TREATMENT OF HER2 NEGATIVE, MAMMAPRINT HIGH RISK 2 BREAST CANCER

Abstract
The invention relates to a PARP inhibitor, an immune checkpoint inhibitor, or a combination thereof, for use as a medicament. The invention further relates to a kit of parts and to a pharmaceutical composition comprising a PARP inhibitor and an immune checkpoint inhibitor, preferably for use in a method of treating a breast cancer.
Description
FIELD

The invention relates to methods for treatment of cancer, especially a breast cancer, using a combination of medicaments, thereby targeting multiple pathways.


1 INTRODUCTION

Cancer is a leading cause of death worldwide, accounting for an estimated total of 9.6 million deaths in 2018. The most common cancers are lung cancer, breast cancer and colorectal cancers, while lung cancer, colorectal cancer and stomach cancer are the most common causes of cancer death (The Global Cancer Observatory, 2019. Factsheet on cancers/39).


Early diagnosis and treatment of cancer may provide significant improvement to the lives of cancer patients. Some of the most common cancer types, such as breast cancer and colorectal cancer, have high cure rates when detected and treated at an early stage, before cancer cells have metastasized.


Although early stage breast cancer has a relative good prognosis, still approximately 30% of patients would develop a distant metastasis and die from the disease if not treated with adjuvant therapy after surgery (Rosen et al., 1989. J Clin Oncol 7: 355-366). It is common to treat hormone receptor positive breast cancer with adjuvant endocrine therapy. There are clinical factors such as size and grade and genomic signatures used by clinicians to identify patients who need adjuvant chemotherapy.


Breast cancer cells can be classified into molecular subtypes basal, luminal and HER2 positive, by simple hierarchical clustering of breast tumors according to their gene expression patterns (Perou et al., 2000. Nature 406: 747-7520. In general, these subtypes represent the Estrogen Receptor (ER), Progesterone Receptor (PR) and Human Epidermal growth factor Receptor 2 (HER2) status of the tumor: Basal-like breast cancers correlate best with triple negative (ER-negative, PR-negative, and HER2-negative tumors) breast cancers (Rakha et al., 2009. Clin Cancer Res 15: 2302-2310; Carey et al., 2007. Clin Cancer Res 13: 2329-2334). Luminal-like cancers are ER-positive (Nielsen et al., 2004. Clin Cancer Res 10: 5367-5374) and HER2 positive cancers have a high expression of the HER2 gene (Kauraniemi and Kallioniemi. 2006. Endocr Relat Cancer 13: 39-49). While this classification system has been developed without consideration of patient survival rates, the different molecular subtypes of breast cancer have different prognoses: luminal-like tumors have a more favorable outcome and basal-like and HER2 subgroups appear to be more sensitive to chemotherapy (Sorlie et al., 2001. Proc Natl Acad Sci USA 98: 10869-10874; Rouzier et al., 2005. Clin Cancer Res 11: 5678-5685; Liedtke et al., 2008. J Clin Oncol 26: 1275-1281; Krijgsman et al., 2012. Breast Cancer Res Treat 133: 37-47).


Patients with positive HER2 receptor usually receive anti HER2 therapy. Despite these treatment options there are still too many breast cancer patients that develop distant metastasis. New therapeutics are developed to target specific pathway defects in early stage breast cancer. Two classes that are tested are PARP inhibitors and PD-1/PDL-1 inhibitors. Some have shown promising effects in metastatic breast cancer. These classes are primarily tested in hormone receptor (ER and PR) negative breast cancer, such as BRCA-mutated breast cancers. These cancers often have a DNA repair deficient phenotype which might make them sensitive for PARP inhibitions. The genomic instability caused by DNA repair deficiency also causes these tumors to accumulate more mutations and therefor are easier to recognize by the patient's immune system which makes these tumors potentially sensitive for PD-1/PDL-1 inhibitors (Robson et al., 2017. N Engl J Med 377: 523-533; Schmid et al., 2018. N Engl J Med 379: 2108-2121).


Hormone receptor positive breast cancer does not often represent these phenotypes and PARP and PD-1 have shown little success in HR+ breast cancer.


The I-SPY 2 TRIAL (NCT01042379), sponsored by Quantum Leap Healthcare Collaborative, is a standing Phase 2 randomized, controlled, multi-center trial for women with newly diagnosed, locally advanced breast cancer (Stage II/III), and is designed to screen promising new treatments and identify which therapies are most effective in specific patient subgroups based on molecular characteristics (biomarker signatures). The trial is an adaptive study design assessing the combination of biologically targeted investigational drugs with standard chemotherapy in the neoadjuvant setting, compared to standard chemotherapy alone. The primary endpoint is to determine whether the combination of certain therapies increases the probability of pathological complete response (pCR) in the breast and the lymph nodes at the time of surgery (Barker et al., 2009. Clin Pharmacol Ther 86: 97-100).


Results from this program have shown that a combination of a PARP inhibitor (veliparib) and a platinum-based antineoplastic drug (carboplatin) increased pCR rates in the triple-negative subgroup to 51%, versus 26% in the control group (Rugo et al., 2016. New Engl J Med 375: 23-34). Additional data showed that a 7-gene DNA repair deficiency expression signature (PARPi-7; Daemen et al., 2012. Breast Cancer Res Treat 135: 505-517), BRCAlness and MammaPrint® signatures may help refine predictions of VC response, thereby improving patient care (Van't Veer et al., 2015. J Clin Oncol 33: 521-521; Wolf et al., 2017. NPJ Breast Cancer 3: 31). In addition, the immune check point inhibitor pembrolizumab, when added to standard neoadjuvant chemotherapy, more than doubled the estimated pCR rates for both ERBB2-negative (HER2-negative) breast cancer (Nanda et al., 2020. JAMA Oncology: doi: 10.1001/jamaonco1.2019.6650).


However, there is a need for new treatment options, including new combinations of agents, that could provide therapeutic benefit for specific cancer patients, especially Her2 negative breast cancer patients. Additionally, there is a need to identify cancer patients that might benefit from new treatment options, including new combinations of agents.


2 BRIEF DESCRIPTION OF THE INVENTION

The invention provides a poly [ADP-ribose] polymerase (PARP) inhibitor, for use in a method of treating a human epidermal growth factor receptor 2 (HER2) negative, MammaPrint high risk 2 (MP2) breast cancer. Said PARP inhibitor for use preferably is selected from olaparib, rucaparib, pamiparib, niraparib and talazoparib.


The invention further provides an immune check point inhibitor, for use in a method of treating a human epidermal growth factor receptor 2 (HER2) negative, MammaPrint high risk 2 (MP2) breast cancer. Said immune check point inhibitor for use preferably is selected from tremelimumab, pembrolizumab, nivolumab, pidilizumab, cemiplimab, atezolizumab, avelumab and durvalumab.


The invention further provides combination of a poly [ADP-ribose] polymerase (PARP) inhibitor and an immune check point inhibitor for use in a method of treating a human epidermal growth factor receptor 2 (HER2) negative, MammaPrint high2 breast cancer. Said PARP inhibitor is selected from olaparib, rucaparib, pamiparib, niraparib and talazoparib. Said immune check point inhibitor preferably is selected from tremelimumab, pembrolizumab, nivolumab, pidilizumab, cemiplimab, atezolizumab, avelumab and durvalumab. Said PARP inhibitor is administrated simultaneously with, separately from, or sequentially to the immune check point inhibitor.


A method of treating according to the invention preferably further comprises administration of a taxane, preferably selected from paclitaxel, docetaxel, and cabazitaxel.


Said HER2 negative breast cancer preferably is Estrogen Receptor (ER) positive, preferably Hormone Receptor (HR) positive.


A HER2 status is preferably determined by TargetPrint or by BluePrint.


The invention further provides a method of treating a HER2 negative, MammaPrint high risk 2 (MP2) breast cancer in a subject, comprising the simultaneous, separate or sequential administering to the subject of a PARP inhibitor and an immune check point inhibitor. Said method preferably further comprises administering a taxane, preferably selected from paclitaxel, docetaxel, and cabazitaxel.


The invention further provides a pharmaceutical composition comprising a PARP inhibitor and an immune check point inhibitor, for use in a method of treating a human epidermal growth factor receptor 2 (HER2) negative, MammaPrint high risk 2 (MP2) breast cancer. Said method of treating preferably further comprises administering a taxane, preferably selected from paclitaxel, docetaxel, and cabazitaxel.





3 BRIEF DESCRIPTION OF THE FIGURES


FIG. 1. pCR probability by signature. Combined Duravalumab+Olaparib graduated in all 3 eligible biomarker signatures HR+/HER2− (A), HR−/HER2− (B), and combined HER2− (C) by demonstrating increased pCR.



FIG. 2. Combined Durvalumab/Olaparib treatment in addition to standard chemotherapy shifted residual cancer burden (RCB) to lower values across all RCB categories in all MammaPrint high risk samples in HER2 negative subtypes.



FIG. 3. MammaPrint high risk group 2 (MP2) drives the benefit in the ER+/HER2− subtype (HR+HER2−). MP2 is defined as >median MammaPrint score (Wolf et al., 2017. NPJ Breast Cancer 3: 1-9). HR+/HER2−/MP1: n=132 (D:24; Ctr: 108). HR+/HER2−/MP2: n=77 (D:28; Ctr: 49).





4 DETAILED DESCRIPTION OF THE INVENTION
4.1 Definitions

As is used herein, the term “Poly [ADP-ribose] polymerase (PARP) inhibitor”, an refers to an inhibitor of a poly [ADP-ribose] polymerase. PARP is a key factor in the initiation of a repair response to single-strand DNA breaks (SSB). A preferred PARP inhibitor is selective for PARP1 and/or PARP2, when compared to other polymerases, meaning that the inhibitor is at least two times more potent, preferably at least five times more potent, in inhibiting PARP, when compared to other polymerases.


As is used herein, the term “immune checkpoint inhibitor”, refers to an inhibitor of an immune checkpoint molecule, a regulator of the immune system. Immune checkpoint molecules include CTLA4, PD-1 and PD-L1, A2AR, CD276, B7-H4, CD272 and Herpesvirus Entry Mediator (HVEM), LAG3, NOX2, TIM-3, V-domain Ig suppressor of T cell activation (VISTA), and CD328. A preferred immune checkpoint inhibitor is selective for at least one of CTLA4, PD-1 and PD-L1, A2AR, CD276, B7-H4, CD272 and Herpesvirus Entry Mediator (HVEM), LAG3, NOX2, TIM-3, V-domain Ig suppressor of T cell activation (VISTA), and CD328, when compared to other surface molecules, meaning that the inhibitor is at least two times more potent, preferably at least five times more potent, in inhibiting at least one of CTLA4, PD-1 and PD-L1, A2AR, CD276, B7-H4, CD272 and Herpesvirus Entry Mediator (HVEM), LAG3, NOX2, TIM-3, V-domain Ig suppressor of T cell activation (VISTA), and CD328, when compared to other molecules.


As is used herein, the term “combination” refers to the administration of effective amounts of a PARP inhibitor and an immune checkpoint inhibitor to a patient in need thereof. Said PARP inhibitor and immune checkpoint inhibitor may be provided in one pharmaceutical preparation, or as two distinct pharmaceutical preparations.


As is used herein, the term “taxane”, also termed taxoid, refers to a dipertene that disrupts microtubule function by stabilizing GDP-bound tubulin in a microtubule. This inhibits depolymerization of the microtubule, which is required during cell division. A preferred taxane is selected from paclitaxel, docetaxel, and cabazitaxel.


As is used herein, the term “carcinoma” refers to a cancer that has an epithelial origin,


As is used herein, the term “HER2-negative breast cancer, or HER2−” refers to a breast cancer that does not detectably express human epidermal growth factor receptor 2 (HER2). Similarly, the term “HER2-positive breast cancer or HER2+” refers to a breast cancer that does detectably express HER2. HER2 is also termed v-erb-b2 avian erythroblastic leukemia viral oncogene homolog 2 (ERBB2) or NEU.


As is used herein, the term “ER-negative breast cancer or ER-” refers to a breast cancer that does not detectably express estrogen receptor (ER). Similarly, the term “ER-positive breast cancer or ER+” refers to a breast cancer that does detectably express estrogen receptor (ER).


As is used herein, the term “PR-negative breast cancer or PR−” refers to a breast cancer that does not detectably express progesterone receptor (PR). Similarly, the term “PR-positive breast cancer or PR+” refers to a breast cancer that does detectably express PR.


As is used herein, the term “HR-negative breast cancer or HR−” refers to a breast cancer that does not detectably express estrogen receptor (ER) and progesterone receptor (PR). Similarly, the term “HR-positive breast cancer or HR+” refers to a breast cancer that does detectably express ER and PR.


