1.0154
1.004
1.0739
1.1192
1.1745


026_626_00258890
Kidney
626
BFTC-909
456
4.464205
0.741
0.932
1.057
1.0395
1.0888
1.03
1.0217
1.0625
1.0049


026_8147_00290270
Kidney
8147
OS-RC-2
456
4.480976
0.767
0.794
0.799
0.8302
0.9419
1.023
1.0718
1.0847
1.1694


026_8013_00290220
Kidney
8013
BB65-RCC
456
4.50555
0.714
0.769
0.765
0.8909
0.8509
0.865
0.9509
1.0096
0.903


026_8006_00293300
Kidney
8006
A704
456
4.630889
0.755
0.917
0.918
0.9328
0.9788
1.112
0.981
0.9813
1.0413


026_637_00290240
Kidney
637
KMRC-1
456
4.786417
0.748
0.889
0.97
0.9322
0.836
1.012
1.0239
0.9503
1.088


026_624_00290320
Kidney
624
Caki-1
456
4.808296
0.821
0.803
0.908
0.9738
0.9722
1.083
1.1676
1.1464
1.1228


026_8266_00290640
Kidney
8266
RCC-MF
456
4.811179
0.754
0.903
0.819
0.8455
0.8764
0.999
0.9885
0.935
1.1762


026_620_00288170
Kidney
620
G-402
456
4.865533
0.694
0.721
0.686
0.7919
0.7766
0.804
0.8404
0.885
0.9093


026_8152_00293381
Kidney
8152
RCC10RGB
456
5.110675
0.821
0.719
0.783
0.9032
0.8829
0.858
0.8991
0.9287
1.0343


026_640_00291220
Kidney
640
VMRC-RCW
456
5.287926
0.73
0.737
0.793
0.8088
0.8744
0.905
0.9003
0.9127
0.9163


026_8102_00293360
Kidney
8102
LB996-RCC
456
5.484542
0.855
0.901
0.954
0.9116
0.9754
0.98
0.958
0.9786
0.9921


026_1119_00290901
Kidney
1119
SN-12C
456
5.586587
0.818
0.749
0.747
0.783
0.8058
0.856
0.9038
0.9508
0.9573


026_626_00290810
Kidney
626
BFTC-909
456
5.753321
0.799
0.854
0.903
0.9293
0.9289
0.92
0.9333
0.9322
0.9535


026_8005_00266530
Kidney
8005
A498
456
5.843211
0.594
0.917
1.009
1.0079
0.9307
0.996
1.0002
1.0033
0.9941


026_8157_00296471
Kidney
8157
RXF393
456
6.166218
0.853
0.878
0.91
0.8924
0.9071
0.932
0.9081
0.9505
0.9889


026_8102_00253000
Kidney
8102
LB996-RCC
456
6.306723
0.959
0.873
0.878
0.9741
0.9596
1.025
0.9525
0.9849
0.9931


026_8006_00263880
Kidney
8006
A704
456
6.969306
1.351
0.929
1.157
0.9881
1.0206
0.957
1.0009
0.9583
0.9931


026_8152_00256190
Kidney
8152
RCC10RGB
456
7.15535
1.178
0.835
1.76
0.846
0.8683
1.123
1.1733
1.1056
1.0876


026_8005_00296380
Kidney
8005
A498
456
8.190783
1.022
1.025
1.024
1.0158
1.03
1.032
1.0128
1.0239
1.0104


026_233_00277420
Leukemia
233
SIG-M5
456
−5.883853
0.228
0.243
0.233
0.2401
0.2362
0.247
0.2641
0.2732
0.4405


026_217_00277380
Leukemia
217
OCI-AML2
456
−1.42786
0.09
0.102
0.106
0.1256
0.1044
0.132
0.3277
0.8333
0.8618


026_179_00314500
Leukemia
179
KMOE-2
456
−0.249088
0.13
0.135
0.138
0.1591
0.3658
0.608
0.865
0.8967
1.0615


026_214_00285590
Leukemia
214
NB-4
456
−0.011745
0.18
0.323
0.315
0.3611
0.4215
0.592
0.8144
0.8865
0.9464


026_168_00280410
Leukemia
168
JURL-MK1
456
0.181843
0.145
0.179
0.186
0.2526
0.4638
0.727
0.9379
0.904
0.9907


026_194_00280680
Leukemia
194
ML-2
456
0.294246
0.418
0.395
0.379
0.4439
0.4739
0.633
0.7874
0.8519
1.0223


026_186_00280670
Leukemia
186
LAMA-84
456
0.295979
0.152
0.15
0.191
0.3623
0.6147
0.774
0.777
0.8716
0.8816


026_234_00314650
Leukemia
234
SKM-1
456
0.349518
0.37
0.347
0.369
0.4439
0.4995
0.57
0.729
0.9566
1.2103


026_221_00280300
Leukemia
221
OCI-M1
456
0.656393
0.183
0.235
0.344
0.5052
0.5942
0.759
0.8267
0.8418
1.1212


026_260_00280430
Leukemia
260
KO52
456
0.674413
0.348
0.376
0.357
0.3446
0.4195
0.753
0.7217
0.7637
1.0996


026_45_00274530
Leukemia
45
HL-60
456
0.756274
0.344
0.389
0.403
0.4669
0.6154
0.78
0.9211
0.9579
1.0107


026_218_00279140
Leukemia
218
OCI-AML3
456
0.868641
0.368
0.38
0.401
0.4571
0.5459
0.76
0.8359
0.9311
0.9403


026_219_00280290
Leukemia
219
OCI-AML5
456
0.879404
0.245
0.404
0.427
0.4943
0.686
0.712
0.8112
0.9498
0.9021


026_199_00314510
Leukemia
199
MOLT-13
456
0.892109
0.227
0.339
0.454
0.5097
0.5774
0.766
0.8101
0.9633
1.1416


026_226_00280310
Leukemia
226
PL-21
456
0.938066
0.406
0.425
0.463
0.4834
0.537
0.657
0.7338
0.7978
0.8482


026_8141_00274380
Leukemia
8141
NOMO-1
456
1.040856
0.375
0.445
0.435
0.4798
0.5465
0.636
0.9597
0.9214
0.9288


026_8069_00279180
Leukemia
8069
HAL-01
456
1.147185
0.349
0.345
0.454
0.634
0.6764
1.103
0.7322
0.8261
1.0097


026_68_00273640
Leukemia
68
MV-4-11
456
1.155322
0.061
0.367
0.445
0.5488
0.6586
0.777
0.8697
0.9167
1.045


026_175_00282940
Leukemia
175
KARPAS-620
456
1.190853
0.562
0.517
0.444
0.6051
0.7411
0.916
0.9551
1.1003
1.0193


026_89_00278880
Leukemia
89
MEG-01
456
1.211836
0.223
0.376
0.433
0.6062
0.6931
0.86
0.9075
0.9993
1.0376


026_8017_00279150
Leukemia
8017
BV-173
456
1.464827
0.147
0.454
0.57
0.8503
0.5534
0.638
0.7679
0.8629
1.0089


026_225_00277400
Leukemia
225
PF-382
456
1.646942
0.317
0.403
0.525
0.6985
0.7396
0.932
0.9611
0.9018
1.0833


026_285_00282960
Leukemia
285
KY821A3
456
1.656661
0.422
0.426
0.445
0.6672
0.7837
0.935
1.0015
1.0293
1.0583


026_8008_00280620
Leukemia
8008
ALL-PO
456
1.659142
0.143
0.469
0.549
0.6225
0.6911
0.725
0.845
0.8482
1.019


026_177_00276860
Leukemia
177
KE-37
456
1.711407
0.195
0.451
0.523
0.6745
0.9068
0.897
0.9087
0.9169
1.0477


026_126_00280270
Leukemia
126
GDM-1
456
1.723253
0.297
0.444
0.595
0.682
0.7944
0.786
0.9053
0.9081
0.8666


026_261_00274440
Leukemia
261
MY-M12
456
1.811821
0.395
0.471
0.59
0.6443
0.7461
0.832
0.8778
1.0023
1.0569


026_201_00277390
Leukemia
201
MOLT-16
456
1.821177
0.276
0.43
0.578
0.7394
0.7801
0.857
0.9379
1.0322
0.9678


026_148_00277330
Leukemia
148
CMK
456
1.894859
0.275
0.484
0.637
0.6101
0.744
0.771
0.9002
0.8949
0.8668


026_28_00280320
Leukemia
28
SUP-B15
456
1.921651
0.261
0.506
0.579
0.7214
0.7165
0.82
0.908
0.9679
0.9913


026_190_00287920
Leukemia
190
ME-1
456
1.924633
0.611
0.596
0.587
0.5806
0.5987
0.684
0.7906
0.8581
0.9106


026_8150_00273700
Leukemia
8150
QIMR-WIL
456
1.928333
0.441
0.546
0.595
0.6574
0.7011
0.771
0.852
0.962
0.9148


026_8156_00273710
Leukemia
8156
RPMI-8866
456
1.939976
0.339
0.474
0.598
0.694
0.7428
0.867
0.9518
0.9936
0.9682


026_161_00277350
Leukemia
161
HC-1
456
1.948766
0.447
0.517
0.568
0.6165
0.6342
0.768
0.7642
0.9074
1.0155


026_195_00279120
Leukemia
195
MOLM-13
456
1.961596
0.394
0.455
0.518
0.6868
0.817
0.872
0.9157
0.983
1.0345


026_209_00279130
Leukemia
209
NALM-6
456
2.000316
0.14
0.471
0.592
0.6915
0.7587
0.808
0.8658
0.9205
0.9768


026_127_00278810
Leukemia
127
CESS
456
2.000616
0.342
0.505
0.625
0.6869
0.7679
0.843
0.9355
0.9565
0.9827


026_8196_00278790
Leukemia
8196
697
456
2.032634
0.337
0.476
0.617
0.7249
0.8167
0.885
1.0481
1.0695
1.0723


026_223_00276841
Leukemia
223
P12-ICHIKAWA
456
2.094412
0.266
0.472
0.62
1.0139
0.9551
0.864
0.9219
1.0283
0.907


026_157_00279291
Leukemia
157
DND-41
456
2.109279
0.354
0.498
0.624
0.7174
0.8189
0.89
0.9495
0.9928
1.0144


026_174_00276850
Leukemia
174
KARPAS-45
456
2.156973
0.368
0.541
0.63
0.778
0.8566
0.998
1.0142
0.9561
0.9985


026_223_00274461
Leukemia
223
P12-ICHIKAWA
456
2.170641
0.274
0.465
0.567
0.909
0.9914
1.041
1.0272
0.9908
1.0038


026_231_00277410
Leukemia
231
RPMI-8402
456
2.171412
0.292
0.525
0.673
0.8379
0.894
0.956
1.0525
1.0069
1.0163


026_176_00278840
Leukemia
176
KCL-22
456
2.178418
0.342
0.551
0.66
0.7185
0.7521
0.822
0.8942
1.034
0.9817


026_198_00279320
Leukemia
198
MOLP-8
456
2.182175
0.422
0.613
0.604
0.6789
0.7123
0.753
0.8469
0.8678
0.9555


026_35_00274541
Leukemia
35
MOLT-4
456
2.185513
0.368
0.518
0.657
0.7557
0.8266
0.893
0.9057
1.0649
1.0505


26_256_00273800
Leukemia
256
U266B1
456
2.191112
0.423
0.53
0.596
0.6351
0.7316
0.782
0.8701
0.9616
0.9089


026_41_00278850
Leukemia
41
KG-1
456
2.260524
0.445
0.507
0.569
0.7321
0.8443
0.89
0.9006
0.9237
0.9648


026_38_00278900
Leukemia
38
THP-1
456
2.296961
0.389
0.568
0.692
0.7667
0.7899
0.895
0.9332
0.9649
0.9902


026_153_00277340
Leukemia
153
CTV-1
456
2.301756
0.308
0.563
0.682
0.7882
0.8949
0.972
1.0362
1.0213
1.0568


26_284_00273770
Leukemia
284
KY821
456
2.31293
0.459
0.524
0.599
0.642
0.7677
0.831
0.9119
0.9596
0.9938


026_256_00304780
Leukemia
256
U266B1
456
2.374209
0.453
0.543
0.608
0.6629
0.7604
0.806
0.9117
0.9547
0.9487


026_8033_00279160
Leukemia
8033
DEL
456
2.390133
0.433
0.595
0.647
0.7617
0.7648
0.851
0.9096
0.9116
0.9641


026_227_00314640
Leukemia
227
RCH-ACV
456
2.405281
0.39
0.571
0.742
0.8517
0.9043
0.946
0.9917
1.0175
1.1197


026_33_00274521
Leukemia
33
CCRF-CEM
456
2.408403
0.354
0.606
0.685
0.7594
0.8191
0.904
0.9597
0.9629
1.0269


026_141_00276820
Leukemia
141
K-562
456
2.457405
0.51
0.504
0.624
0.8081
0.8379
1.163
0.9404
1.0057
1.0193


026_8137_00273680
Leukemia
8137
NKM-1
456
2.543263
0.464
0.601
0.622
0.6486
0.7425
0.801
0.8993
0.9038
0.9449


026_36_00274550
Leukemia
36
Reh
456
2.569808
0.418
0.628
0.742
0.8367
0.88
0.896
0.9262
0.8979
0.9849


026_8042_00285400
Leukemia
8042
EoL-1-cell
456
2.64235
0.232
0.569
0.651
0.7409
0.7743
0.894
0.8333
0.905
0.9094


026_281_00273690
Leukemia
281
P30/OHK
456
2.804566
0.473
0.654
0.769
0.9121
0.8865
1.022
1.0746
1.0233
1.0407


026_59_00278820
Leukemia
59
J.RT3-T3.5
456
2.830428
0.457
0.659
0.795
0.8429
0.9259
1.002
1.0587
0.9873
1.1396


026_164_00277360
Leukemia
164
HEL
456
2.835925
0.426
0.745
0.939
0.9081
1.0194
0.987
1.0611
1.0159
0.9841


026_183_00277370
Leukemia
183
L-363
456
2.864138
0.468
0.685
0.82
0.9025
0.9548
1.046
1.0249
0.9812
1.02


026_90_00282840
Leukemia
90
KU812
456
2.874545
0.446
0.74
0.806
0.917
0.9589
0.978
0.9646
1.0111
1.0409


026_27_00278890
Leukemia
27
RS4;11
456
2.914096
0.47
0.684
0.809
0.8895
0.9144
0.975
0.9547
0.9619
1.0194


026_167_00314490
Leukemia
167
JURKAT
456
2.954834
0.503
0.713
0.842
0.9399
0.9544
0.985
0.9987
1.034
1.0702


026_181_00278860
Leukemia
181
KOPN-8
456
2.957727
0.484
0.669
0.731
0.7843
0.8662
0.92
0.9473
0.9339
0.9555


026_8155_00309110
Leukemia
277
RPMI 8226
456
2.959542
0.648
0.63
0.689
0.8376
0.888
0.99
0.9938
1.0182
1.0157


026_8041_00280640
Leukemia
8041
EM-2
456
3.022652
0.557
0.687
0.614
0.634
0.706
0.679
0.8613
0.8617
1.9538


026_142_00279280
Leukemia
142
ALL-SIL
456
3.085854
0.187
0.624
0.769
0.7092
0.7975
0.937
0.9525
0.9717
0.8276


026_277_00280420
Leukemia
277
RPMI 8226
456
3.102844
0.659
0.636
0.566
0.6117
0.6594
0.722
0.8693
0.9508
0.9057


026_180_00279310
Leukemia
180
KMS-12-BM
456
3.125028
0.512
0.704
0.788
0.8503
0.8703
0.949
0.905
0.9806
0.9931


026_8066_00279170
Leukemia
8066
GR-ST
456
3.192114
0.532
0.681
0.762
0.8318
0.8448
0.865
1.0258
0.9609
0.9989


26_283_00273780
Leukemia
283
LC4-1
456
3.243599
0.592
0.732
0.916
0.9522
1.0268
1.078
0.9517
1.0295
1.0135


026_114_00273650
Leukemia
114
SUP-T1
456
3.397019
0.637
0.807
0.908
1.0154
0.984
1.031
0.99
0.9877
1.0134


026_138_00287901
Leukemia
138
Loucy
456
3.501279
0.289
0.749
0.772
0.942
0.9225
0.948
0.9678
0.9653
1.0654


026_8014_00282911
Leukemia
8014
BE-13
456
3.615529
0.68
0.757
0.965
1.1246
1.0528
1.075
1.0884
1.0694
1.1037


26_274_00273860
Leukemia
274
BALL-1
456
3.704228
0.65
0.709
0.777
0.8768
0.9725
0.983
0.9819
0.9839
0.9978


026_222_00280480
Leukemia
222
OPM-2
456
3.757754
0.681
0.619
0.771
0.9443
0.8789
1.073
0.9014
0.9191
0.9051


026_8164_00283540
Leukemia
8164
SK-MM-2
456
3.790344
0.669
0.788
0.861
0.8903
0.938
0.941
1.0087
0.9277
0.9972


026_166_00278830
Leukemia
166
JJN-3
456
3.901981
0.636
0.791
0.85
0.8566
0.8711
0.916
0.9455
0.9892
1.057


026_230_00282970
Leukemia
230
ROS-50
456
4.130585
0.741
0.775
0.805
0.9413
0.9813
1.11
1.1334
1.0559
0.999


026_159_00314480
Leukemia
159
EJM
456
4.251735
0.714
0.845
0.899
0.9099
1.0285
0.923
1.0677
1.0768
1.0543


026_278_00304730
Leukemia
278
KMS-12-PE
456
4.269602
0.765
0.814
0.84
1.0641
0.988
1.023
1.0045
1.0284
1.0665


026_8219_00282850
Leukemia
8219
Mo-T
456
4.313664
0.73
0.825
0.804
0.9425
0.9233
1.033
0.8454
1.1551
1.0561


026_279_00274450
Leukemia
279
P31/FUJ
456
4.386897
0.705
0.805
0.799
0.819
0.8632
1.043
1.0364
0.9822
1.0363


026_171_00285190
Leukemia
171
KARPAS-231
456
4.404825
0.703
0.9
0.906
0.9339
0.9295
0.904
0.9725
0.9496
0.9164


026_244_00273660
Leukemia
244
TALL-1
456
4.411016
0.698
0.758
0.785
0.8345
0.8593
0.861
1.0445
1.0026
1.0194


026_158_00291340
Leukemia
158
EHEB
456
4.509743
0.665
0.745
0.765
0.7841
0.8282
0.839
0.92
0.9348
1.0344


026_134_00278800
Leukemia
134
ARH-77
456
4.545002
0.781
0.856
0.96
0.848
1.0568
1.029
1.0104
1.0156
1.0086


026_246_00273670
Leukemia
246
U-698-M
456
4.580953
0.754
0.891
0.936
0.9419
0.9607
0.937
1.032
0.9352
1.0229


026_8113_00280440
Leukemia
8113
MHH-CALL-2
456
4.648418
0.771
0.883
0.929
0.9704
0.9337
0.987
1.0345
1.0223
1.0471


026_159_00311690
Leukemia
159
EJM
456
4.699945
0.746
0.894
0.921
0.9275
0.9393
0.941
0.9575
0.9338
0.9675


026_159_00282920
Leukemia
159
EJM
456
4.832393
0.746
0.976
1.016
0.9859
1.0015
1.002
1.1587
1.1041
1.0548


026_8115_00280450
Leukemia
8115
MN-60
456
4.861437
0.826
0.804
0.822
1.0586
0.9555
0.947
1.0471
1.128
1.0314


026_204_00280460
Leukemia
204
MONO-MAC-6
456
4.946039
0.736
0.802
0.771
0.8409
0.8712
0.833
0.8634
1.0677
0.855


026_8117_00280470
Leukemia
8117
MUTZ-1
456
5.304526
0.823
0.984
1.063
1.051
1.0142
1.007
0.9986
0.9654
0.9525


026_188_00282930
Leukemia
188
LP-1
456
5.373997
0.831
0.887
0.972
0.8808
0.9105
0.886
0.9533
0.9576
1.138


026_8081_00285580
Leukemia
8081
JVM-3
456
5.581328
0.884
0.904
0.907
0.9131
1.01
1.097
1.0593
0.9629
1.0333


026_159_00309070
Leukemia
159
EJM
456
5.810283
0.882
0.986
0.998
1.0992
1.0048
1.045
1.0126
1.024
1.0649


026_8080_00280660
Leukemia
8080
JVM-2
456
5.982881
0.867
0.876
0.901
0.8865
0.9235
0.909
0.9782
0.8964
0.9789


026_278_00306920
Leukemia
278
KMS-12-PE
456
6.629507
0.971
0.92
0.95
0.9554
0.9046
0.905
0.9657
1.0243
0.9236


026_8010_00280630
Leukemia
8010
ATN-1
456
7.14863
1.03
0.958
0.835
0.8896
0.8651
0.907
0.9392
0.8582
0.9763


26_262_00273790
Leukemia
262
MLMA
456
7.68552
0.485
1.033
1.077
1.0216
1.0341
0.962
1.0378
0.9821
1.0245


026_278_00282950
Leukemia
278
KMS-12-PE
456
7.74945
0.958
1.101
1.04
1.1177
1.0046
1.029
1.0272
1.0311
1.0037


026_649_00264910
Liver
649
Hep 3B2.1-7
456
−0.30042
0.134
0.098
0.087
0.1121
0.2203
0.601
0.8432
0.8926
0.9089


026_658_00262810
Liver
658
JHH-1
456
−0.185127
0.054
0.329
0.515
0.3993
0.5194
0.524
0.6608
0.6499
0.6863


026_649_00266180
Liver
649
Hep 3B2.1-7
456
−0.037335
0.073
0.105
0.093
0.0908
0.1037
0.202
0.8123
0.9207
1.007


026_667_00273550
Liver
667
HuH-7
456
1.289162
0.279
0.565
0.539
0.5535
0.7134
0.77
0.8626
0.9675
0.9662


026_659_00255780
Liver
659
JHH-2
456
1.758427
0.283
0.473
0.657
0.7149
0.551
0.819
0.8858
0.8891
1.0202


026_643_00266460
Liver
643
SNU-398
456
2.578054
0.415
0.687
0.643
0.6854
0.6879
0.717
0.7896
0.8076
0.9193


026_667_00269210
Liver
667
HuH-7
456
2.760591
0.501
0.59
0.665
0.6852
0.6886
0.781
0.95
1.0287
1.0142


026_647_00269110
Liver
647
SNU-387
456
2.930627
0.494
0.772
0.829
0.9402
0.9686
1.046
1.0372
1.0223
1.2144


026_661_00252500
Liver
661
JHH-7
456
3.286573
0.539
0.889
0.794
0.8777
1.0776
0.953
0.9918
1.037
0.9476


026_643_00263980
Liver
643
SNU-398
456
3.293137
0.487
0.768
0.854
0.8235
0.8763
0.883
0.9616
1.068
1.0718


026_642_00308440
Liver
642
C3A
456
3.554832
0.587
0.68
0.706
0.7687
0.817
0.878
0.9697
0.9574
0.9245


026_648_00258350
Liver
648
SNU-423
456
3.576003
0.139
0.699
0.902
0.9157
0.9485
0.909
0.9218
0.9469
1.0028


026_656_00252510
Liver
656
JHH-4
456
3.61979
0.701
0.653
0.631
0.8187
0.7968
0.977
0.9161
0.9897
0.9288


026_660_00252490
Liver
660
JHH-6
456
3.831185
0.696
0.88
1.034
0.9294
0.9465
1.04
0.9417
1.0528
0.952


026_644_00252750
Liver
644
SNU-449
456
4.40481
0.664
0.733
0.764
0.7954
0.8597
0.896
0.9485
0.9457
0.9162


026_644_00306170
Liver
644
SNU-449
456
6.450644
0.96
0.961
0.745
1.0716
1.0197
1.08
0.991
0.9007
0.9369


26_646_00314060
Liver
646
SNU-475
456
6.501654
0.181
0.97
0.971
0.9863
1.0061
1.007
1.0271
1.0202
0.057


026_654_00255800
Liver
654
SK-HEP-1
456
6.515068
0.927
0.956
0.961
0.9827
0.9589
0.98
0.9783
0.9726
0.9998


026_668_00252690
Liver
668
HLE
456
7.25378
0.434
1.006
1.087
0.9897
1.1103
0.964
1.006
1.106
0.9541


026_662_00252460
Liver
662
huH-1
456
7.722693
0.466
1.165
1.072
1.0401
1.0408
1.136
1.015
1.123
0.9778


026_645_00306160
Liver
645
SNU-182
456
7.852049
1.105
1.061
1.063
1.0055
1.0268
1.053
1.0365
1.0318
1.0842


026_642_00252670
Liver
642
C3A
456
7.864415
0.386
1.1
1.007
1.108
0.9463
1.051
0.9803
1.029
0.9218


026_830_00304760
Lung
830
NCI-H2135
456
−0.374655
0.298
0.262
0.246
0.3049
0.3692
0.528
0.7269
0.8905
0.977


026_698_00300170
Lung
698
NCI-H524
456
2.279246
0.443
0.506
0.63
0.8741
0.9302
1.005
1.0131
1.0304
1.0567


026_672_00314460
Lung
672
NCI-H510A
456
2.367223
0.323
0.585
0.763
0.783
0.8906
0.969
0.9972
1.1809
1.0131


026_761_00300410
Lung
761
COR-L279
456
3.131703
0.559
0.745
0.868
0.9821
1.0079
1.06
1.0144
1.0182
1.0709


026_726_00304770
Lung
726
NCI-H2171
456
3.185965
0.524
0.729
0.842
0.8655
0.9088
0.871
1.0252
0.9207
1.129


026_740_00302760
Lung
740
NCI-H82
456
3.210581
0.542
0.755
0.865
0.9592
1.0522
0.888
0.9137
1.004
1.0151


026_787_00302910
Lung
787
SBC-3
456
3.410219
0.582
0.655
0.694
0.802
0.8502
0.902
0.9485
0.9451
0.9885


026_695_00300150
Lung
695
NCI-H211
456
3.515811
0.644
0.645
0.719
0.8327
0.8177
0.933
0.9519
0.9812
1.0305


026_721_00302860
Lung
721
NCI-H2029
456
3.591515
0.606
0.8
0.891
0.9011
0.8579
0.931
0.9429
1.0032
1.0011


026_776_00303250
Lung
776
MS-1-L
456
3.614256
0.642
0.767
0.855
0.8458
1.1115
0.929
1.0414
1.0285
1.162


026_8197_00304741
Lung
8197
LU-139
456
3.667637
0.66
0.84
0.901
1.0158
0.9097
0.912
1.0844
1.1048
1.0641


026_702_00302900
Lung
702
NCI-H847
456
3.686524
0.818
0.707
0.668
0.6815
0.7184
0.743
0.7999
0.9145
0.9524


026_8203_00309050
Lung
8203
IST-SL1
456
3.697133
0.635
0.801
0.87
0.931
0.9112
1
1.0127
0.9507
1.0704


026_724_00300140
Lung
724
NCI-H2081
456
3.857634
0.623
0.866
0.895
0.9027
0.9349
0.948
0.969
0.9681
1.0072


026_765_00300050
Lung
765
DMS 273
456
3.890251
0.702
0.844
0.904
0.9648
1.028
0.968
1.0795
1.0165
1.0825


026_829_00305160
Lung
829
NCI-H2110
456
3.972695
0.67
0.694
0.776
0.8765
0.8765
0.946
1.0573
0.91
0.9398


026_742_00303230
Lung
742
DMS 53
456
3.990104
0.711
0.802
0.867
0.9734
1.0075
1.037
1.0307
1.0204
1.0405


026_710_00316710
Lung
710
NCI-H1341
456
4.024081
0.591
0.852
0.7
0.7407
0.8259
0.789
0.8069
0.8386
0.865


026_738_00302800
Lung
738
NCI-H446
456
4.043153
0.692
0.871
0.917
1.0421
0.9341
0.915
1.0657
0.9649
1.0382


026_751_00308570
Lung
751
NCI-H209
456
4.061511
0.657
0.848
0.89
0.9403
0.8939
0.91
0.9316
0.9524
0.9513


026_716_00298900
Lung
716
NCI-H1876
456
4.083964
0.744
0.866
0.936
0.9448
0.9881
0.979
0.9782
0.9994
1.0261


026_725_00303280
Lung
725
NCI-H2141
456
4.09696
0.711
0.842
0.928
0.9702
0.9155
0.924
1.0044
1.0101
0.9559


026_688_00302810
Lung
688
SW 1271
456
4.124557
0.602
0.761
0.79
0.8093
0.807
0.823
0.896
0.8782
0.9341


026_720_00302380
Lung
720
NCI-H1994
456
4.130367
0.696
0.694
0.73
0.8114
0.9245
0.935
0.9484
0.9393
0.9738


026_811_00311720
Lung
811
NCI-H1435
456
4.138326
0.635
0.803
0.855
0.8503
0.8571
0.89
0.8912
0.955
0.9956


026_704_00300250
Lung
704
NCI-H1048
456
4.178908
0.166
0.762
0.867
0.8914
0.9318
0.923
0.9201
1.0122
0.9635


026_746_00302780
Lung
746
SHP-77
456
4.20487
0.79
0.843
0.955
1.029
0.9896
1.021
1.0111
0.9931
1.0025