As is used herein, the term “TargetPrint®” refers to a quantitative mRNA expression level testing assay for ER, PR, and HER2 status of breast cancer (Wesseling et al., 2016. Virchows Archiv 469: 297-304).


As is used herein, the term “BluePrint®” (U.S. Pat. Nos. 9,175,351; 10,072,301; Krijgsman et al., 2012. Br Can Res Treatm 133: 37-47) refers to a molecular subtyping test, analyzing the activity of 80 genes to enable stratification of a breast cancer into one of the three following subtypes: Luminal-type, HER2− type and Basal-type.


The term “RNA expression product”, as used herein, refers to an expression product of a gene and includes gene expression products such as RNA, including mRNA. Also included in this term are complementary nucleic acids derived from a RNA gene expression product, such as cDNA and cRNA. Preferably, the gene expression products in a sample from a cancer patient are RNA expression products, including mRNA, cDNA and cRNA.


4.2 Methods of Diagnosis

A gene signature test (MammaPrint®, MP), also termed “Amsterdam gene signature test” determines the expression of gene expression products of signature genes and stratifies early-stage breast cancer patients in Low- and High risk for developing distant metastases within 5 years after diagnosis. Extensive validation studies (Drukker et al., 2013. Int J Cancer 133: 929-936; Bueno-de-Mesquita et al., 2007. Lancet Oncol 8: 1079-1087; van de Vijver et al., 2002. New Engl J Med 34: 1999-2009) and the recent MINDACT clinical trial (Cardoso et al., 2016. N Engl J Med 375: 717-729) have demonstrated the clinical utility of MammaPrint (level 1A clinical evidence), making it a unique example of a clinical diagnostic test that helps guide physicians in adjuvant treatment decisions for breast cancer patients.


A sample from a cancer patient comprising gene expression products from a cancer cell of said patient can be obtained in numerous ways, as is known to a person skilled in the art. In a method of the invention, a sample can be obtained directly from the individual, for example by taking a biopsy from the cancer.


Said sample may also be obtained from a breast cancer after removal of the cancer, or at least part of the cancer, from a patient. Said sample is preferably obtained from a cancer within two hours after removal, more preferably within 1 hour after removal of the cancer or part of the cancer.


Before a sample comprising gene expression products is obtained from a cancer, said cancer may be cooled and stored at about 0-8° C. The sample can be freshly prepared from cells or a tissue sample at the moment of harvesting, or they can be prepared from samples that are stored at −70° C. until processed for sample preparation.


Alternatively, tissues or biopsies can be stored under conditions that preserve the quality of protein or RNA. Examples of these preservative conditions are fixation using e.g. formaline and paraffin embedding, RNase inhibitors such as RNAsin (Pharmingen) or RNasecure (Ambion), aquous solutions such as RNAlater (Assuragen; U.S. Ser. No. 06/204,375), Hepes-Glutamic acid buffer mediated Organic solvent Protection Effect (HOPE; DE10021390), and RCL2 (Alphelys; WO04083369), and non-aquous solutions such as Universal Molecular Fixative (Sakura Finetek USA Inc.; U.S. Pat. No. 7,138,226). Alternatively, a sample from a cancer patient may be fixated in formalin, for example as formalin-fixed paraffin-embedded (FFPE) tissue. Preferably, the sample is an FFPE sample.


Methods to determine gene expression levels of genes are known to a skilled person and include, but are not limited to, Northern blotting, quantitative PCR, microarray analysis and RNA sequencing.


It is preferred that said gene expression levels are determined simultaneously. Simultaneous analyses can be performed, for example, by multiplex qPCR, RNA sequencing procedures, and microarray analysis. Microarray analysis allow the simultaneous determination of gene expression levels of expression of a large number of genes, such as more than 50 genes, more than 100 genes, more than 1000 genes, more than 10.000 genes, or even whole-genome based, allowing the use of a large set of gene expression data for normalization of the determined gene expression levels in a method of the invention.


Microarray-based analysis involves the use of selected biomolecules that are immobilized on a solid surface, an array. A microarray usually comprises nucleic acid molecules, termed probes, which are able to hybridize to gene expression products. The probes are exposed to labeled sample nucleic acid, hybridized, and the abundance of gene expression products in the sample that are complementary to a probe is determined. The probes on a microarray may comprise DNA sequences, RNA sequences, or copolymer sequences of DNA and RNA. The probes may also comprise DNA and/or RNA analogues such as, for example, nucleotide analogues or peptide nucleic acid molecules (PNA), or combinations thereof. The sequences of the probes may be full or partial fragments of genomic DNA. The sequences may also be in vitro synthesized nucleotide sequences, such as synthetic oligonucleotide sequences.


In the context of the invention, a probe is to be specific for a gene expression product of a gene as listed in Table 1. A probe is specific when it comprises a continuous stretch of nucleotides that are completely complementary to a nucleotide sequence of a gene expression product, or a cDNA product thereof. A probe can also be specific when it comprises a continuous stretch of nucleotides that are partially complementary to a nucleotide sequence of a gene expression product of said gene, or a cDNA product thereof. Partially means that a maximum of 5% from the nucleotides in a continuous stretch of at least 20 nucleotides differs from the corresponding nucleotide sequence of a gene expression product of said gene. The term complementary is known in the art and refers to a sequence that is related by base-pairing rules to the sequence that is to be detected. It is preferred that the sequence of the probe is carefully designed to minimize nonspecific hybridization to said probe.


It is preferred that the probe is, or mimics, a single stranded nucleic acid molecule. The length of said complementary continuous stretch of nucleotides can vary between 15 bases and several kilo bases, and is preferably between 20 bases and 1 kilobase, more preferred between 40 and 100 bases, and most preferred about 60 nucleotides. A most preferred probe comprises about 60 nucleotides that are identical to a nucleotide sequence of a gene expression product of a gene, or a cDNA product thereof. In a method of the invention, probes comprising probe sequences as indicated in Tables 1-2 can be employed.


To determine the RNA expression level by micro-arraying, gene expression products in the sample are preferably labeled, either directly or indirectly, and contacted with probes on the array under conditions that favor duplex formation between a probe and a complementary molecule in the labeled gene expression product sample. The amount of label that remains associated with a probe after washing of the microarray can be determined and is used as a measure for the gene expression level of a nucleic acid molecule that is complementary to said probe.


The determined RNA expression level can be normalized for differences in the total amounts of nucleic acid expression products between two separate samples by comparing the level of expression of one or more genes that are known not to differ in expression level between samples. If samples for use in a method of the invention are FFPE samples, it is possible to use an FFPE normalization template.


A preferred method for determining RNA expression is by microarray analysis.


Another preferred method for determining RNA expression levels is by sequencing, preferably next-generation sequencing (NGS), of RNA samples, with or without prior amplification of the RNA expression products.


High throughput sequencing techniques for sequencing RNA have been developed. NGS platforms, including Illumina® sequencing; Roche 454 Pyrosequencing®, ion torrent and ion proton sequencing, and ABI SOLID® sequencing, allow sequencing of fragments of DNA in parallel. Bioinformatics analyses are used to piece together these fragments by mapping the individual reads. Each base is sequenced multiple times, providing high depth to deliver accurate data and an insight into unexpected DNA variation. NGS can be used to sequence a complete exome including all or small numbers of individual genes.


Pyrosequencing detects the release of inorganic pyrophosphate (PPi) as particular nucleotides are incorporated into the nascent strand (Ronaghi et al., 1996. Analytical Biochemistry 242: 84-9; Ronaghi, 2001. Genome Res 11: 3-11; Ronaghi et al., 1998. Science 281: 363; U.S. Pat. Nos. 6,210,891; 6,258,568; and 6,274,320, which are all incorporated herein by reference. In pyrosequencing, released PPi can be detected by being immediately conversion to adenosine triphosphate (ATP) by ATP sulfurylase, and the level of ATP generated is detected via luciferase-produced photons.


NGS also includes so called third generation sequencing platforms, for example nanopore sequencing on an Oxford Nanopore Technologies platform, and single-molecule real-time sequencing (SMRT sequencing) on a PacBio platform, with or without prior amplification of the RNA expression products.


Further high throughput sequencing techniques include, for example, sequencing-by-synthesis. Sequencing-by-synthesis or cycle sequencing can be accomplished by stepwise addition of nucleotides containing, for example, a cleavable or photobleachable dye label as described, for example, in U.S. Pat. Nos. 7,427,673; 7,414,116; WO 04/018497; WO 91/06678; WO 07/123744; and U.S. Pat. No. 7,057,026, all of which are incorporated herein by reference.


Sequencing techniques also include sequencing by ligation techniques. Such techniques use DNA ligase to incorporate oligonucleotides and identify the incorporation of such oligonucleotides and are inter alia described in U.S. Pat. Nos. 6,969,488; 6,172,218; and 6,306,597. Other sequencing techniques include, for example, fluorescent in situ sequencing (FISSEQ), and Massively Parallel Signature Sequencing (MPSS).


Sequencing techniques can be performed by directly sequencing RNA, or by sequencing a RNA-to-cDNA converted nucleic acid library. Most protocols for sequencing RNA samples employ a sample preparation method that converts the RNA in the sample into a double-stranded cDNA format prior to sequencing. Conversion of RNA into cDNA and/or cRNA using a reverse-transcriptase enzyme such as M-MLV reverse-transcriptase from Moloney murine leukemia virus, or AMV reverse-transcriptase from avian myeloblastosis virus, is known to a person skilled in the art.


In the methods of diagnosing, the reference sample preferably is a sample, such as an RNA sample, isolated from a tissue of a healthy individual, or isolated from a cancerous growth of a cancer patient, preferably a breast cancer patient. The reference sample may comprise an RNA sample from a relevant cell line or mixture of cell lines. The RNA from a cell line or cell line mixture can be produced in-house or obtained from a commercial source such as, for example, Stratagene Human Reference RNA. Another preferred reference sample comprises RNA isolated and pooled from normal adjacent tissue from cancer patients.


Even more preferably, said reference sample is a pooled RNA sample that is isolated from tissue comprising cancer cells from multiple individuals suffering from cancer, preferably breast cancer, more preferably stage 2 and/or 3 breast cancer, and which cancer cells either have an activated or not activated PD1. It is preferred that said sample is pooled from more than 10 individuals, more preferred more than 20 individuals, more preferred more than 30 individuals, more preferred more than 40 individuals, most preferred more than 50 individuals.


Typing of a sample can be performed in various ways. In one method, a coefficient is determined that is a measure of a similarity or dissimilarity of a sample with a previously established reference RNA expression level of the target genes that is specific to a certain cell type, tissue, disease state or any other interesting biological or clinical interesting samples group. Such a reference RNA expression level can be referred to as a profile template. Typing of a sample can be based on its (dis)similarity to a single profile template or based on multiple profile templates. In the invention, the profile templates are representative of samples that have low risk outcome, high risk outcome, or both low risk and high risk outcome. Examples of suitable profile templates are RNA expression level templates of a single breast cancer sample from a patient with low or high risk outcome, preferably a group of at least 10, 30, 40, 50, 100, 200 or 300 breast cancer patients with low and/or high risk outcome.


A number of different coefficients can be used for determining a correlation between the gene expression level in a sample from a cancer patient and a profile template. Preferred methods are parametric methods which assume a normal distribution of the data. One of these methods is the Pearson product-moment correlation coefficient, which is obtained by dividing the covariance of the two variables by the product of their standard deviations. Preferred methods comprise cosine-angle, un-centered correlation and, more preferred, cosine correlation (Fan et al., Conf Proc IEEE Eng Med Biol Soc. 5:4810-3 (2005)).


Said correlation with a profile template is used to produce an overall similarity score for the set of genes that are used. A similarity score is a measure of the average correlation of gene expression levels of a set of genes in a sample from a cancer patient and a profile template. Said similarity score can, but does not need to be, a numerical value between +1, indicative of a high correlation between the gene expression level of the set of genes in a sample of said cancer patient and said profile template, and −1, which is indicative of an inverse correlation. A threshold can be used to differentiate between samples having low risk outcome, and samples having high risk outcome. Said threshold is an arbitrary value that allows for discrimination between samples from patients with low risk outcome, and samples of patients with high risk outcome. If a similarity threshold value is employed, it is preferably set at a value at which an acceptable number of patients with high risk outcome would score as false negatives, and an acceptable number of patients with low risk outcome would score as false positives. A similarity score is preferably displayed or outputted to a user interface device, a computer readable storage medium, or a local or remote computer system.


A method of typing of the invention may further comprise determining a stage of the cancer. The staging of a cancer is generally based on the size of the cancer and on whether the cancer has spread to lymph nodes or other areas of the body.