026_829_00311740
Lung
829
NCI-H2110
456
4.22315
0.739
0.83
0.914
0.9675
0.9597
0.983
0.9791
1.032
0.9995


026_736_00300181
Lung
736
NCI-H69
456
4.26966
0.798
0.87
0.945
1.0535
1.0472
1.143
1.0521
1.0846
1.1743


026_724_00303270
Lung
724
NCI-H2081
456
4.274134
0.708
0.95
1.023
0.9666
1.0134
0.99
1.0037
1.0388
1.0531


026_714_00300260
Lung
714
NCI-H1694
456
4.276996
0.701
0.831
0.843
0.8708
0.9426
0.93
0.9095
1.1071
1.0848


026_715_00298890
Lung
715
NCI-H1836
456
4.291554
0.73
0.833
0.997
0.9315
0.9434
0.955
0.9291
0.9423
1


026_757_00302870
Lung
757
CPC-N
456
4.345126
0.718
0.819
0.887
0.8883
0.9167
0.938
0.9641
1.0154
1.0153


026_8229_00304990
Lung
8229
COR-L303
456
4.468573
0.685
0.828
0.788
0.868
0.6881
0.855
0.9579
0.8466
0.9772


026_691_00308560
Lung
691
NCI-H526
456
4.602758
0.748
0.932
0.944
0.9861
0.9744
0.954
1.0035
1.0955
1.0007


026_8099_00316740
Lung
8099
LB647-SCLC
456
4.613258
0.755
0.954
0.998
0.9372
0.957
1.041
1.0171
1.0259
0.9506


026_725_00302750
Lung
725
NCI-H2141
456
4.618451
0.747
0.869
0.906
0.9009
0.9283
0.901
1.003
0.9238
1.1424


026_705_00314520
Lung
705
NCI-H1092
456
4.678169
0.77
0.861
0.911
1.02
0.9158
1.082
0.9997
0.9139
0.961


026_684_00303260
Lung
684
NCI-H1688
456
4.865947
0.832
0.831
0.988
1.0672
0.9906
1.099
1.0391
1.0378
1.0698


026_725_00300160
Lung
725
NCI-H2141
456
4.894458
0.785
0.908
0.936
0.9468
0.9309
0.94
0.9635
1.0477
0.9963


026_8281_00300930
Lung
8281
COR-L311
456
5.024667
0.792
0.892
0.947
0.9155
0.8604
0.871
1.0268
1.0989
1.045


026_757_00300940
Lung
757
CPC-N
456
5.046784
0.796
0.904
0.984
1.0041
1.0137
0.919
0.905
0.9063
1.0167


026_701_00309060
Lung
701
NCI-H841
456
5.157768
0.826
0.808
0.939
0.891
0.8811
0.919
0.9514
1.0474
1.0933


026_814_00304750
Lung
814
NCI-H1568
456
5.159278
0.784
0.726
0.739
0.745
0.7127
0.774
0.9411
0.9
0.9817


026_741_00305010
Lung
741
NCI-H345
456
5.184481
0.801
0.818
0.835
0.9503
0.9116
0.894
0.8849
0.9853
1.083


026_705_00311700
Lung
705
NCI-H1092
456
5.191642
0.849
0.892
0.945
1.0426
0.9184
0.981
1.0366
1.0158
1.0581


026_786_00300950
Lung
786
SBC-5
456
5.281883
0.841
1.002
0.991
1.0148
0.9974
0.998
1.0298
1.0075
1.0015


026_723_00316720
Lung
723
NCI-H2066
456
5.313778
0.793
0.815
0.866
0.86
0.9117
0.892
0.9084
0.923
0.9757


026_705_00309080
Lung
705
NCI-H1092
456
5.329516
0.829
0.941
0.999
0.9672
0.8963
0.935
0.9991
0.9888
1.0506


026_709_00305000
Lung
709
NCI-H1304
456
5.330039
0.838
0.882
0.906
0.8939
0.9384
0.978
1.0127
1.0322
1.0575


026_739_00314630
Lung
739
NCI-H146
456
5.38813
0.858
0.893
0.978
1.0115
1.0583
0.937
0.9685
1.0018
1.0831


026_8110_00314450
Lung
8110
LU-165
456
5.539798
0.87
0.909
0.986
0.9964
0.9809
1.094
0.9305
0.9513
1.1416


026_811_00305140
Lung
811
NCI-H1435
456
5.586661
0.886
0.953
0.978
0.9914
1.0102
0.994
0.9871
0.9783
0.9731


026_711_00311710
Lung
711
NCI-H1417
456
5.606717
0.875
0.91
0.911
0.9612
1.0374
0.917
1.267
1.0195
0.9447


026_712_00309090
Lung
712
NCI-H1436
456
5.636542
0.85
0.918
0.976
0.9527
0.9331
0.932
0.9583
0.9477
1.0343


026_711_00305130
Lung
711
NCI-H1417
456
5.804325
0.849
1.022
0.916
0.9247
0.9771
0.939
0.9326
1.0168
1.0143


026_728_00311760
Lung
728
NCI-H2196
456
5.845371
0.89
0.908
0.918
0.9801
0.875
1.033
0.9519
0.931
1.0431


026_831_00311750
Lung
831
NCI-H2172
456
5.851811
0.879
0.986
1.002
0.9709
0.9562
0.984
0.9781
1.0144
0.974


026_1216_00300060
Lung
1216
H292
456
5.909493
0.869
0.823
0.808
0.8192
0.8429
0.864
0.9245
0.9789
1.0777


026_8109_00314440
Lung
8109
LU-134-A
456
5.930549
0.868
0.95
0.972
0.9375
0.9332
0.959
0.9516
1.1207
1.1025


026_831_00305170
Lung
831
NCI-H2172
456
6.053261
0.837
0.856
0.908
0.8908
0.9397
0.905
0.9677
0.9512
0.9839


026_728_00305180
Lung
728
NCI-H2196
456
6.171009
0.9
0.903
0.976
0.9979
0.9199
0.928
0.9453
0.9369
0.941


026_689_00300910
Lung
689
NCI-H187
456
6.191556
0.887
1.009
0.976
0.9779
0.9535
1.047
1.021
1.0846
0.959


026_785_00302770
Lung
785
SBC-1
456
6.234067
0.875
1.037
1.061
0.9376
1.0385
0.937
0.9403
1.0039
1.1602


026_8280_00306910
Lung
8280
COR-L321
456
6.254083
0.965
0.937
1.019
0.8492
0.948
1.048
1.0366
1.0761
0.9586


026_706_00318720
Lung
706
NCI-H1105
456
6.355
0.897
0.965
1.009
0.9821
0.9646
1.037
0.9974
0.9667
0.9589


026_712_00305150
Lung
712
NCI-H1436
456
6.498513
0.959
0.818
0.938
1.1033
0.9924
0.922
1.0128
1.0035
0.9263


026_8079_00306720
Lung
8079
IST-SL2
456
6.56418
0.947
0.972
0.935
0.9658
0.9445
0.966
0.9554
1.0191
1.006


026_743_00303220
Lung
743
DMS 114
456
6.614771
0.862
0.853
0.785
0.7831
0.861
0.851
0.8815
0.9129
1.0374


026_8022_00306711
Lung
8022
COLO-668
456
6.912523
0.97
0.968
0.956
1
0.9608
0.917
1.0093
0.9217
0.9308


026_8109_00308510
Lung
8109
LU-134-A
456
6.98132
0.924
1.012
1.105
0.9946
0.9684
1.081
0.9878
0.9397
0.9606


026_758_00303240
Lung
758
HCC-33
456
7.022636
0.931
1.056
1.002
1.0822
1.0508
1.011
1.0081
1.1612
1.1932


026_771_00306940
Lung
771
Lu-135
456
7.040802
0.988
0.969
0.972
1.0271
0.9989
1.006
0.993
1.0649
1.0235


026_694_00302790
Lung
694
NCI-H196
456
7.041262
0.976
0.954
0.975
0.9548
0.9357
0.922
0.9564
0.9433
1.019


026_764_00308550
Lung
764
COR-L95
456
7.251052
0.978
1.021
0.944
1.002
1.0708
0.947
0.9637
0.9383
0.903


026_763_00300900
Lung
763
COR-L88
456
7.365052
0.96
1.168
0.891
1.1434
1.1503
0.976
1.0066
1.0636
1.052


026_8134_00306730
Lung
8134
NCI-H64
456
7.782872
1.026
1.003
0.976
1.0025
0.951
1.047
0.9338
0.8997
1.0076


026_712_00311730
Lung
712
NCI-H1436
456
7.804947
1.019
1.049
0.947
0.9403
0.9104
0.931
0.9349
0.9472
0.9659


026_8018_00304801
Lung: NSCLC
8018
Calu-6
456
−0.899538
0.106
0.165
0.183
0.2075
0.2699
0.394
0.8182
0.9121
1.0531


026_1246_00304570
Lung: NSCLC
1246
NCI-H1770
456
−0.072444
0.109
0.175
0.267
0.3543
0.4184
0.552
0.6475
1.0183
0.9838


026_847_00304580
Lung: NSCLC
847
NCI-H2087
456
1.048994
0.368
0.402
0.458
0.4756
0.5065
0.683
0.7888
0.9774
0.9846


026_680_00298830
Lung: NSCLC
680
NCI-H727
456
1.334143
0.329
0.434
0.475
0.4492
0.5064
0.604
0.8522
0.9134
0.98


026_748_00304590
Lung: NSCLC
748
NCI-H226
456
1.690128
0.342
0.457
0.514
0.5901
0.7687
0.757
0.7854
1.0039
0.932


026_851_00298380
Lung: NSCLC
851
CAL-12T
456
1.708943
0.452
0.449
0.49
0.5839
0.7337
0.842
0.9205
0.938
0.9948


026_861_00300230
Lung: NSCLC
861
LCLC-97TM1
456
2.249036
0.424
0.573
0.622
0.7209
0.7517
0.873
1.0412
0.9724
0.974


026_1245_00304550
Lung: NSCLC
1245
NCI-H1648
456
2.511131
0.507
0.571
0.662
0.5623
0.7611
0.961
1.0696
1.0483
1.4204


026_1180_00308140
Lung: NSCLC
1180
NCI-H3122
456
2.550953
0.534
0.517
0.616
0.6044
0.7162
0.883
0.9512
0.9659
0.9657


026_802_00298451
Lung: NSCLC
802
NCI-H358
456
2.662533
0.509
0.53
0.626
0.7229
0.8072
0.806
0.8743
0.9218
0.9534


026_815_00311140
Lung: NSCLC
815
NCI-H1623
456
2.802368
0.523
0.592
0.685
0.6168
0.6264
0.746
0.872
0.8493
1.0805


026_1180_00302350
Lung: NSCLC
1180
NCI-H3122
456
2.945291
0.724
0.649
0.605
0.75
0.7455
0.913
0.9083
1.0538
1.1763


026_8040_00304501
Lung: NSCLC
8040
EKVX
456
3.134434
0.532
0.642
0.782
0.752
0.7074
0.804
0.9087
1.0521
1.0032


026_865_00308451
Lung: NSCLC
865
COR-L23
456
3.225036
0.58
0.657
0.735
0.83
0.9489
0.935
1.0144
1.0355
1.0002


026_1243_00304541
Lung: NSCLC
1243
NCI-H1395
456
3.23207
0.553
0.739
0.944
0.948
0.9289
0.926
0.9919
1.0441
1.1113


026_884_00308160
Lung: NSCLC
884
RERF-LC-MS
456
3.239905
0.585
0.663
0.662
0.6574
0.7423
0.886
0.9636
0.9621
0.9957


026_796_00295871
Lung: NSCLC
796
NCI-H2009
456
3.244878
0.582
0.62
0.631
0.635
0.7036
0.747
0.8586
0.9443
0.9943


026_799_00295880
Lung: NSCLC
799
NCI-H661
456
3.295179
0.667
0.587
0.685
0.6862
0.8151
0.782
1.0055
0.9053
0.9863


026_822_00311150
Lung: NSCLC
822
NCI-H1869
456
3.570833
0.153
0.716
0.736
0.7399
0.8095
0.819
1.026
0.9674
1.0055


026_756_00302670
Lung: NSCLC
756
BEN
456
3.65632
0.639
0.833
0.942
0.9322
0.9128
0.965
0.9486
1.0116
1.0192


026_876_00299781
Lung: NSCLC
876
LU65
456
3.69068
0.635
0.695
0.704
0.7208
0.8211
0.878
0.9851
1.0211
1.0551


026_805_00304531
Lung: NSCLC
805
NCI-H1155
456
3.716538
0.61
0.788
0.787
0.8467
0.9573
0.91
0.953
1.0683
1.0508


026_834_00304610
Lung: NSCLC
834
NCI-H2347
456
3.72347
0.653
0.736
0.756
0.8026
0.8524
0.984
0.9516
1.2251
1.0554


026_822_00304840
Lung: NSCLC
822
NCI-H1869
456
3.749478
0.594
0.736
0.791
0.7802
0.8592
0.824
0.8872
0.9703
1.0592


026_835_00302390
Lung: NSCLC
835
NCI-H2405
456
3.789193
0.693
0.659
0.651
0.6574
0.7337
0.768
0.8849
0.9046
1.0375


026_678_00304981
Lung: NSCLC
678
UMC-11
456
3.815948
0.655
0.751
0.848
0.8851
0.9411
1.013
0.9806
1.0842
1.1132


026_807_00314280
Lung: NSCLC
807
NCI-H650
456
3.884087
0.604
0.778
0.772
0.8577
0.8346
0.815
1.0068
0.831
0.9772


026_871_00299771
Lung: NSCLC
871
LK-2
456
3.898613
0.684
0.806
0.903
0.9071
0.958
1.018
0.9981
1.0604
1.0786


026_1249_00308150
Lung: NSCLC
1249
NCI-H720
456
3.907633
0.632
0.829
0.932
1.0847
1.526
0.799
0.8751
1.2042
1.1215


026_8231_00304510
Lung: NSCLC
8231
EMC-BAC-1
456
3.943946
0.675
0.713
0.751
0.8781
0.831
0.931
0.976
1.0569
1.0459


026_820_00304560
Lung: NSCLC
820
NCI-H1755
456
3.964037
0.658
0.769
0.785
0.8744
0.8799
0.931
0.9563
1.1261
1.0206


026_815_00304830
Lung: NSCLC
815
NCI-H1623
456
3.981628
0.646
0.709
0.712
0.7108
0.8124
0.879
0.7844
1.0245
1.0786


026_839_00302410
Lung: NSCLC
839
SW 900
456
3.982367
0.65
0.725
0.782
0.8242
0.8576
0.897
0.9535
1.0086
0.9978


026_804_00308480
Lung: NSCLC
804
NCI-H810
456
4.03318
0.731
0.763
0.91
0.9442
0.9087
1.003
0.9482
0.9716
1.0139


026_678_00309011
Lung: NSCLC
678
UMC-11
456
4.0744
0.514
0.846
0.86
0.931
0.9037
0.925
0.9312
0.9354
1.0786


026_842_00298540
Lung: NSCLC
842
NCI-H520
456
4.082969
0.729
0.811
0.916
1.0516
1.0142
1.002
1.0457
1.0025
0.9761


026_824_00314260
Lung: NSCLC
824
NCI-H1944
456
4.107799
0.695
0.731
0.691
0.7704
0.893
0.886
0.905
0.9791
1.0866


026_888_00298370
Lung: NSCLC
888
ABC-1
456
4.123019
0.64
0.676
0.717
0.7343
0.8328
0.84
0.8774
0.9195
0.9448


026_823_00298430
Lung: NSCLC
823
NCI-H1915
456
4.260241
0.691
0.707
0.702
0.7393
0.7957
0.834
0.9053
0.9612
0.9902


026_8232_00304520
Lung: NSCLC
8232
EMC-BAC-2
456
4.327709
0.712
0.795
0.825
0.8558
0.8815
0.959
0.9014
1.1842
1.0135


026_755_00300611
Lung: NSCLC
755
NCI-H1975
456
4.450033
0.666
0.968
0.963
0.9052
0.9346
0.928
0.9969
0.9681
0.973


026_868_00295440
Lung: NSCLC
868
PC-14
456
4.458594
0.726
0.893
0.842
0.8971
0.9361
1.057
0.9146
1.1281
0.933


026_872_00299750
Lung: NSCLC
872
HARA
456
4.480998
0.731
0.742
0.798
0.8152
0.8972
0.941
0.9735
1.0074
1.0301


026_800_00298441
Lung: NSCLC
800
NCI-H23
456
4.511394
0.702
0.698
0.786
0.7938
0.8549
0.889
0.9216
0.9447
1.013


026_836_00304620
Lung: NSCLC
836
NCI-H2444
456
4.530511
0.684
0.798
0.819
0.8507
0.863
0.86
0.9116
1.0106
1.0518


026_865_00296401
Lung: NSCLC
865
COR-L23
456
4.577187
0.791
0.78
0.815
0.8605
0.9148
0.924
1.1179
1.1287
1.1293


026_858_00300591
Lung: NSCLC
858
HCC-78
456
4.583505
0.703
0.983
0.936
1.06
0.9813
0.96
1.0028
0.9854
1.0584


026_854_00300681
Lung: NSCLC
854
EPLC-272H
456
4.590654
0.736
0.914
0.943
1.0019
1.0017
0.864
0.8937
0.9686
1.0373


026_837_00311160
Lung: NSCLC
837
NCI-H2122
456
4.595192
0.771
0.917
0.969
0.9878
0.9667
1.017
1.0165
1.0062
1.0324


026_8111_00308110
Lung: NSCLC
8111
LXF-289
456
4.689278
0.711
0.796
0.884
0.8648
0.868
0.89
0.9108
0.8979
0.9642


026_1136_00308471
Lung: NSCLC
1136
NCI-H1993
456
4.705234
0.725
0.768
0.682
0.7469
0.7866
0.883
0.9296
0.914
0.9652


026_827_00308860
Lung: NSCLC
827
NCI-H2085
456
4.711775
0.79
0.823
0.87
0.9311
0.924
1.007
0.967
1.0124
1.1093


026_859_00311090
Lung: NSCLC
859
HCC-827
456
4.735253
0.737
0.86
0.852
0.7863
0.8298
0.853
1.0366
1.1949
0.9783


026_886_00296261
Lung: NSCLC
886
EBC-1
456
4.744821
0.761
0.848
0.884
0.9053
0.9307
0.969
0.9903
0.9432
1.0947


026_8132_00308130
Lung: NSCLC
8132
NCI-H2126
456
4.781635
0.749
0.796
0.839
0.8331
0.8916
0.939
0.9049
0.9661
0.9286


026_793_00299711
Lung: NSCLC
793
NCI-H1781
456
4.904802
0.775
0.801
0.686
0.7429
0.7804
0.897
0.9136
0.9608
1.0112


026_1247_00314271
Lung: NSCLC
1247
NCI-H2291
456
4.945975
0.773
0.893
0.836
0.831
0.851
1.029
1.0615
0.9828
1.0493


026_860_00298400
Lung: NSCLC
860
LCLC-103H
456
4.97209
0.751
0.819
0.803
0.8985
0.8725
0.898
0.9606
0.9519
1.061


026_806_00300270
Lung: NSCLC
806
NCI-H647
456
5.044917
0.792
0.845
0.882
0.8698
0.8856
0.881
1.0769
0.9333
1.0648


026_877_00300630
Lung: NSCLC
877
PC-3 [JPC-3]
456
5.056812
0.847
0.832
0.968
0.9943
1.0985
1.01
1.0152
1.0063
1.1608


026_753_00298460
Lung: NSCLC
753
NCI-H460
456
5.061076
0.839
0.888
0.945
0.9015
1.041
1.039
1.021
0.9905
1.0126


026_844_00295461
Lung: NSCLC
844
SW 1573
456
5.077017
0.798
0.834
0.833
0.8824
0.8946
0.971
1.0223
0.9943
1.0074


026_8088_00314320
Lung: NSCLC
8088
KNS-62
456
5.130485
0.86
0.847
0.879
0.9874
0.9738
1.047
1.0602
1.0303
0.9876


026_848_00300641
Lung: NSCLC
848
SK-LU-1
456
5.2771
0.811
0.91
0.946
0.9174
0.9429
0.922
0.9544
1.0372
1.0115


026_864_00304961
Lung: NSCLC
864
COR-L 105
456
5.319498
0.718
0.78
0.762
0.8018
0.7683
0.837
0.9721
0.8644
0.9527


026_677_00298361
Lung: NSCLC
677
A549
456
5.414187
0.763
0.799
0.843
0.8595
0.9001
0.919
0.9405
0.9783
0.996


026_8207_00304810
Lung: NSCLC
8207
LC-1F
456
5.423228
0.825
0.794
0.845
0.8457
0.8483
0.976
0.8421
0.8626
0.9602


026_833_00299790
Lung: NSCLC
833
NCI-H2342
456
5.548934
0.856
0.888
0.917
0.9241
0.9293
1.015
0.9449
1.0616
0.9624


026_870_00299801
Lung: NSCLC
870
RERF-LC-KJ
456
5.685511
0.892
0.96
0.999
0.9623
1.0469
1.054
1.0305
1.0128
1.0476


026_845_00311341
Lung: NSCLC
845
NCI-H1838
456
5.711103
0.847
0.867
0.909
0.9088
0.9208
0.932
0.9775
0.9857
0.9755


026_8103_00306210
Lung: NSCLC
8103
LC-2-ad
456
5.718708
0.836
0.96
1.004
0.9427
1.0257
1.064
1.0682
0.9834
1.007


026_794_00300601
Lung: NSCLC
794
NCI-H1792
456
5.721238
0.339
0.904
0.992
0.9248
0.9615
1.005
0.9405
0.9595
1.0225


026_890_00300220
Lung: NSCLC
890
H3255
456
5.722728
0.903
0.862
0.844
0.9926
1.005
0.998
1.1503
1.1306
1.1501


026_862_00304820
Lung: NSCLC
862
LOU-NH91
456
5.738178
0.886
0.864
0.837
0.9386
0.9258
0.887
0.948
1.0561
1.1752


026_812_00298410
Lung: NSCLC
812
NCI-H1437
456
5.791603
0.894
0.946
0.993
0.9231
0.9704
1.003
1.0591
1.0305
1.0361


026_862_00316560
Lung: NSCLC
862
LOU-NH91
456
5.867157
0.871
0.905
0.923
0.9415
0.9143
0.955
0.9491
0.9721
0.9923


026_857_00296270
Lung: NSCLC
857
HCC-44
456
5.930045
0.904
0.868
0.893
0.9249
0.9348
0.956
1.0259
0.9727
1.0027


026_679_00296240
Lung: NSCLC
679
ChaGo-K-1
456
5.965866
0.878
0.915
0.949
0.8968
0.942
0.953
0.9732
0.9711
1.0338


026_791_00298421
Lung: NSCLC
791
NCI-H1650
456
5.971987
0.888
0.896
0.979
0.9429
0.9543
0.921
0.9516
0.9551
0.9966


026_864_00311551
Lung: NSCLC
864
COR-L 105
456
5.975297
0.765
0.838
0.843
0.8384
0.8225
0.848
0.8917
0.8749
0.9811


026_846_00300620
Lung: NSCLC
846
NCI-H2030
456
6.014339
0.886
0.979
0.985
0.9316
1.0428
0.925
0.9778
1.056
0.9904


026_841_00296291
Lung: NSCLC
841
NCI-H2170
456
6.01763
0.897
0.938
0.928
0.9356
0.9557
0.955
1.0968
1.0708
1.0963


026_813_00308231
Lung: NSCLC
813
NCI-H1563
456
6.06364
0.856
0.979
0.977
0.9369
0.9242
0.912
0.8859
0.9059
0.8856


026_816_00295860
Lung: NSCLC
816
NCI-H1651
456
6.160326
0.864
1.039
1.026
1.008
1.0776
0.871
1.0553
1.0199
0.9978


026_818_00308241
Lung: NSCLC
818
NCI-H1703
456
6.172519
0.946
0.829
0.858
0.9042
0.9197
0.887
0.9097
0.9729
0.9634


026_808_00296300
Lung: NSCLC
808
NCI-H838
456
6.172929
0.922
0.941
0.955
1.022
0.964
1.043
1.0358
1.0134
1.0658


026_855_00302330
Lung: NSCLC
855
HCC-15
456
6.195295
0.868
0.911
0.901
0.8895
0.9071
0.95
0.9608
1.0091
1.0383


026_803_00298470
Lung: NSCLC
803
NCI-H522
456
6.200929
0.878
0.933
0.953
0.8695
0.9015
0.833
0.8882
0.8789
1.1066


026_832_00303110
Lung: NSCLC
832
NCI-H2228
456
6.240586
0.908
0.872
0.907
0.9005
0.9724
0.974
0.9776
0.9706
0.968


026_874_00308171
Lung: NSCLC
874
RERF-LC-Sq1
456
6.282697
1.064
0.854
0.829
0.8009
0.8914
0.943
0.8612
0.9931
0.9393


026_879_00308101
Lung: NSCLC
879
LU99A
456
6.327465
0.881
0.987
0.995
1.0199
0.9725
0.948
0.9588
0.9756
0.9692


026_856_00299760
Lung: NSCLC
856
HCC-366
456
6.328052
0.936
0.943
0.959
1.0286
0.9991
1.002
1.0072
1.0077
1.0015


026_798_00304790
Lung: NSCLC
798
Calu-3
456
6.338698
0.926
0.986
0.869
0.9635
1.0683
1.166
1.1053
1.1123
1.1003


026_825_00308250
Lung: NSCLC
825
NCI-H2023
456
6.435057
0.938
0.885
0.929
0.961
0.9166
0.959
0.9502
0.9835
0.9846


026_8072_00306200
Lung: NSCLC
8072
HOP-62
456
6.481774
0.973
0.958
0.931
0.9405
0.9799
0.901
1.0374
0.9717
1.1512


026_843_00296331
Lung: NSCLC
843
SK-MES-1
456
6.499026
0.91
0.99
0.934
0.9509
0.9694
1.003
0.9804
0.9674
1.0295


026_1251_00318710
Lung: NSCLC
1251
NCI-H835
456
6.684349
0.964
1.054
0.854
0.9853
0.77
0.963
0.8714
0.9637
1.1416


026_816_00302370
Lung: NSCLC
816
NCI-H1651
456
6.769433
0.903
1.072
1.021
1.002
1.0583
0.94
1.0664
1.0462
1.0774


026_801_00295941
Lung: NSCLC
801
NCI-H1299
456
6.808075
1.036
0.898
0.912
0.9194
0.9832
0.955
1.0252
0.9946
1.085


026_850_00311050
Lung: NSCLC
850
201T
456
6.874432
0.942
0.957
0.988
0.989
0.9596
0.985
0.9759
0.9839
0.9726


026_818_00309001
Lung: NSCLC
818
NCI-H1703
456
7.192409
0.889
0.857
0.855
0.8355
0.8207
0.856
0.8191
0.9124
0.9468


026_1247_00304851
Lung: NSCLC
1247
NCI-H2291
456
7.252153
1.162
1.047
0.877
1.034
0.8759
0.6949
1.2149
1.0391
1.1021


026_819_00306250
Lung: NSCLC
819
NCI-H1734
456
7.342705
1.046
1.007
1.012
1.018
0.9902
0.945
0.9742
0.9718
1.0221


026_821_00306261
Lung: NSCLC
821
NCI-H1793
456
7.345651
1.015
1.1
1.058
1.0171
1.0121
1.065
10.342
1.0776
1.0468


026_798_00308080
Lung: NSCLC
798
Calu-3
456
7.389624
1.032
1
0.914
0.9927
1.0342
1.004
1.0095
0.9327
0.938


026_678_00306181
Lung: NSCLC
678
UMC-11
456
7.458364
1.03
1.058
1.054
1.0958
1.0021
1.03
1.0784
1.0779
1.0688


026_797_00308730
Lung: NSCLC
797
NCI-H596
456
7.556662
1.124
1.076
0.92
0.9992
0.9285
0.936
0.911
1.0276
0.8862


026_790_00306231
Lung: NSCLC
790
NCI-H1573
456
7.606756
1.049
1
1.054
1.0146
1.0291
0.99
1.0304
1.0221
1.0512


026_752_00306191
Lung: NSCLC
752
A-427
456
7.608444
1.109
0.988
1.054
1.0224
0.9429
1.084
1.0956
1.0273
1.0528


026_845_00306271
Lung: NSCLC
845
NCI-H1838
456
7.666847
1.074
1.08
1.064
1.0779
1.0805
1.046
1.0674
0.9941
1.02


026_8133_00306280
Lung: NSCLC
8133
NCI-H322M
456
7.713112
1.158
1.06
1.135
1.1499
1.1305
1.103
1.1464
1.1475
1.0913


026_8130_00306220
Lung: NSCLC
8130
NCI-H1355
456
7.765888
1.12
1.188
1.002
0.9001
0.8103
1.095
0.9608
0.9714
0.9997


026_683_00306241
Lung: NSCLC
683
NCI-H1581
456
7.774034
1.163
1.024
0.949
1.0959
1.0605
1.114
1.0118
0.9537
0.9212


026_792_00306140
Lung: NSCLC
792
NCI-H1666
456
7.825548
1.136
1.069
1.132
1.0901
1.0688
1.097
1.0684
1.0463
1.1115


026_840_00306151
Lung: NSCLC
840
NCI-H441
456
7.946249
1.088
1.059
1.052
1.0622
1.0476
1.049
1.0439
1.045
1.0714


026_8075_00306131
Lung: NSCLC
8075
IA-LM
456
7.984543
1.046
1.042
1.043
1.0424
1.0323
1.048
1.0441
1.0279
1.0694


026_61_00285570
Lymphoma
61
JSC-1
456
0.316646
0.313
0.329
0.341
0.3908
0.5654
0.63
0.724
0.8346
0.8527


026_8222_00291350
Lymphoma
8222
H9
456
0.402947
0.102
0.284
0.272
0.3996
0.5762
0.732
0.8412
0.8346
0.8529


026_140_00291320
Lymphoma
140
A3/KAW
456
0.717935
0.185
0.296
0.408
0.4762
0.5561
0.736
0.8297
0.8761
0.8425


026_237_00291380
Lymphoma
237
SU-DHL-16
456
0.982467
0.155
0.278
0.405
0.5737
0.6759
0.816
0.9129
0.9363
0.9318


026_220_00288720
Lymphoma
220
OCI-LY-19
456
1.28484
0.324
0.393
0.455
0.5338
0.6443
0.826
0.9343
0.9969
1.073


026_257_00285640
Lymphoma
257
WIL2 NS
456
1.523653
0.32
0.456
0.509
0.6199
0.6926
0.771
0.8518
0.9524
0.934


026_239_00288750
Lymphoma
239
SU-DHL-5
456
1.616577
0.174
0.577
0.461
0.7856
0.7368
0.845
0.9512
0.9535
1.2005


026_124_00287850
Lymphoma
124
BC-1
456
1.816766
0.239
0.53
0.6
0.6778
0.8612
0.946
0.9754
0.9846
1.0038


026_104_00287960
Lymphoma
104
TUR
456
2.217781
0.396
0.51
0.597
0.7468
0.9062
0.94
0.9822
0.9761
1.0165


026_8199_00291330
Lymphoma
8199
CTB-1
456
2.341488
0.445
0.509
0.654
0.6993
0.7792
0.767
0.8214
0.8543
0.9676


026_69_00283480
Lymphoma
69
CA46
456
2.43077
0.358
0.6
0.775
0.78
0.8817
0.896
0.9912
0.9446
0.9358


026_112_00285620
Lymphoma
112
SR
456
2.466522
0.224
0.573
0.653
0.7668
0.8482
0.866
0.9087
0.9409
0.9255


026_241_00288760
Lymphoma
241
SU-DHL-8
456
2.509783
0.398
0.583
0.743
0.8249
0.935
0.956
1.0439
0.9903
1.0527


026_255_00285610
Lymphoma
255
Sci-1
456
2.705483
0.445
0.61
0.788
0.9473
0.9153
1.003
0.9035
0.8642
0.8757


026_62_00293930
Lymphoma
62
IM-9
456
2.809638
0.572
0.562
0.594
0.6839
0.7773
1.18
0.876
1.0089
1.0329


026_93_00287880
Lymphoma
93
HH
456
2.828886
0.523
0.575
0.731
0.804
0.9283
0.948
0.9965
0.999
1.0069


026_216_00290710
Lymphoma
216
NU-DUL-1
456
2.880782
0.459
0.664
0.767
0.8093
0.7784
0.884
0.9338
0.9363
0.9519


026_123_00287860
Lymphoma
123
BC-3
456
2.893681
0.495
0.678
0.776
0.9051
1.0108
1.003
1.0056
0.9841
0.9941


026_113_00288520
Lymphoma
113
DB
456
2.901204
0.479
0.705
0.868
0.9097
0.9559
0.984
1.0104
0.992
1.0316


026_8035_00303290
Lymphoma
8035
DOHH-2
456
2.927461
0.508
0.78
0.831
0.8009
0.9998
0.997
1.0295
0.9393
1.0203


026_240_00300290
Lymphoma
240
SU-DHL-6
456
2.933827
0.208
0.663
0.733
0.7473
0.7814
0.839
0.8554
0.9327
1.029


026_248_00285630
Lymphoma
248
VAL
456
2.964017
0.528
0.639
0.739
0.9112
0.9265
0.96
1.0023
0.9827
0.9859


026_162_00290790
Lymphoma
162
HDLM-2
456
2.980685
0.56
0.811
0.678
0.7341
0.7627
0.782
0.7915
0.9638
0.7387


026_105_00287940
Lymphoma
105
RPMI 6666
456
3.064381
0.516
0.701
0.691
0.7257
0.8234
0.904
0.9883
1.0013
1.033


026_240_00302920
Lymphoma
240
SU-DHL-6
456
3.114948
0.326
0.629
0.741
0.7802
0.8119
0.831
0.9347
0.921
0.9838


026_163_00287730
Lymphoma
163
HD-MY-Z
456
3.123344
0.582
0.606
0.654
0.6825
0.785
0.896
0.9395
0.98
1.0207


026_139_00283530
Lymphoma
139
MC116
456
3.12577
0.085
0.686
0.917
0.9565
0.9611
0.99
0.9875
0.9789
0.9559


026_133_00293941
Lymphoma
133
NK-92MI
456
3.297366
0.637
0.637
0.757
0.8911
0.8633
1.136
1.0548
0.89
0.9001


026_282_00287750
Lymphoma
282
P32/ISH
456
3.328203
0.416
0.744
0.875
0.8947
0.8754
0.907
0.9959
0.9144
0.9277


026_80_00287950
Lymphoma
80
ST486
456
3.520498
0.263
0.688
0.699
0.7969
0.8071
0.904
0.8902
0.9142
1.017


026_73_00283500
Lymphoma
73
EB-3
456
3.528971
0.566
0.739
0.806
0.8214
0.8547
1.09
0.8321
0.8619
0.8548


026_60_00287891
Lymphoma
60
JM1
456
3.618767
0.577
0.678
0.734
0.7932
0.8209
0.833
0.8444
0.8567
0.902


026_185_00288820
Lymphoma
185
L-540
456
3.666174
0.626
0.88
0.936
1.0302
1.0245
1.037
1.0524
1.0175
1.0525


026_70_00283490
Lymphoma
70
Daudi
456
3.687192
0.603
0.789
0.925
0.8867
0.9929
0.987
0.8586
0.9555
0.8243


026_228_00291370
Lymphoma
228
RC-K8
456
3.710403
0.605
0.678
0.732
0.7776
0.8387
0.943
0.9437
0.9368
0.9149


026_74_00285600
Lymphoma
74
Raji
456
3.736373
0.639
0.768
0.89
0.8258
0.9671
0.97
0.9444
0.9665
1.046


026_173_00288920
Lymphoma
173
KARPAS-422
456
3.812903
0.638
0.787
0.876
0.8937
0.8652
0.959
0.9976
0.9896
1.005


026_125_00287910
Lymphoma
125
MC/CAR
456
3.860302
0.687
0.792
0.873
0.8871
1.009
1.011
0.9976
0.987
1.0162


026_280_00285420
Lymphoma
280
SCC-3
456
3.903427
0.648
0.86
0.895
0.9301
0.9335
0.934
1.0707
0.9
0.9445


026_242_00288770
Lymphoma
242
SUP-HD1
456
4.023177
0.671
0.815
0.875
0.8573
0.8914
0.965
1.0137
0.9754
1.1043


026_160_00285410
Lymphoma
160
GRANTA-519
456
4.112789
0.631
0.706
0.761
0.7798
0.7991
0.771
0.9167
0.9366
0.9971


026_144_00287710
Lymphoma
144
BL-41
456
4.441898
0.536
1.076
0.941
0.9045
0.8922
0.893
0.9542
0.9696
1.0289


026_184_00290800
Lymphoma
184
L-428
456
4.489131
0.614
0.705
0.723
0.7315
0.7351
0.721
1.0011
0.7501
0.8687


026_128_00290690
Lymphoma
128
Farage
456
4.585156
0.766
0.834
0.861
0.8151
0.9324
0.908
1.3723
1.1697
1.2229


026_250_00285660
Lymphoma
250
WSU-NHL
456
4.693667
0.719
0.765
0.866
0.8242
0.9178
0.947
0.9725
0.9585
0.9714


026_182_00290700
Lymphoma
182
L-1236
456
4.714251
0.76
0.859
0.875
0.8522
0.9702
0.962
1.0483
0.9432
1.3018


026_95_00283510
Lymphoma
95
HT
456
4.721481
0.719
0.842
0.88
0.8266
0.8534
0.902
1.0348
0.9564
0.966


026_264_00288840
Lymphoma
264
TK
456
4.750226
0.794
0.966
0.936
0.9709
1.0212
1.024
1.0348
1.0318
1.0681


026_266_00287760
Lymphoma
266
SLVL
456
4.90866
0.731
0.786
0.794
0.8012
0.8742
0.873
0.9435
0.9199
0.977


026_75_00282830
Lymphoma
75
Jiyoye
456
4.937844
0.801
0.99
0.974
1.0523
1.196
1.107
1.0641
1.1044
1.0749


026_111_00291360
Lymphoma
111
Hs 445
456
5.022248
0.704
0.734
0.703
0.794
0.7451
0.779
0.8243
0.8675
0.946


026_8151_00288540
Lymphoma
8151
Ramos-2G6-4C10
456
5.147746
0.242
0.868
0.954
0.9827
1.022
0.974
0.9967
0.9674
1.0529


026_156_00287720
Lymphoma
156
DG-75
456
5.222394
0.834
1.001
1.03
1.0349
0.9848
0.996
1.012
0.9965
0.9857


026_243_00296620
Lymphoma
243
SUP-M2
456
5.25553
0.648
0.88
0.96
0.9351
0.9518
0.968
0.9742
0.9627
0.9659


026_86_00287870
Lymphoma
86
EB2
456
5.287284
0.86
1.017
1.01
1.0356
1.0217
1.05
1.0267
1.0118
1.0227


026_162_00288790
Lymphoma
162
HDLM-2
456
5.425219
0.877
0.903
0.797
0.9228
1.0293
1.043
1.0157
1.0517
1.0837


026_172_00287740
Lymphoma
172
KARPAS-299
456
5.433867
0.832
0.891
0.95
0.9494
0.955
0.954
0.9499
0.9633
0.9487


026_235_00285430
Lymphoma
235
SU-DHL-1
456
6.401484
0.885
0.997
0.987
0.9424
0.9387
0.884
0.8642
0.9464
0.9439


026_143_00288690
Lymphoma
143
AMO-1
456
6.692908
0.924
1.025
1.129
1.034
1.1112
1.034
1.0278
1.0136
1.0255


026_193_00288830
Lymphoma
193
MHH-PREB-1
456
6.799634
0.622
0.958
1.012
1.0149
1.0368
1.025
1.0064
0.9803
0.989


026_236_00288730
Lymphoma
236
SU-DHL-10
456
6.99662
0.175
0.993
1.05
1.0763
1.0476
1.029
1.0509
1.0397
1.0494


026_81_00288530
Lymphoma
81
GA-10
456
7.031749
0.608
1.003
1.009
1.1031
1.0252
1.021
1.0113
1.0077
1.0848


026_251_00287840
Lymphoma
251
YT
456
7.411746
0.64
0.986
1.008
1.0201
1.0204
1.022
1.0267
0.9848
1.0079


026_178_00288810
Lymphoma
178
KM-H2
456
7.739504
1.008
1.009
0.976
1.0197
1.0404
1.036
1.0412
1.0156
1.0276


026_249_00285650
Lymphoma
249
WSU-DLCL2
456
8.212885
1.047
1.226
1.172
1.1142
1.0869
1.071
0.9837
1.0247
1.0207


026_238_00288740
Lymphoma
238
SU-DHL-4
456
8.647656
1.061
1.077
1.045
1.0257
1.0384
1.029
1.0236
1.018
1.0204


026_131_00287930
Lymphoma
131
RL
456
8.679308
1.124
1.094
1.048
1.024
1.0293
1.012
1.0293
0.9824
1.0061


026_915_00269070
Miscellaneous
915
Hs 633T
456
1.797943
0.344
0.532
0.607
0.6061
0.6357
0.736
0.8936
1.0346
1.1375


026_911_00269060
Miscellaneous
911
GCT
456
2.424125
0.433
0.617
0.642
0.6508
0.655
0.804
0.7763
0.9066
0.9967


026_8172_00269460
Miscellaneous
8172
SW872
456
3.196748
0.511
0.716
0.719
0.7459
0.8264
0.881
0.9107
0.9313
1.0224


026_913_00271970
Miscellaneous
913
JAR
456
3.876744
0.685
0.695
0.794
0.851
0.9936
1.011
0.9013
1.0881
1.0491


026_8194_00271980
Miscellaneous
8194
JEG-3
456
3.901223
0.623
0.808
0.876
0.9097
0.9037
0.874
0.9014
0.943
1.1354


026_8171_00269120
Miscellaneous
8171
SW684
456
3.978538
0.693
0.91
0.98
1.1114
1.0275
1.032
0.9881
0.9218
1.0725


026_8112_00269450
Miscellaneous
8112
MFH-ino
456
4.013788
0.691
0.674
0.795
0.8068
0.8378
0.91
0.9824
1.0389
1.0625


026_916_00271320
Miscellaneous
916
HT 1080
456
4.254215
0.695
0.804
0.766
0.7943
0.8276
0.873
1.1135
1.1006
1.1093


026_8004_00271280
Miscellaneous
8004
A388
456
4.494172
0.743
0.793
0.841
0.8441
0.8899
0.888
1.1408
0.925
1.1327


026_8112_00271340
Miscellaneous
8112
MFH-ino
456
4.624376
0.721
0.732
0.741
0.7501
0.7753
0.799
1.017
0.9044
1.0866


026_8004_00269400
Miscellaneous
8004
A388
456
4.778414
0.747
0.764
0.776
0.8164
0.8628
0.861
0.9217
0.8924
1.0697


026_8192_00269470
Miscellaneous
8192
VA-ES-BJ
456
4.956405
0.78
0.867
0.874
0.984
0.9192
0.889
0.9737
1.0227
1.0186


026_8194_00269440
Miscellaneous
8194
JEG-3
456
5.058221
0.786
0.87
1.048
0.908
0.8876
0.984
0.8804
1.0294
1.0609


026_913_00269430
Miscellaneous
913
JAR
456
5.170211
0.816
0.841
0.849
0.8709
0.8661
0.88
1.0502
1.0585
1.0591


026_916_00269420
Miscellaneous
916
HT 1080
456
5.302771
0.831
0.891
0.904
0.9053
0.9327
0.978
0.9465
1.1023
1.1108


026_8175_00269140
Miscellaneous
8175
SW982
456
5.586364
0.832
0.968
0.988
1.1946
1.0638
1.017
1.0728
1.1006
1.2781


026_1225_00269660
Muscle
1225
RD
456
2.694207
0.612
0.595
0.602
0.575
0.6051
0.678
0.8404
0.9183
0.947


26_135_00271680
Muscle
135
SJCRH30
456
2.740947
0.247
0.61
0.713
0.8654
0.8633
0.854
0.9433
0.9991
1.105


026_924_00269640
Muscle
924
A673
456
2.779569
0.563
0.554
0.607
0.6884
0.7085
0.808
0.8122
0.8796
0.9437


26_562_00271660
Muscle
562
KYM-1
456
2.818237
0.433
0.665
0.727
0.7663
0.7943
0.835
0.9132
0.9948
0.9596


026_135_00271410
Muscle
135
SJCRH30
456
3.059385
0.345
0.672
0.79
0.8395
0.8741
0.957
0.9768
1.032
1.1796


026_923_00269680
Muscle
923
RH-41
456
3.133389
0.309
0.65
0.731
0.7895
0.6971
0.795
0.7303
0.9458
0.9325


026_562_00270060
Muscle
562
KYM-1
456
3.396905
0.586
0.748
0.78
0.8707
0.8698
0.955
1.0372
1.0323
1.0217


026_920_00269670
Muscle
920
RH-1
456
3.433085
0.581
0.772
0.846
0.9032
0.9238
0.951
0.9496
0.9615
0.9852


026_135_00270070
Muscle
135
SJCRH30
456
3.759361
0.326
0.727
0.825
0.8737
0.9084
0.931
0.9701
0.9946
0.9435


026_919_00269630
Muscle
919
A-204
456
5.25605
0.778
0.798
0.868
0.8744
0.861
0.89
0.9735
0.9392
0.9765


026_921_00285151
Muscle
921
RH-18
456
5.863422
0.84
0.987
0.961
0.9653
0.9811
0.903
0.8875
0.9228
0.9815


026_8182_00293791
Muscle
8182
TE-441-T
456
6.133177
0.848
1.001
1.103
1.0954
1.1007
0.855
0.8882
1.0698
0.8069


026_369_00258500
Nervous System
369
CHP-212
456
−4.151196
0.165
0.184
0.183
0.1873
0.1985
0.219
0.2948
0.3285
0.4946


026_390_00262920
Nervous System
390
NB69
456
−1.3827
0.056
0.074
0.068
0.0948
0.096
0.163
0.4343
0.6938
0.8833


026_629_00316570
Nervous System
629
NB(TU)1-10
456
−0.654294
0.322
0.361
0.388
0.398
0.4347
0.594
0.7533
0.6321
0.6782


026_366_00257090
Nervous System
366
BE(2)-M17
456
−0.258429
0.204
0.352
0.333
0.3872
0.4128
0.547
0.6415
0.7687
0.9298


026_384_00314240
Nervous System
384
MHH-NB-11
456
1.316182
0.368
0.42
0.48
0.6318
0.5903
0.783
0.7802
0.9243
0.5317


026_385_00314290
Nervous System
385
SIMA
456
1.359572
0.402
0.496
0.488
0.5135
0.6006
0.629
0.8787
0.8808
1.0864


026_630_00264810
Nervous System
630
NH-12
456
1.516245
0.143
0.443
0.537
0.5763
0.6816
0.684
0.7263
0.9504
0.791


026_8124_00308720
Nervous System
8124
NB14
456
1.784337
0.802
0.401
0.6
0.6379
0.6871
0.943
0.8827
0.8247
0.9343


026_639_00271120
Nervous System
639
GOTO
456
1.784838
0.174
0.52
0.54
0.6353
0.6485
0.726
0.9341
0.8908
1.1295


026_8094_00314230
Nervous System
8094
LAN-6
456
1.824343
0.55
0.565
0.476
0.5734
0.6862
0.656
0.7893
0.9264
0.7016


026_8076_00260401
Nervous System
8076
IMR-5
456
1.864038
0.346
0.489
0.575
1.2246
0.8619
0.823
1.0781
0.7607
0.8894


026_8127_00258950
Nervous System
8127
NB5
456
2.106125
0.202
0.628
0.611
0.6823
0.725
0.845
0.9541
0.9703
1.0012


026_8124_00311130
Nervous System
8124
NB14
456
2.216808
0.544
0.563
0.516
0.5711
0.5857
0.776
0.9014
0.9091
1.0395


026_8126_00264800
Nervous System
8126
NB17
456
2.289546
0.347
0.54
0.684
0.7567
0.8851
0.929
0.8729
0.9752
0.9196


026_641_00308180
Nervous System
641
TGW
456
2.326645
0.456
0.502
0.593
0.7234
0.8006
0.88
0.9296
0.9651
0.9821


026_8121_00256290
Nervous System
8121
NB10
456
2.356578
0.646
0.568
0.562
0.5835
0.6642
0.613
0.5487
0.6035
1.0005


026_8220_00308810
Nervous System
8220
KP-N-YN
456
2.470465
0.366
0.619
0.752
0.7815
0.7642
0.87
0.8457
0.8335
0.8942


026_8090_00263920
Nervous System
8090
KP-N-YS
456
2.547617
0.267
0.583
0.69
0.9135
0.905
0.924
0.9505
0.9232
1.012


026_363_00252730
Nervous System
363
SK-N-FI
456
2.667265
0.519
0.583
0.574
0.6332
0.5059
0.571
0.7766
0.6898
0.9188


026_382_00311110
Nervous System
382
KELLY
456
3.39659
0.518
0.757
0.767
0.7123
0.7538
0.883
0.8718
0.8733
0.9755


026_8064_00259120
Nervous System
8064
GI-ME-N
456
3.426922
0.582
0.763
0.78
0.8295
0.8371
0.955
1.0539
1.0652
1.104


026_8195_00318640
Nervous System
8195
CHP-134
456
3.519288
0.6
0.8
0.86
0.909
0.9931
0.919
0.9533
0.941
1.0273


026_382_00308690
Nervous System
382
KELLY
456
3.678148
0.59
0.706
0.666
0.7413
0.8277
0.814
0.8335
0.8742
0.9843


026_8129_00314250
Nervous System
8129
NB7
456
3.824042
0.644
0.861
0.945
0.972
0.9655
0.998
1.0941
1.0771
1.0471


026_8126_00280241
Nervous System
8126
NB17
456
3.845261
0.611
0.771
0.746
1.0569
0.8567
0.864
0.9408
0.9041
0.972


026_8007_00252850
Nervous System
8007
ACN
456
3.989797
0.411
0.72
0.821
0.7359
0.7717
0.797
0.8528
1.0702
0.9564


026_8122_00273460
Nervous System
8122
NB12
456
4.358809
0.15
0.809
0.911
0.9912
0.9113
1.021
0.9055
0.8723
1.0083


026_8226_00252530
Nervous System
8226
NBsusSR
456
4.365592
1.14
0.81
0.878
0.6567
0.6737
0.94
0.7615
0.8399
1.1136


026_8064_00256670
Nervous System
8064
GI-ME-N
456
4.809816
0.398
0.871
0.839
0.9402
0.8757
0.96
0.9284
0.9838
1.0451


026_8128_00257200
Nervous System
8128
NB6
456
4.886145
0.836
0.93
0.956
1.0121
0.9926
1.008
0.9893
0.9944
0.9472


026_8123_00256300
Nervous System
8123
NB13
456
5.775254
0.837
1.028
1.034
0.9756
1.0272
0.974
0.9893
0.9781
0.9486


026_396_00261020
Nervous System
396
NB-1
456
5.873385
0.813
1.039
0.892
0.8527
0.9085
0.934
0.9583
0.9709
1.0441


026_370_00252740
Nervous System
370
SK-N-SH
456
6.176056
0.926
0.811
0.891
1.0803
2.0427
1.01
0.892
0.9269
0.9864


026_364_00252720
Nervous System
364
SK-N-DZ
456
6.251974
0.895
1.012
0.958
1.0963
0.9642
0.976
1.0005
0.9787
0.9774


026_370_00258530
Nervous System
370
SK-N-SH
456
6.266144
0.36
0.933
1.052
1.0961
1.0754
0.948
0.9798
1.0134
0.9668


026_362_00252710
Nervous System
362
SK-N-AS
456
6.874316
0.911
1.075
0.916
1.0354
0.9179
0.939
1.178
0.9451
0.9362


026_368_00252700
Nervous System
368
MC-IXC
456
6.982443
0.084
0.616
1.087
1.1559
1.0678
1.11
1.0784
0.9917
0.9902


026_8122_00262490
Nervous System
8122
NB12
456
7.149853
0.063
0.973
1.019
1.3067
1.0528
0.999
1.4063
0.9955
0.9632


026_934_00287430
Ovary
934
A2780
456
−0.227264
0.302
0.3
0.342
0.3503
0.3758
0.467
0.7239
0.7489
0.9268


026_1126_00293760
Ovary
1126
OV-90
456
0.856076
0.323
0.361
0.384
0.4703
0.5785
0.701
0.8275
0.885
0.873


026_1129_00290660
Ovary
1129
TOV-112D
456
2.270257
0.47
0.481
0.592
0.7498
0.7692
0.925
0.9217
0.9942
1.1258


026_1220_00291150
Ovary
1220
ES-2
456
2.397868
0.584
0.504
0.584
0.5655
0.9851
0.957
1.1602
1.1706
1.0966


026_949_00290350
Ovary
949
TYK-nu
456
2.489488
0.511
0.577
0.587
0.5768
0.6153
0.686
0.7718
1.0687
1.0378


026_925_00290850
Ovary
925
IGROV-1
456
2.753994
0.494
0.608
0.578
0.7594
0.7462
0.857
0.9169
0.8966
0.8943


026_8244_00314220
Ovary
8244
JHOS-4
456
2.779507
0.63
0.601
0.597
0.6381
0.7711
0.88
0.955
0.9128
0.9028


026_8279_00293400
Ovary
8279
UWB1.289
456
2.893774
0.764
0.625
0.723
0.7182
0.783
1.079
0.9597
1.044
1.0467


026_940_00290340
Ovary
940
RMG-I
456
3.11591
0.587
0.604
0.66
0.6995
0.6871
0.846
0.8531
0.9424
1.0257


26_8238_00304370
Ovary
8238
IOSE-364-
456
3.149354
0.505
0.763
0.761
0.7451
0.8102
0.848
1.0558
1.0226
1.0295


026_8237_00295840
Ovary
8237
Hey
456
3.317969
0.551
0.783
0.688
0.776
0.8484
0.917
1.1038
1.0681
1.1892


026_8260_00292720
Ovary
8260
PEO1
456
3.508406
0.648
0.61
0.642
0.7269
0.6891
0.74
1.0027
0.9408
0.9148


026_8230_00303100
Ovary
8230
DOV13
456
3.68994
0.636
0.73
0.886
0.851
0.9406
0.961
0.9388
0.9681
1.0998


026_8230_00292650
Ovary
8230
DOV13
456
3.809459
0.641
0.685
0.768
0.9488
0.8764
0.863
0.9076
0.9226
1.0565


026_8092_00295850
Ovary
8092
KURAMOCHI
456
3.819916
0.757
0.729
0.642
0.6589
0.7541
0.914
0.9211
1.0035
1.0531


026_8240_00291160
Ovary
8240
IOSE-523-
456
3.834885
0.676
0.747
0.827
0.9249
0.9868
1
0.9181
0.9742
1.0197


026_932_00291140
Ovary
932
EFO-27
456
3.943589
0.65
0.668
0.65
0.7216
0.7753
0.887
0.9104
0.9136
0.9152


026_8084_00292670
Ovary
8084
KGN
456
4.00968
0.776
0.686
0.68
0.804
0.816
0.93
0.911
0.9826
0.9092


026_1125_00290571
Ovary
1125
Caov-3
456
4.050855
0.676
0.787
0.855
0.951
0.9041
1.029
0.9092
0.8992
1.0107


026_8256_00292920
Ovary
8256
OV-7
456
4.064163
0.666
0.844
0.821
0.9099
0.9293
0.961
1.0098
0.9638
0.9379


026_8241_00292900
Ovary
8241
IOSE-75-16SV40
456
4.094216
0.698
0.804
0.834
0.8672
0.894
1.02
1.0443
1.0711
1.107


026_938_00287450
Ovary
938
OAW42
456
4.158942
0.689
0.707
0.728
0.8613
0.7453
0.912
0.7815
1.0258
1.0515


026_1235_00298501
Ovary
1235
Caov-4
456
4.19878
0.673
0.815
0.851
0.7794
0.8482
0.895
1.0046
1.0048
0.9449


026_1221_00293780
Ovary
1221
SW 626
456
4.261643
0.636
0.704
0.69
0.6894
0.7014
0.755
0.8172
0.8859
1.0281


026_933_00295510
Ovary
933
FU-OV-1
456
4.35795
0.921
0.786
0.66
0.785
0.7855
0.932
1.0797
1.0643
1.0563


026_8259_00292710
Ovary
8259
OVK-18
456
4.419332
0.714
0.849
0.926
0.7816
0.8328
1.11
1.0158
0.9241
1.1619


026_8242_00295400
Ovary
8242
JHOS-2
456
4.46038
0.744
0.845
0.843
0.8069
0.9687
1.09
0.9491
1.0683
1.0333


026_1128_00292620
Ovary
1128
PA-1
456
4.524728
0.741
0.875
0.809
0.8925
0.9409
1.005
1.0033
1.0111
1.0682


026_938_00290330
Ovary
938
OAW42
456
4.600882
0.772
0.772
0.843
0.9103
0.8456
1.001
1.0305
1.0314
1.0721


026_8148_00292700
Ovary
8148
OVCAR-4
456
4.649732
0.715
0.824
0.723
0.6704
0.8391
0.855
0.9034
1.0922
1.0169


026_8243_00295410
Ovary
8243
JHOS-3
456
4.699022
0.801
0.758
0.691
0.7427
0.8184
0.86
1.0104
0.9653
1.0478


026_1130_00308501
Ovary
1130
TOV-21G
456
4.743414
0.744
0.838
0.882
0.8952
0.9369
0.922
0.9212
0.9456
0.9683


026_931_00252940
Ovary
931
EFO-21
456
4.786052
0.749
0.962
0.957
1.0202
1.0143
0.983
0.9976
0.9688
0.9523


026_931_00290820
Ovary
931
EFO-21
456
4.852802
0.791
0.924
0.954
0.9827
1.0247
0.961
0.9353
0.9274
0.9237


026_932_00288450
Ovary
932
EFO-27
456
4.890908
0.759
0.729
0.783
0.7813
0.828
0.851
0.9362
1.0032
1.0515


026_8258_00291180
Ovary
8258
OVCA433
456
4.901177
0.703
0.713
0.753
0.7366
0.79
0.864
0.9468
0.9244
0.9669