A preferred staging system is the TNM (for tumors/nodes/metastases) system, from the American Joint Committee on Cancer (AJCC). The TNM system assigns a number based on three categories. “T” denotes the size of the tumor, “N” the degree of lymphatic node involvement, and “M” the degree of metastasis.


The methods of assigning a PARP inhibitor, an immune checkpoint inhibitor, and a combination of a PARP inhibitor and an immune checkpoint inhibitor to a HER2 negative breast cancer patient further comprise determining a level of RNA expression for a plurality of genes consisting of at least 5 of the genes for which markers are listed in Table 1 in a sample comprising RNA expression products from a cancer cell of the patient.


MammaPrint® (MP) is a 70 genes-based assay, as described in WO2002103320, which is hereby incorporated by reference. MP reports a risk of cancer recurrence within a period of 5 years without adjuvant chemotherapy. MP is intended to classify an individual suffering from breast cancer as having a good prognosis having no distant metastases within five years of initial diagnosis (low risk outcome), or as having a poor prognosis having distant metastases within five years of initial diagnosis (high risk outcome).


MP was shown to successfully predict metastasis free survival and overall survival in retrospective and prospective studies (van de Vijver et al., 2002. N Engl J Med 347: 1999-2009; van't Veer et al., 2002. Nature 415: 530-536; Drukker et al., 2013. Int J Cancer 133: 929-936; Cardoso et al., 2016. N Engl. J Med 375: 717-729).


The MammaPrint high risk group can be further divided into 2 groups by taking the median MammaPrint index of the high risk samples. MammaPrint high risk group 2 (MP2) is defined as having a MammaPrint index higher than the median value, while MP1 is defined as having a MammaPrint index lower than the median value


It was now surprisingly found that MP may also be used to predict a response to a PARP inhibitor, an immune checkpoint inhibitor, and to a combination of a PARP inhibitor and an immune checkpoint inhibitor of a HER2 negative breast cancer patient. More specifically, an individual suffering from a HER2 negative breast cancer and typed as having MammaPrint high risk group 2 (MP2), thus with a poor prognosis, is likely to provide a pathological complete response (pCR) upon treatment with mediated therapy.


A method of the invention for predicting a response to a PARP inhibitor, an immune checkpoint inhibitor, or to the combination thereof, of HER2-negative breast cancer involves the use of at least 5 genes indicated in Table 1, more preferred at least 6 genes, more preferred at least 7 genes, more preferred at least 8 genes, more preferred at least 9 genes, more preferred at least 10 genes, more preferred at least 20 genes, more preferred at least 30 genes, more preferred at least 40 genes, more preferred at least 50 genes, more preferred at least 60 genes, more preferred at least 70 genes indicated in Table 1, such as all 231 genes listed in Table 1.


The set of genes selected from the genes listed in Table 1 preferably contains at least the first 5, 10, 15, 20, 25, 30, 35, 40, 45, 50, 55, 60, 65, 70, 75, 80, 85, 90, 95 or 100 rank-ordered genes of Table 1. The genes in Table 1 were rank-ordered according to the agreement of the outcome of typing of a sample with the individual genes to the outcome of the typing of a sample with the set of genes listed in Table 2. A preferred set of genes comprises both positively correlated genes as well as negatively correlated genes, as indicated in Table 1, whereby said correlation is to a good prognosis signature.


A further preferred set of genes according to the invention comprises at least five genes of Table 1 that are rank-ordered 1-5 and/or 227-231. A further preferred set of genes according to the invention comprises at least ten genes of Table 1 that are rank-ordered 1-10 and/or 222-231, more preferred at least twenty genes listed in Table 1 that are rank-ordered 1-20 and/or 212-231; more preferred at least fifty genes listed in Table 1 that are rank-ordered 1-50 and/or 182-231; more preferred at least hundred genes listed in Table 1 that are rank-ordered 1-100 and/or 132-231; more preferred all 231 genes listed in Table 1.


A preferred set of genes for predicting a response to a PARP inhibitor, an immune checkpoint inhibitor, or to the combination thereof, of HER2-negative breast cancer involves the use of a subset of 70 genes, which are indicated in Table 2 and for which preferred probes are provided in Table 2.


A further preferred method of the invention for predicting a response to a PARP inhibitor, an immune checkpoint inhibitor, or to the combination thereof, of HER2-negative breast cancer involves the use of at least 5 genes indicated in Table 2, more preferred at least 6 genes, more preferred at least 7 genes, more preferred at least 8 genes, more preferred at least 9 genes, more preferred at least 10 genes, more preferred at least 20 genes, more preferred at least 30 genes, more preferred at least 40 genes, more preferred at least 50 genes, more preferred at least 60 genes, more preferred all 70 genes indicated in Table 2.


A further preferred set of genes according to the invention comprises at least five genes of Table 2 that are rank-ordered 1-5 and/or 66-70. A further preferred set of genes according to the invention comprises at least ten genes of Table 2 that are rank-ordered 1-10 and/or 61-70, more preferred at least twenty genes listed in Table 2 that are rank-ordered 1-20 and/or 51-70; more preferred at least fifty genes listed in Table 2 that are rank-ordered 1-50 and/or 21-70; more preferred all 70 genes listed in Table 2.


It is noted that some probes hybridize to the same genes indicated in Table 2, such as three probes which are now known to hybridize to expression products of the Diaphanous Related Formin 3 (DIAPH3; ENSG00000139734) gene. A reference to different genes listed in Table 2 includes reference to different probes hybridizing to the same gene listed in Table 2. Hence, the term “at least five genes of Table 2” provides reference to both 5 different genes listed in Table 2 as well as 5 different probes listed in Table 2.


A method of the invention for predicting a response to a PARP inhibitor, an immune checkpoint inhibitor, or to the combination thereof, of HER2-negative breast cancer is especially suited if the breast cancer is positive for Estrogen Receptor (ER), and/or Progesteron Receptor (PR), collectively termed Hormone Receptors (HR).


ER, PR and HER/HER2 status may be determined, for example, by ImmunoHistoChemistry (IHC), by TargetPrint (McShane et al., 2005. J Clin Oncol 23: 9067-72; Roepman et al., 2009. Clin Cancer Res 15: 7004-70115), and/or by BluePrint (U.S. Pat. Nos. 9,175,351; 10,072,301; Krijgsman et al., 2012. Br Can Res Treatm 133: 37-47), as is known to a person skilled in the art.


4.3 Methods of Treatment

The invention provides a PARP inhibitor for use as a medicament for the treatment of a HER2 negative, MammaPrint high risk 2, breast cancer patient.


Further provided is an immune checkpoint inhibitor for use as a medicament for the treatment of a HER2 negative, MammaPrint high risk 2, breast cancer patient.


Further provided is a PARP inhibitor for use as a medicament for the treatment of a HER2 negative, MammaPrint high risk 2, breast cancer patient, wherein said medicament further comprises an immune checkpoint inhibitor.


Further provided is an immune checkpoint inhibitor for use as a medicament for the treatment of a HER2 negative, MammaPrint high risk 2, breast cancer patient, wherein said medicament further comprises a PARP inhibitor.


Further provided is a combination of a PARP inhibitor and an immune checkpoint inhibitor, for use as a medicament for the treatment of a HER2 negative, MammaPrint high risk 2, breast cancer patient.


Further provided is a PARP inhibitor for use as a medicament for the treatment of a HER2 negative, MammaPrint high risk 2, breast cancer patient, wherein said medicament further comprises an immune checkpoint inhibitor.


Further provided is a combination of a PARP inhibitor and an immune checkpoint inhibitor, for use as a medicament for the treatment of a HER2 negative, MammaPrint high risk 2, breast cancer patient.


Further provided is a method of treating an individual suffering from a HER2 negative, MammaPrint high risk 2, breast cancer, comprising providing said individual with a PARP inhibitor and an immune checkpoint inhibitor.


Further provided is an use of a PARP inhibitor in the preparation of a medicament for treatment of a HER2 negative, MammaPrint high risk 2, breast cancer patient, wherein said treatment further comprises an immune checkpoint inhibitor.


Further provided is an use of an immune checkpoint inhibitor in the preparation of a medicament for treatment of a HER2 negative, MammaPrint high risk 2, breast cancer patient, wherein said treatment further comprises a PARP inhibitor.


Further provided is a combination of a PARP inhibitor and an immune checkpoint inhibitor, for use in the treatment of a HER2 negative, MammaPrint high risk 2, breast cancer patient.


The invention further provides the use of a PARP inhibitor in the preparation of a medicament for the treatment of a HER2 negative, MammaPrint high risk 2, breast cancer patient.


Further provided is the use of an immune checkpoint inhibitor in the preparation of a medicament for the treatment of a HER2 negative, MammaPrint high risk 2, breast cancer patient.


Further provided is the use of a PARP inhibitor in the preparation of a medicament for the treatment of a HER2 negative, MammaPrint high risk 2, breast cancer patient, wherein said medicament further comprises an immune checkpoint inhibitor.


Further provided is the use of an immune checkpoint inhibitor in the preparation of a medicament for the treatment of a HER2 negative, MammaPrint high risk 2, breast cancer patient, wherein said medicament further comprises a PARP inhibitor.


Further provided is the use of a combination of a PARP inhibitor and an immune checkpoint inhibitor, in the preparation of a medicament for the treatment of a HER2 negative, MammaPrint high risk 2, breast cancer patient.


Further provided is a method of treating an individual suffering from a HER2 negative, MammaPrint high risk 2, breast cancer, comprising providing said individual with a PARP inhibitor.


Further provided is a method of treating an individual suffering from a HER2 negative, MammaPrint high risk 2, breast cancer, comprising providing said individual with an immune checkpoint inhibitor.


Further provided is a method of treating an individual suffering from a HER2 negative breast cancer that has a high risk for recurrence, comprising providing said individual with a PARP inhibitor, an immune checkpoint inhibitor, or a combination of a PARP inhibitor and an immune checkpoint inhibitor, optionally in combination with a taxane. A person skilled in the art is able to determine a high risk for recurrence, for example by employing Oncotype DX (Genomic Health), EndoPredict (Myriad Genetics, Inc.), Breast Cancer Index (bioTheranostics) or Prosigna Breast Cancer Prognostic Gene Signature Assay (NanoString Technologies).


A PARP inhibitor preferably is selected from olaparib (3-aminobenzamide, 4-(3-(1-(cyclopropanecarbonyl)piperazine-4-carbonyl)-4-fluorobenzyl)phthalazin-1(2H)-one; AZD-2281; AstraZeneca), rucaparib (6-fluoro-2-[4-(methylaminomethyl)phenyl]-3,10-diazatricyclo[6.4.1.04,13]trideca-1,4,6,8(13)-tetraen-9-one; Clovis Oncology, Inc.); niraparib tosylate ((S)-2-(4-(piperidin-3-yl)phenyl)-2H-indazole-7-carboxamide hydrochloride; MK-4827; GSK); talazoparib (11S,12R)-7-fluoro-11-(4-fluorophenyl)-12-(2-methyl-1,2,4-triazol-3-yl)-2,3,10-triazatricyclo[7.3.1.05,13]trideca-1,5(13),6,8-tetraen-4-one; BMN-673; Pfizer); veliparib (2-[(2R)-2-methylpyrrolidin-2-yl]-1H-benzimidazole-4-carboxamide dihydrochloride benzimidazole carboxamide; ABT-888; Abbvie); pamiparib (2R)-14-fluoro-2-methyl-6,9,10,19-tetrazapentacyclo[14.2.1.02,6.08,18.012,17]nonadeca-1(18),8,12(17),13,15-pentaen-11-one; BGB-290; BeiGene); CEP-8983, and CEP 9722, a small-molecule prodrug of CEP-8983, a 4-methoxy-carbazole inhibitor (CheckPoint Therapeutics); E7016 (Eisai), PJ34 (2-(dimethylamino)-N-(6-oxo-5H-phenanthridin-2-yl)acetamide;hydrochloride) and 3-aminobenzamide.


A preferred PARP inhibitor is selected from the group consisting of olaparib, rucaparib, niraparib tosylate, talazoparib, and pamiparib.


Said PARP inhibitor preferably is administered orally, as a tablet or as a capsule. Said PARP inhibitor preferably is administered once or twice per day for a period of 1-24 weeks, for example once or twice daily for a 12 weeks period. The preferred dosage of selected PARP inhibitors is 100-500 mg twice daily, preferably 300-400 mg twice daily for olaparib; 200-1000 mg twice daily, preferably 400-600 mg twice daily for rucaparib; 50-500 mg twice daily, preferably 100-300 mg twice daily for niraparib tosylate; 0.2-2 mg twice daily, preferably 0.5-1 mg twice daily for talazoparib; 100-600 mg twice daily, preferably 200-400 mg twice daily for veliparib; and 300-100 mg twice daily, preferably 40-60 mg twice daily for pamiparib. A person skilled in the art will understand that the dosage in a combination according to the invention, may be at the low range of the indicated dosages, or even below the indicated dosages.