026_928_00290870
Ovary
928
OVCAR-5
456
4.903025
0.791
0.718
0.699
0.6913
0.7147
0.8
0.831
0.8925
0.9149


026_8257_00293650
Ovary
8257
OVCA420
456
4.98883
0.716
0.738
0.79
0.8055
0.8238
0.819
0.8677
0.8812
1.0222


026_8257_00292690
Ovary
8257
OVCA420
456
5.050268
0.789
0.822
0.798
0.9932
0.8382
0.876
0.928
0.9213
1.1024


026_8239_00292890
Ovary
8239
IOSE-397
456
5.092878
0.842
0.8
0.866
0.8796
0.8926
0.921
1.2015
0.9976
1.2125


026_941_00288490
Ovary
941
RKN
456
5.095259
0.777
0.883
0.798
0.796
0.8682
1.049
1.195
1.0697
1.0119


026_929_00290880
Ovary
929
OVCAR-8
456
5.147098
0.763
0.805
0.822
0.8457
0.8675
0.888
0.9211
0.9687
1.0047


026_8215_00287660
Ovary
8215
OC-314
456
5.38803
0.869
0.99
0.986
1.0451
1.0092
1.01
1.0495
0.9963
1.0021


026_939_00287460
Ovary
939
SK-OV-3
456
5.430154
0.806
0.848
0.834
0.8094
0.8719
0.891
0.9424
0.903
1.1026


026_945_00288480
Ovary
945
OVMIU
456
5.797932
0.75
0.737
0.748
0.7949
0.7921
0.844
0.8857
0.9368
0.9866


026_948_00291230
Ovary
948
OVTOKO
456
5.89738
0.829
0.912
0.942
0.9105
0.938
0.909
0.9025
0.9329
0.9575


026_8255_00293640
Ovary
8255
OV-56
456
5.989644
0.874
0.894
0.904
0.9159
0.9189
0.911
0.9267
0.9453
0.9277


026_937_00288460
Ovary
937
OAW28
456
6.027686
0.859
0.878
0.802
0.8512
0.7724
0.814
1.0447
0.8649
1.0363


026_1127_00296460
Ovary
1127
NIH: OVCAR-3
456
6.109694
0.886
0.95
0.992
0.9785
0.8788
0.986
0.9619
1.0732
0.8745


026_947_00263500
Ovary
947
OVKATE
456
6.266319
0.819
0.823
0.875
0.8874
0.9093
0.906
0.9175
0.9563
0.9507


026_938_00292910
Ovary
938
OAW42
456
6.299032
0.918
0.963
0.958
0.9614
0.9778
1.041
1.0213
0.9899
1.0087


026_945_00256180
Ovary
945
OVMIU
456
6.360298
0.891
0.987
1.001
0.9225
0.8452
0.776
0.8273
0.9233
1.0102


026_946_00291190
Ovary
946
OVISE
456
6.600815
0.805
0.739
0.737
0.7358
0.7593
0.759
0.8539
0.8664
0.8624


026_8254_00295890
Ovary
8254
OV-17R
456
6.877329
0.913
1.041
0.974
1.0282
1.0077
1.015
1.0376
0.9484
1.0604


026_973_00295540
Pancreas
973
HUP-T4
456
0.866739
0.321
0.315
0.362
0.4721
0.5603
0.814
1.0984
0.8938
1.1407


026_983_00295450
Pancreas
983
SUIT-2
456
1.197889
0.397
0.339
0.382
0.581
0.6565
0.942
0.9937
1.019
1.1926


026_982_00292940
Pancreas
982
QGP-1
456
1.430625
0.538
0.437
0.492
0.5682
0.6307
0.8
0.8372
0.9601
1.0476


026_8118_00295430
Pancreas
8118
MZ1-PC
456
1.48113
0.363
0.489
0.495
0.5335
0.6471
0.671
0.9118
1.008
0.9838


026_8149_00293771
Pancreas
8149
PSN1
456
1.829333
0.531
0.553
0.5
0.5231
0.6104
0.71
0.8375
0.909
0.9509


026_953_00295470
Pancreas
953
AsPC-1
456
1.847893
0.476
0.515
0.508
0.4987
0.5741
0.746
0.8281
1.0377
1.0843


026_1256_00260300
Pancreas
1256
950-MPS
456
1.902786
0.332
0.473
0.515
0.7193
0.8035
0.916
0.9125
1.0441
0.9009


026_976_00298480
Pancreas
976
Panc 04.03
456
2.685969
0.592
0.594
0.57
0.562
0.6645
0.706
0.8319
0.9296
1.0176


026_954_00292870
Pancreas
954
BxPC-3
456
2.90077
0.574
0.607
0.558
0.6572
0.7404
0.813
1.0541
1.0916
0.9092


026_967_00292570
Pancreas
967
Capan-1
456
3.140577
0.522
0.69
0.758
0.8527
0.6713
0.874
0.9506
0.894
0.958


026_975_00295591
Pancreas
975
YAPC
456
3.507979
0.613
0.705
0.797
0.9196
0.8833
0.921
1.0616
1.0323
1.0675


026_1135_00292930
Pancreas
1135
PL18
456
3.513426
0.636
0.623
0.694
0.6978
0.7917
0.832
0.9096
0.9334
0.9721


026_977_00308210
Pancreas
977
KP-1N
456
3.657778
0.607
0.764
0.684
0.7525
0.7655
0.908
0.9944
0.9837
0.9553


026_969_00295580
Pancreas
969
PA-TU-8988T
456
3.657963
0.664
0.653
0.725
0.7145
0.7879
0.992
1.0299
1.0048
1.0863


026_1491_00273490
Pancreas
1491
SNU-324
456
3.732679
0.387
0.683
0.791
0.7879
0.8486
0.832
0.9455
0.9813
0.9695


026_961_00295570
Pancreas
961
Panc 02.03
456
4.088522
0.702
0.699
0.633
0.701
0.7003
0.795
0.8748
0.9019
1.1113


026_974_00292601
Pancreas
974
HUP-T3
456
4.280085
0.684
0.754
0.793
0.909
0.7596
0.88
0.9895
0.9696
1.0099


026_963_00293710
Pancreas
963
Hs 766T
456
4.34359
0.709
0.746
0.833
0.7623
0.8169
1.052
0.9605
0.9551
1.0544


026_959_00292630
Pancreas
959
Panc 03.27
456
4.482408
0.701
0.682
0.805
0.8272
0.7565
0.838
0.9087
0.9434
1.0258


026_981_00293750
Pancreas
981
KP-4
456
4.755774
0.733
0.9
0.784
0.9218
0.8875
1.007
0.9325
1.0003
0.8788


026_968_00292580
Pancreas
968
CFPAC-1
456
4.814885
0.772
0.822
0.87
0.9195
0.9082
0.935
0.8889
1.0106
1.1286


026_1134_00300280
Pancreas
1134
PL4
456
4.852316
0.738
0.739
0.727
0.7443
0.7816
0.797
0.9521
0.9663
1.0376


026_979_00293740
Pancreas
979
KP-3
456
4.900084
0.956
0.777
0.839
0.8825
0.8836
0.909
0.9593
0.9092
0.9686


026_956_00292591
Pancreas
956
HPAF-II
456
5.005523
0.734
0.786
0.762
0.6523
0.7269
0.755
0.9185
0.979
1.0195


026_953_00257150
Pancreas
953
AsPC-1
456
5.141432
0.761
0.708
0.731
0.7295
0.7369
0.79
0.8534
0.8911
0.9577


26_968_00304350
Pancreas
968
CFPAC-1
456
5.151366
0.817
0.828
0.864
0.8724
0.8715
1.008
1.007
0.9779
1.001


026_957_00296350
Pancreas
957
SW 1990
456
5.575766
0.849
0.911
0.906
0.8954
0.9494
0.957
0.977
0.9769
1.1173


026_960_00296311
Pancreas
960
Panc 08.13
456
5.65459
0.875
0.894
0.924
0.9669
0.9243
0.96
1.1005
1.065
1.0309


026_951_00256230
Pancreas
951
HPAC
456
5.736336
0.862
1.024
0.931
0.8532
0.9386
1.035
1.0328
1.0507
1.0612


026_964_00295480
Pancreas
964
Capan-2
456
5.74256
0.877
0.928
0.759
0.8346
0.9905
0.925
1.0364
1.027
0.9499


026_1134_00298560
Pancreas
1134
PL4
456
5.771259
0.844
0.812
0.91
0.8479
0.7738
0.977
0.9068
1.059
0.9774


026_970_00293370
Pancreas
970
PA-TU-8902
456
5.772043
0.841
0.97
0.919
0.8896
0.9177
0.966
0.9181
1.322
0.9871


026_952_00292610
Pancreas
952
MIA PaCa-2
456
5.946631
0.923
0.885
0.718
0.8919
0.8505
1.058
1.0586
0.8995
1.1403


026_972_00296250
Pancreas
972
DAN-G
456
5.955955
0.897
0.924
0.945
0.9646
0.9703
0.978
1.0074
1.032
1.0585


026_951_00295520
Pancreas
951
HPAC
456
5.962773
0.923
0.889
0.787
0.9719
0.9562
1.118
0.986
0.9708
1.1145


026_975_00252910
Pancreas
975
YAPC
456
5.989883
1.015
0.914
0.897
0.8713
0.8903
1.037
0.9777
1.1409
0.981


026_963_00252950
Pancreas
963
Hs 766T
456
6.264463
0.496
0.974
0.953
1.0445
0.9118
1.028
0.9324
1.0245
1.0186


026_958_00296320
Pancreas
958
Panc 10.05
456
6.318194
0.851
0.835
0.851
0.824
0.8929
0.879
0.9003
1.0065
1.0291


026_955_00292640
Pancreas
955
SU.86.86
456
6.593699
1.017
0.82
0.986
0.9378
1.1258
1.072
1.0873
1.0381
0.9789


026_759_00300240
Pleura
759
MSTO-211H
456
3.066599
0.666
0.637
0.664
0.6954
0.8026
0.901
1.0485
1.0165
1.0436


026_1213_00303050
Pleura
1213
H2818
456
3.157415
0.577
0.674
0.728
0.8558
0.9032
0.962
0.9285
1.0744
1.1008


026_8116_00303080
Pleura
8116
MPP-89
456
3.723631
0.416
0.808
0.823
0.9733
0.9887
0.968
1.0012
0.9912
1.0294


026_1206_00302600
Pleura
1206
H2722
456
3.764667
0.604
0.768
0.801
0.8049
0.8692
0.937
0.9073
0.9842
0.9698


026_1210_00302610
Pleura
1210
H2803
456
4.117283
0.686
0.723
0.669
0.7081
0.719
0.892
0.9533
1.0129
0.9547


026_1215_00311260
Pleura
1215
H290
456
4.122283
0.629
0.753
0.69
0.7652
0.7781
0.737
0.8199
0.9853
0.9812


026_1206_00308200
Pleura
1206
H2722
456
4.184817
0.699
0.769
0.85
0.8838
0.889
0.906
1.0135
0.9948
1.0129


026_1212_00300580
Pleura
1212
H2810
456
4.445211
0.69
0.929
0.942
0.9243
0.9927
0.884
0.9289
0.9051
0.9626


026_682_00304600
Pleura
682
NCI-H2452
456
4.452468
0.722
0.847
0.891
0.906
0.9407
0.899
0.9567
1.0786
1.1287


026_1200_00300690
Pleura
1200
H2373
456
4.612295
0.695
0.911
0.887
0.9257
0.9258
0.849
0.9218
0.9772
0.9399


026_1214_00308460
Pleura
1214
H2869
456
4.934927
0.775
0.881
0.878
0.926
0.9241
0.914
0.9475
0.9536
1.0138


026_1214_00308790
Pleura
1214
H2869
456
4.961713
0.802
0.879
0.908
0.9132
0.9528
0.991
0.9959
1.0132
1.0202


026_1202_00303040
Pleura
1202
H2591
456
5.067997
0.82
0.918
0.945
1.0327
0.9338
0.983
0.9541
1.0755
1.1707


026_1209_00300210
Pleura
1209
H28
456
5.341766
0.817
0.821
0.827
0.8331
0.8999
0.927
0.9491
1.0072
0.9857


026_8078_00303060
Pleura
8078
IST-MES1
456
5.358253
0.782
0.897
0.859
0.8822
0.8445
0.907
0.9752
0.926
1.0513


026_1199_00300560
Pleura
1199
H2369
456
5.439636
0.82
0.91
0.99
0.8596
0.9181
0.984
0.9172
0.9896
1.1394


026_8078_00304970
Pleura
8078
IST-MES1
456
5.505825
0.847
0.88
0.853
0.8587
0.8938
0.89
0.9416
0.9423
1.0968


026_1207_00298510
Pleura
1207
H2731
456
5.56988
0.819
1.018
1.003
0.8986
0.9778
0.921
0.9543
0.9856
0.9695


026_1198_00302580
Pleura
1198
H2052
456
5.579483
0.859
0.966
0.995
0.9551
0.9651
1.01
1.0265
1.0233
1.0095


026_1201_00302590
Pleura
1201
H2461
456
5.654117
0.856
0.868
0.914
0.904
0.8852
0.908
0.9343
1.0239
1.1079


026_1213_00300720
Pleura
1213
H2818
456
5.828097
0.843
0.946
0.86
0.9682
0.9236
0.942
0.9493
0.9688
0.9576


026_1211_00300570
Pleura
1211
H2804
456
5.890027
0.881
0.886
0.907
0.8753
0.9153
0.955
0.969
0.9857
1.0448


026_1218_00300730
Pleura
1218
H513
456
5.953268
0.9
0.905
0.905
1.0722
1.0284
0.976
0.9507
1.0341
1.2023


026_1208_00300710
Pleura
1208
H2795
456
6.063798
0.3
0.943
0.961
0.8752
0.9823
0.905
0.9466
0.9643
0.975


026_1203_00300850
Pleura
1203
H2595
456
6.184806
0.92
0.909
0.899
1.0357
1.0632
0.905
0.974
1.018
0.9037


026_8245_00282710
pleural effusion
8245
KMS-11
456
0.702427
0.356
0.381
0.404
0.4804
0.491
0.652
0.7128
1.0645
1.1048


026_996_00298490
Prostate
996
22RV1
456
2.346887
0.542
0.521
0.592
0.6234
0.6635
0.707
0.7764
0.8517
0.9168


026_985_00303070
Prostate
985
LNCaP clone FGC
456
4.018762
0.727
0.863
0.923
1.1164
1.0922
0.984
1.0179
1.1749
1.0533


026_987_00298550
Prostate
987
PC-3
456
4.097696
0.698
0.761
0.871
0.9338
0.9109
0.914
0.9938
1.2109
0.991


026_1001_00300200
Prostate
1001
DU 145
456
5.044916
0.768
0.832
0.867
0.8699
0.8879
0.906
0.9933
0.9168
1.1136


026_988_00308270
Prostate
988
PWR-1E
456
5.228199
0.804
0.854
0.877
0.8566
0.8621
0.923
0.9727
0.9516
0.9806


026_997_00300660
Prostate
997
BPH-1
456
5.448713
0.479
0.868
1.201
1.1209
1.1016
0.674
0.9562
1.1603
0.8983


026_1000_00300740
Prostate
1000
VCaP
456
5.968581
0.692
1.071
1.005
1.0988
0.9203
0.91
0.9225
0.9154
1.1301


026_1009_00264700
Skin
1009
WM35
456
−2.372512
0.112
0.201
0.203
0.2168
0.2138
0.242
0.3676
0.463
0.7025


026_8212_00264590
Skin
8212
CP50-MEL-B
456
−1.651586
0.151
0.398
0.392
0.3817
0.3556
0.35
0.4631
0.5633
0.8209


026_1039_00265170
Skin
1039
SK-MEL-30
456
−1.476493
0.263
0.352
0.317
0.3236
0.3515
0.424
0.5534
0.8565
0.8549


026_1023_00269690
Skin
1023
SK-MEL-2
456
−1.357658
0.147
0.207
0.235
0.2621
0.2935
0.343
0.5053
0.6866
0.8939


026_1034_00264680
Skin
1034
MEL-HO
456
−0.964561
0.144
0.372
0.375
0.3139
0.3537
0.327
0.4189
0.6188
0.8613


026_8073_00263480
Skin
8073
HT-144
456
−0.641233
0.154
0.241
0.236
0.3036
0.3695
0.397
0.6432
0.7444
0.9033


026_8114_00259970
Skin
8114
MMAC-SF
456
−0.613008
0.211
0.399
0.492
0.3813
0.4238
0.662
0.5683
0.6942
1.0563


026_8209_00266540
Skin
8209
A4-Fuk
456
−0.557176
0.179
0.476
0.467
0.4234
0.4176
0.498
0.6644
0.7338
0.7609


026_1046_00263470
Skin
1046
HMVII
456
−0.454742
0.389
0.419
0.403
0.3903
0.4097
0.503
0.6117
0.8285
1.0625


026_8120_00262840
Skin
8120
MZ7-mel
456
−0.254795
0.073
0.323
0.41
0.4001
0.4106
0.468
0.6687
0.6311
0.8761


026_8191_00260580
Skin
8191
UACC-257
456
−0.10266
0.456
0.468
0.426
0.404
0.4006
0.534
0.6654
0.7954
0.894


026_1176_00266430
Skin
1176
451Lu
456
−0.00066
0.26
0.428
0.38
0.386
0.4254
0.499
0.6795
0.8423
0.9729


026_1149_00263460
Skin
1149
G-MEL
456
0.018696
0.065
0.23
0.181
0.1928
0.2465
0.404
0.7707
0.8991
0.9576


026_1147_00263750
Skin
1147
SK-MEL-28
456
0.142676
0.187
0.48
0.376
0.4566
0.4611
0.565
0.6083
0.8116
0.9418


026_1037_00260080
Skin
1037
SK-MEL-1
456
0.168848
0.176
0.417
0.368
0.3716
0.3919
0.613
0.6978
0.9091
0.966


026_1190_00266570
Skin
1190
Hs 939.T
456
0.185332
0.283
0.631
0.615
0.5802
0.5603
0.559
0.5576
0.7187
0.8082


026_1024_00265150
Skin
1024
M-14
456
0.192152
0.418
0.433
0.383
0.391
0.4651
0.618
0.742
0.7678
0.9177


026_1025_00269710
Skin
1025
COLO-679
456
0.228168
0.267
0.288
0.296
0.3664
0.4611
0.681
0.8141
0.9334
1.1196


026_8161_00263740
Skin
8161
SH-4
456
0.433257
0.203
0.383
0.33
0.3147
0.3323
0.488
0.7539
0.8959
0.983


026_8097_00262820
Skin
8097
LB2518-MEL
456
0.437866
0.076
0.501
0.37
0.3843
0.4237
0.706
0.7414
0.8914
0.9396


026_8120_00260550
Skin
8120
MZ7-mel
456
0.447706
0.299
0.428
0.435
0.4782
0.4839
0.498
0.6521
0.7326
0.8788


026_1033_00262470
Skin
1033
IPC-298
456
0.460127
0.363
0.36
0.404
0.4297
0.5245
0.562
0.7868
0.9191
0.8529


026_1031_00264030
Skin
1031
IGR-37
456
0.57267
0.159
0.498
0.512
0.4794
0.5367
0.602
0.8381
0.9754
1.0032


026_1006_00260110
Skin
1006
WM-115
456
0.616077
0.079
0.437
0.583
0.4912
0.4928
0.627
0.6176
0.6485
0.9586


026_8023_00265291
Skin
8023
COLO-829
456
0.740747
0.164
0.659
0.533
0.5534
0.5976
0.709
0.8699
0.9148
0.9877


026_1036_00264690
Skin
1036
RVH-421
456
0.784255
0.099
0.511
0.489
0.5329
0.5785
0.531
0.5954
0.5867
0.7408


026_1011_00269770
Skin
1011
WM278
456
0.944573
0.289
0.463
0.457
0.4545
0.4605
0.568
0.7513
0.8836
0.9597


026_1003_00269650
Skin
1003
G-361
456
0.948854
0.099
0.326
0.434
0.5233
0.6155
0.705
0.83
0.8998
1.0756


026_8002_00263700
Skin
8002
A101D
456
0.960267
0.088
0.468
0.524
0.5105
0.5276
0.55
0.5835
0.7643
0.8791


026_8104_00260540
Skin
8104
LOXIMVI
456
1.072404
0.278
0.403
0.39
0.4769
0.6158
0.839
0.877
0.864
0.9209


026_1005_00268780
Skin
1005
A-375
456
1.191442
0.45
0.499
0.485
0.4604
0.5149
0.506
0.6624
0.892
0.928


026_1004_00260870
Skin
1004
C32
456
1.195832
0.288
0.331
0.256
0.265
0.3055
0.504
0.8497
0.9278
0.9753


026_1030_00264020
Skin
1030
IGR-1
456
1.307792
0.075
0.388
0.556
0.5173
0.6922
0.688
0.8911
0.7819
0.8658


026_1035_00265160
Skin
1035
MEL-JUSO
456
1.414781
0.305
0.481
0.494
0.5153
0.7013
0.739
0.9127
0.9597
1.0093


026_8119_00259980
Skin
8119
MZ2-MEL.
456
1.446447
0.402
0.467
0.438
0.4246
0.4152
0.679
0.7345
0.8985
0.9484


026_8097_00260530
Skin
8097
LB2518-MEL
456
1.447504
0.439
0.438
0.44
0.3578
0.3688
0.635
0.8111
0.8622
0.8731


026_8225_00264640
Skin
8225
SK-MEL-5
456
1.574212
0.07
0.432
0.581
0.5597
0.6534
0.603
0.7648
0.9285
1.0194


026_8104_00262830
Skin
8104
LOXIMVI
456
1.676415
0.172
0.565
0.594
0.5546
0.7085
0.865
1.2098
1.0454
1.1061


026_1042_00274340
Skin
1042
COLO 792
456
1.75025
0.329
0.514
0.573
0.6166
0.6518
0.787
0.8993
0.9066
0.9485


026_1026_00269720
Skin
1026
COLO-783
456
1.791757
0.479
0.599
0.603
0.6144
0.5728
0.634
0.6979
0.8575
0.9077


026_1010_00262530
Skin
1010
WM1552C
456
2.109919
0.364
0.794
0.685
0.6806
0.6737
0.881
0.8586
0.9992
0.9359


026_1041_00263450
Skin
1041
A431
456
2.481335
0.436
0.563
0.633
0.821
0.8517
0.858
1.0792
0.8962
0.9346


026_8098_00269090
Skin
8098
LB373-MEL-D
456
2.623655
0.496
0.615
0.627
0.6225
0.6708
0.815
0.8109
0.9711
1.0201


026_1022_00262940
Skin
1022
RPMI-7951
456
2.647594
0.249
0.552
0.678
0.6664
0.7181
0.824
0.8966
0.8605
0.908


026_1181_00269080
Skin
1181
Hs 944.T
456
2.824283
0.206
0.612
0.779
0.8499
0.8608
0.892
0.9924
1.1546
1.1214


026_1008_00262540
Skin
1008
WM793B
456
2.933974
0.371
0.744
0.693
0.6962
0.7393
0.731
0.8508
0.9586
0.8942


026_1027_00265280
Skin
1027
COLO-800
456
3.132083
0.537
0.717
0.804
0.8959
0.9417
0.926
0.9678
0.954
1.0136


026_8034_00265300
Skin
8034
DJM-1
456
3.234358
0.554
0.778
0.806
0.9452
0.9331
1.005
0.9966
1.0061
1.0084


026_1181_00264620
Skin
1181
Hs 944.T
456
3.491747
0.094
0.698
0.822
0.9152
0.8448
0.9
0.9921
0.9743
0.9841


026_8225_00263510
Skin
8225
SK-MEL-5
456
3.505326
0.234
0.653
0.694
0.7331
0.7681
0.79
0.9216
0.9437
0.9528


026_1145_00263720
Skin
1145
CHL-1
456
3.811805
0.609
0.895
0.833
0.8778
0.9025
0.855
0.9286
0.9316
1.0458


026_8060_00265311
Skin
8060
GAK
456
4.2621
0.37
0.758
0.827
0.7891
0.8733
0.894
0.9899
0.9692
0.9911


026_1047_00265320
Skin
1047
MEWO
456
4.342961
0.779
0.931
0.98
0.9757
0.9449
0.991
1.0008
0.9996
1


026_1022_00260910
Skin
1022
RPMI-7951
456
4.58823
0.257
0.748
0.801
0.8703
0.8751
0.884
0.9495
0.9173
0.9542


026_1038_00260090
Skin
1038
SK-MEL-3
456
4.834702
0.151
0.731
0.777
0.7955
0.7955
0.827
0.8793
0.913
0.9361


026_1002_00260861
Skin
1002
A2058
456
5.928358
0.795
0.897
0.85
0.894
0.8474
0.885
1.0053
0.8902
0.984


026_8025_00306491
Skin
8025
CP66-MEL
456
6.278644
0.914
0.888
1.059
0.9053
1.0334
0.961
0.8798
1.0258
0.9475


026_1120_00264061
Skin
1120
UACC-62
456
6.317961
0.417
0.99
0.941
0.9531
0.9635
1.005
1.0535
1.0033
0.9903


026_1049_00269761
Skin
1049
VMRC-MELG
456
6.363031
0.904
0.991
0.949
0.974
0.9849
1.004
1.032
1.0282
1.0264


026_8077_00311281
Skin
8077
IST-MEL1
456
6.486215
0.817
0.849
0.783
0.8212
0.8361
0.894
0.8282
0.9342
0.9134


026_1002_00262871
Skin
1002
A2058
456
6.768535
0.494
1.023
0.918
0.9957
0.9334
0.899
0.9223
0.931
0.9502


026_1191_00266580
Skin
1191
Hs 940.T
456
7.017835
0.562
0.98
1.123
1.1931
0.9727
1.159
1.1334
1.0446
1.0643


026_8211_00306531
Skin
8211
SK-MEL-24
456
7.240348
0.995
1.062
1.047
0.9379
1.0364
1.075
1.0521
1.0504
1.0137


026_1004_00262880
Skin
1004
C32
456
7.407136
1.327
0.196
1.169
0.1356
1.1547
0.213
1.1935
0.7281
1.1468


026_8077_00263490
Skin
8077
IST-MEL1
456
8.189893
1.25
1.21
1.184
1.1565
0.9453
0.931
1.1642
1.0861
1.0387


026_1076_00260350
Stomach
1076
OCUM-1
456
−1.975727
0.138
0.299
0.203
0.1441
0.1472
0.137
0.1598
0.2644
0.5747


026_1050_00262790
Stomach
1050
AGS
456
0.402284
0.198
0.304
0.337
0.4411
0.6201
0.452
0.6355
0.7729
1.0239


026_1070_00258920
Stomach
1070
HSC-39
456
1.218484
0.163
0.38
0.469
0.5806
0.7048
0.892
1.16
0.922
1.1787


026_8193_00311240
Stomach
8193
ECC10
456
1.328742
0.306
0.42
0.445
0.5445
0.7218
0.758
0.8813
0.9883
0.9993


026_1052_00255810
Stomach
1052
SNU-1
456
1.425654
0.369
0.469
0.497
0.5342
0.5814
0.77
0.7984
0.8285
0.947


026_1056_00316590
Stomach
1056
KATO III
456
1.949149
0.309
0.531
0.622
0.6777
0.7504
0.912
0.9052
1.0407
1.0158


026_1060_00256830
Stomach
1060
MKN45
456
2.285447
0.504
0.586
0.532
0.5224
0.5043
0.577
0.7757
0.8156
0.9028


026_1072_00258880
Stomach
1072
23132/87
456
2.907608
0.473
0.717
0.911
0.8748
1.0846
1.055
1.07
0.981
1.001


026_1060_00262910
Stomach
1060
MKN45
456
2.913103
0.498
0.498
0.474
0.9422
0.5296
0.623
1.0575
0.9958
0.8867


026_1078_00263960
Stomach
1078
IM-95
456
3.209661
0.348
0.625
0.723
1.042
0.7453
0.866
0.8746
0.9835
0.9734


026_1054_00308870
Stomach
1054
SNU-16
456
3.34225
0.574
0.78
0.883
0.9578
0.9599
0.973
0.9861
1.0293
1.027


026_1064_00258960
Stomach
1064
NUGC-3
456
3.516892
0.253
0.754
0.947
0.9636
0.9596
1.019
1.0426
1.0278
1.0027


026_1075_00308260
Stomach
1075
NUGC-4
456
3.652276
0.617
0.827
0.703
0.9984
1.0102
1.068
1.1379
0.9929
1.1512


026_1065_00273570
Stomach
1065
MKN7
456
3.792655
0.621
0.777
0.872
0.891
0.9122
0.904
0.9197
0.9359
0.9547


026_1067_00311560
Stomach
1067
RERF-GC-1B
456
4.166168
0.732
0.677
0.761
0.8438
0.781
0.877
0.8716
0.958
1.0772


26_1067_00314080
Stomach
1067
RERF-GC-1B
456
4.402339
0.708
0.833
0.831
0.8383
0.8843
0.854
0.9212
0.9276
1.1227


026_1068_0028930
Stomach
1068
MKN28
456
4.480011
0.554
0.885
0.897
0.9579
0.9774
1.009
1.0156
1.0042
1.0326


026_1057_00271310
Stomach
1057
Hs 746T
456
4.481195
0.745
0.743
0.677
0.6977
0.6882
0.86
0.875
0.9503
1.0984


026_1060_00260890
Stomach
1060
MKN45
456
4.604315
0.753
0.738
0.731
0.6895
0.6891
0.836
1.0727
1.0008
0.9928


026_1051_00269200
Stomach
1051
FU97
456
4.755599
0.738
0.851
0.914
0.8985
0.8947
0.955
0.9241
0.9866
1.0457


026_8187_00316461
Stomach
8187
TGBC11TKB
456
4.931222
0.775
0.953
0.925
0.9227
0.9488
0.988
0.9649
0.9982
0.9763


026_1058_00263730
Stomach
1058
NCI-N87
456
5.400356
0.754
0.824
0.808
0.8382
0.8486
0.868
0.9105
0.9132
0.9828


026_1064_00264040
Stomach
1064
NUGC-3
456
6.53754
0.915
1.021
1.007
1.0316
0.9966
1.014
1.0431
0.9819
1.0068


026_1077_00264820
Stomach
1077
SCH
456
6.77844
0.466
1.271
1.195
1.2103
1.1255
0.977
0.9179
1.1315
1.1153


026_1051_00265140
Stomach
1051
FU97
456
6.812551
0.149
0.752
0.783
0.8562
0.833
0.758
0.8748
0.8287
0.8438


026_8067_00258320
Stomach
8067
GT3TKB
456
7.007727
0.623
0.977
1.004
1.0575
1.0443
1.026
1.0598
1.0143
1.0267


026_1053_00258360
Stomach
1053
SNU-5
456
7.265878
1
0.967
0.868
0.95
0.958
1.018
1.0763
1.0284
1.0105


026_1073_00258910
Stomach
1073
HGC-27
456
7.474785
0.055
1.003
1.012
1.0288
1.0225
1.013
1.0331
0.9845
0.9972


026_8062_00266170
Stomach
8062
GCIY
456
7.70033
1.076
1.218
0.962
1.0422
0.9155
1.202
0.9466
0.9302
1.1001


026_1059_00256820
Stomach
1059
MKN1
456
7.84127
1.023
1.223
1.097
1.1806
1.0334
0.924
1.0209
0.9691
0.9885


026_8216_00258330
Stomach
8216
RF-48
456
8.041101
0.627
1.056
1.075
1.0873
1.0084
1.031
1.0144
1.008
0.9914


026_8143_00302630
Testes
8143
NTERA-S-c1-D1
456
4.238289
0.709
0.74
0.781
0.8439
0.8942
0.971
0.9553
0.9264
1.0878


026_1081_00299690
Testes
1081
NCC-IT-A3
456
4.69755
0.834
0.925
0.99
1.0022
1.0753
0.959
1.0664
0.9907
0.9674


026_1082_00300430
Testes
1082
NEC8
456
5.794775
0.518
0.919
1.026
1.1263
1.0267
0.882
1.2293
0.8206
0.9481


026_1087_00311210
Thyroid
1087
BHT-101
456
0.094631
0.409
0.442
0.405
0.4025
0.4677
0.606
0.749
0.9156
0.9734


026_1098_00252970
Thyroid
1098
IHH-4
456
0.734299
0.193
0.418
0.365
0.5027
0.4309
0.608
0.6796
0.9903
0.9333


026_1093_00253040
Thyroid
1093
TT2609-C02
456
1.438563
0.33
0.462
0.489
0.4674
0.6027
0.719
0.8623
0.9552
1.0031


026_1100_00252990
Thyroid
1100
KMH-2
456
1.898194
0.142
0.5
0.577
0.6566
0.6074
0.682
0.7694
0.8888
0.9822


026_1085_00252920
Thyroid
1085
8505C
456
2.3348
0.536
0.498
0.605
0.5369
0.584
0.788
0.7985
1.0523
0.937


026_1088_00252930
Thyroid
1088
CAL-62
456
2.495611
0.451
0.785
0.606
0.8114
0.6653
0.836
1.0285
1.0053
0.944


026_1089_00261010
Thyroid
1089
HTC-C3
456
2.538171
0.577
0.55
0.623
0.7757
0.5886
0.616
0.7161
0.7476
0.9625


026_1090_00311330
Thyroid
1090
ML-1
456
2.64388
0.368
0.64
0.793
0.8005
0.8127
0.931
0.9783
0.9389
1.0355


026_1090_00253010
Thyroid
1090
ML-1
456
3.121258
0.165
0.778
0.787
0.6376
0.6432
0.975
1.0524
0.7737
1.0765


026_1090_00308850
Thyroid
1090
ML-1
456
3.18393
0.308
0.673
0.724
0.8112
0.8338
0.925
0.9016
0.8988
1.0407


026_1086_00255730
Thyroid
1086
B-CPAP
456
3.682081
0.171
0.695
0.763
0.7585
0.7239
0.856
0.9452
0.9473
1.0079


026_8020_00314210
Thyroid
8020
CGTH-W-1
456
4.407018
0.694
0.874
0.871
0.8186
0.9478
0.965
0.9497
1.0206
1.0176


026_1084_00266520
Thyroid
1084
8305C
456
4.442179
0.592
0.739
0.746
0.7517
0.73
0.793
0.8273
0.8894
0.8901


026_8213_00259200
Thyroid
8213
TT
456
4.648028
0.769
0.966
0.965
0.9831
0.9968
0.984
0.9765
0.9632
0.942


026_8082_00252980
Thyroid
8082
K5
456
6.244906
0.27
0.935
0.007
0.9319
0.951
0.93
0.997
0.9506
0.9691


026_1099_00306470
Thyroid
1099
ASH-3
456
6.262224
0.912
0.905
0.964
0.9293
0.932
0.965
0.9777
0.9947
1.0629


026_1094_00259110
Thyroid
1094
FTC-133
456
6.573461
0.084
0.958
0.978
1.0951
1.0879
1.057
1.063
1.0254
0.8654


026_1092_00259170
Thyroid
1092
S-117
456
6.767861
0.271
0.973
0.988
1.0669
1.039
1.047
1.018
1.0563
1.0542


026_1097_00259160
Thyroid
1097
RO82-W-1
456
7.698514
0.685
1.079
1.053
1.0554
1.0411
1.049
1.0682
1.0349
1.0563


026_8036_00304360
Thyroid
8036
DSH1
456
1.200178
0.377
0.348
0.397
0.5545
0.7402
0.871
0.9778
0.9884
1.0288


26_24_00298840
UrinaryTrack
24
RT4
456
2.281802
0.504
0.543
0.577
0.6272
0.7473
0.889
1.0564
1.0628
1.0768


026_18_00299720
UrinaryTrack
18
RT-112
456
2.448355
0.479
0.581
0.587
0.6728
0.7768
0.797
0.8705
1.106
1.03


026_24_00252540
UrinaryTrack
24
RT4
456
2.668527
0.216
0.59
0.634
0.6994
0.7144
0.855
0.9368
0.9696
1.0194


026_8036_00257170
UrinaryTrack
8036
DSH1
456
2.728478
0.679
0.605
0.639
0.6941
0.7355
0.829
0.9411
1.0033
1.0113


026_9_00298850
UrinaryTrack
9
SW 780
456
2.896276
0.523
0.587
0.676
0.7538
0.7859
0.866
0.9594
0.9717
1.0348


026_15_00316530
UrinaryTrack
15
BFTC-905
456
3.218144
0.607
0.59
0.688
0.6971
0.8338
0.848
0.8978
1.0448
1.0799


026_8_00298880
UrinaryTrack
8
UM-UC-3
456
3.221517
0.557
0.72
0.789
0.8471
0.8599
0.995
1.0484
1.045
1.0264


026_6_00303090
UrinaryTrack
6
5637
456
3.348554
0.553
0.725
0.744
0.7649
0.9313
0.918
0.9221
0.9563
1.0354


026_6_00256650
UrinaryTrack
6
5637
456
3.837233
0.726
0.703
0.715
0.7187
0.7189
0.755
0.9193
0.965
1.0004


026_8101_00256280
UrinaryTrack
8101
LB831-BLC
456
3.939929
0.504
0.835
0.952
1.0143
1.0014
1.01
0.9848
0.9739
0.9713


026_11_00298870
UrinaryTrack
11
T24
456
4.120815
0.697
0.744
0.763
0.8533
0.8788
0.941
0.9969
1.0222
1.1105


026_19_00298860
UrinaryTrack
19
SW-1710
456
4.713264
0.758
0.847
0.828
0.8254
0.8943
0.979
0.9968
1.0264
1.0955


026_7_00302400
UrinaryTrack
7
SCaBER
456
4.780909
0.779
0.775
0.708
0.7824
0.8163
0.882
1.0463
0.9494
1.0621


026_8101_00302620
UrinaryTrack
8101
LB831-BLC
456
4.856105
0.76
0.882
0.929
0.9235
0.9393
0.926
0.9386
0.9281
1.0507


026_22_00298810
UrinaryTrack
22
HT 1376
456
4.888331
0.823
0.879
1.047
0.8692
1.0283
0.988
1.0731
1.1432
1.097


026_20_00299740
UrinaryTrack
20
VM-CUB1
456
4.987745
0.751
0.753
0.758
0.8989
0.8726
0.877
0.9581
0.9471
0.9762


026_14_00298780
UrinaryTrack
14
647-V
456
5.049696
0.854
0.851
0.873
0.8859
0.9584
1.097
1.1389
1.2074
1.0083


026_12_00299730
UrinaryTrack
12
TCCSUP
456
5.306108
0.821
0.876
0.897
0.9178
0.9315
0.962
0.9176
1.0469
1.0217


026_13_00298770
UrinaryTrack
13
639-V
456
5.658711
0.867
0.933
0.849
0.9317
0.8466
1.046
1.0223
1.1266
1.2765


026_16_00298800
UrinaryTrack
16
CAL-29
456
5.956916
0.811
0.834
0.909
0.8884
0.9073
0.924
0.956
0.9709
0.9841


026_3_00308800
UrinaryTrack
3
HT-1197
456
6.060787
0.877
0.935
0.984
0.8762
0.9541
0.87
1.0393
1.0266
1.0429


026_17_00300420
UrinaryTrack
17
KU-19-19
456
6.388593
0.216
0.953
0.975
0.9996
0.9834
0.744
0.9959
0.9777
1.0473


026_10_00298820
UrinaryTrack
10
J82
456
6.755266
0.951
0.965
0.925
0.9536
1.0393
1.06
1.0882
1.0657
1.037


026_8154_00262510
Uterus
8154
RL95-2
456
0.033885
0.116
0.241
0.307
0.315
0.5516
0.413
0.6863
0.814
0.8778


026_1116_00268860
Uterus
1116
SNG-M
456
2.236003
0.377
0.605
0.635
0.4653
0.7155
0.805
0.9708
1.0702
1.1724


026_8154_00280250
Uterus
8154
RL95-2
456
2.655708
0.475
0.611
0.69
0.5902
0.6865
0.677
0.826
0.8426
0.9723


026_8166_00269750
Uterus
8166
SK-UT-1
456
2.769805
0.399
0.642
0.861
0.9305
0.8691
0.946
0.8217
0.867
0.9308


026_1115_00268850
Uterus
1115
SKN
456
3.232484
0.402
0.724
0.819
0.8345
0.9291
0.941
1.0001
0.9878
0.9814


026_1112_00268820
Uterus
1112
Ishikawa
456
3.572844
0.62
0.659
0.62
0.6814
0.702
0.72
0.9036
0.8807
1.0744





(Heraldio)
















02 ER-













026_1107_00311310
Uterus
1107
MFE-296
456
3.590101
0.601
0.697
0.647
0.7074
0.7773
0.802
0.8186
0.9166
1.0105


026_1108_00308840
Uterus
1108
MFE-319
456
3.953038
0.7
0.723
0.698
0.8033
0.8993
0.819
0.9773
1.1189
1.0369


026_1109_00269701
Uterus
1109
COLO 684
456
4.059524
0.645
0.818
0.925
0.873
0.8541
0.934
0.9505
0.9782
1.0023


026_1102_00268790
Uterus
1102
AN3CA
456
4.238238
0.395
0.808
0.815
0.8203
0.9291
0.817
0.9786
0.9815
0.9877


026_1108_00314330
Uterus
1108
MFE-319
456
4.375739
0.745
0.784
0.794
0.8526
0.9259
0.907
1.0498
1.0643
1.1339


026_1113_00268840
Uterus
1113
MES-SA
456
4.83984
0.832
0.962
1.003
0.9833
0.9906
0.984
0.9981
1.0121
0.9684


026_1117_00268810
Uterus
1117
HEC-1
456
5.215029
0.824
0.904
0.885
0.8856
0.9834
0.972
0.9217
1.0697
1.0963


026_1113_00318661
Uterus
1113
MES-SA
456
5.307659
0.807
0.995
0.947
0.9632
1.0122
1.033
1.0384
1.0103
0.9636


026_8206_00264270
Uterus
8206
KLE
456
5.888467
0.885
1
1.029
1.0338
1.0454
1.029
0.9964
1.0291
0.9684


026_1105_00308190
Uterus
1105
ESS-1
456
6.082924
0.887
0.915
0.911
0.9349
0.8927
0.94
0.9007
0.9407
0.9198


026_1104_00306500
Uterus
1104
EN
456
7.302741
1.047
0.983
0.999
0.9204
1.0053
1.011
1.0162
1.0749
1.0308


026_1106_00306510
Uterus
1106
MFE-280
456
7.686964
1.124
0.983
1
0.9683
1.0601
1.156
1.0799
1.0206
0.9018


026_8163_00302640
Vulva
8163
SK-LMS-1
456
2.4327011
0.479
0.526
0.621
0.7198
0.8786
0.991
1.0278
1.0369
1.1613


026_8173_00302660
Vulva
8173
SW954
456
2.875791
0.539
0.622
0.644
0.6956
0.8294
0.866
1.072
1.0089
1.087


26_8174_00304380
Vulva
8174
SW962
456
4.641057
0.756
0.704
0.824
0.7868
0.8056
0.875
0.851
0.96
1.0607


026_481_00302570
Vulva
481
CAL-39
456
5.164144
0.803
0.856
0.841
0.8864
0.9389
0.924
0.983
0.9909
1.1127


026_8174_00306540
Vulva
8174
SW962
456
6.896884
0.97
0.963
1.002
0.9267
1.0771
0.973
1.0027
1.0435
1.0588









Example 12
BVD-523 Demonstrates In Vivo Antitumor Activity in BRAFV600E-Mutant Cancer Cell Line Xenograft Models

Based on our in vitro findings that BVD-523 reduced proliferation and induced apoptosis in a concentration-dependent manner, BVD-523 was administered by oral gavage to demonstrate its in vivo anti-tumor activity in models with MAPK/ERK-pathway dependency. Xenograft models of melanoma (cell line A375), and colorectal cancer (cell line Colo205), were utilized, both of which harbor a BRAFV600E mutation.


In A375 cell line xenografts, BVD-523 efficacy was compared with the control cytotoxic alkylating agent temozolomide following 14 days of treatment. BVD-523 demonstrated significant dose-dependent antitumor activity starting at 50 mg/kg twice daily (BID) (FIG. 31A). Doses of 50 and 100 mg/kg BID significantly attenuated tumor growth, with tumor growth inhibition (TGI) of 71% (P=0.004) and 99% (P<0.001), respectively. Seven partial regressions (PRs) were noted in the 100 mg/kg BID group; no regression responses were noted in any other group. The efficacy observed compared favorably with that of temozolomide, which when administered at 75 and 175 mg/kg resulted in modest dose-dependent TGI of 34% (P>0.05) and 78% (P=0.005), respectively.


Additionally, BVD-523 demonstrated antitumor efficacy in a Colo205 human colorectal cancer cell line xenograft model (FIG. 31B). BVD-523 again showed significant dose-dependent tumor regressions at doses of 50, 75, and 100 mg/kg BID, yielding mean tumor regressions T/Ti (T=End of treatment, Ti=Treatment initiation) of −48.2%, −77.2%, and −92.3%, respectively (all P<0.0001). Regression was not observed at the lowest dose of BVD-523 (25 mg/kg BID); however, significant tumor growth inhibition, with a T/C (T=Treatment, C=Control) of 25.2% (P<0.0001), was observed. Although not well tolerated, the positive control chemotherapeutic agent irinotecan (CPT-11) showed significant antitumor activity, inhibiting Colo205 tumor growth with a T/C of 6.4% (P<0.0001). However, even at its maximum tolerated dose in mice, CPT-11 was not as effective as BVD-523 at doses of 50, 75, or 100 mg/kg BID.


To establish the relationship between pharmacokinetics and pharmacodynamics, BVD-523 plasma concentrations were compared with pERK1/2 levels measured in the tumor by immunohistochemistry and isotope-tagged internal standard mass spectrometry over a 24-hour period following a single 100 mg/kg oral dose of BVD-523 (FIG. 31C). Phosphorylation of ERK1/2 was low in untreated tumors (0 hours). Following treatment with BVD-523, ERK1/2 phosphorylation steadily increased from 1 hour post-dose to maximal levels at 8 hours post-dose, then returned to pre-dose levels by 24 hours. This increase in pERK1/2 correlated with BVD-523 drug plasma concentrations. The in vivo observation of increased pERK1/2 with BVD-523 treatment is consistent with earlier in vitro findings (FIG. 30D).


Example 13
BVD-523 Results in ERK1/2 Substrate Inhibition Despite Increased ERK1/2 Phosphorylation

To examine the effects of BVD-523 on signaling relative to other known ERK1/2 inhibitors (SCH772984, GDC-0994, and Vx-11e) (Morris et al. 2013 and Liu et al. 2015), a large-scale reverse phase protein array (RPPA) of approximately 40 proteins was employed in a variety of cell lines with sensitivity to ERK inhibition. Cell lines with common alterations in BRAF and RAS were assayed: BRAFV600E mutant lines A375, Colo205, and HT29; KRASG12C-mutant cell line MIAPACa-2; KRASG13D-mutant cell line HCT116; and AN3Ca with atypical HRASF82L mutation. Changes in protein levels are shown as a percentage change from dimethyl sulfoxide (DMSO)-treated parental control (FIG. 32A and Table 23). All ERK inhibitors elicited qualitatively similar protein effects, with the exception of phosphorylation of ERK1/2 (pERK1/2 [ERK1/2-T202, -Y204]); SCH7722984 inhibited pERK1/2 in all cell lines, while BVD-523, GDC-0994, and Vx-11e markedly increased pERK1/2. Phospho-p90 RSK (pRSK1) and cyclin D1, which are proximal and distal targets of pERK1/2, respectively, were similarly inhibited by all inhibitors tested regardless of the degree of ERK1/2 phosphorylation (FIG. 32B). These independent findings for BVD-523 are consistent with studies showing that phosphorylation of ERK1/2 substrates RSK1/2 remained inhibited despite dramatically elevated pERK1/2 by Western blots in A375 cells (FIG. 32D), in addition to protein-binding studies demonstrating BVD-523 binding and stabilization of pERK1/2 and inactive ERK1/2 (FIG. 29E and FIG. 29F). Therefore, measuring increased pERK1/2 levels could be considered as a clinical pharmacodynamic biomarker for BVD-523, while quantifying inhibition of ERK1/2 targets such as pRSK1 and DUSP6 as well could serve a similar purpose.


Additional protein changes are of note in this RPPA dataset (FIG. 32A). Decreased pS6-ribosomal protein appears to be another pharmacodynamic marker of ERK1/2 inhibition, as evidenced in all cell lines with all compounds (FIG. 32B). Furthermore, prominent induction of pAKT appears to be a cell line-dependent observation, where each ERK1/2 inhibitor induced pAKT in cell lines A375 and AN3CA cells (FIG. 33). Interestingly, the degree of inhibition of survival marker pBAD appears to differ between compounds, with only modest inhibition of pBAD by GDC-0994 compared with the other ERK1/2 inhibitors tested (FIG. 32A).


Next, how BVD-523 affects cellular localization of ERK1/2 and downstream target pRSK in a BRAFV600E-mutant RKO colorectal cell line (FIG. 32C) was investigated. In resting cells, ERK1/2 localizes to the cytoplasm, and once stimulated pERK1/2 migrates to target organelles, particularly the nucleus where transcriptional targets are activated (Weinstein et al. 2016). In DMSO-treated control cells, pERK1/2 is evident in both nuclear and cytoplasmic fractions, which is likely reflective of MAPK pathway activity due to the presence of BRAFV600E in this cell line. Treatment with BVD-523 resulted in elevated pERK1/2 in the nucleus and cytoplasm as well as a modest increase in nuclear total ERK1/2 compared with DMSO-treated cells, suggesting that compound-induced stabilization of pERK1/2 stimulates some nuclear translocation. Despite increased pERK1/2 in both compartments, pRSK levels are lower in the cytoplasmic and nuclear compartments compared with DMSO control. Comparator MAPK signaling inhibitors (i.e., trametinib, SCH7722984, dabrafenib) inhibited phosphorylation of ERK1/2 and RSK, as reflected by lower levels in the nuclear and cytoplasmic compartments. These data again suggest that BVD-523-associated increases in pERK1/2 are evident in both the cytoplasm and nucleus; however, this does not translate to activation of target substrates. This is consistent with data presented in FIG. 30D and FIG. 32A.











TABLE 23









% change from DMSO (matched cell line)
















Avg(S6 Ribo
Avg(S6 Ribo








Prot S235
Prot S240

Avg(p90
Avg(bad
Avg(4ebp1


Cell Line
Treatment
236)
244)
Avg(Cyclin D1)
RSK S380)
S112)
T70)





A375
BVD
−95.3
−91.98
−81.45
−71
−72.37
−31.82


A375
Vx
(Empty)
(Empty)
−85.46
−65.25
−69.29
23.33


A375
GDC
−87.61
−80.3
−81.65
−60.74
−55.32
−29.47


A375
SCH
−94.71
−91.78
−84.05
−72.44
−71.44
−31.75


AN3Ca
BVD
−43.41
−22.2
−0.69
−28.11
−54.1
32.17


AN3Ca
Vx
−18.54
−12.55
−9.59
−28.41
−45.63
16.67


AN3Ca
GDC
−30.74
−23.47
0.34
−29.44
2.53
11.28


AN3Ca
SCH
−61.99
−35.88
−11.33
−40.26
−39.14
61.57


COLO205
BVD
−96.15
−97.33
−23.65
−50.84
−31.51
−36.35


COLO205
Vx
−93.04
−94.89
−39.79
−58.6
−30.28
−43.71


COLO205
GDC
−91.19
−91.59
−28.02
−57.5
−6.12
−36.69


COLO205
SCH
−94.67
−95.09
−36.7
−62.31
−29.4
−27.51


HCT116
BVD
−96.31
−96.26
−69.62
−31.81
−34.27
4.03


HCT116
Vx
−90.03
−86.06
−72.72
−33.05
−23.88
10.35


HCT116
GDC
−94.82
−95.1
−63.59
−22.25
−12.36
20.5


HCT116
SCH
−93.86
−91.07
−73.21
−33.7
−31.29
5.6


HT29
BVD
−44.68
−25.67
−37.21
−60.5
−20.66
−41.47


HT29
Vx
−32.8
−24.35
−35.2
−43.41
−35.62
−2.89


HT29
GDC
−41.45
−21.74
−35.69
−30.59
−12.98
1.95


HT29
SCH
−44.9
−25.73
−36.66
−53.88
−33.9
−40.58


MIAPaca2
BVD
−79.46
−88.03
−37.9
−35
−30.29
−9.42


MIAPaca2
Vx
−63.36
−74.82
−33.96
−39.91
−20.85
−15.72


MIAPaca2
GDC
−67.9
−75.59
−31.92
−39.09
−10.08
−34.01


MIAPaca2
SCH
−77.57
−86.61
−39.88
−38.58
−33.07
19.27












% change from DMSO (matched cell line)
















Avg(p70 S6
Avg(p70 S6








Kinase T389
Kinase S371



Avg(Caspase


Cell Line
Treatment
T412)
S394)
Avg(ERK 1 2)
Avg(Akt)
Avg(Raptor)
3 CL D175)





A375
BVD
−23.79
−8.58
−22.91
−14.03
−7.77
−8.06


A375
Vx
−25.54
−17.32
−5.39
−30.34
−12.7
−9.27


A375
GDC
−31.9
−17.34
31.55
−20.7
−14.32
−16.74


A375
SCH
−42.73
−28.72
−21.65
−23.26
−11.66
−9.87


AN3Ca
BVD
−14.78
32.26
−9.05
−22.43
−13.82
−10.8


AN3Ca
Vx
0.56
44.04
−11.27
−24.62
−2.47
−12.7


AN3Ca
GDC
26.01
29.09
−2.87
−26.04
−8.05
1.55


AN3Ca
SCH
−16.63
24.56
−9.27
−16.35
−11.09
1.25


COLO205
BVD
−36.4
−18.11
−18.83
−3.85
−7.14
−3.18


COLO205
Vx
−28
−13.64
−12.32
−12.51
−0.05
−2.67


COLO205
GDC
−32.2
−13.02
−3.33
−11.83
−5.48
23.06


COLO205
SCH
−30.4
−14.59
−31.87
−10.31
−2.2
14.08


HCT116
BVD
−28.11
−16.9
−29.42
4.41
−7.06
−10.11


HCT116
Vx
−20.99
−9.89
−24.01
−18.15
−4.32
−5.19


HCT116
GDC
−24.73
−11.47
−1.9
−6.13
−6.2
−8.36


HCT116
SCH
−24.63
−12.3
−10.22
−9.86
−9.66
−4.63


HT29
BVD
−24.58
−35.94
−44.3
−13.41
−8.53
−7.03


HT29
Vx
−12.31
−22.86
0.24
−17.84
−6.53
−2.86


HT29
GDC
−20.86
−25.73
4.66
−10.01
−6.85
−3.44


HT29
SCH
−9.55
−20.52
−37
−16.93
−12.18
−7.9


MIAPaca2
BVD
−39.23
−28.27
−40.33
23.63
21.15
22.35


MIAPaca2
Vx
−30.66
−30.35
−14.85
−0.15
5.4
6.17


MIAPaca2
GDC
−40.99
−14.4
−6.88
4.33
22.43
10.47


MIAPaca2
SCH
−50.97
−40.47
−23.09
13.47
17.66
21.05












% change from DMSO (matched cell line)

















Avg(mTOR



Avg(p70
Avg(Raptor
Avg(Bcl


Cell Line
Treatment
S2448)
Avg(Bad S155)
Avg(c Fos)
Avg(Rictor)
S6 Kinase)
S792)
2 T56)





A375
BVD
−27.87
−21.9
4.39
−20.11
−7.6
−10.33
−8.54


A375
Vx
−21.66
−6.3
−13.65
−8.16
−6.42
−0.86
−7.53


A375
GDC
−23.61
−13.31
−12.46
−23.29
−18.11
−15.93
−4.1


A375
SCH
−26.17
−13.86
−12.51
−22.13
−17.66
−6.89
−19.55


AN3Ca
BVD
−10.79
0.66
−5.15
−4.52
−10.27
−8.47
−12.85


AN3Ca
Vx
−2.37
4.59
−5.52
0.02
−2.33
0.37
−11.73


AN3Ca
GDC
−2.96
17.31
−0.63
−9.21
−3.67
4.85
1.23


AN3Ca
SCH
−4.84
12.92
−9.18
−10.89
−7.71
−4.03
−10.73


COLO205
BVD
−23.51
−18.18
−12.25
−5.21
0.14
0.41
−11.84


COLO205
Vx
−8.52
−9.72
−19.34
1.65
−3.42
0.2
−12.02


COLO205
GDC
−7.36
−9.11
−21.33
−5.04
5.83
−9.04
−4.6


COLO205
SCH
−9.44
−10.96
−15.17
−19.07
−2.85
−4.17
−6.73


HCT116
BVD
−12.78
−30.72
−14.08
−13.05
−12.86
−22.04
−8.36


HCT116
Vx
−10.12
−15.59
−13.89
1.78
−4.45
−11.21
−25


HCT116
GDC
−19.33
−19.71
−10.36
−10.98
−9.9
−15.77
−11.96


HCT116
SCH
−16.05
−22.96
−15.27
−18.5
−14.12
−18.18
−15.89


HT29
BVD
−20.68
−25.9
−13.48
−18.76
−10.64
−10.48
−8.18


HT29
Vx
−13.94
−11.26
−8.23
−2.6
−1.72
−2.13
−25.01


HT29
GDC
−11.44
−6.7
−12.92
−10.62
−2.83
−1.75
1.61


HT29
SCH
−22.65
−7.98
−9.26
−13.03
−2.36
−6.38
−17.9


MIAPaca2
BVD
−11.73
−5.65
−18.44
−11.11
−3.59
5.95
−1.78


MIAPaca2
Vx
−5.38
7.38
−4.43
−13.24
−9.27
−3.74
−9.86


MIAPaca2
GDC
11.84
8.18
−16.12
−11.25
−3.25
2.18
−2.12


MIAPaca2
SCH
−11.48
−1.71
−8.99
−15.15
−7.51
4.43
−1.98












% change from DMSO (matched cell line)

