An immune checkpoint inhibitor is an inhibitor of CTLA4, PD-1 and PD-L1, A2AR, CD276, B7-H4, CD272 and Herpesvirus Entry Mediator (HVEM), LAG3, NOX2, TIM-3, V-domain Ig suppressor of T cell activation (VISTA), and CD328. Said inhibitor preferably is a PD1/PDL1 inhibitor and/or an inhibitor of CTLA-4. Suitable immune checkpoint inhibitors are CTLA-4 inhibitors such as antibodies, including ipilimumab (Bristol-Myers Squibb) and tremelimumab (MedImmune); PD1/PDL1 inhibitors such as antibodies, including pembrolizumab (Merck), nivolumab and MDX-1105 (Bristol-Myers Squibb), pidilizumab (Medivation/Pfizer), MEDI0680 (AMP-514; AstraZeneca), cemiplimab (Regeneron) and PDR001 (Novartis); fusion proteins such as a PD-L2 Fc fusion protein (AMP-224; GlaxoSmithKline); atezolizumab (Roche/Genentech), avelumab (Merck/Serono and Pfizer), durvalumab (AstraZeneca), BMS-936559 (Bristol-Myers Squibb); and small molecule inhibitors such as PD-1/PD-L1 Inhibitor 1 (WO2015034820; (2S)-1-[[2,6-dimethoxy-4-[(2-methyl-3-phenylphenyl)methoxy]phenyl]methyl]piperidine-2-carboxylic acid), BMS202 (PD-1/PD-L1 Inhibitor 2; WO2015034820; N-[2-[[[2-methoxy-6-[(2-methyl[1,1′-biphenyl]-3-yl)methoxy]-3-pyridinyl]methyl]amino]ethyl]-acetamide), PD-1/PD-L1 Inhibitor 3 (WO/2014/151634; (3S,6S,12S,15S,18S,21S,24S,27S,30R,39S,42S,47aS)-3-((1H-imidazol-5-yl)methyl)-12,18-bis((1H-indol-3-yl)methyl)-N,42-bis(2-amino-2-oxoethyl)-36-benzyl-21,24-dibutyl-27-(3-guanidinopropyl)-15-(hydroxymethyl)-6-isobutyl-8,20,23,38,39-pentamethyl-1,4,7,10,13,), and ladiratuzumab vedotin (Seattle Genetics).


Said immune checkpoint inhibitor preferably is administered intravenously, preferably by infusion. Said immune checkpoint inhibitor preferably is administered once every 2-4 weeks for a period of 1-24 weeks. The preferred dosage of selected immune checkpoint inhibitors is 2-4 mg/kg. preferably about 3 mg/kg every 2-4 weeks, or 240-480 mg every 2-4 weeks for ipilimumab; 100-400 mg, preferably about 200 mg every 2-4 weeks, preferably every 3 weeks for pembrolizumab; 100-500 mg, preferably 240-480 mg every 2-4 weeks, preferably every 2 weeks for nivolumab; 2-12 mg/kg. preferably 4-8 mg/kg every 2-4 weeks, preferably every 4 weeks for pidilizumab; 100-500 mg, preferably about 350 mg every 2-4 weeks, preferably every 3 weeks for cemiplimab; 600-1800 mg, preferably about 1200 mg every 2-4 weeks, preferably every 3 weeks for atezolizumab; 400-1200 mg, preferably about 800 mg, every 2-4 weeks, preferably every 2 weeks for avelumab; and 5-15 mg/kg, preferably about 10 mg/kg, or 1000-2000 mg, preferably about 1500 mg, every 2-4 weeks, preferably every 2 weeks for durvalumab. A person skilled in the art will understand that the dosage in a combination according to the invention, may be at the low range of the indicated dosages, or even below the indicated dosages.


In a combination according to the invention, a PARP inhibitor is administrated simultaneously with, separately from, or sequentially to the immune checkpoint inhibitor. When administered as two distinct pharmaceutical preparations, they may be administered on the same day or on different days to a patient in need thereof, and using a similar or dissimilar administration protocol, e.g. daily, twice daily, biweekly, orally and/or by infusion. For example, said PARP inhibitor may be administrated at a daily basis, while the immune checkpoint inhibitor may be administered at a weekly basis, for example every 2 weeks or every 4 weeks.


Said combination is preferably administered repeatedly according to a protocol that depends on the patient to be treated (age, weight, treatment history, etc.), which can be determined by a skilled physician. Said protocol may include daily or weekly administration for 1-30 days, such as 2 days, 10 days, 21 days, or 28 days, followed by period of 0-14 days, such as 7 days in which no inhibitor is administered. As an alternative, said daily or weekly administration may be followed by another therapy, for example a combination of doxorubicin (60 mg/m2) and cyclophosphamide (600 mg/m2) for 4 cycles every 3 weeks.


A combination comprising a PARP inhibitor and an immune checkpoint inhibitor according to the invention may further be combined with a taxane. Said taxane preferably is administered in the same time frame as the PARP inhibitor and the immune checkpoint inhibitor are administered, for example in a period of 1-30 days, such as 2 days, 10 days, 21 days, or 28 days.


Said taxane preferably is administered intravenously, preferably by infusion. Said taxane preferably is repeatedly administered, for example once every week, once every two weeks, or once every three weeks. For example, paclitaxel may be administered at a dosage of 75-200 mg/m2, such as about 80 mg/m2, every 1-4 weeks; docetaxel may be administered at a dosage of 40-100 mg/m2, such as about 60 mg/m2, every 1-4 weeks; and cabazitaxel may be administered at a dosage of 5-75 mg/m2, such as about 20 mg/m2, every 1-4 weeks.


4.4 Compositions

A combination of a PARP inhibitor and an immune checkpoint inhibitor according to the invention may be provided in one pharmaceutical preparation or, preferably, as two or more distinct pharmaceutical preparations. Said distinct pharmaceutical preparations may further comprise pharmaceutically acceptable excipients, as is known to a person skilled in the art.


Pharmaceutically acceptable excipients include diluents, binders or granulating ingredients, a carbohydrate such as starch, a starch derivative such as starch acetate and/or maltodextrin, a polyol such as xylitol, sorbitol and/or mannitol, lactose such as α-lactose monohydrate, anhydrous α-lactose, anhydrous β-lactose, spray-dried lactose, and/or agglomerated lactose, a sugar such as dextrose, maltose, dextrate and/or inulin, or combinations thereof, glidants (flow aids) and lubricants to ensure efficient tableting, and sweeteners or flavors to enhance taste.


The invention therefore provides a pharmaceutical composition, comprising a PARP inhibitor and an immune checkpoint inhibitor for use in a method of treating a patient suffering from a HER2 negative, MammaPrint high risk 2 (MP2) breast carcinoma. Said HER2 negative, MammaPrint high risk 2 (MP2) breast carcinoma preferably is Estrogen Receptor (ER) positive, including ER and Progesterone Receptor (PR) positive.


The invention further provides a kit of parts, comprising a PARP inhibitor and an immune checkpoint inhibitor, as a combined preparation for separate or sequential use in the treatment of a HER2 negative, MammaPrint high risk 2 (MP2) breast carcinoma in a subject. Said kit of parts may further comprise a pharmaceutical composition comprising a suitable taxane.


For the purpose of clarity and a concise description, features are described herein as part of the same or separate aspects and preferred embodiments thereof, however, it will be appreciated that the scope of the invention may include embodiments having combinations of all or some of the features described.


The invention will now be illustrated by the following examples, which are provided by way of illustration and not of limitation and it will be understood that many variations in the methods described and the amounts indicated can be made without departing from the spirit of the invention and the scope of the appended claims.









TABLE 1







Overview of MammaPrint probes and signature genes.