Avg(Bcl2


Avg(mTOR
Avg(Tuberin
Avg(Chk1
Avg(CREB


Cell Line
Treatment
S70)
Avg(Bcl 2)
Avg(Bax)
S2481)
TSC2 Y1571)
S345)
S133)





A375
BVD
−7.91
−12.55
−6.98
−3.36
−6.32
−7.43
−12.65


A375
Vx
−4.02
−9.93
−5.05
−2.9
−3.55
0.56
−15.8


A375
GDC
6.3
−3.13
3.97
−19.37
−16.74
−18.35
−1.18


A375
SCH
−12.91
−18.53
−17.32
−15.82
−13.7
−10.59
−1.55


AN3Ca
BVD
−14.81
−16.83
−10.47
2.75
2.86
−13.34
1.03


AN3Ca
Vx
−14.39
−18.77
−7.89
7.22
3.8
−9.54
0.16


AN3Ca
GDC
−0.65
7.8
23.83
25.42
25.18
15.46
5.03


AN3Ca
SCH
−12.42
−5.14
0.15
11.24
13.44
14.56
3.64


COLO205
BVD
−10.2
−0.13
0.28
−1.33
−3.48
−4.63
−2.67


COLO205
Vx
−20.82
−14.09
−9.16
−9.43
−9.45
13.12
−10.64


COLO205
GDC
−9
17.95
8.2
0.96
0.66
6.08
−11.85


COLO205
SCH
−18.52
−14.56
−6.44
−6.68
−1.38
1
−14.56


HCT116
BVD
−8.23
−3.59
−0.8
−34.09
−29.89
−39.65
−30.64


HCT116
Vx
−17.79
−17.3
−20.46
−17.82
−16.51
−16.49
−9.17


HCT116
GDC
−12.53
−4.56
−20.11
−18.34
−9.4
−18.77
−8.56


HCT116
SCH
−18.34
−10.58
−13.86
−22.53
−16.17
−18.51
−24.18


HT29
BVD
2.83
10.68
8.39
−8.64
0.66
−13.48
−3.46


HT29
Vx
−12.55
−16.73
−18.47
0.52
2.85
6.44
14.16


HT29
GDC
10.59
18.16
1.1
3.23
11.86
6.88
9.54


HT29
SCH
−11.45
−10.01
−20.59
13.93
13.25
19.05
9.87


MIAPaca2
BVD
0.89
5.86
23.44
−0.24
1.7
1.2
−19.26


MIAPaca2
Vx
−7.83
−2.3
4.33
−3.12
−0.01
2.09
−13.28


MIAPaca2
GDC
−6.78
−7.8
3.48
3.65
5.71
32.96
−21.37


MIAPaca2
SCH
−4.23
4.96
15.67
2.43
8.86
13.39
−6.63












% change from DMSO (matched cell line)


















Avg(Caspase









Cell Line
Treatment
7 Cl D198)
Avg(Stat3)
Avg(Bak)
Avg(MAK1 S360)
Avg(mTOR)
Avg(c Myc)
Avg(Stat1)
Avg(Mcl1)





A375
BVD
3.18
6.02
−3.26
3.35
0.2
2.56
1.32
10.67


A375
Vx
−7.62
1.71
0.65
−7.63
−3.31
−0.97
0.23
1.6


A375
GDC
−5.53
14.24
2.76
−5.21
−6.2
−9.11
−5.67
−9.09


A375
SCH
−6
−1.42
−2.37
0.97
−5.18
1.86
−6.01
2.11


AN3Ca
BVD
−12.35
−4.97
3.38
0.49
5.58
−0.58
−5.65
−4.9


AN3Ca
Vx
−8.09
−7.67
−1.6
6.83
−6.27
−5.47
−0.83
−4.24


AN3Ca
GDC
−15.56
−13.05
7.33
6.84
−2.85
3.99
9.15
−4.16


AN3Ca
SCH
−24.17
−6.01
9.73
−5.02
−5.33
0.88
5.52
−7.15


COLO205
BVD
6.76
−2.58
3.79
14.69
12.77
−1.11
0.53
−2.7


COLO205
Vx
0.03
−7.96
−2.79
6.22
3.62
−7.42
−6.1
−10.64


COLO205
GDC
1.37
−0.86
6.58
0.82
3.39
−6.22
7.26
2.5


COLO205
SCH
12.36
−6.1
4.59
7.54
−5.62
−0.64
−4.31
−0.14


HCT116
BVD
−21.09
−5.52
−13.16
−13.45
−11.96
−11.15
−13.76
−8.72


HCT116
Vx
−11.41
−7.76
−3.07
−13.73
−0.59
−18.56
−14.06
−7.79


HCT116
GDC
−13.99
−0.25
−1.74
−12.93
−4.85
−12.03
−6.32
−4.77


HCT116
SCH
−16.35
−7.67
−4.66
−15.32
−12.56
−12.86
−10.74
−6.55


HT29
BVD
−6.93
−6.46
−1.42
1.49
5.02
17.85
4.74
−2.83


HT29
Vx
8.28
−4.28
2.69
5.64
16.94
10.71
4.29
1.36


HT29
GDC
−0.88
−3.69
3.56
−0.04
10.45
7.56
2.58
3.71


HT29
SCH
7.02
−2.15
2.78
1.25
9.31
13.55
5.79
14.05


MIAPaca2
BVD
−6.44
−1.23
−15.15
−10.72
−3.27
−8.77
8.62
−7.27


MIAPaca2
Vx
−0.32
0.61
−1.93
−0.87
−1.58
−5.94
−1.64
−6.58


MIAPaca2
GDC
−4.92
−9.44
−8.11
−5.25
−9.8
−7.84
7.4
−1.79


MIAPaca2
SCH
8.35
−9.19
−10.88
2.74
1.64
2.11
7.17
−1.88












% change from DMSO (matched cell line)















Avg(Bad



Avg(ERK 1


Cell Line
Treatment
S136)
Avg(Chk1)
Avg(Bim)
Avg(Akt S473)
2 T202 Y204)





A375
BVD
12.31
16.94
14.57
73.07
43.34


A375
Vx
5.06
−0.86
12.32
93.85
128.93


A375
GDC
−6.21
−7.72
9.8
53.66
142.37


A375
SCH
5.32
2.83
17.52
58.13
−90.63


AN3Ca
BVD
−1.02
−8.45
−12.57
52.11
733.27


AN3Ca
Vx
−3.81
−0.46
−1.46
56.17
718.94


AN3Ca
GDC
0.71
9.43
−11.63
82.37
645.51


AN3Ca
SCH
5.26
1.35
−14.09
66.17
19.75


COLO205
BVD
5.05
−2.86
41.73
−5.78
14.39


COLO205
Vx
−1.01
−9.16
34.1
−10.96
98.48


COLO205
GDC
4
5.06
20.59
4.45
20.01


COLO205
SCH
1.88
7.49
29.22
−1.74
−91.43


HCT116
BVD
−11.49
−11.26
12.44
−6.14
849.12


HCT116
Vx
−5.39
−8.63
4.82
−16.94
873.33


HCT116
GDC
−1.24
2.28
6.2
4.69
526.64


HCT116
SCH
−10.55
−5.58
1.95
−8.76
−75.21


HT29
BVD
10.73
7.4
2.81
−3.06
54.82


HT29
Vx
5.53
4.68
3.12
−20.5
435.68


HT29
GDC
2
5.68
7.74
−10.5
268.99


HT29
SCH
9.67
14.64
0.69
−22.14
−74.84


MIAPaca2
BVD
−4.12
−3.51
−12.51
9.9
209.14


MIAPaca2
Vx
0.36
−1.8
2.1
0.48
729.27


MIAPaca2
GDC
2.25
6.56
5.07
2.24
199.59


MIAPaca2
SCH
8.62
12.07
2.08
2.84
−76.71









Example 14
BVD-523 Exhibited Activity in In Vitro Models of BRAF and MEK Inhibitor Resistance

Emergence of resistance to BRAF and MEK inhibitors limits their clinical efficacy. Here, the experiments sought to model and compare the development of resistance to BRAF (dabrafenib), MEK (trametinib), and ERK1/2 (BVD-523) inhibition in vitro. Over several months, BRAFV600E-mutant A375 cells were cultured in progressively increasing concentrations of each inhibitor. Drug-resistant A375 cell lines were readily obtained following growth in high concentrations of trametinib or dabrafenib, while developing cell lines with resistance to BVD-523 proved challenging (FIG. 34A). Overall, these in vitro data suggest that at concentrations yielding similar target inhibition, resistance to BVD-523 is delayed compared with dabrafenib or trametinib, and may translate to durable responses in the clinic.


Reactivation and dependence on ERK1/2 signaling is a common feature of acquired resistance to BRAF/MEK inhibition (Morris et al. 2013 and Hatzivassiliou et al. 2012); therefore, the activity of BVD-523 in in vitro models of acquired resistance was evaluated. First, a dabrafenib and trametinib combination-resistant A375 population was obtained using the increased concentration method described. The IC50 and IC50-fold change from parental A375 for dabrafenib, trametinib, and BVD-523 in the BRAF/MEK combination-resistant population is shown in Table 24. BVD-523 IC50 was modestly shifted (2.5-fold), while dabrafenib and trametinib were more significantly shifted (8.5-fold and 13.5-fold, respectively) (Table 24). The cytotoxic agent paclitaxel was tested as a control with only a modest shift in potency observed. These data support the investigation of BVD-523 in the setting of BRAF/MEK therapy resistance, although the mechanism of resistance in this cell population remains to be characterized.









TABLE 24







BVD-523 activity in models of BRAF/MEK inhibition











Cell Line
Dabrafenib
Trametinib
BVD-523
Paclitaxel














Parental
2.1
0.2
129
1.9


(IC50nM)


BRAFi- +
17.9
2.7
323
3.5


MEKi-


resistant


(IC50nM)


Fold
+8.5
+13.5
+2.5
+1.8


Change









To further investigate the tractability of ERK1/2 inhibition in a model with a known mechanism of BRAF inhibitor resistance, AAV-mediated gene targeting was used to generate a pair of RKO BRAFV600E-mutant cell lines isogenic for the presence or absence of an engineered heterozygous knock-in of MEK1Q56P-activating mutation (Trunzer et al. 2013 and Emery et al. 2009). MEK1/2 mutations, including MEK1Q56P, have been implicated in both single-agent BRAF and combination BRAF/MEK therapy-acquired resistance in patients (Wagle et al. 2011, Wagle et al. 2014, Emery et al. 2009 and Johnson et al. 2015). Single-agent assays demonstrated that relative to the parental BRAFV600E::MEK1wt cells, the double-mutant BRAFV600E::MEK1Q56P cells displayed a markedly reduced sensitivity to the BRAF inhibitors vemurafenib and dabrafenib and the MEK inhibitor trametinib (FIG. 34B). In contrast, response to BVD-523 was essentially identical in both the parental and MEKQ56P-mutant cells, indicating that BVD-523 is not susceptible to this mechanism of acquired resistance. These results were confirmed in 2 independently derived double-mutant BRAFV600E::MEK1Q56P cell line clones, thus validating that results were specifically related to the presence of the MEK1Q56P mutation rather than an unrelated clonal artifact (data not shown). Similar results were also observed with a second mechanistically distinct ERK1/2 inhibitor (SCH772984), supporting the expectation that these observations are specifically related to mechanistic inhibition of ERK1/2 and not due to an off-target compound effect.


To further characterize the mechanistic effects of BVD-523 on MAPK pathway signaling in BRAFV600E::MEK1Q56P cell lines, protein levels were assessed by Western blot (FIG. 34C). In the parental BRAFV600E RKO cells, a reduced level of pRSK1/2 was observed following 4-hour treatment with BRAF (vemurafenib), MEK (trametinib), or ERK1/2 (BVD-523) inhibitors at pharmacologically active concentrations. In contrast, isogenic double-mutant BRAFV600E::MEK1Q56P cells did not exhibit reduced RSK phosphorylation following BRAF or MEK inhibitor treatment, while BVD-523 remained effective in inhibiting pRSK1/2 to a level comparable to parental RKO. Similarly, pRB is reduced, indicating G0/G1 arrest, by 24 hours of BVD-523 treatment in both parental RKO and BRAFV600E::MEK1Q56P.


Acquired KRAS mutations are also known drivers of resistance to MAPK pathway inhibitors. To understand the susceptibility of BVD-523 to this mechanism of resistance, an isogenic panel of clinically relevant KRAS mutations in colorectal cell line SW48 was used. Sensitivity to BVD-523 was compared with MEK inhibitors selumetinib and trametinib (FIG. 34D). Sensitivity to paclitaxel was unaltered (FIG. 37A). While several mutant KRAS alleles conferred robust to intermediate levels of resistance to MEK inhibition, sensitivity to BVD-523 was unaltered by the majority of alleles, and where a shift in sensitivity was observed, it was not to the extent observed with trametinib or selumetinib. Overall, these data suggest that BVD-523 is more efficacious in this context than MEK inhibitors.


Example 15
BVD-523 Demonstrates In Vivo Activity in a BRAF Inhibitor-Resistant Patient-Derived Melanoma Xenograft Model

To confirm and extend the antitumor effects of BVD-523 observed in in vitro models of BRAF-/MEK-acquired resistance, a BRAF-resistant xenograft model derived from a patient with resistance to vemurafenib was utilized. BVD-523 was dosed by oral gavage at 100 mg/kg BID for 28 days, both alone and in combination with dabrafenib at 50 mg/kg BID (FIG. 35). As expected, minimal antitumor activity was demonstrated for single-agent dabrafenib (22% TGI). BVD-523 activity was significant compared with vehicle control (P≤0.05), with a TGI of 78%. In this model, combining BVD-523 with dabrafenib resulted in a TGI of 76% (P≤0.05); therefore, further benefit was not gained for the combination compared with single-agent BVD-523 in this model of BRAF-acquired resistance.


Example 16
Combination Therapy with BVD-523 and a BRAF Inhibitor Provides Promising Antitumor Activity

Patients with BRAF-mutant cancer may acquire resistance to combined BRAF/MEK therapy (Wagle et al. 2014), warranting consideration of other combination approaches within the MAPK pathway. The anti-proliferative effects of combining BVD-523 with the BRAF inhibitor vemurafenib was assessed in the BRAFV600E-mutant melanoma cell line G-361. As anticipated, single agents BVD-523 and vemurafenib were both active, and modest synergy was observed when combined (FIG. 37B). This indicates that BVD-523 combined with BRAF inhibitors are at least additive and potentially synergistic in melanoma cell lines carrying a BRAFV600E mutation. Furthermore, generating acquired resistance in vitro following continuous culturing of BRAFV600E mutant cell line (A375) in BRAF inhibitor plus BVD-523 was challenging. In contrast generating resistance to dabrafenib alone occurred relatively rapidly (FIG. 37C). Even resistance to combined dabrafenib and trametinib emerged before dabrafenib plus trametinib.


The benefit of combined BRAF and ERK inhibition may not be fully realized in in vitro combination studies where concentrations are not limited by tolerability. To understand the benefit of the combination, efficacy was assessed in vivo utilizing xenografts of the BRAFV600E-mutant human melanoma cell line A375. Due to the noteworthy response to combination treatment, dosing in the combination groups was stopped on Day 20 to monitor for tumor regrowth, and was reinitiated on Day 42 (FIG. 36A). Tumors were measured twice weekly until the study was terminated on Day 45. The median time to endpoint (TTE) for controls was 9.2 days, and the maximum possible tumor growth delay (TGD) of 35.8 days was defined as 100%. Temozolomide treatment resulted in a TGD of 1.3 days (4%) and no regressions. The 50- and 100-mg/kg dabrafenib monotherapies produced TGDs of 6.9 days (19%) and 19.3 days (54%), respectively, a significant survival benefit (P<0.001), and 1 PR in the 100-mg/kg group. The 100-mg/kg BVD-523 monotherapy resulted in a TGD of 9.3 days (26%), a significant survival benefit (P<0.001), and 2 durable complete responses. The combinations of dabrafenib with BVD-523 each produced the maximum possible 100% TGD with noteworthy regression responses, and statistically superior overall survival compared with their corresponding monotherapies (P<0.001). The lowest dose combination produced a noteworthy 7/15 tumor-free survivors (TFS), and the 3 higher-dosage combinations produced a total of 43/44 TFS, consistent with curative or near-curative activity (FIG. 36B). In summary, the combination of dabrafenib with BVD-523 produced a greater number of TFS and superior efficacy to either single agent.


Based on the activity of BVD-523 plus dabrafenib in A375 xenograft models with a starting tumor volume of approximately 75-144 mm3, a follow-up experiment was conducted to determine the efficacy of combination therapy in “upstaged” A375 xenografts (average tumor start volume, 700-800 mm3) (FIG. 36C). The median TTE for controls was 6.2 days, establishing a maximum possible TGD of 53.8 days, which was defined as 100% TGD for the 60-day study. BVD-523 100-mg/kg monotherapy produced a negligible TGD (0.7 day, 1%) and no significant survival difference from controls (P>0.05). The distribution of TTEs and 2 PRs suggested there may have been a subset of responders to treatment with BVD-523 alone. Dabrafenib 50-mg/kg monotherapy was efficacious, yielding a TGD of 46.2 days (86%) and a significant survival benefit compared with controls (P<0.001). This group had 5 PRs and 5 CRs, including 3 TFS, among the 11 evaluable mice (FIG. 36D). Both combinations of dabrafenib with BVD-523 produced the maximum 100% TGD and a significant survival benefit compared with controls (P<0.001). Each combination produced 100% regression responses among evaluable mice, though there were distinctions in regression activity. The 25-mg/kg dabrafenib and 50-mg/kg BVD-523 combination had 2 PRs and 8 CRs, with 6/10 TFS, whereas the 50-mg/kg dabrafenib and 100-mg/kg BVD-523 combination had 11/11 TFS on Day 60 (FIG. 36D). Overall, these data support the rationale for frontline combination of BVD-523 with BRAF-targeted therapy in BRAFV600E-mutant melanoma, and this is likely to extend to other tumor types harboring this alteration.


Discussion

BVD-523 is a potent, highly selective, reversible, small molecule ATP-competitive inhibitor of ERK1/2 with activity in in vivo and in vitro cancer models. In vitro, BVD-523 demonstrated potent inhibition against several human tumor cell lines, particularly those harboring activating mutations in the MAPK signaling pathway, consistent with its mechanism of action. BVD-523 elicited changes in downstream target and effector proteins, including inhibition of direct substrate of ERK1/2, pRSK, and total DUSP6 protein levels. These findings are in line with those of previous studies of other ERK1/2 inhibitors, which demonstrated effective suppression of pRSK with ERK1/2 inhibition (Morris et al. 2013 and Hatzivassiliou et al. 2012). Interestingly, BVD-523 treatment resulted in a marked increase in ERK1/2 phosphorylation in vitro and in vivo. Similar to our findings, an increase in pERK1/2 has been reported with the ERK1/2 inhibitor Vx11e; conversely, pERK1/2 inhibition occurs with SCH772984 (Morris et al. 2013). Although differences in pERK1/2 levels were observed among the various ERK1/2 inhibitors tested, downstream effectors (i.e., pRSK1 and total DUSP6) were similarly inhibited. These findings suggest quantifying ERK1/2 target substrates, such as pRSK1, may serve as reliable pharmacodynamic biomarkers for BVD-523-mediated inhibition of ERK1/2 activity.


While BRAF (dabrafenib, vemurafenib) and MEK (trametinib, cobimetinib) inhibitors validate the MAPK pathway as a therapeutic target, particularly in patients with BRAFV600 mutations, the antitumor response is limited by the emergence of acquired resistance and subsequent disease progression. Resistance has been attributed to the upregulation and activation of compensatory signaling molecules (Nazarian et al. 2010, Villanueva et al. 2010, Johannessen et al. 2010 and Wang et al. 2011), amplification of the target genes (Corcoran et al. 2010), and activating mutations of pathway components (e.g., RAS, MEK) (Wagle et al. 2011, Emery et al. 2009 and Wang et al. 2011). Reactivation of the ERK1/2 pathway is one common consequence of acquired resistance mechanism. When introduced into the BRAFV600E-mutant melanoma cell line A375, MEKQ56P conferred resistance to MEK and BRAF inhibition (Wagle et al. 2011). By contrast, BVD-523 retained its potent inhibitory activity in the engineered MEKQ56P cell line, indicating that ERK1/2 inhibition is effective in the setting of upstream activating alterations which can arise in response to BRAF/MEK treatment. As further evidence of a role for BVD-523 in the context of acquired resistance, efficacy of BVD-523 was evident in a xenograft model derived from a tumor sample from a patient whose disease progressed on vemurafenib; the BRAF inhibitor dabrafenib was not effective in this model. These data support a role for targeting ERK1/2 in the setting of BRAF/MEK resistance, and complement previously published findings (Morris et al. 2013 and Hatzivassiliou et al. 2012). To further characterize resistance to inhibitors of the MAPK pathway, the emergence of resistance to BVD-523 itself was investigated. It was found that single-agent treatment of cancer cells with BVD-523 was durable and more challenging to develop resistance compared with other agents targeting upstream MAPK signaling components (i.e., dabrafenib, trametinib). This may suggest that acquiring resistance to ERK1/2-targeting agents is harder to achieve than acquiring resistance to BRAF or MEK therapy, potentially due to the fact that BVD-523 preferentially targets the more conserved active confirmation of the ATP binding site. However, in vitro studies with other ERK1/2 inhibitors have identified specific mutants in ERK1/2 that drive resistance (Jha et al. 2016 and Goetz et al. 2014); these specific mutations have yet to be identified in clinical samples from ERK1/2 inhibitor-relapsed patients.


The potential clinical benefit of ERK1/2 inhibition with BVD-523 extends beyond the setting of BRAF/MEK therapy-resistant patients. As ERK1/2 is a downstream master node within this MAPK pathway, its inhibition is attractive in numerous cancer settings where tumor growth depends on MAPK signaling. Approximately 30% of all cancers harbor RAS mutations; therefore, targeting downstream ERK1/2 with BVD-523 is a rational treatment approach for these cancers. Furthermore, results from a study by Hayes et al. indicate that prolonged ERK1/2 inhibition in KRAS-mutant pancreatic cancer is associated with senescent-like growth suppression (Hayes et al. 2016). However, a combination approach may be required for maximal and durable attenuation of MAPK signaling in the setting of RAS mutations. For example, MEK inhibition in KRAS-mutant colorectal cancer cell results in an adaptive response of ErbB family activation, which dampens the response to MEK inhibition (Sun et al. 2014). Similar context-specific adaptive responses may occur following ERK1/2 inhibition with BVD-523. The optimal treatment combinations for various genetic profiles and cancer histologies are the subject of ongoing research. In addition to BRAFV600 and RAS mutations, other alterations which drive MAPK are emerging. For example, novel RAF fusions and atypical non-V600 BRAF mutations which promote RAF dimerization activate the MAPK pathway (Yao et al. 2015). BRAF inhibitors such as vemurafenib and dabrafenib which inhibit BRAFV600E-mutant monomer proteins have been shown to be inactive in atypical RAF alterations which drive MAPK signaling in a dimerization-dependent manner (Yao et al. 2015). However, treatment with BVD-523 to target downstream ERK1/2 in these tumors may be a novel approach to addressing this unmet medical need.


In the setting of BRAFV600E-mutant melanoma tumors, combined BRAF and MEK inhibition exemplifies how agents targeting different nodes of the same pathway can improve treatment response and duration. Our combination studies in BRAFV600E-mutant xenografts of human melanoma cell line A375 provides support for combination therapy with BVD-523 and BRAF inhibitors. The combination demonstrated superior benefit relative to single-agent treatments, including results consistent with curative responses. The clinical efficacy and tolerability of combined BRAF/BVD-523 therapy remains to be determined. It would not be unreasonable to expect that a BRAF/ERK1/2 combination will at least be comparable in efficacy to a targeted BRAF/MEK combination. Furthermore, the in vitro observation that acquired resistance to BVD-523 is more challenging to achieve compared with other MAPK pathway inhibitors suggests that the BRAF/BVD-523 inhibitor combination has the potential to provide a more durable response.


Significant progress has also been made using immunotherapy for melanoma. The US FDA has approved various immune checkpoint inhibitors for the treatment of advanced melanoma, including the cytotoxic T-lymphocyte antigen-4 targeted agent ipilimumab and the programmed death −1 inhibitors pembrolizumab and nivolumab. Combining BVD-523 with such immunotherapies is an attractive therapeutic option; further investigation is warranted to explore dosing schedules and to assess whether synergistic response can be achieved.


Based on the preclinical data, BVD-523 may hold promise for treatment of patients with malignancies dependent on MAPK signaling, including those whose tumors have acquired resistance to other treatments. The clinical development of BVD-523 is described below. See, Examples 17-24


Example 17
Phase I Dose-Escalation Study of the First-in-Class Novel Oral ERK1/2 Kinase Inhibitor BVD-523 (ulixertinib) in Patients With Advanced Solid Tumors

The present invention describes the first-in-human dose escalation study of an ERK1/2 inhibitor for the treatment of patients with advanced solid tumors. BVD-523 has an acceptable safety profile with favorable pharmacokinetics and early evidence of clinical activity.


Mitogen-activated protein kinase (MAPK) signaling via the RAS-RAF-MEK-ERK cascade plays a critical role in oncogenesis; thus attracting significant interest as a therapeutic target. This ubiquitous pathway is composed of RAS upstream of a cascade of the protein kinases RAF, MEK1/2, and ERK1/2. RAS is activated by GTP binding, which in turn results in activation of each protein kinase sequentially. Although they appear to be the only physiologic substrates for MEK1/2, ERK1/2 have many targets in the cytoplasm and nucleus, including the transcription factors Elk1, c-Fos, p53, Ets1/2, and c-Jun (Shaul et al. 2007). ERK1/2 activation and kinase activity influences cellular proliferation, differentiation, and survival through a variety of mechanisms (Rasola et al. 2010), including activation of the ribosomal S6 kinase (RSK) family members (Romeo et al. 2012).


Constitutive, aberrant activation of the RAS-RAF-MEK1/2-ERK1/2 signaling pathway has been identified and implicated in the development or maintenance of many cancers (Schubbert et al. 2007 and Gollob et al. 2006). Mutations in RAS family genes, such as KRAS, NRAS, and HRAS are the most common, with activating RAS mutations occurring in ≈30% of human cancers (Schubbert et al. 2007). KRAS mutations are prevalent in pancreatic (>90%) (Kanda et al. 2012), biliary tract (3%-50%) (Hezel et al. 2014), colorectal (30%-50%) (Arrington et al. 2012), lung (27%) (Pennycuick et al. 2012), ovarian (15%-39%) (Dobrzycka et al. 2009), and endometrioid endometrial (18%) (O'Hara and Bell 2012) cancers; NRAS mutations are prevalent in melanoma (20%) (Khattak et al. 2013) and myeloid leukemia (8%-13%) (Yohe 2015); and HRAS mutations are prevalent in bladder (12%) cancer (Fernandez-Medarde and Santos 2011). Mutations in RAF family genes, most notably BRAF, are frequent, particularly in melanoma. BRAF mutations have been identified in 66% of malignant melanomas and in ˜7% of a wide range of other cancers (Davies et al. 2002), while MEK mutations are rarer, occurring at an overall frequency of 8% in melanomas (Nikolaev et al. 2012). In contrast, ERK mutations resulting in tumorigenesis have been reported only rarely to date (Deschenes-Simard et al. 2014).


The US Food and Drug Administration (FDA) has approved two selective BRAF inhibitors, vemurafenib and dabrafenib, as monotherapies for patients with BRAFV600-mutant metastatic melanoma (Taflinar [package insert] and Zelboraf [package insert]). Though response rates for these targeted therapies can be as high as 50% in in patients with BRAFV600 mutations, duration of response is often measured in months, not years (Hauschild et al. 2012 and McArthur et al. 2014). The MEK1/2 inhibitor trametinib is also approved as a monotherapy in this setting (Mekinist [package insert]), but is more commonly used in combination with the BRAF inhibitor dabrafenib. First-line use of trametinib administered in combination with dabrafenib offers an even greater improvement in overall survival compared with vemurafenib monotherapy without increased overall toxicity (Robert et al. 2015), highlighting the potential utility of simultaneously targeting multiple proteins of this MAPK signaling pathway. This therapeutic combination was also associated with a lower incidence of MEK inhibitor-associated rash and BRAF inhibitor-induced hyperproliferative skin lesions compared with each single agent alone (Flaherty et al. 2012). Recently, a phase III trial also demonstrated significant improvements in overall survival (25.1 vs. 18.7 months, hazard ratio [HR] 0.71, P=0.0107), progression-free survival (PFS) (11.0 vs. 8.8 months, HR 0.67, P=0.0004), and overall response (69% vs. 53%; P=0.0014) with dabrafenib plus trametinib versus dabrafenib alone in patients with BRAFV600E/K mutation-positive melanoma (Long et al. 2015). Similarly, significant improvements in PFS (9.9 vs. 6.2 months, HR 0.51, P<0.001) and the rate of complete response (CR) or partial response (PR) (68% vs. 45%; P<0.001) have been demonstrated with the combination of cobimetinib plus vemurafenib compared with vemurafenib alone (Larkin et al. 2014). To this end, FDA approval was recently granted for the combination of vemurafenib and cobemetinib for BRAFV600E/K-mutated melanoma. Based on these and related findings, the combination of a BRAF inhibitor plus a MEK inhibitor has become a standard targeted treatment option for patients with metastatic melanoma containing BRAFV600E/K mutations.


Though BRAF/MEK-targeted combination therapy has been demonstrated to provide significant additional benefit beyond single-agent options, most patients eventually develop resistance and disease progression after ˜12 months (Robert et al. 2015, Flaherty et al. 2012 and Long et al. 2015). Several mechanisms of acquired resistance following either single-agent or combination therapies have been identified, including the generation of BRAF splicing variants, BRAF amplification, development of NRAS or MEK mutations, and upregulation of bypass pathways (Poulikakos et al. 2011, Corcoran et al. 2010, Nazarian et al. 2010, Shi et al. 2014, Johannessen et al. 2010, Wagle et al. 2011, Wagle et al. 2014 and Ahronian et al. 2015). Central to many of these mechanisms of resistance is the reactivation of ERK signaling, which enables the rapid recovery of MAPK pathway signaling and escape of tumor cells from single-agent BRAF or combination BRAF/MEK inhibitor therapies (Paraiso et al. 2010). ERK inhibition may provide the opportunity to avoid or overcome resistance from upstream mechanisms, as it is the most distal master kinase of this MAPK signaling pathway. This is supported by preclinical evidence that inhibition of ERK by small molecule inhibitors acted to both inhibit the emergence of resistance and overcome acquired resistance to BRAF and MEK inhibitors (Morris et al. 2013 and Hatzivassiliou et al. 2012).


BVD-523 is a highly potent, selective, reversible, ATP-competitive ERK1/2 inhibitor which has been shown to reduce tumor growth and induce tumor regression in BRAF and RAS mutant xenograft models. Furthermore, single-agent BVD-523 inhibited human xenograft models that were cross-resistant to both BRAF and MEK inhibitors. See, Examples 9-16. Therefore, an open-label, first-in-human study (Clinicaltrials.gov identifier, NCT01781429) of oral BVD-523 to identify both the maximum tolerated dose and the recommended dose for further study was undertaken. The present study also aimed to assess pharmacokinetic and pharmacodynamic properties as well as preliminary efficacy in patients with advanced cancers.


Example 18
Patient Characteristics

A total of 27 patients were enrolled and received at least one dose of study drug from Apr. 4, 2013 to Dec. 1, 2015. Baseline demographics and disease characteristics are shown in Table 25. The median patient age was 61 years (range, 33-86 years). Fifty-two percent (14/27) of patients were male and 63% (17/27) had an Eastern Cooperative Oncology Group (ECOG) performance status of 1. Melanoma was the most common cancer (30%; BRAF mutation present in 7/8 of these patients). The remaining patients had colorectal (19%; 5/27), papillary thyroid (15%; 4/27), or non-small cell lung cancer (NSCLC) (7%; 2/27), and 8 (30%) were classified as having other cancers (2 pancreatic, 1 appendiceal, 1 nonseminomatous germ cell, 1 ovarian and 3 with unknown primary). The majority of patients had received 2 or more prior lines of systemic therapy, with 41% (11/27) receiving 2 to 3 and 48% (13/27) receiving >3 prior lines of systemic therapy.









TABLE 25







Baseline demographics and clinical characteristics of patients










Parameter
N = 27















Median age, years (range)
61
(33-86)



Sex, n (%)



Female
13
(48)



Male
14
(52)



Ethnicity, n (%)



Not Hispanic/Latino
27
(100)



ECOG performance status



 0
10
(37)



 1
17
(63)



Cancer type, n (%)



Melanomaa
8
(30)



Colorectal
5
(19)



Papillary thyroid
4
(15)



Non-small cell lung
2
(7)



Otherb
8
(30)



Molecular abnormalities, n (%)c



BRAF mutant
13
(48)



KRAS mutant
6
(22)



NRAS mutant
2
(7)



Otherd
7
(26)



Unknown
4
(15)



Number of prior systemic anticancer



regimens, n (%)



 0
1
(4)



 1
2
(7)



2-3
11
(41)



>3
13
(48)



Prior BRAF/MEK-targeted therapye, n (%)
11
(41)



BRAF
5
(19)



MEK
6
(22)



BRAF/MEK
2
(7)








aSeven were BRAF mutant and 1 was unknown.





bTwo pancreatic, 1 appendiceal, 1 non-seminomatous germ cell, 1 ovarian, 3 unknown primary.





cPatients may have more than 1 molecular abnormality.





dOther molecular abnormalities included ERCC1, RRM1, thymidylate synthetase, GNAS, MEK1, TP53, CREBBP, ROS1, PTEN, AKT3, and PIK3CA.





eSome patients were treated with more than one BRAF inhibitor.




Abbreviation:



ECOG, Eastern Cooperative Oncology Group.






Example 19
Ex Vivo Effects of BVD-523 on RSK1/2 Phosphorylation

An ex vivo biomarker assay that could be used to support clinical studies was developed to demonstrate the inhibitory effects of BVD-523 on ERK activity. The assay extends preclinical cellular data where inhibitors of MAPK signaling, such as BVD-523, dabrafenib, trametinib, and vemurafenib, have been shown to inhibit RSK phosphorylation as a function of inhibitor concentration in BRAF mutant cancer cell lines. See, Examples 9-16. Specifically, ERK inhibitor-dependent inhibition of phorbol 12-myristate 13-acetate (PMA)-stimulated phosphorylation of the ERK substrate RSK1 in whole blood was used as a target marker. When BVD-523 was added directly to whole blood from healthy volunteers, PMA-stimulated RSK phosphorylation decreased with increasing concentrations of BVD-523 (FIG. 38). The mean IC50 for the cumulative data was 461±20 nM for BVD-523, with a maximum inhibition of 75.8±2.7% at 10 μM BVD-523. Maximum inhibition was defined as the RSK phosphorylation measured in the presence of 10 μM BVD-523. Patient-derived whole blood samples, collected just prior to dosing or at defined timepoints following dosing with BVD-523, were similarly treated and RSK phosphorylation levels quantitated.


Example 20
Dose Escalation, Dose-Limiting Toxicities (DLTs), Maximum Tolerated Dose (MTD), and Recommended Phase II Dose (RP2D)

As per protocol, 5 single-patient cohorts (from 10 to 150 mg twice-daily [BID]) proceeded without evidence of a DLT. The 300-mg BID cohort was expanded to more fully characterize BVD-523 exposures. One of 6 patients given 600 mg BID experienced a DLT of Grade 3 rash. The 900-mg BID dose exceeded the MTD, with one patient experiencing Grade 3 pruritus and elevated aspartate aminotransferase (AST) and another patient experiencing Grade 3 diarrhea, vomiting, dehydration, and elevated creatinine (Table 26). The subsequent intermediate dose of 750 mg BID also exceeded the MTD, with DLTs of Grade 3 rash and Grade 2 diarrhea in 1 patient and Grade 2 hypotension, elevated creatinine, and anemia in another patient. Therefore, the MTD and RP2D were determined to be 600 mg BID.









TABLE 26







Dose-limiting toxicities in Cycle 1 (21 days)









Dose,




mg
DLT


(BID)
Frequency
DLT Description





10
0/1
N/A


20
0/1
N/A


40
0/1
N/A


75
0/1
N/A


150 
0/1
N/A


300 
0/4
N/A


600 
1/8
Rash (Grade 3)


750a 
2/4
Rash (Grade 3), diarrhea (Grade 2)




Hypotension (Grade 2), elevated creatinine (Grade 2),




anemia (Grade 2), delay to cycle 2 dosing


900 
2/7
Pruritus (Grade 3), elevated AST (Grade 3)




Diarrhea (Grade 3), vomiting (Grade 3), dehydration




(Grade 3), elevated creatinine (Grade 3)






aIntermediate dose.



Abbreviations:


AST, aspartate transaminase,


BID, twice daily;


DLT, dose-limiting toxicity;


N/A, not applicable.






Example 21
Adverse Events (AEs)

Investigator-assessed treatment-related AEs of any grade were noted in 26 of 27 patients (96%). The most common treatment-related AEs (>30%) were rash (predominately acneiform) (70%), fatigue (59%), diarrhea (52%), and nausea (52%) (Table 27). No patients experienced a Grade 4 or 5 treatment-related AE or discontinued treatment due to a treatment-related AE. Most events were Grade 1 to 2, with treatment-related Grade 3 events noted in 13 of 27 patients (48%). The only Grade 3 treatment-related events present in ≥10% of patients were diarrhea (15%) and increased liver function tests (11%), all of which occurred above the 600-mg BID dose.









TABLE 27







Adverse events possibly/definitely related to BVD-523 in ≥10% of


patients









N = 27











Any grade, n
Grade 1 or 2,
Grade 3a, n


Event
(%)
n (%)
(%)





Rash
20 (74) 
18 (67) 
2b (7) 


Fatigue
17 (63) 
16 (59) 
1 (4)


Diarrhea
16 (59) 
12 (44) 
 4 (15)


Nausea
14 (52) 
14 (52) 
0


Vomiting
8 (30)
7 (26)
1 (4)


Anorexia
6 (22)
6 (22)
0


Pruritus
6 (22)
6 (22)
0


Anemia
5 (19)
3 (11)
2 (7)


Increased creatinine
5 (19)
4 (15)
1 (4)


Dehydration
5 (19)
3 (11)
2 (7)


Peripheral edema
4 (15)
4 (15)
0


Increased LFTs (ALT
4 (14)
1 (4) 
 3 (11)


and AST)


Blurry/dimmed visionc
3 (11)
3 (11)
0


Constipation
3 (11)
3 (11)
0


Fever
3 (11)
3 (11)
0






aNo patients experienced Grade 4 or 5 AEs that were possibly or definitely related to BVD-523 treatment.




bAcneiform and maculo-papular rash.




cOne Grade 1 event of related central serous retinopathy.



Analysis cut-off date: Dec. 1, 2015.


Abbreviations:


AEs, adverse events;


ALT, alanine transaminase;


AST, aspartate transaminase;


LFTs, liver function tests.






Fourteen patients experienced a total of 28 serious AEs (SAEs). Nine of these were considered to be related or possibly related to BVD-523 by the investigator, which included dehydration, diarrhea, or elevated creatinine (2 patients each), vomiting, nausea, and fever (1 patient each). All other SAEs were considered to be unrelated to treatment with BVD-523. Dose reductions resulting from AEs occurred in 3 patients during the study: 1 patient reduced from 600 mg BID to 300 mg BID and 2 patients reduced from 900 mg BID to 600 mg BID.


Example 22
Pharmacokinetics

Single-dose and steady-state pharmacokinetics of BVD-523 are summarized in FIG. 39A and Table 28. Generally, orally administered BVD-523 was slowly absorbed in patients with advanced malignancies. After reaching the maximum concentration (Cmax), plasma BVD-523 levels remained sustained for approximately 2 to 4 hours. Subsequently, plasma drug concentrations slowly declined. Since plasma drug concentrations were measured only up to 12 hours after the morning dose, it was not possible to calculate an effective or terminal phase elimination rate. BVD-523 pharmacokinetics were linear and dose proportional in terms of both C. and area under the curve (AUC) when administered up to 600 mg BID. A further increase in exposure was not observed as the dose increased from 600 to 900 mg BID. The Cmax reached the level of the EC50 based on the ex vivo whole blood assay (200 ng/mL) for all doses above 20 mg BID. Additionally, steady-state exposures remained at or above the target EC50 for dose levels of 150 mg BID throughout the dosing period. Minimal plasma accumulation of BVD-523 and its metabolites were observed on Day 15 at the lower (<75 mg BID) dose levels, whereas accumulation ranged from approximately 1.3- to 4.0-fold for the higher dose levels. Predose concentrations on Day 22 were generally similar to those on Day 15, indicating that steady state had already been attained by Day 15 (data not shown). The degree of interpatient variability in plasma exposure to BVD-523 and its metabolites was considered moderate and not problematic.









TABLE 28







Steady-state BVD-523 pharmacokinetics (Cycle 1, Day 15)










Dose,

Cmax, ng/mL ± SD
AUC0.22, ng · hr/mL ± SD












mga
n∞
Day 1
Day 15
Day 1
Day 15















 10
1
48.2
45.7
220
234


 20
1
14.9
15.8
91.7
98.7


 40
1
100
191
614
999


150
1
133
326
817
2770


300
4b
765 ± 234
586 ± 257 

4110 ± 1140

4460 ± 2460



600c

7d
1110 ± 589 
2750 ± 1740 

2750 ± 1740

24400 ± 16200


750
4b
1450 ± 539 
2290 ± 1790f
10700 ± 1120g

23300 ± 19800f



900
7e
1430 ± 1010
1720 ± 328  
10800 ± 6320h
15900 ± 1300g






aDose level administered twice daily;




bN = 3 on Day 15;




cNumber of subjects for Day 15 at the 600 mg dose level includes two subjects who started Day 1 dosing at 900 mg and were later reduced to 600 mg;




dn = 8 on Day 15;




en = 4 on Day 15;




fOne subject started on Day 1 dosing at 750 mg and was later reduced to 450 mg. Day 15 parameters for this subject reflect at least 10 consecutive doses at 450 mg/dose. Individual Day 15 parameters were 1300 ng/ml, for Cmax and 10700 ng · hr/mL for AU0-22;




gn = 3;




hn = 5.







The urinary excretion after first dose and at steady state of BVD-523 was negligible (<0.2% of the dose) at all dose levels within 12 hours postdose, and not dose-related within this very low percentage range. Renal clearance appeared to be dose-independent. Individual renal clearance values ranged from 0.128 to 0.0895 L/hr (where n=1 per dose level) and mean values ranged from 0.0149 to 0.0300 L/hr (where n 3).


Example 23
Pharmacodynamic Confirmation of Target Inhibition by BVD-523

To confirm on-target and pathway inhibition by BVD-523, RSK-1 phosphorylation was examined as a target biomarker in human whole blood samples from patients with solid tumors who received BVD-523. Steady state whole blood samples collected just prior to Day 15 dosing from BVD-523-treated patients displayed concentration-dependent inhibition of PMA stimulated ERK activity (FIG. 39B), ranging from 0% ERK inhibition with BVD-523 dosing at 10 mg BID to 93±8% ERK inhibition with dosing at 900 mg BID. The plasma concentrations of BVD-523 that yielded 50% inhibition of ERK phosphorylation were similar whether BVD-523 was spiked directly into healthy volunteer plasma or was present following oral dosing of patients.


Example 24
Antitumor Effects

Tumor response to BVD-523 was assessed in 25 evaluable patients using Response Evaluation Criteria in Solid Tumors version 1.1 (RECIST v1.1); 2 patients did not receive both scans of target lesions and were thus not evaluated using RECIST v1.1. No patients achieved a complete response, but 3 patients (all patients with melanoma with BRAFV600 mutations) achieved a partial response (129 days [BRAF/MEK-inhibitor naïve], 294 days ongoing at [refractory to prior BRAF/MEK inhibitors], 313 days ongoing by the data cutoff date [intolerant to other BRAF/MEK inhibitors]) (FIG. 40A). Interestingly, all 3 partial responders had BRAF-mutant melanoma. One partial responder, who was receiving BVD-523 at a dose of 450 mg BID, had an approximate 70% reduction in the sum of target lesions from baseline, while the other partial responders showed reductions of 47.0% and 33.6%. Stable disease was demonstrated in 18 patients, with 6 having stable disease for more than 6 months, and 6 additional patients having stable disease for more than 3 months. In this study, 4 patients displayed progressive disease at first evaluation.



FIG. 40B shows computed tomography (CT) scans of 1 of the 3 partial responders (RECIST v1.1) who had progressed on prior vemurafenib and subsequent dabrafenib/trametinib treatment; a durable partial response was observed following dosing of BVD-523 600 mg BID for >300 days. BVD-523 was associated with a metabolic response using fluorodeoxyglucose-positive emission tomography (18F-FDG-PET) in 5 of 16 evaluable patients.



FIG. 41 depicts the time to response and the duration of response in the study population. The two patients who demonstrated responses to BVD-523 remained on study and continued with BVD-523 treatment as of the study cutoff date (>500 days); additionally, one patient with bronchoalveolar NSCLC (not enough tissue for molecular profiling) had been on treatment for >700 days with stable disease. Twenty-four of 27 patients (90%) discontinued treatment due to progressive disease (22/27, 82%) or other reasons (2/27, 7%). The mean duration of BVD-523 treatment before discontinuation was 4.7 months.


Discussion

The present invention presents results from a first-in-human study evaluating the safety, pharmacokinetics, pharmacodynamics, and preliminary efficacy of BVD-523 in 27 patients with advanced solid tumors. In this dose-escalation study, oral treatment with BVD-523 resulted in both radiographic responses by RECIST v1.1 (3 partial responses) and prolonged disease stabilization in some patients, the majority of whom had been treated with prior systemic therapies. Evidence of BVD-523-dependent inhibition of metabolic response in tumors was established in a subset of patients by imaging tumor uptake of 18F-glucose. Drug exposures increased linearly with increasing doses up to 600 mg BID, with exposures at 600 mg BID providing near complete 24/7 inhibition of ERK-dependent substrate (RSK-1) phosphorylation in an ex vivo whole blood assay. Furthermore, tolerability to BVD-523 was manageable when administered up to its MTD and RP2D, determined to be 600 mg BID.


BVD-523 was generally well tolerated, with manageable and reversible toxicity. The most common AEs were rash (usually acneiform), fatigue, and gastrointestinal side effects, including nausea, vomiting, and diarrhea. The safety profile of BVD-523 is consistent with its selective inhibition of the MAPK pathway; the AE profile shows considerable overlap with MEK inhibitor experience. However, toxicities associated with any targeted therapy may include dependence on both the specific mechanism and the degree of target inhibition as well as any off-target effects (Zelboraf [package insert] and Hauschild et al. 2012). Ongoing and future investigations will extend both the efficacy and safety profile demonstrated in this dose-escalation study, and will guide how the unique profile of the ERK inhibitor BVD-523 might be used as a single agent or in combination with other agents.


Durable responses by RAF and MEK inhibitors are often limited by intrinsic and eventual acquired resistance, with a common feature often involving reactivation of the ERK pathway (Poulikakos et al. 2011, Corcoran et al. 2010, Nazarian et al. 2010, Shi et al. 2014, Johannessen et al. 2010, Wagle et al. 2011, Wagle et al. 2014, Ahronian et al. 2015 and Paraiso et al. 2010). Thus, ERK inhibition with BVD-523 alone or in combination with other MAPK signaling pathway inhibitors may have the potential to delay the development of resistance to existing therapies and to benefit a broader patient population. That ERK inhibitors, including BVD-523, retain their potency in BRAF- and MEK-resistant cell lines provide preclinical evidence for the use of ERK inhibitors in patients with acquired resistance to standard of care (BRAF/MEK combination therapy) See, e.g., Examples 9-16. Importantly, in this study, a patient whose cancer had progressed after experiencing stable disease when treated initially with a BRAF inhibitor (vemurafenib) and subsequently with a combination of BRAF and MEK inhibitors (dabrafenib/trametinib) had a partial response when receiving single-agent BVD-523. This patient has remained on-study for a total of 708 days, as of the cutoff date of the study reported herein. Based in part on the antitumor effects observed in this patient, the FDA has designated as a Fast Track development program the investigation of BVD-523 for the treatment of patients with unresectable or metastatic BRAFv6° ° mutation-positive melanoma that is refractory to or has progressed following treatment with a BRAF and/or MEK inhibitor(s). Precise definition of exactly how BVD-523 might best support patient care (eg, as a single agent or in various combinations) requires additional clinical studies.


In summary, the present examples present data from an initial data from the dose escalation portion of a phase I study evaluating BVD-523, a novel first-in-class ERK inhibitor, as a treatment for patients with advanced cancers. Continuous, twice-daily oral treatment with BVD-523 resulted in antitumor effects in several patients, including patients either naïve to or having progressed on available MAPK pathway-targeted therapies. BVD-523 was generally well tolerated in this advanced cancer patient population and toxicities were manageable; the MTD and RP2D were 600 mg BID. BVD-523 exposures increased linearly up to the RP2D and robust pharmacodynamics effects were evident at this dose level. An expansion of this phase I clinical study is currently underway to confirm and extend the observations made in the dose-escalation phase. Specifically, patients are being enrolled into molecularly classified expansion cohorts (e.g., NRAS, BRAF, MEK or ERK alterations) across various tumor histologies. Furthermore, expansion cohorts are evaluating the use of BVD-523 in patients with cancer who are either naïve to available MAPK pathway therapies or those whose disease has progressed on such treatments.


DOCUMENTS



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All documents cited in this application are hereby incorporated by reference as if recited in full herein.


Although illustrative embodiments of the present invention have been described herein, it should be understood that the invention is not limited to those described, and that various other changes or modifications may be made by one skilled in the art without departing from the scope or spirit of the invention.