Probe sequence
Gene
Ensemble ID
REF SEQ ID
Corr















1
CTGAGTGGTCAGAGATCTGTAAAGCATGACT
ALDH4A1
ENSG00000159423
NM_170726
+



TTCAAGGATGGTTCTTAGGGGACTGTGTA









2
AGGACTTGAATGAGGAAACCAACACTTTGAG
FGF18
ENSG00000156427
NM_003862
+



AAACCAAAGTCCTTTTTCCCAAAGGTTCT









3
GCCATTAAGATTTGGATGGGAAGTTATGGGT
CAPZB
ENSG00000077549
NM_017765
+



AATGAGAATATAATGACATCTTGCAACAT









4
GATGGCCCAGCCTGTAAGATACTGTATATGC
BBC3
ENSG00000105327
NM_014417
+



GCTGCTGTAGATACCGGAATGAATTTTCT









5
GGCCTCACATTCTGCTCTGCTAAGTTTGGAG
EBF4
ENSG00000088881
XM_938882
+



AAAACAGAACAATAAACCAGATGCAGGTG









6
AAGTACTGGAATGTAATGGTTGAAATTCCTA
NA
NA
NT_022517
+



TTCAGTGATCTGGAAGAACTCTAATGTTC









7
CCAACGCACACCAGTCTTCTCAATCTGACTG
MYLIP
ENSG00000007944
NM_013262
+



TAATCTAATCTGTTGTGCTTTTGTTGGAC









8
GGTTTAAAGCTGAAGAGGTTGAAGCTAAAAG
WISP1
ENSG00000104415
NM_003882
+



GAAAAGGTTGTTGTTAATGAATATCAGGC









9
GGCTAAAAGGGAAAAAGGATATGTGGAGAAT
GSTM3
ENSG00000134202
NM_000849
+



CATCAAGATATGAATTGAATCGCTGCGAT









10
CCTTTCAAACATGATCAAAGATTTCCCAATGT
RAB27B,
ENSG00000041353,
NM_004163
+



GATCTCATCATCATGGATACTCAATTTG
AC098848.1
ENSG00000267112







11
GGGGAACAATGAGGGCATTTCATGAACCATC
RTN4RL1
ENSG00000185924
NM_178568
+



TCAGGCACTTCTGCATCACGGAAGACCTG









12
TGCCTTGAGAATTTCAAAAGAGGTAATCAGG
ECI2
ENSG00000198721
NM_006117
+



AAAAGAGAGAGAGAAAAACTACACGCTGT









13
GTCTGGGATTAAGGGCAAATCTATTACTTTT
TGFB3
ENSG00000119699
NM_003239
+



GCAAACTGTCCTCTACATCAATTAACATC









14
TAAAAAAGAAATAGTCAGTGTTTTCCTCCTTT
STK32B
ENSG00000152953
NM_018401
+



CAACCGAGACTATTTCTGGATTGTGTGC









15
TTTTCAGAAAGAAGTCTGGACCAGGCTGAAG
ECI2
ENSG00000198721
NM_206836
+



GCATTTGCAAAGCTTCCCCCAAATGTCTT









16
CCTCATTGCCTTATTCGGAGTACTATTATCCA
MS4A7, MS4A14
ENSG00000166927;
NM_206939
+



ATATATGAAATCAAAGATTGTCTCCTGA

ENSG00000110079







17
TGGCATCATACAAAGAGCAGGAGAAGCAAAC
AP2B1
ENSG00000006125
NM_1030006
+



ACCCAGAACTCTTTTGCTGGTCAGAGATT









18
TCCAGACCTACCTTGTACGCACATAGACATTT
DHX58
ENSG00000108771
NM_024119
+



TCATATGCACTGGATGGAGTTAGGGAAA









19
ATCTTTGTTAATTATTTTGGGGAGTAGTTGGG
RAI2
ENSG00000131831
NM_021785
+



AAATGGAAAGGTGAATTGGCTCTAGAGG









20
GTTCATTTCCAGCCCTTTCTAGATCTGATCTT
HIPK2
ENSG00000064393
NT_007933
+



TTAGGGGGAAAGACAGCTTAAAATGTTC









21
TGAATGTCATGTTTATGTCATAGACGTAGAA
QDPR
ENSG00000151552
NM_000320
+



AACGCATCCTTGAATTAAACTGCCTTAAC









22
TACTGGAGTAACTGAGTCGGGACGCTGAATC
ZG16B
ENSG00000162078
NM_145252
+



TGAATCCACCAATAAATAAAGCTTCTGCA









23
CAGATTCCCCAGAAACTACCTTTTGCCCAAA
NEO1
ENSG00000067141
NM_002499
+



GAACATGCTCAGTATTTGGGGCATTTCCT









24
AGGCAGGGGTGGTGATTCATGCTGTGTGACT
ACADS
ENSG00000122971
NM_000017
+



GACTGTGGGTAATAAACACACCTGTCCCC









25
TGGATTTCTAAACTGCTCAATTTTGACTCAAA
BTG2
ENSG00000159388
NM_006763
+



GGTGCTATTTACCAAACACTCTCCCTAC









26
CCAATCCAACAACTATAGGCTGGGTTAAATA
BBOF1, ALDH6A1
ENSG00000119636,
NM_005589
+



AAAGGTCATTATTGTCTATATTCCAAGTG

ENSG00000119711







27
TCTACCACATTAAATTCTCCATTACATCTCAC
LYPD6,
ENSG0000018712
NM_194317
+



TATTGGTAATGGCTTAAGTGTAAAGAGC
LINC00474
ENSG00000204148







28
TGAGGAATTCTTGTACGCAGTTTTCTTTGGCT
CIRBP
ENSG00000099622
NM_001280
+



TTACGAGCCGATTAAAAGACCGTGTGAA









29
CTGGTCTTTGAAAGAAATGTACTACTAAAGA
AC07914, MATN3
ENSG00000227210E
NM_002381
+



GCACTAGTTGTGAATTTAGGGTGTTAAAC

NSG00000132031







30
ATGATGGGAGAGCTCTGGCAGATGTCCCAAT
INPP5J
ENSG00000185133
NM_014422
+



CCTGGAGGTCATCCATTAGGAATTAAATT









31
CAACTTGCTCTTTCATATGAGTTGGTCATAGC
FGD6
ENSG00000180263
NT_019546
+



ATGTAAGAACCAATCTTGAAATATCGTT









32
CCTGGATCAGAGTAAGAATGTCTTAAGAAGA
CACNA1D, CHDH
ENSG00000157388,
NT_022517




GGTTTGTAAGGTCTTCATAACAAAGTGGT

ENSG00000016391







33
CTCCTGGACTGCTTCTTTTGGCTCTCCGACAA
SDSL
ENSG00000139410
NM_138432




CTCCGGCCAATAAACACTTTCTGAATTG









34
AACCAACCCATAATTGCATTTTACTTGTCGTG
MINOS1, NBL1,
ENSG00000173436,
NM_001032363




GTTCGATCTGATTGTATTGTCGAAGGAC
MINOS1-NBL1
ENSG00000158747,







ENSG00000270136







35
ATTCCTTTATGAGCTCTCCATATCCTTCTTGA
PEX12
ENSG00000108733
NM_000286
+



GAAACTGGTTAAAAAAGGAATAGGGGTA









36
AGTGGGGGTTGTGTAAAGGGGAAGTCATCTT
ERGIC1
ENSG00000113719
NM_001031711
+



TTGAGATCCAGATAGACATGGTTTGTGCA









37
TCAGCTTAAGTACTTATTGTGGTAGTGAGTC
FBXO16
ENSG00000214050
NM_172366
+



CTACGGTATTTCAGTAAAAAGGAATTCAT









38
GGCAAGAGTTATCATAGAACAACAAAATAGA
ZNF385B
ENSG00000144331
NM_152520
+



GTGGACTCTTTTAGAGCATCTATATCTGC









39
GGAGTTTCTGTTTAGGGCATTAAAAATTCCC
IP6K2
ENSG00000068745
NM_1005913
+



GCAAACTATAAAGAGCAATGTTTTCAGTC









40
ATAATTCTCTGTACAGGGGGGTTTGTGCTAT
MARCH8
ENSG00000165406
NM_145021
+



ACACTGGGATGTCTAATTGCAGCAATAAA









41
AGGACTTTAATCTTGGTGATGCCTTGGACAG
CMTM8,
ENSG00000170293,
NM_199187
+



CAGCAACTCCATGCAAACCATCCAAAAGA
KRT18P15,
ENSG00000234737,






KRT18P34,
ENSG00000244515,






KRT18P13,
ENSG00000214417,






PCDH11Y,
ENSG00000099715,






KRT18P10
ENSG00000214207







42
GGGCAAAATGTATCACTCCAAACACTACTGA
RUNDC1
ENSG00000198863
NM_173079
+



TTCAGCATTGTTTTCATGTCTTAAAATTG









43
CTGGATGTTTAGCTTCTTACTGCAAAAACATA
TBC1D9
ENSG00000109436
NM_015130
+



AGTAAAACAGTCAACTTTACCATTTCCG









44
GGTAACTTGCAGGAATATTCTATTGGAAAAG
LETMD1
ENSG00000050426
NM_015416
+



ATAACAGGAAGTACAAGTGCTTCTTGACC









45
TCAATGGTTAGCAGAAGGGAGAAAAGAAAGC
RILPL2
ENSG00000150977
NP_659495
+



AGGAAAATGTGCTATTGAGATTCCAGTGG









46
CCTGGGTTTACAACGCTGTTAGGAAAATTAA
SEC14L2,
ENSG00000100003,
NM_012429
+



CCAATGAATAAAGCAACGTTCAGTGCGCA
AC004832.3
ENSG00000249590







47
TTTTTGTACCTTGTCACTATAACTACTTCCTA
KIAA1217
ENSG00000120549
NM_019590
+



GTCAAAGAACGAAATGTAACTGTTACCG









48
TTCTAGCTGTTATTTTGCTATTTGGCATTTAC
CCDC74A,
ENSG00000163040,
NM_207310
+



ATAAAAGCACACGATGAAGCAGGTATCG
MED15P9,
ENSG00000223760,






CCDC74B
ENSG00000152076







49
TTGGGTTTATTTCCAGGTCACAGAATTGCTGT
TBX3
ENSG00000135111
NM_005996
+



TAACACTAGAAAACACACTTCCTGCACC









50
GAACAGCTCCTTACTCTGAGGAAGTTGATTC
FUT8
ENSG00000033170
NM_178157
+



TTATTTGATGGTGGTATTGTGACCACTGA









51
CTTTCTTATTTACTAAGAATTTGCCTGTTTGA
KIF3B
ENSG00000101350
NM_004798
+



ATAAGAACAAAACGCTAAGGTGGGTAGC









52
CTAGAGAGCAGAAATAAAAAGCATGACTATT
PCAT7, FBP1
ENSG00000231806,
NM_000507
+



TCCACCATCAAATGCTGTAGAATGCTTGG

ENSG00000165140







53
GTTCAGGGGCATCACCTACTTTGCTTACTTG
LBHD1, CSKMT
ENSG00000162194,
NM_024099
+



ATTCAAGGCTCTCATTAAAGACATTTTAG

ENSG00000214756







54
GTTGGTAGAGGGAGTATGATAAAATGTTTAA
KIAA1324
ENSG00000116299
NM_020775
+



ATCTCATTTGGTTACCTTGAGTCCTGGAA









55
AATTCAACAGTGTGGAAGCTTTAGGGGAACA
TMEM25
ENSG00000149582
NM_032780
+



TGGAGAAAGAAGGAGACCACATACCCCAA









56
CAAGTTGTGCAAAGTGAGAAAGATCTTTGTG
PIN4, RPS4X
ENSG00000102309,
NM_001007
+



GGCACAAAAGGAATCCCTCATCTGGTGAC

ENSG00000198034







57
CAAGAGAACCTGGAGAAAACTACCGTATTCA
STON2
ENSG00000140022
NT_026437
+



AGAGATTAATCAAAATCAGTGTTTTAGCC









58
CCGAATGACCTTAAAGGTGATCGGCTTTAAC
TENM3
ENSG00000218336
XM_940722
+



GAATATGTTTACATATGCATAGCGCTGCA









59
AGTTTATGGGCCAGAATATTCTGTATACCAG
RASL11B
ENSG00000128045
NM_023940
+



ACATTGGTAAGCTCTCATGGTTTACAGGA









60
CCATGTGGCCAGTCTACCATGGGGCCCAGGA
GSDMD
ENSG00000278718
NM_024736
+



GTTGGGGAAACACAATAAAGGTGGCATAC









61
ATGCTTAAACCCACGGAAGGGGGAGACTCTT
LAMP5
ENSG00000125869
NM_012261
+



TCGGATTTGTAGGGTGAAATGGCAATTAT









62
TTCTTTCTTCAAAGAGTCATCAGAATAACATG
CHPT1, SYCP3
ENSG00000111666,
NM_153694
+



GATTGAAGAGACTTCCGAACACTTGCTA

ENSG00000139351







63
TGAAGTCAGCGTTAACCATGTGCATACAACT
ZNF627
ENSG00000198551
NM_145295
+



TAAGGAATTTTTTCCTCCTCATGTAAATT









64
GTTAAACAGGGATTATAGTACTTGTCTCACA
COL23A1
ENSG00000050767
NT_023133
+



AAGTTTCTGTGAGAATTAAACAAGGGGAT









65
CAGCCTGTGTGATACAAGTTTGATCCCAGGA
SCUBE2
ENSG00000175356
NM_020974
+



ACTTGAGTTCTAAGCAGTGCTCGTGAAAA









66
AATGCACAGATCTGCTTGATCAATTCCCTTGA
AC023024.1,
ENSG00000259172,
NM_138319
+



ATAGGGAAGTAACATTTGCCTTAAATTT
PCSK6
ENSG00000140479







67
TTTCCAATAACCACCTAAATTTTAACAAAGGT
RBP3
ENSG00000265203
NM_002900
+



TCCTTCTAAGTGGTAGAACTTGGGGTGG









68
AGTTATGCTTCCCTTCATGTTATATGCACATT
MYRIP,
ENSG00000170011,
NM_015460
+



GCCAAGAATTACTGTCAAGAGAAATGAT
EIF1B-AS1
ENSG00000280739







69
AAGGTTTGAAGGTTACGGCTCAGGGCTGCCC
SPEF1
ENSG00000101222
NM_015417
+



CATTAAAGTCAGTGTTGTGTTCTAAAAAA









70
GGACTGTATGAATTTATAGAAAATTGAATCTA
CLSTN2
ENSG00000158258
NT_005612
+



ATTTCAGAAGAGCGCACTGTCTTCTCAG









71
TACATTTCTTTGGGTTTCTAGAGACGCCCCTA
EVL, DEGS2
ENSG00000196405,
NM_016337
+



AGTCACCTGCTTCATTAGACGGTTTCCA

ENSG00000168350







72
GGCCTAATTGAGGGAAGGAGGAAATTCATAC
ELMOD3
ENSG00000115459
NM_032213
+



CAGCAGTTTTCAAATAAAAGAATTGTTCT









73
TCCAATTCTACACTCAGTTAAAGACCATTACT
BBOF1, ALDH6A1
ENSG00000119636,
NM_005589
+



TCTCAGTGGAAAGAAGAAGATGCTACTC

ENSG00000119711







74
GTGGGGACTTCGTGGGAGGCACTCATGGCTC
KIAA1683
ENSG00000130518
NM_025249
+



TCTGGGTCTAATGAATAAAGTCCTCCACA









75
CCAGGATCTTAAGGAAGAATATTCTAGGAAG
SPC25
ENSG00000152253
NM_020675




AAGGAAACTATTTCTACTGCTAATAAAGC









76
AGAAAACCCTTTTCTACAGTTAGGGTTGAGT
TFRC
ENSG00000072274
NM_003234




TACTTCCTATCAAGCCAGTACGTGCTAAC









77
TAGGGAATGAATGAATGAATATGGATTGCTG
PAQR3
ENSG00000163291
NM_177453




TTAACTAGAAACACTTCTGTATGTCAGTC









78
GTACTTAGCTGGAAGAACATGTTAATTCTGC
MLLT10
ENSG00000078403
NM_1009569




AATATGTTTCTTGGTTAAACATTGCACAG









79
ACTCTCTTAGGTCATTTTTCAATGTGTGTAAC
CENPBD1
ENSG00000177946
NM_145039




CAAAAGTTAATCAGAATAAAGCGGAAGC









80
AATGCTTTGTTGGAGTTTAAAAATTCAGGGA
AL44926, GPSM2,
ENSG00000274068,
NM_013296




AAAAATCGGCAGACCATTAGTTACTATGG
CLCC1
ENSG00000121957,







ENSG00000121940







81
AAGAAACCAGCATGTGACTTTCCTAGATAAC
PIMREG
ENSG00000129195
NM_019013




ACTGCTTTCTCATAATAAAGACTATTTGC









82
GTTGGCATTGATATGGTACAACCTGCAAATT
HACD2
ENSG00000206527
NM_198402




ACTTGCAGTTCTGAGTTTCAGATAAAACA









83
AGTGTCATTTTAAGGGACATTTTTATGACTTT
ACE,
ENSG00000159640,
NM_152831




TATGTGTATGTTTATGTAGAAATTTGGA
AC113554
ENSG00000264813







84
ACTCACTTCTTTTCAGGTGTAGCTACAATTGT
OXCT1
ENSG00000083720
NM_000436




GTAATGTACAATATTAGAGAAAGGACAG









85
CCTGGGAGCAAATGAACAATAGCTAAGTGTC
GNAZ
ENSG00000128266
NM_002073




TTGGTATTTAAAGAGTAAATTATTTGTGG









86
CCAAGAATATATGCTACAGATATAAGACAGA
FLT1
ENSG00000102755
NM_002019




CATGGTTTGGTCCTATATTTCTAGTCATG









87
ATGCTTTCCTAAATCAGATGTTTTGGTCAAGT
MAD2L1, MNAT1
ENSG00000164109,
NM_002358




AGTTTGACTCAGTATAGGTAGGGAGATA

ENSG00000020426







88
ATTTGTGTGGACAAAAATATTTACACTTAGG
CDC25B
ENSG00000101224
NM_004358




GTTTGGAGCTATTCAAGAGGAAATGTCAC









89
AAATATACTATGTTTGCGAACCTTGGTAGCTA
KIF21A
ENSG00000139116
NM_017641




TGATGAGAGCTATTATCATCTGTGGTGG









90
TCAATGAAAGTTCAAGAACCTCCTGTACTTAA
HMGB3
ENSG00000029993
NM_005342




ACACGATTCGCAACGTTCTGTTATTTTT









91
ACCTTGATAGTTCACCACGTCTGATGGATCC
PTDSS1
ENSG00000156471
NM_014754




CTGTTTTAAATAAAAACGATTCACTTTAA









92
TAAAATACTTCAATCCTGGATTCACAGTGGG
MTMR2
ENSG00000087053
NM_016156




AACAAGTTTCTATTAAAAGGCAAATGCTG









93
GGCTGTGAACAATGTTAAATAGCATCAGTTT
CENPU
ENSG00000151725
NM_024629




GTCCAATAGTTTTAAAGGCCATAATCATC









94
ACGAGTACCGGCATGTTATGTTACCCAGAGA
AL353705
ENSG00000234819
NM_001827




ACTTTCCAAACAAGTACCTAAAACTCATC









95
ATTTTTTAGAAAATACACACTTTTCAGGAGAA
Clorf198
ENSG00000119280
NM_032800




ACCTGAGCATGATTTTGGATTCTCCACC









96
CAGCTCAGACCATTTCCTAATCAGTTGAAAG
RRM2,
ENSG00000171848,
NM_001034




GGAAACAAGTATTTCAGTCTCAAAATTGA
AC007240
ENSG00000284681







97
CACTGCAGACTCTCAAGAGATCAATCAAATT
INTS7
ENSG00000143493
NM_015434




GCCAGAAACAGTTTGGTTTTTCATATGGA









98
TGAAACTTTCTTCTGATGAGTTTCTTTAACGT
MRPL13
ENSG00000172172
NM_014078




ACAGGATGGAGTAAAACAAATGGTACAG









99
CAATTCTTGAGAGTTAATGTGATCATGATATT
ARMC1
ENSG00000104442
NM_018120




GCAAACAACTATAAATGGTCTCTAGGCC









100
GAAGGAAACACCGAGTCTCTGTATAATCTAT
ADM
ENSG00000148926
NM_001124




TTACATAAAATGGGTGATATGCGAACAGC









101
AGCAACCTGGGCCTTGTACTGTCTGTGTTTTT
IGFBP5
ENSG00000115461
NM_000599




AAAACCACTAAAGTGCAAGAATTACATT









102
GGGAATTTGATGCAGTAAAGATTACCCTGTT
SKA3
ENSG00000165480
NM_145061




TTATGATTGTTCCTTGAAAGTCAAATGGG









103
TAAGGCTAATGATACCAATGAGGGTTGGTTT
SLC7A1
ENSG00000139514
NM_003045




ATTATCAAACCTGAATAGCTGTGGTTTCT









104
TGGGGAGATACATCTTATAGAGTTAGAAATA
PRAME
ENSG00000185686
NM_006115




GAATCTGAATTTCTAAAGGGAGATTCTGG









105
TATCTTGAAACTGACCAAACGCTTATTGTGTA
CTSV
ENSG00000136943
NM_001333




AGATAAACCAGTTGAATCATTGAGGATC









106
TTCTCTGAAGGAATCATGTTCAGTGTTCGAC
SMC4P1
ENSG00000229568,
NM_1002799




CACCTAAGAAAAGTTGGAAAAAGATCTTC
AC07959
ENSG00000248710,






SMC4
ENSG00000113810,






TRIM59
ENSG00000213186







107
TGTCATAGACATGTATTGGGGAGCTTCCAAT
NIPA1
ENSG00000170113
NM_144599




TAGCATACATAGACACATGTGTCAGTGGC









108
TGTCCATGCTACAAGAAGTTATGAGCCTTGT
SFT2D2
ENSG00000213064
NM_005149




TCTAAGTACAGATGAACCTTGTATTTGTG









109
ATCCCGATTTCAGTCAGACAAATACTCATTTC
SACS
ENSG00000151835
NM_014363




AGAGATTCTATACTTCATGGAATCAAGA









110
AGTTACTTTCTTAATGTGACCTAGCAATAGGC
CTPS1
ENSG00000171793
NM_001905




ATAGCTACGTGGCACTATATTCTGGCCA









111
GAAATCTCTCTACACAGATGAGTCATCCAAA
NUSAP1
ENSG00000137804
NM_018454




CCTGGGAAAAAATAAAAGAACTGCAATCA









112
AAATTGCTAAGTGGAATGCATGAATTGCATT
PSMD7
ENSG00000103035,
NM_002811




ATGTTCTCTGGTAACACGTAGAGTTCAGA
AC009120
ENSG00000259972







113
CCAAAGGTCTTGGTACAACCAGCTGCCCATT
BUD23
ENSG00000071462,
NM_004603




TTGTGAAATTTTTATGTAGAATAAACATT
STX1A
ENSG00000106089







114
GTTTCGGGTCTTTACCTCATAGTATGAAATTA
KIAA1147
ENSG00000257093
XM_1130020




GTAAGACACTGCATAGATTTTGCCCTGA









115
GAGTACGGATGGGAAACTATTGTGCACAAGT
NDRG1
ENSG00000104419
NM_006096




CTTTCCAGAGGAGTTTCTTAATGAGATAT









116
TATTTTATCAGCACTTTATGCACGTATTATTG
PFKP
ENSG00000067057,
NM_002627




ACATTAATACCTAATCGGCGAGTGCCCA
AL45116
ENSG00000278419







117
TGCCCTATGGAAAACTTGTCCAAATAACATTT
CD163L1
ENSG00000177675
NM_174941




CTTGAACAATAGGAGAACAGCTAAATTG









118
CTCCTTGTCATTGACCTTAGCTAAACCATGGC
MAPRE2
ENSG00000166974
NM_014268




AATTCATAAATAGAGGAAACATTAATGA









119
CTGAACGAGAACAAGAATCAGAAGAAGAAAT
TMEM45A
ENSG00000181458
NM_018004




GTGACTTTGATGAGCTTCCAGTTTTTCTA









120
TATATTATCAGTCTGTACCAGTAGACCAGTAC
PABPC1
ENSG00000070756
NM_002568




CCTAACTACTGAAAAGAATATGGCAGTT









121
AGTAACGCTAACTTTGTACGGACGATGTCTC
RHBDF2
ENSG00000129667
NM_001005498




ATGGATTAAATAATATTCTTTATGGCAGT









122
GTGGATCTACCTCAGTTAAACAGTTGGGTGC
AGO2
ENSG00000123908
AF093097




TATTACTAAGTCTGTCAAATTAAATTGGA









123
CATTCTAAAGGGAAATCAGTAAAATGTCTTG
TMEM64
ENSG00000180694
NM_1008495




ATAATTGGTATCCAAATCACTTGTGTGCC









124
CCAAAGACAAACGATTAGAAGATGGCTATTT
MGAT4A
ENSG00000071073
NM_012214




CAGAATAGGAAAATTTGAGAATGGTGTTG









125
CAAACTTCCTGACACTACTTCCATATTTGCAC
CDK16
ENSG00000102225
NM_006201




TAAAGGAGATTCAGCTACAAAAGGAGGC









126
ACCTTCCTATGAAGATCATGGAATCAAATAC
AL589666
ENSG00000271793,
NM_006372




GGGACATTGAACTAATACTTGGACTTTGA
SYNCRIP
ENSG00000135316







127
GGCTAACACAATCTAATTTTGGTTTAAGAGA
HIF1A
ENSG00000100644
NM_181054




CAAATCTAGAGTCTCAAATGATCTCAGAG









128
TGGACCCTTAAATATGACTAAAATCACAGCA
RRAGD
ENSG00000025039
NM_021244




ATATTGTTACATACGGGTTATATGCCAAC









129
TAAGCATTGTGAAGGAAGATTAATATAGCCA
HIF1A
ENSG00000100644
NM_181054




AATAACTAGAGTGATCAGTTCTACCAGAG









130
CCTGGATAAAAGTACTGTATGATTTTGTGAT
DEGS1
ENSG00000143753
NM_144780




GGATGATACAATAAGTCCCTACTCAAGAA









131
GCTTTGTTACTTTGTTAGGTACGAATCACATA
LRP12
ENSG00000147650
NM_013437




AGGGAGATTGTATACAAGTTGGAGCAAT









132
TAAAAGATGAAGAAAGCTATTAGGTATATTT
ZDHHC20
ENSG00000180776
NT_024524




GTACATGACTGCAAATGAGTCTATGCCCG









133
GTGTGTTATCTTTATATGTCAAACTGGTTGAA
PLEKHA1
ENSG00000107679
NM_021622




CACTGTAATGAGAATAAACTGCACAGAG









134
GATTATTGTACGAAGTGTCTCTGTAATTATCA
FBX05
ENSG00000112029
NM_012177




TACTACTAAAGACTGTTCAGATGGCAAG









135
CATTTGTATTAATGGAATACTAAGTCCCTCTG
NEAT1
ENSG00000245532
NT_033903




TGATTTCTGAACCAAGCTATTCCTAGGC









136
ATGAAGAGATTTCTCAAGCTATTCTTGATTTC
PIR
ENSG00000087842
NM_003662




AGAAACGCAAAAAATGGGTTTGAAAGGG









137
AGCCAATCATGAGTACGTAAAGTGATTTTTG
ASPM
ENSG00000066279
NM_018136




CTCTCTGTGTACAACTTTTAAAATCTGAC









138
ATCCTAGACCATATTTTCAAGTCATCTTAGCA
GBE1
ENSG00000114480
NM_000158




GCTAGGATTCTCAAATGGAAGTGTTATA









139
AGTGATTTCATGCTAGAAAAATTGGAAACTA
HJURP
ENSG00000123485
NM_018410




AAAGTGTGTAGCTAGGTTATTTCGGAGTG









140
GCTAAGCCAAGTAGTAGCAGTAAAACTTCTG
QSER1
ENSG00000060749
NM_024774




ATCCTCTAGCATCAAAAACTACAACTACA









141
GGAAAGAAGTTGAAAGCATCTTGAAGAAAAA
BNIP3
ENSG00000176171
NM_004052




CTCAGATTGGATATGGGATTGGTCAAGTC









142
ACCTGGATATGTCTGTGAGGCTCCTGAAAGG
AC087521
ENSG00000254409,
BC052560




AGACAAATAAAGTCAATATATTTGCACAA
C11orf96
ENSG00000187479,






AC087521
ENSG00000244953







143
GGGTATGAAAGATGAGTGTCTGTAAAAATCC
LINC00888
ENSG00000240024
NT_005612




TTCTTAGAAATGTATTTCCTCAAGACTCT









144
CAGATGGCAAGATTGAGTTTATTTCAACAAT
GGH
ENSG00000137563
NM_003878




GGAAGGATATAAGTATCCAGTATATGGTG









145
GAAACTGTGTCACCCTAAAGAAGCATATAAT
TRIP13
ENSG00000071539
NM_004237




CATAGCATTAAAAATGCACACATTACTCC









146
CAAGCGTGTTTCTAGAGAACAGTTGAGAGAG
STMN1
ENSG00000117632
NM_005563




AATCTCAAGATTCTACTTGGTGGTTTGCT









147
CCGACAAGAGGAGATCATTTTAGATATTACC
CENPN
ENSG00000166451,
NM_018455




GAAATGAAGAAAGCTTGCAATTAGTGAAC
AC092718
ENSG00000260213,






AC092718
ENSG00000284512







148
TAATAGCAAAATTTAACCCGTTACTCTTTAAC
MYO10
ENSG00000145555
NM_012334




CTTGTACTGGAAATTCTAAGCAGTGCAG









149
CTTCCTACCTCTGGTGATGGTTTCCACAGGA