Claims
  • 1. A method for treating or ameliorating the effects of a cancer in a subject, which cancer is refractory or resistant to non-ERK MAPK pathway inhibitor therapy, the method comprising administering to the subject an effective amount of BVD-523 or a pharmaceutically acceptable salt thereof.
  • 2. The method according to claim 1, wherein the non-ERK MAPK pathway inhibitor therapy is selected from the group consisting of a RAS inhibitor, a RAF inhibitor, a MEK inhibitor, and combinations thereof.
  • 3. The method according to claim 1, wherein the non-ERK MAPK pathway inhibitor therapy is selected from the group consisting of a BRAF inhibitor, a MEK inhibitor, and combinations thereof.
  • 4. The method according to claim 1, wherein substantially all phosphorylation of RSK is inhibited after administration of BVD-523 or a pharmaceutically acceptable salt thereof.
  • 5. The method according to claim 1, wherein the subject is a mammal.
  • 6. The method according to claim 5, wherein the mammal is selected from the group consisting of humans, primates, farm animals, and domestic animals.
  • 7. The method according to claim 5, wherein the mammal is a human.
  • 8. The method according to claim 1, wherein the cancer has MAPK activity.
  • 9. The method according to claim 8, wherein the cancer is a solid tumor cancer or a hematologic cancer.
  • 10. The method according to claim 8, wherein the cancer is selected from the group consisting of a cancer of the large intestine, breast cancer, pancreatic cancer, skin cancer, and endometrial cancers.
  • 11. The method according to claim 8, wherein the cancer is melanoma.
  • 12. The method according to claim 1 further comprising administering to the subject at least one additional therapeutic agent selected from the group consisting of an antibody or fragment thereof, a cytotoxic agent, a toxin, a radionuclide, an immunomodulator, a photoactive therapeutic agent, a radiosensitizing agent, a hormone, an anti-angiogenesis agent, and combinations thereof.
  • 13. The method according to claim 12, wherein the additional therapeutic agent is an inhibitor of the PI3K/Akt pathway.
  • 14. The method according to claim 13, wherein the inhibitor of the PI3K/Akt pathway is selected from the group consisting of A-674563 (CAS #552325-73-2), AGL 2263, AMG-319 (Amgen, Thousand Oaks, Calif.), AS-041164 (5-benzo[1,3]dioxol-5-ylmethylene-thiazolidine-2,4-dione), AS-604850 (5-(2,2-Difluoro-benzo[1,3]dioxol-5-ylmethylene)-thiazolidine-2,4-dione), AS-605240 (5-quinoxilin-6-methylene-1,3-thiazolidine-2,4-dione), AT7867 (CAS #857531-00-1), benzimidazole series, Genentech (Roche Holdings Inc., South San Francisco, Calif.), BML-257 (CAS #32387-96-5), CAL-120 (Gilead Sciences, Foster City, Calif.), CAL-129 (Gilead Sciences), CAL-130 (Gilead Sciences), CAL-253 (Gilead Sciences), CAL-263 (Gilead Sciences), CAS #612847-09-3, CAS #681281-88-9, CAS #75747-14-7, CAS #925681-41-0, CAS #98510-80-6, CCT128930 (CAS #885499-61-6), CH5132799 (CAS #1007207-67-1), CHR-4432 (Chroma Therapeutics, Ltd., Abingdon, UK), FPA 124 (CAS #902779-59-3), GS-1101 (CAL-101) (Gilead Sciences), GSK 690693 (CAS #937174-76-0), H-89 (CAS #127243-85-0), Honokiol, IC87114 (Gilead Science), IPI-145 (Intellikine Inc.), KAR-4139 (Karus Therapeutics, Chilworth, UK), KAR-4141 (Karus Therapeutics), KIN-1 (Karus Therapeutics), KT 5720 (CAS #108068-98-0), Miltefosine, MK-2206 dihydrochloride (CAS #1032350-13-2), ML-9 (CAS #105637-50-1), Naltrindole Hydrochloride, OXY-111A (NormOxys Inc., Brighton, Mass.), perifosine, PHT-427 (CAS #1191951-57-1), PI3 kinase delta inhibitor, Merck KGaA (Merck & Co., Whitehouse Station, N.J.), PI3 kinase delta inhibitors, Genentech (Roche Holdings Inc.), PI3 kinase delta inhibitors, Incozen (Incozen Therapeutics, Pvt. Ltd., Hydrabad, India), PI3 kinase delta inhibitors-2, Incozen (Incozen Therapeutics), PI3 kinase inhibitor, Roche-4 (Roche Holdings Inc.), PI3 kinase inhibitors, Roche (Roche Holdings Inc.), PI3 kinase inhibitors, Roche-5 (Roche Holdings Inc.), PI3-alpha/delta inhibitors, Pathway Therapeutics (Pathway Therapeutics Ltd., South San Francisco, Calif.), PI3-delta inhibitors, Cellzome (Cellzome AG, Heidelberg, Germany), PI3-delta inhibitors, Intellikine (Intellikine Inc., La Jolla, Calif.), PI3-delta inhibitors, Pathway Therapeutics-1 (Pathway Therapeutics Ltd.), PI3-delta inhibitors, Pathway Therapeutics-2 (Pathway Therapeutics Ltd.), PI3-delta/gamma inhibitors, Cellzome (Cellzome AG), PI3-delta/gamma inhibitors, Cellzome (Cellzome AG), PI3-delta/gamma inhibitors, Intellikine (Intellikine Inc.), PI3-delta/gamma inhibitors, Intellikine (Intellikine Inc.), PI3-delta/gamma inhibitors, Pathway Therapeutics (Pathway Therapeutics Ltd.), PI3-delta/gamma inhibitors, Pathway Therapeutics (Pathway Therapeutics Ltd.), PI3-gamma inhibitor Evotec (Evotec), PI3-gamma inhibitor, Cellzome (Cellzome AG), PI3-gamma inhibitors, Pathway Therapeutics (Pathway Therapeutics Ltd.), PI3K delta/gamma inhibitors, Intellikine-1 (Intellikine Inc.), PI3K delta/gamma inhibitors, Intellikine-1 (Intellikine Inc.), pictilisib (Roche Holdings Inc.), PIK-90 (CAS #677338-12-4), SC-103980 (Pfizer, New York, N.Y.), SF-1126 (Semafore Pharmaceuticals, Indianapolis, Ind.), SH-5, SH-6, Tetrahydro Curcumin, TG100-115 (Targegen Inc., San Diego, Calif.), Triciribine, X-339 (Xcovery, West Palm Beach, Fla.), XL-499 (Evotech, Hamburg, Germany), pharmaceutically acceptable salts thereof, and combinations thereof.
  • 15. A method for treating or ameliorating the effects of a cancer in a subject comprising: (a) identifying a subject with cancer that has become refractory or resistant to BRAF inhibitor therapy, MEK inhibitor therapy, or BRAF and MEK inhibitor therapy; and(b) administering to the subject with said refractory or resistant cancer an effective amount of an ERK inhibitor, which is BVD-523 or a pharmaceutically acceptable salt thereof.
  • 16. The method according to claim 15, wherein the subject is a mammal.
  • 17. The method according to claim 16, wherein the mammal is selected from the group consisting of humans, primates, farm animals, and domestic animals.
  • 18. The method according to claim 16, wherein the mammal is a human.
  • 19. The method according to claim 15, wherein the cancer has MAPK activity.
  • 20. The method according to claim 19, wherein the cancer is a solid tumor cancer or a hematologic cancer.
  • 21. The method according to claim 19, wherein the cancer is selected from the group consisting of a cancer of the large intestine, breast cancer, pancreatic cancer, skin cancer, and endometrial cancers.
  • 22. The method according to claim 19, wherein the cancer is melanoma.
  • 23. The method according to claim 15, wherein identifying a subject with cancer that is refractory or resistant to BRAF and/or MEK inhibitor therapy comprises: (a) obtaining a biological sample from the subject; and(b) screening the sample to determine whether the subject has become resistant to an inhibitor therapy selected from the group consisting of BRAF inhibitor therapy, MEK inhibitor therapy, and combinations thereof.
  • 24. The method according to claim 23, wherein the screening for a cancer that is refractory or resistant to BRAF inhibitor therapy comprises identifying (i) a switch between RAF isoforms, (ii) upregulation of RTK or NRAS signaling, (iii) reactivation of mitogen activated protein kinase (MAPK) signaling, (iv) the presence of a MEK activating mutation, and combinations thereof.
  • 25. The method according to claim 23, wherein the screening for a cancer that is refractory or resistant to MEK inhibitor therapy comprises identifying (i) amplification of mutant BRAF, (ii) STAT3 upregulation, (iii) mutations in the allosteric pocket of MEK that directly block binding of inhibitors to MEK or lead to constitutive MEK activity, and combinations thereof.
  • 26. The method according to claim 15 further comprising administering at least one additional therapeutic agent selected from the group consisting of an antibody or fragment thereof, a cytotoxic agent, a toxin, a radionuclide, an immunomodulator, a photoactive therapeutic agent, a radiosensitizing agent, a hormone, an anti-angiogenesis agent, and combinations thereof.
  • 27. The method according to claim 26, wherein the additional therapeutic agent is an inhibitor of the PI3K/Akt pathway.
  • 28. The method according to claim 27, wherein the inhibitor of the PI3K/Akt pathway is selected from the group consisting of A-674563 (CAS #552325-73-2), AGL 2263, AMG-319 (Amgen, Thousand Oaks, Calif.), AS-041164 (5-benzo[1,3]dioxol-5-ylmethylene-thiazolidine-2,4-dione), AS-604850 (5-(2,2-Difluoro-benzo[1,3]dioxol-5-ylmethylene)-thiazolidine-2,4-dione), AS-605240 (5-quinoxilin-6-methylene-1,3-thiazolidine-2,4-dione), AT7867 (CAS #857531-00-1), benzimidazole series, Genentech (Roche Holdings Inc., South San Francisco, Calif.), BML-257 (CAS #32387-96-5), CAL-120 (Gilead Sciences, Foster City, Calif.), CAL-129 (Gilead Sciences), CAL-130 (Gilead Sciences), CAL-253 (Gilead Sciences), CAL-263 (Gilead Sciences), CAS #612847-09-3, CAS #681281-88-9, CAS #75747-14-7, CAS #925681-41-0, CAS #98510-80-6, CCT128930 (CAS #885499-61-6), CH5132799 (CAS #1007207-67-1), CHR-4432 (Chroma Therapeutics, Ltd., Abingdon, UK), FPA 124 (CAS #902779-59-3), GS-1101 (CAL-101) (Gilead Sciences), GSK 690693 (CAS #937174-76-0), H-89 (CAS #127243-85-0), Honokiol, IC87114 (Gilead Science), IPI-145 (Intellikine Inc.), KAR-4139 (Karus Therapeutics, Chilworth, UK), KAR-4141 (Karus Therapeutics), KIN-1 (Karus Therapeutics), KT 5720 (CAS #108068-98-0), Miltefosine, MK-2206 dihydrochloride (CAS #1032350-13-2), ML-9 (CAS #105637-50-1), Naltrindole Hydrochloride, OXY-111A (NormOxys Inc., Brighton, Mass.), perifosine, PHT-427 (CAS #1191951-57-1), PI3 kinase delta inhibitor, Merck KGaA (Merck & Co., Whitehouse Station, N.J.), PI3 kinase delta inhibitors, Genentech (Roche Holdings Inc.), PI3 kinase delta inhibitors, Incozen (Incozen Therapeutics, Pvt. Ltd., Hydrabad, India), PI3 kinase delta inhibitors-2, Incozen (Incozen Therapeutics), PI3 kinase inhibitor, Roche-4 (Roche Holdings Inc.), PI3 kinase inhibitors, Roche (Roche Holdings Inc.), PI3 kinase inhibitors, Roche-5 (Roche Holdings Inc.), PI3-alpha/delta inhibitors, Pathway Therapeutics (Pathway Therapeutics Ltd., South San Francisco, Calif.), PI3-delta inhibitors, Cellzome (Cellzome AG, Heidelberg, Germany), PI3-delta inhibitors, Intellikine (Intellikine Inc., La Jolla, Calif.), PI3-delta inhibitors, Pathway Therapeutics-1 (Pathway Therapeutics Ltd.), PI3-delta inhibitors, Pathway Therapeutics-2 (Pathway Therapeutics Ltd.), PI3-delta/gamma inhibitors, Cellzome (Cellzome AG), PI3-delta/gamma inhibitors, Cellzome (Cellzome AG), PI3-delta/gamma inhibitors, Intellikine (Intellikine Inc.), PI3-delta/gamma inhibitors, Intellikine (Intellikine Inc.), PI3-delta/gamma inhibitors, Pathway Therapeutics (Pathway Therapeutics Ltd.), PI3-delta/gamma inhibitors, Pathway Therapeutics (Pathway Therapeutics Ltd.), PI3-gamma inhibitor Evotec (Evotec), PI3-gamma inhibitor, Cellzome (Cellzome AG), PI3-gamma inhibitors, Pathway Therapeutics (Pathway Therapeutics Ltd.), PI3K delta/gamma inhibitors, Intellikine-1 (Intellikine Inc.), PI3K delta/gamma inhibitors, Intellikine-1 (Intellikine Inc.), pictilisib (Roche Holdings Inc.), PIK-90 (CAS #677338-12-4), SC-103980 (Pfizer, New York, N.Y.), SF-1126 (Semafore Pharmaceuticals, Indianapolis, Ind.), SH-5, SH-6, Tetrahydro Curcumin, TG100-115 (Targegen Inc., San Diego, Calif.), Triciribine, X-339 (Xcovery, West Palm Beach, Fla.), XL-499 (Evotech, Hamburg, Germany), pharmaceutically acceptable salts thereof, and combinations thereof.
  • 29. A method for treating or ameliorating the effects of cancer in a subject, which cancer is refractory or resistant to BRAF inhibitor therapy, MEK inhibitor therapy, or both, the method comprising administering to the subject an effective amount of BVD-523 or a pharmaceutically acceptable salt thereof.
  • 30. The method according to claim 29, wherein the subject is a mammal.
  • 31. The method according to claim 30, wherein the mammal is selected from the group consisting of humans, primates, farm animals, and domestic animals.
  • 32. The method according to claim 30, wherein the mammal is a human.
  • 33. The method according to claim 29, wherein the cancer has MAPK activity.
  • 34. The method according to claim 33, wherein the cancer is a solid tumor cancer or a hematologic cancer.
  • 35. The method according to claim 33, wherein the cancer is selected from the group consisting of a cancer of the large intestine, breast cancer, pancreatic cancer, skin cancer, and endometrial cancers.
  • 36. The method according to claim 33, wherein the cancer is melanoma.
  • 37. The method according to claim 29, wherein the cancer is determined to be refractory or resistant to BRAF inhibitor therapy based on one or more of the following: (i) a switch between RAF isoforms, (ii) upregulation of RTK or NRAS signaling, (iii) reactivation of mitogen activated protein kinase (MAPK) signaling, (iv) the presence of a MEK activating mutation.
  • 38. The method according to claim 29, wherein the cancer is determined to be refractory or resistant to MEK inhibitor therapy based on one or more of the following: (i) amplification of mutant BRAF, (ii) STAT3 upregulation, (iii) mutations in the allosteric pocket of MEK that directly block binding of inhibitors to MEK or lead to constitutive MEK activity.
  • 39. The method according to claim 29 further comprising administering to the subject at least one additional therapeutic agent selected from the group consisting of an antibody or fragment thereof, a cytotoxic agent, a toxin, a radionuclide, an immunomodulator, a photoactive therapeutic agent, a radiosensitizing agent, a hormone, an anti-angiogenesis agent, and combinations thereof.
  • 40. The method according to claim 39, wherein the additional therapeutic agent is an inhibitor of the PI3K/Akt pathway.
  • 41. The method according to claim 40, wherein the inhibitor of the PI3K/Akt pathway is selected from the group consisting of A-674563 (CAS #552325-73-2), AGL 2263, AMG-319 (Amgen, Thousand Oaks, Calif.), AS-041164 (5-benzo[1,3]dioxol-5-ylmethylene-thiazolidine-2,4-dione), AS-604850 (5-(2,2-Difluoro-benzo[1,3]dioxol-5-ylmethylene)-thiazolidine-2,4-dione), AS-605240 (5-quinoxilin-6-methylene-1,3-thiazolidine-2,4-dione), AT7867 (CAS #857531-00-1), benzimidazole series, Genentech (Roche Holdings Inc., South San Francisco, Calif.), BML-257 (CAS #32387-96-5), CAL-120 (Gilead Sciences, Foster City, Calif.), CAL-129 (Gilead Sciences), CAL-130 (Gilead Sciences), CAL-253 (Gilead Sciences), CAL-263 (Gilead Sciences), CAS #612847-09-3, CAS #681281-88-9, CAS #75747-14-7, CAS #925681-41-0, CAS #98510-80-6, CCT128930 (CAS #885499-61-6), CH5132799 (CAS #1007207-67-1), CHR-4432 (Chroma Therapeutics, Ltd., Abingdon, UK), FPA 124 (CAS #902779-59-3), GS-1101 (CAL-101) (Gilead Sciences), GSK 690693 (CAS #937174-76-0), H-89 (CAS #127243-85-0), Honokiol, IC87114 (Gilead Science), IPI-145 (Intellikine Inc.), KAR-4139 (Karus Therapeutics, Chilworth, UK), KAR-4141 (Karus Therapeutics), KIN-1 (Karus Therapeutics), KT 5720 (CAS #108068-98-0), Miltefosine, MK-2206 dihydrochloride (CAS #1032350-13-2), ML-9 (CAS #105637-50-1), Naltrindole Hydrochloride, OXY-111A (NormOxys Inc., Brighton, Mass.), perifosine, PHT-427 (CAS #1191951-57-1), PI3 kinase delta inhibitor, Merck KGaA (Merck & Co., Whitehouse Station, N.J.), PI3 kinase delta inhibitors, Genentech (Roche Holdings Inc.), PI3 kinase delta inhibitors, Incozen (Incozen Therapeutics, Pvt. Ltd., Hydrabad, India), PI3 kinase delta inhibitors-2, Incozen (Incozen Therapeutics), PI3 kinase inhibitor, Roche-4 (Roche Holdings Inc.), PI3 kinase inhibitors, Roche (Roche Holdings Inc.), PI3 kinase inhibitors, Roche-5 (Roche Holdings Inc.), PI3-alpha/delta inhibitors, Pathway Therapeutics (Pathway Therapeutics Ltd., South San Francisco, Calif.), PI3-delta inhibitors, Cellzome (Cellzome AG, Heidelberg, Germany), PI3-delta inhibitors, Intellikine (Intellikine Inc., La Jolla, Calif.), PI3-delta inhibitors, Pathway Therapeutics-1 (Pathway Therapeutics Ltd.), PI3-delta inhibitors, Pathway Therapeutics-2 (Pathway Therapeutics Ltd.), PI3-delta/gamma inhibitors, Cellzome (Cellzome AG), PI3-delta/gamma inhibitors, Cellzome (Cellzome AG), PI3-delta/gamma inhibitors, Intellikine (Intellikine Inc.), PI3-delta/gamma inhibitors, Intellikine (Intellikine Inc.), PI3-delta/gamma inhibitors, Pathway Therapeutics (Pathway Therapeutics Ltd.), PI3-delta/gamma inhibitors, Pathway Therapeutics (Pathway Therapeutics Ltd.), PI3-gamma inhibitor Evotec (Evotec), PI3-gamma inhibitor, Cellzome (Cellzome AG), PI3-gamma inhibitors, Pathway Therapeutics (Pathway Therapeutics Ltd.), PI3K delta/gamma inhibitors, Intellikine-1 (Intellikine Inc.), PI3K delta/gamma inhibitors, Intellikine-1 (Intellikine Inc.), pictilisib (Roche Holdings Inc.), PIK-90 (CAS #677338-12-4), SC-103980 (Pfizer, New York, N.Y.), SF-1126 (Semafore Pharmaceuticals, Indianapolis, Ind.), SH-5, SH-6, Tetrahydro Curcumin, TG100-115 (Targegen Inc., San Diego, Calif.), Triciribine, X-339 (Xcovery, West Palm Beach, Fla.), XL-499 (Evotech, Hamburg, Germany), pharmaceutically acceptable salts thereof, and combinations thereof.
  • 42. A method for identifying a subject having cancer who would benefit from therapy with an ERK inhibitor, the method comprising: (a) obtaining a biological sample from the subject; and(b) screening the sample to determine whether the subject has one or more of the following markers: (i) a switch between RAF isoforms,(ii) upregulation of receptor tyrosine kinase (RTK) or NRAS signaling,(iii) reactivation of mitogen activated protein kinase (MAPK) signaling,(iv) the presence of a MEK activating mutation,(v) amplification of mutant BRAF,(vi) STAT3 upregulation,(vii) mutations in the allosteric pocket of MEK that directly block binding of inhibitors to MEK or lead to constitutive MEK activity,
  • 43. The method according to claim 42, wherein the subject is a mammal.
  • 44. The method according to claim 43, wherein the mammal is selected from the group consisting of humans, primates, farm animals, and domestic animals.
  • 45. The method according to claim 43, wherein the mammal is a human.
  • 46. The method according to claim 42, wherein the cancer has MAPK activity.
  • 47. The method according to claim 46, wherein the cancer is a solid tumor cancer or a hematologic cancer.
  • 48. The method according to claim 46, wherein the cancer is selected from the group consisting of a cancer of the large intestine, breast cancer, pancreatic cancer, skin cancer, and endometrial cancers.
  • 49. The method according to claim 46, wherein the cancer is melanoma.
  • 50. The method according to claim 42 further comprising administering BVD-523 or a pharmaceutically acceptable salt thereof to a subject having one or more of the markers.
  • 51. The method according to claim 50 further comprising administering to the subject having one or more of the markers at least one additional therapeutic agent selected from the group consisting of an antibody or fragment thereof, a cytotoxic agent, a toxin, a radionuclide, an immunomodulator, a photoactive therapeutic agent, a radiosensitizing agent, a hormone, an anti-angiogenesis agent, and combinations thereof.
  • 52. The method according to claim 51, wherein the additional therapeutic agent is an inhibitor of the PI3K/Akt pathway.
  • 53. The method according to claim 52, wherein the inhibitor of the PI3K/Akt pathway is selected from the group consisting of A-674563 (CAS #552325-73-2), AGL 2263, AMG-319 (Amgen, Thousand Oaks, Calif.), AS-041164 (5-benzo[1,3]dioxol-5-ylmethylene-thiazolidine-2,4-dione), AS-604850 (5-(2,2-Difluoro-benzo[1,3]dioxol-5-ylmethylene)-thiazolidine-2,4-dione), AS-605240 (5-quinoxilin-6-methylene-1,3-thiazolidine-2,4-dione), AT7867 (CAS #857531-00-1), benzimidazole series, Genentech (Roche Holdings Inc., South San Francisco, Calif.), BML-257 (CAS #32387-96-5), CAL-120 (Gilead Sciences, Foster City, Calif.), CAL-129 (Gilead Sciences), CAL-130 (Gilead Sciences), CAL-253 (Gilead Sciences), CAL-263 (Gilead Sciences), CAS #612847-09-3, CAS #681281-88-9, CAS #75747-14-7, CAS #925681-41-0, CAS #98510-80-6, CCT128930 (CAS #885499-61-6), CH5132799 (CAS #1007207-67-1), CHR-4432 (Chroma Therapeutics, Ltd., Abingdon, UK), FPA 124 (CAS #902779-59-3), GS-1101 (CAL-101) (Gilead Sciences), GSK 690693 (CAS #937174-76-0), H-89 (CAS #127243-85-0), Honokiol, IC87114 (Gilead Science), IPI-145 (Intellikine Inc.), KAR-4139 (Karus Therapeutics, Chilworth, UK), KAR-4141 (Karus Therapeutics), KIN-1 (Karus Therapeutics), KT 5720 (CAS #108068-98-0), Miltefosine, MK-2206 dihydrochloride (CAS #1032350-13-2), ML-9 (CAS #105637-50-1), Naltrindole Hydrochloride, OXY-111A (NormOxys Inc., Brighton, Mass.), perifosine, PHT-427 (CAS #1191951-57-1), PI3 kinase delta inhibitor, Merck KGaA (Merck & Co., Whitehouse Station, N.J.), PI3 kinase delta inhibitors, Genentech (Roche Holdings Inc.), PI3 kinase delta inhibitors, Incozen (Incozen Therapeutics, Pvt. Ltd., Hydrabad, India), PI3 kinase delta inhibitors-2, Incozen (Incozen Therapeutics), PI3 kinase inhibitor, Roche-4 (Roche Holdings Inc.), PI3 kinase inhibitors, Roche (Roche Holdings Inc.), PI3 kinase inhibitors, Roche-5 (Roche Holdings Inc.), PI3-alpha/delta inhibitors, Pathway Therapeutics (Pathway Therapeutics Ltd., South San Francisco, Calif.), PI3-delta inhibitors, Cellzome (Cellzome AG, Heidelberg, Germany), PI3-delta inhibitors, Intellikine (Intellikine Inc., La Jolla, Calif.), PI3-delta inhibitors, Pathway Therapeutics-1 (Pathway Therapeutics Ltd.), PI3-delta inhibitors, Pathway Therapeutics-2 (Pathway Therapeutics Ltd.), PI3-delta/gamma inhibitors, Cellzome (Cellzome AG), PI3-delta/gamma inhibitors, Cellzome (Cellzome AG), PI3-delta/gamma inhibitors, Intellikine (Intellikine Inc.), PI3-delta/gamma inhibitors, Intellikine (Intellikine Inc.), PI3-delta/gamma inhibitors, Pathway Therapeutics (Pathway Therapeutics Ltd.), PI3-delta/gamma inhibitors, Pathway Therapeutics (Pathway Therapeutics Ltd.), PI3-gamma inhibitor Evotec (Evotec), PI3-gamma inhibitor, Cellzome (Cellzome AG), PI3-gamma inhibitors, Pathway Therapeutics (Pathway Therapeutics Ltd.), PI3K delta/gamma inhibitors, Intellikine-1 (Intellikine Inc.), PI3K delta/gamma inhibitors, Intellikine-1 (Intellikine Inc.), pictilisib (Roche Holdings Inc.), PIK-90 (CAS #677338-12-4), SC-103980 (Pfizer, New York, N.Y.), SF-1126 (Semafore Pharmaceuticals, Indianapolis, Ind.), SH-5, SH-6, Tetrahydro Curcumin, TG100-115 (Targegen Inc., San Diego, Calif.), Triciribine, X-339 (Xcovery, West Palm Beach, Fla.), XL-499 (Evotech, Hamburg, Germany), pharmaceutically acceptable salts thereof, and combinations thereof.
  • 54. A pharmaceutical composition for treating or ameliorating the effects of a cancer in a subject, which cancer is refractory or resistant to non-ERK MAPK pathway therapy, the composition comprising a pharmaceutically acceptable carrier or diluent and an effective amount of BVD-523 or a pharmaceutically acceptable salt thereof.
  • 55. The pharmaceutical composition according to claim 54, wherein the non-ERK MAPK pathway inhibitor therapy is selected from the group consisting of a RAS inhibitor, a RAF inhibitor, a MEK inhibitor, and combinations thereof.
  • 56. The pharmaceutical composition according to claim 54, wherein the non-ERK MAPK pathway inhibitor therapy is selected from the group consisting of a BRAF inhibitor, a MEK inhibitor, and combinations thereof.
  • 57. The pharmaceutical composition according to claim 54, wherein the subject is a mammal.
  • 58. The pharmaceutical composition according to claim 57, wherein the mammal is selected from the group consisting of humans, primates, farm animals, and domestic animals.
  • 59. The pharmaceutical composition according to claim 57, wherein the mammal is a human.
  • 60. The pharmaceutical composition according to claim 54, wherein the cancer has MAPK activity.
  • 61. The pharmaceutical composition according to claim 60, wherein the cancer is a solid tumor cancer or a hematologic cancer.
  • 62. The pharmaceutical composition according to claim 60, wherein the cancer is selected from the group consisting of a cancer of the large intestine, breast cancer, pancreatic cancer, skin cancer, and endometrial cancers.
  • 63. The pharmaceutical composition according to claim 60, wherein the cancer is melanoma.
  • 64. The pharmaceutical composition according to claim 54 further comprising at least one additional therapeutic agent selected from the group consisting of an antibody or fragment thereof, a cytotoxic agent, a toxin, a radionuclide, an immunomodulator, a photoactive therapeutic agent, a radiosensitizing agent, a hormone, an anti-angiogenesis agent, and combinations thereof.
  • 65. The pharmaceutical composition according to claim 64, wherein the additional therapeutic agent is an inhibitor of the PI3K/Akt pathway.
  • 66. The pharmaceutical composition according to claim 65, wherein the inhibitor of the PI3K/Akt pathway is selected from the group consisting of A-674563 (CAS #552325-73-2), AGL 2263, AMG-319 (Amgen, Thousand Oaks, Calif.), AS-041164 (5-benzo[1,3]dioxol-5-ylmethylene-thiazolidine-2,4-dione), AS-604850 (5-(2,2-Difluoro-benzo[1,3]dioxol-5-ylmethylene)-thiazolidine-2,4-dione), AS-605240 (5-quinoxilin-6-methylene-1,3-thiazolidine-2,4-dione), AT7867 (CAS #857531-00-1), benzimidazole series, Genentech (Roche Holdings Inc., South San Francisco, Calif.), BML-257 (CAS #32387-96-5), CAL-120 (Gilead Sciences, Foster City, Calif.), CAL-129 (Gilead Sciences), CAL-130 (Gilead Sciences), CAL-253 (Gilead Sciences), CAL-263 (Gilead Sciences), CAS #612847-09-3, CAS #681281-88-9, CAS #75747-14-7, CAS #925681-41-0, CAS #98510-80-6, CCT128930 (CAS #885499-61-6), CH5132799 (CAS #1007207-67-1), CHR-4432 (Chroma Therapeutics, Ltd., Abingdon, UK), FPA 124 (CAS #902779-59-3), GS-1101 (CAL-101) (Gilead Sciences), GSK 690693 (CAS #937174-76-0), H-89 (CAS #127243-85-0), Honokiol, IC87114 (Gilead Science), IPI-145 (Intellikine Inc.), KAR-4139 (Karus Therapeutics, Chilworth, UK), KAR-4141 (Karus Therapeutics), KIN-1 (Karus Therapeutics), KT 5720 (CAS #108068-98-0), Miltefosine, MK-2206 dihydrochloride (CAS #1032350-13-2), ML-9 (CAS #105637-50-1), Naltrindole Hydrochloride, OXY-111A (NormOxys Inc., Brighton, Mass.), perifosine, PHT-427 (CAS #1191951-57-1), PI3 kinase delta inhibitor, Merck KGaA (Merck & Co., Whitehouse Station, N.J.), PI3 kinase delta inhibitors, Genentech (Roche Holdings Inc.), PI3 kinase delta inhibitors, Incozen (Incozen Therapeutics, Pvt. Ltd., Hydrabad, India), PI3 kinase delta inhibitors-2, Incozen (Incozen Therapeutics), PI3 kinase inhibitor, Roche-4 (Roche Holdings Inc.), PI3 kinase inhibitors, Roche (Roche Holdings Inc.), PI3 kinase inhibitors, Roche-5 (Roche Holdings Inc.), PI3-alpha/delta inhibitors, Pathway Therapeutics (Pathway Therapeutics Ltd., South San Francisco, Calif.), PI3-delta inhibitors, Cellzome (Cellzome AG, Heidelberg, Germany), PI3-delta inhibitors, Intellikine (Intellikine Inc., La Jolla, Calif.), PI3-delta inhibitors, Pathway Therapeutics-1 (Pathway Therapeutics Ltd.), PI3-delta inhibitors, Pathway Therapeutics-2 (Pathway Therapeutics Ltd.), PI3-delta/gamma inhibitors, Cellzome (Cellzome AG), PI3-delta/gamma inhibitors, Cellzome (Cellzome AG), PI3-delta/gamma inhibitors, Intellikine (Intellikine Inc.), PI3-delta/gamma inhibitors, Intellikine (Intellikine Inc.), PI3-delta/gamma inhibitors, Pathway Therapeutics (Pathway Therapeutics Ltd.), PI3-delta/gamma inhibitors, Pathway Therapeutics (Pathway Therapeutics Ltd.), PI3-gamma inhibitor Evotec (Evotec), PI3-gamma inhibitor, Cellzome (Cellzome AG), PI3-gamma inhibitors, Pathway Therapeutics (Pathway Therapeutics Ltd.), PI3K delta/gamma inhibitors, Intellikine-1 (Intellikine Inc.), PI3K delta/gamma inhibitors, Intellikine-1 (Intellikine Inc.), pictilisib (Roche Holdings Inc.), PIK-90 (CAS #677338-12-4), SC-103980 (Pfizer, New York, N.Y.), SF-1126 (Semafore Pharmaceuticals, Indianapolis, Ind.), SH-5, SH-6, Tetrahydro Curcumin, TG100-115 (Targegen Inc., San Diego, Calif.), Triciribine, X-339 (Xcovery, West Palm Beach, Fla.), XL-499 (Evotech, Hamburg, Germany), pharmaceutically acceptable salts thereof, and combinations thereof.
  • 67. A kit for treating or ameliorating the effects of a cancer in a subject, which cancer is refractory or resistant to non-ERK MAPK pathway therapy, the kit comprising a pharmaceutical composition according to any one of claim 54, 55, or 56 packaged together with instructions for its use.
  • 68. A method for inhibiting phosphorylation of RSK in a cancer cell that is refractory or resistant to a non-ERK MAPK pathway inhibitor, the method comprising contacting the cancer cell with an effective amount of BVD-523 or a pharmaceutically acceptable salt thereof for a period of time sufficient for phosphorylation of RSK in the cancer cell to be inhibited.
  • 69. The method according to claim 68, wherein greater than 50% of RSK phosphorylation is inhibited.
  • 70. The method according to claim 68, wherein greater than 75% of RSK phosphorylation is inhibited.
  • 71. The method according to claim 68, wherein greater than 90% of RSK phosphorylation is inhibited.
  • 72. The method according to claim 68, wherein greater than 95% of RSK phosphorylation is inhibited.
  • 73. The method according to claim 68, wherein greater than 99% of RSK phosphorylation is inhibited.
  • 74. The method according to claim 68, wherein 100% of RSK phosphorylation is inhibited.
  • 75. The method according to claim 68, which is carried out in vitro, ex vivo, or in vivo.
  • 76. The method according to claim 68, wherein the contacting step comprises administering BVD-523 or a pharmaceutically acceptable salt to a subject from whom the cancer cell was obtained.
  • 77. The method according to claim 68, wherein the non-ERK MAPK pathway inhibitor is selected from the group consisting of a RAS inhibitor, a RAF inhibitor, a MEK inhibitor, and combinations thereof.
  • 78. The method according to claim 68, wherein the non-ERK MAPK pathway inhibitor is selected from the group consisting of BRAF inhibitors, MEK inhibitors, and combinations thereof.
  • 79. The method according to claim 68, wherein the cancer is from a mammal.
  • 80. The method according to claim 79, wherein the mammal is selected from the group consisting of humans, primates, farm animals, and domestic animals.
  • 81. The method according to claim 79, wherein the mammal is a human.
  • 82. The method according to claim 68, wherein the cancer has MAPK activity.
  • 83. The method according to claim 82, wherein the cancer is a solid tumor cancer or a hematologic cancer.
  • 84. The method according to claim 82, wherein the cancer is selected from the group consisting of a cancer of the large intestine, breast cancer, pancreatic cancer, skin cancer, and endometrial cancers.
  • 85. The method according to claim 82, wherein the cancer is melanoma.
  • 86. A method of treating a subject having an unresectable or metastatic BRAF600 mutation-positive melanoma comprising administering to the subject 600 mg BID of BVD-523 or a pharmaceutically acceptable salt thereof.
  • 87. The method according to claim 86, wherein the mutation is a BRAFV600E mutation.
  • 88. The method according to claim 86, wherein the mammal is selected from the group consisting of humans, primates, farm animals, and domestic animals.
  • 89. The method according to claim 86, wherein the mammal is a human.
  • 90. The method according to claim 86, wherein the melanoma has MAPK activity.
  • 91. A composition for treating a subject having an unresectable or metastatic BRAF600 mutation-positive melanoma, the composition comprising 600 mg of BVD-523 or a pharmaceutically acceptable salt thereof and optionally a pharmaceutically acceptable carrier, adjuvant, or vehicle.
  • 92. The composition according to claim 91, wherein the subject is a mammal.
  • 93. The composition according to claim 91, wherein the mammal is selected from the group consisting of humans, primates, farm animals, and domestic animals.
  • 94. The composition according to claim 91, wherein the mammal is a human.
  • 95. The composition according to claim 91, wherein the melanoma has MAPK activity.
  • 96. The composition of claim 91 wherein the mutation is a BRAFV600E mutation.
CROSS REFERENCE TO RELATED APPLICATIONS

This application claims benefit to and is a continuation application of U.S. patent application Ser. No. 15/161,137, filed May 20, 2016. The '137 application is a continuation in part of PCT international application no. PCT/US2014/071749, filed Dec. 19, 2014, which claims benefit of U.S. Patent Application Ser. No. 61/919,551, filed on Dec. 20, 2013 which, applications are incorporated by reference herein in their entireties.

Provisional Applications (1)
Number Date Country
61919551 Dec 2013 US
Continuations (1)
Number Date Country
Parent 15161137 May 2016 US
Child 15797593 US
Continuation in Parts (1)
Number Date Country
Parent PCT/US14/71749 Dec 2014 US
Child 15161137 US