TK1
ENSG00000167900
NM_003258




ACAACAGCATCTTTCACCAAGATGGGTGG









150
AAATCATTCGGTAAATCCAAACTGCTATGCA
RUNX1
ENSG00000159216,
NM_004456




AAAGTTATGATGGTTAACGGTGATCACAG
EZH2P1
ENSG00000231300







151
TTGGGTTTCTAGTCCTCCTTACCATCATCTCC
AURKA
ENSG00000087586
NM_003600




ATATGAGAGTGTGAAAATAGGAACACGT









152
GCTGGTGGAGTAGCAGATGATATTAATACTA
DLGAP5
ENSG00000126787
NM_014750




ACAAAAAAGAAGGAATTTCAGATGTTGTG









153
TCACCCAGAACCAATGCGGTGTTTCTTAATG
TBCE
ENSG00000285053,
NM_152490




TTTGCACAAATTTCCTTAAAAATCAACTT
B3GALNT2
ENSG00000162885







154
CAGGACTTCTCTTTAGTCAGGGCATGCTTTAT
CENPF
ENSG00000117724
NM_016343




TAGTGAGGAGAAAACAATTCCTTAGAAG









155
CCCTGTGCTATCGTAAGTTTGTTTTGAGCACT
AL117350
ENSG00000237481,
NM_145257




GCATTCACTTTAAAATTCTGGAGGAACA
CCSAP
ENSG00000154429







156
CAACATATTTCAGTTGGAAAATTTGTATGCAG
ATAD2
ENSG00000156802
NM_014109




TAATCAGCCAATGTATTTATCGGCATCG









157
CCCCCATTCTGGAAGGTTTTGTTATCTTCGGA
PSMD2
ENSG00000175166,
NM_002808




AGAACCCCAATTATGATCTCTAAGTGAC
FMN2
ENSG00000155816,






AL359918
ENSG00000228818







158
TGTCCCCAGGGATCAAACAGAAGCAGCCGTG
SHMT2
ENSG00000182199,
NM_020142




GGCAAAATACAATTTCATTTAACAAATTG
NDUFA4L2
ENSG00000185633







159
AAACAGCATTATGGAGTTAAAAGATTTTTACA
PIMREG
ENSG00000129195,
NM_019013




ACTGGGTCTTGATTTTGATGTGAGCTGG
PITPNM3
ENSG00000091622







160
TCCAGACGCACTGATCTTTGCAAAGGAGACT
DCK
ENSG00000156136
NM_000788




TAATTTCAAATCTGTAATTACCATACATA









161
CATTTGGCTGTCAGAAATTATACCGAGTCTA
DTL
ENSG00000143476
NM_016448




CTGGGTATAACATGTCTCACTTGGAAAGC









162
TTAAAGGCAAAACTGTGCTCTTTATTTTAAAA
COL4A2
ENSG00000134871
NM_001846




AACACTGATAATCACACTGCGGTAGGTC









163
AAGGTGCTGTCATATATCTTGGAATGAATGA
AGFG1
ENSG00000173744
NM_004504




CCTAAAATCATTTTAACCATTGCTACTGG









164
GGATGTAAATCCTGAGCTCAAATCTCTGTTA
NMB
ENSG00000197696
NM 205858




CTCCATTACTGTGATTTCTGGCTGGGTCA









165
CCTCAAGAGTATGTATAATTTGAAGAGATAC
KIF14
ENSG00000118193
NM_014875




TTTGTAACTATGCTTGGGTGATATTGAGC









166
TTCACAGAATAGCACAAACTACAATTAAAACT
BIRC5
ENSG00000089685
NM_001012271




AAGCACAAAGCCATTCTAAGTCATTGGG









167
CCAGCACATAGGAGAGATGAGCTTCCTACAG
VEGFA
ENSG00000112715
NM_003376




CACAACAAATGTGAATGCAGACCAAAGAA









168
GAGAAACATTGTATATTTTGCAAAAACAAGA
ECT2
ENSG00000114346
NM_018098




TGTTTGTAGCTGTTTCAGAGAGAGTACGG









169
TACTTTTTGGAAAAGAATAAACCAAGAATTG
IVNS1ABP
ENSG00000116679
NM_016389




ATTGGGCACATCATTTCAAGAAGTCCCTC









170
ATGGAGTTGCTAGTAAAGCGAAGCTGATTAT
MCCC1
ENSG00000078070
NM_020166




CCTGGAAAACACTATTTACCTATTTTCCA









171
GACTGCTAGTGGATAATAACATCTTGACTAC
TMEM38B
ENSG00000095209,
NM_017779




TTAAAAAAGGGACATATTGAAAATCCTGG
AL592437
ENSG00000232486,






OTUD7A
ENSG00000169918,






AC026951
ENSG00000259358,






DEPDC1
ENSG00000024526,






AL138789
ENSG00000233589







172
CATGTTACCTGGACTGGAACAGACTGTGAAT
INAVA
ENSG00000163362,
NM_018265




ATAGCAGAAGGTTCCAAGAACTCTGGTGT
SLC9C1
ENSG00000172139







173
GAGACCAGGTGCTTCAAAACTTAGGCTCGGT
KIF21A
ENSG00000139116
NM_017641




AGAATCTTACTCAGAAGAAAAAGCAAAAA









174
GGATTCAACCCAAATGATTTCTCATCAGGTG
C16orf95
ENSG00000260456
AK026130




ATTCTTGGTTGTAGCAAAGTTCATGTGAA









175
AGAACTCTTGATTTTGTACATAGTCCTCTGGT
CCNB2
ENSG00000157456,
NM_004701




CTATCTCATGAAACCTCTTCTCAGACCA
AC092757
ENSG00000259732







176
AATTGGTAAACATCATGTTCCTGATGATAACC
STK3
ENSG00000104375
NM_006281




CAGTAGCAAAAACATTTGTACTGAGTGG









177
CATCAGTCTTGGGAAATTTGAACTTTGATCAA
ZNF367
ENSG00000165244
NM_153695




CTTAACTAAAGAAGGAAGGGTAGTAAGA









178
TTAGGGCCCTACGTAATAGGCTAATTGTACT
BUB1
ENSG00000169679
NM_004336




GCTCTTAGAATGTAAGCGTTCACGAAAAT









179
GAGTCTTTGGGATACCATTAAAAAGAAGAAA
ASPM
ENSG00000066279
NM_018136




ATTTCAGCCTCTACAAGTCACAACAGAAG









180
AGAGTGTGAAAAATAGGAACACGTGCTCTAC
AURKA
ENSG00000087586
NM_003600




CTCCATTTAGGGATTTGCTTGGGATACAG









181
AACTTTTTAGGGCAAAGTTAACACTGAAAGT
UTP23
ENSG00000147679,
NM_006265




TCTAGCTTAAGTGTTGAAACTTTTGTGGG
RAD21
ENSG00000164754







182
ACTTAGCATTTTCTGCATCTCCACTTGGCATT
PGK1
ENSG00000102144,
NM_000291




AGCTAAAACCTTCCATGTCAAGATTCAG
OPHN1
ENSG0000079482,






AC010422
ENSG00000269693







183
TTTTGATGAGAATGAATCTTGGTACTTAGATG
CP
ENSG00000047457,
NM_000096




ACAACATCAAAACATACTCTGATCACCC
LRRC69
ENSG00000214954,






AC104966
ENSG00000253525







184
TTCCCTTCAATACTCCTAAAACCAAAGAAGG
AC079781
ENSG00000284707,
NM_183356




ATATTACTACCGTCAAGTCTTTGAACGCC
ASNS
ENSG00000070669







185
TCCTGTCCTGCTCATTATGCCACTTCCTTTTA
CA9
ENSG00000107159
NM_001216




ACTGCCAAGAAATTTTTTAAAATAAATA









186
CAAAAACTCAGATCTATCTTAAGAGTGACCA
AL451164
ENSG00000278419,
NM_014889




GGAAGAGGTTCATTGAAATAATCATGCAT
PITRM1
ENSG00000107959







187
CATACGGTTTTGTTTGGAGGATGGCTTCTGC
TMEM74B
ENSG00000125895
NM_018354




TGCTAAAAATACAAAAGTTTGGAAACCGC









188
CAGAGGGACCTTATTTAAACATAAGTGCTGT
ESM1
ENSG00000164283
NM_007036




GACTTCGGTGAATTTTCAATTTAAGGTAT









189
GTTTGTGAAACTGTTAAGGTCCTTTCTAAATT
CCNE2
ENSG00000175305
NM_057749




CCTCCATTGTGAGATAAGGACAGTGTCA









190
TTAACCAGCTGTAAAACACAGACCTTTATCAA
EGLN1
ENSG00000135766
NM_022051




GAGTAGGCAAAGATTTTCAGGATTCATA









191
GGGGATGAATAGAAAACCTGTAAGCTTTGAT
CENPA
ENSG00000115163
NM_001809




GTTCTGGTTACTTCTAGTAAATTCCTGTC









192
GTGATAAAGTACCTGATCCAAATGTTATGAG
LIN9
ENSG00000183814
NT_004559




AATACTGGACGAGAATTGAACGAAATTGA









193
TGCAGCAGTACTACTGTCAACATAGTGTAAA
PRC1
ENSG00000198901
NM_199413




TGGTTCTCAAAAGCTTACCAGTGTGGACT









194
GCATGAGTCACAATTACAAAGTTTTGAGCGG
PALM2-AKAP2
ENSG00000157654;
NM_147150




TTTTGTAATTTGACATTTAGGAAAGTCTC
AKAP2
ENSG00000241978







195
TTATTCGAAGACACAGAAGTTGGGCAAGTCA
NMU
ENSG00000109255
NM_006681




AATGTTGTGTCGTCAGTTGTGCATCCGTT









196
TGTACTGGCAGGCTCGTTTTACCTGATTCTA
PITRM1
ENSG00000107959
NM_014889




GAATATTTAAGAATCTAAAAATAAAGGGC









197
GTGGCCTATAACTTACTTGTCAACAACTGTG
HRASLS
ENSG00000127252
NM_020386




AACATTTTGTGACATTGCTTCGCTATGGA









198
CCAGGACGCCACTCATTTCATCTCATTTAAG
IGFBP5
ENSG00000115461
NM_000599




GGAAAAATATATATCTATCTATTTGAGGA









199
CGGAGCGCAGGGTACTTGGCGTATAATAAGC
JHDM1D-AS1
ENSG00000260231
NT_007914




CATCAATAATTTATGGGTGAAATTGAGAG









200
CAGAGCTACAACTAGGAAAATTAGAGTGGTA
MSANTD3
ENSG00000066697
NM_080655




GTAGTCACTTATTTAAGAATTCATTCAGG









201
TTGGTAGTTAACCCTAACTACTTGCTCGAAG
MCM6
ENSG00000076003
NM_005915




ATTGAGATAGTGAAAGTAACTGACCAGAG









202
GCGTGAGCATGTCAGTATTCTAGTCCAGTAT
SMIM5
ENSG00000204323
XM_946181




TTGCCAGTTTCCAAGTAAAAGCTTTTGTG









203
GCTGTGCCATTCAATGTTTGATGCATAATTG
CDCA7
ENSG00000144354
NM_031942




GACCTTGAATCGATAAGTGTAAATACAGC









204
CCAAGAAGGAAAATGTCAAAATTAGTGATGA
RFC4
ENSG00000163918
NM_181573




GGGAATAGCTTATCTTGTTAAAGTGTCAG









205
TGCTTTAAGTGAATGGCAGTCCCTTGTCTTAT
ORC6
ENSG00000091651
NM_014321




TCAGAATATAAAATTCAGTCTGAATGGC









206
AGGTTGGCAGTAAGGCAGGGTCCCATTTCTC
SLC2A3
ENSG00000059804
NM_006931




ACTGAGAAGATTGTGAATATTTCCATATG









207
GTGCAAATAGAATTAGCAGTAAGAAGCTACT
ADGRG6
ENSG00000112414
NM_1032395




CTAGCTAATTTGCCATTTCACTTAAATGG









208
GATACAGCCTACATAAAGACTGTTATGATCG
MELK
ENSG00000165304
NM_014791




CTTTGATTTTAAAGTTCATTGGAACTACC









209
CAACATTTACATTGTAATTCAATAGACGCTAC
GRHL2
ENSG00000083307
NT_008046




TACTACAAAGGAGCTTTATTCTTCCAGC









210
CAACAGTATTGCGTTGTCAGACTAGGAAAGC
MTDH
ENSG00000147649
NM_178812




TAAACGAACAAAATGGTTTTAGTTTTGCT









211
CTGGTTGTCCAACTACCATATGAAGCTAGAA
UCHL5
ENSG00000116750
NM_015984




AATGCACAAACGATATTCCTTATCTGTAA









212
GGCATCAGGGATCACATCACTCTTAACGGCT
RAB6B
ENSG00000154917
NM_016577




GTTACTTAAACAACTATTTTTTGGTTTGG









213
TGAAAATGTATTTGTAGTCACGGACTTTCAG
ECT2
ENSG00000114346
NM_018098




GATTCTGTCTTTAATGACCTCTACAAGGC









214
AGACCAGGTCTCTATTTTGAGGAAGAAATAC
EXT1
ENSG00000182197
NM_000127




CGAGACATTGAGCGACTTTGAGGAATCCG









215
AAGTCATGACACAGTATTCGCTCTTTTTCTGA
GPR180
ENSG00000152749
NM_180989




ATGTTTACATAGAGATTCATCACTGCAG









216
CAGTAAGTACGGGAAAAAATGTTTACTAACT
LPCAT1
ENSG00000153395
NM_024830




TCCTCAGAGATTCGTGATACGCGTTTCTC









217
CTTTGAATGGACATAAAAATTCTGCTTGTTAA
SERFIA
ENSG00000172058
NM_021967




GAACAAGTTGAGCTCTGGTAACTGATCT









218
TGACTGATGTGTCTGAAAATGCTAAGGATCT
CDC42BPA
ENSG00000143776
NM_003607




TATTCGAAGGCTCATTTGTAGCAGAGAAC









219
CTCTGAAAGAAGAAGTTCAAAAGCTGGATGA
NDC80
ENSG00000080986
NM_006101




TCTTTACCAACAAAAAATTAAGGAAGCAG









220
ATCTGTGGTTATTCGAACCTTTATTACTAGTG
GMPS
ENSG00000163655
NM_003875




ACTTCATGACTGGTATACCTGCAACACC









221
TCCACCCCAGGACGCCACTCATTTCATCTCAT
IGFBP5
ENSG00000115461
NM_000599




TTAAGGGAAAAATATATATCTATCTATT









222
GGCCCTCTCTTCTCACCTTTGTTTTTTGTTGG
MMP9
ENSG00000100985
NM_004994




AGTGTTTCTAATAAACTTGGATTCTCTA









223
CTGGGTTGATACCTGAAAGAATCCTGTCTTA
CMC2
ENSG00000103121
NM_020188




TTTGGTCTCCATAATCCTTTGAATGGAAA









224
AGTACCCTGATATACTGAATTTTGTGGATGAT
DIAPH3
ENSG00000139734
NM_030932




TTGGAACCTTTAGACAAAGCTAGTAAAG









225
AAGACTTTCTTACTGACCTGAATAACTTCAGA
DIAPH3
ENSG00000139734
NM_030932




ACCACATTCATGCAAGCAATAAAGGAGA









226
TTTAGTGGTCCGTTGCCTCTGAAGATGTAAA
QSOX2
ENSG00000165661
NM_181701




CAAACAAATACACTATTTCTGGGAACATT









227
ATAGAATATGTATATGTATTCTTTGTCTACCA
TMEM65
ENSG00000164983
NT_008046




ACTACCAAAGAAACAAATACTCCTCAGT









228
ACATTGCTTACTTAAAAGCTACATAGCCCTAT
NUSAP1
ENSG00000137804
NM_018454




CGAAATGCGAGGATTAATGCTTTAATGC









229
ACCATAAGGCAATTGAGCACATAACGAAAAA
DIAPH3
ENSG00000139734
NM_001042517




TGATGCAATAAGAATGTATGCACTCTCTT









230
CAGCCTTTCCTCATGTCAACACAGTTCACAAT
MIR210HG
ENSG00000247095
NT_035113




ATAGTTTTCAAAGTACAGTTTAAAACTC









231
CCTCCCCAAAATAATTAGTAACTGGTTGTTCT
TSPYL5
ENSG00000180543
NM_033512




ACTTGGTAATTTGACACCCTGTTAATAA
















TABLE 2







Preferred genes.













Gene


Gene




Name
Description

Name
Description
















194
PALM2-
ENSG00000157654;
161
DTL
ENSG00000143476



AKAP2; AKAP2
ENSG00000241978


1
ALDH4A1
ENSG00000159423
5
EBF4
ENSG00000088881


17
AP2B1
ENSG00000006125
12
ECI2
ENSG00000198721


4
BBC3
ENSG00000105327
15
ECI2
ENSG00000198721


174
C16orf95
ENSG00000260456
216
ECT2
ENSG00000114346


3
CAPZB
ENSG00000077549
184
EGLN1
ENSG00000135766


189
CCNE2
ENSG00000175305
182
ESM1
ENSG00000164283


218
CDC42BPA
ENSG00000143776
222
EXT1
ENSG00000182197


203
CDCA7
ENSG00000144354
2
FGF18
ENSG00000156427


191
CENPA
ENSG00000115163
221
FLT1
ENSG00000102755


223
CMC2
ENSG00000103121
215
GMPS
ENSG00000163655


162
COL4A2
ENSG00000134871
220
GNAZ
ENSG00000128266


160
DCK
ENSG00000156136
201
ADGRG6
ENSG00000112414


18
DHX58
ENSG00000108771
210
GPR180
ENSG00000152749


229
DIAPH3
ENSG00000139734
206
GRHL2
ENSG00000083307


224
DIAPH3
ENSG00000139734
9
GSTM3
ENSG00000134202


225
DIAPH3
ENSG00000139734
212
SERF1A
ENSG00000172058


191
HRASLS
ENSG00000127252
196
PITRM1
ENSG00000107959


198
IGFBP5
ENSG00000115461
193
PRC1
ENSG00000198901


221
IGFBP5
ENSG00000115461
226
QSOX2
ENSG00000165661


199
JHDM1D-
ENSG00000260231
212
RAB6B
ENSG00000154917



AS1


192
LIN9
ENSG00000183814
204
RFC4
ENSG00000163918


216
LPCAT1
ENSG00000153395
11
RTN4RL1
ENSG00000185924


201
MCM6
ENSG00000076003
42
RUNDC1
ENSG00000198863


208
MELK
ENSG00000165304
65
SCUBE2
ENSG00000175356


230
MIR210HG
ENSG00000247095
206
SLC2A3
ENSG00000059804


222
MMP9
ENSG00000100985
202
SMIM5
ENSG00000204323


16
MS4A7;
ENSG00000166927;
14
STK32B
ENSG00000152953



MS4A14
ENSG00000110079


200
MSANTD3
ENSG00000066697
13
TGFB3
ENSG00000119699


210
MTDH
ENSG00000147649
227
TMEM65
ENSG00000164983


219
NDC80
ENSG00000080986
187
TMEM74B
ENSG00000125895


195
NMU
ENSG00000109255
231
TSPYL5
ENSG00000180543


228
NUSAP1
ENSG00000137804
211
UCHL5
ENSG00000116750


205
ORC6
ENSG00000091651
8
WISP1
ENSG00000104415


84
OXCT1
ENSG00000083720
38
ZNF385B
ENSG00000144331









5 EXAMPLES
Example 1
Outline of the Study

A total of 372 breast cancer samples of patients with breast cancer having a High Risk MammaPrint outcome were entered into an I-SPY 2 trial. Additional criteria were a tumor size larger than 2.5 cm, adequate organ function as measured by a Performance Status (PS) score <2 (Eastern Cooperative Oncology Group scale; Oken et al., 1982. Am J Clin Oncol 5: 649-655), agreement to undergo MRI analyses and surgery following chemotherapy, and consent to analysis of biopsy samples.


A total of 299 MammaPrint High Risk patients were randomized as controls and treated with standard chemotherapy: First paclitaxel 80 mg/m2 every week for 12 weeks, followed by doxorubicin (60 mg/m2) and cyclophosphamide (600 mg/m2) for 4 cycles every 3 weeks.


A total of 73 MammaPrint High Risk patients were concurrently randomized to receive a combination of duvalumab and olaparib, in addition to paclitaxel 80 mg/m2 every week for 12 weeks, followed by doxorubicin (60 mg/m2) and cyclophosphamide (600 mg/m2) for 4 cycles every 3 weeks. Specifically, duvalumab 1500 mg was administered every 4 weeks for a total of 3 cycles; olaparib 100 mg was administered twice daily in the first 12 weeks.


The MammaPrint high risk group was further divided into 2 groups by taking the median MammaPrint index of the high risk samples (MP1 and MP2). MammaPrint high risk group 2 (MP2) is defined as having a MammaPrint index higher than the median value, while MP1 is defined as having a MammaPrint index lower than the median value (Wolf et al., 2017. NPJ Breast Cancer 3: 1-9). In total 209 patients were analyzed, 132 HR+HER2− patients were classified as MP1 of which 24 were randomized to the Duvalumab/Olaparib arm and 108 to the control arm. The remaining 77 HR+HER2− patients were classified as MP2. 28 of the MP2 patients were randomized to the Duvalumab/Olaparib arm and 49 to the control arm.


Patient and baseline clinical characteristics, ethnicity, HR status, tumor size and nodal status (see Table 3), were similar between the experimental and control arms.


The primary endpoint was pathologic complete response @CR), i.e., no invasive cancer left in the breast or lymph nodes. Hormone receptor (HR; progesterone and estradiol receptor) status and HER2 status were determined by molecular subtyping (e.g. BluePrint; Krijgsman et al., 2012. Breast Cancer Res Treat 133: 37-47; Mittempergher et al., 2020. Transl Oncol. 13: 100756); immunohistochemistry and/or fluorescent in situ hybridization.


Patients who received non-protocol therapy, left their treating institution, or withdrew consent prior to surgery were considered non-pCR as per protocol.


Results

MammaPrint high risk classification associated with response in the Duvalumab/Olaparib arm in in Her2 negative subtype, but not in the control. Bayesian modeling (Gelman et al., 2019. J American Statistician 73: 307-309) was used to estimate the pCR probabilities to Duvalumab/Olaparib and standard chemotherapy in the HER2 negative subset. This was performed similar to the I-SPY 2 primary efficacy analysis (Barker et al., 2009. Clin Pharmacol Therapeutics 86: 97-100). As shown in FIG. 1 and Table 4, estimated pCR probability in the Duvalumab/Olaparib arm is 37% vs. 20% in the control arm.









TABLE 3







Patient characteristics.












Durvalumab/





Olaparib
Control


Patient characteristics

(n = 73)
(n = 299)














Median Age, yrs (range)
46
(28-71)
48
(24-80)







Race, n (%)











White
59
(81%)
234
(78%)


African America
8
(11%)
40
(13%)


Asian
6
(8%)
22
(7%)


Other
0
(0%)
3
(1%)







HR status, n (%)











Positive
52
(71%)
157
(53%)


Negative
21
(29%)
142
(47%)


Median tumor size by MR, cm
3.7
(1.9-13)
3.8
(1.2-15)


(range)







Palpable nodes, n (%)











Yes
21
(29%)
109
(36%)


No
19
(26%)
129
(43%)


Missing
33
(45%)
61
(20%)









The Her2 negative subtype was further analyzed for hormone positive and hormone negative subtypes. MammaPrint High Risk classification in the Hormone negative and in the HER2 negative subgroup associated with response in the Duvalumab/Olaparib arm, but not in the control. Similarly, in the Hormone positive, HER2 negative, subtype, MammaPrint High Risk classification associated with response in the Duvalumab/Olaparib arm, but not in the control group.


Bayesian modeling was also used to estimate the pCR probabilities to Duvalumab/Olaparib and standard chemotherapy in the Hormone negative, HER2 negative subtype (HR−Her2−). As is shown in FIG. 1 and Table 4, this probability is 47% vs. 27% and the probability is 28% in the Hormone positive, HER2 negative subtype (HR+/HER2−) versus 14% in the control group.


Table 4 shows the probability of Duvalumab/Olaparib demonstrating superiority to control in a 1:1 randomized neoadjuvant phase 3 trial of 300 biomarker predicted-sensitive patients. These probabilities are >98% (99.9% for MammaPrint High Risk in Her2 negative subgroup, 98.4% for MammaPrint high risk in the HR−/Her2− subtype, 99.6% for MammaPrint High risk in the HR+/Her2-subtype).


The predictive probability for success in a randomized phase 3 trial is 81.4% in the HER2 negative subtype, 80.6 in the Her2negative/hormone negative subtype and 74.5% in the Hormone positive/HER2negative subtype.









TABLE 4







pCR scores and probability of Duvalumab/Olaparib versus control.









Predicted



probability











Estimated pCR rate

of success



(95% probability interval
Probability
in 300 patient












Duvalumab/

superior to
randomized


Signature
Olaparib
Control
control
trial














HER2−
0.367
0.201
0.999
0.814



(0.27-0.47)
(0.16-0.25)


TNBC
0.466
0.267
0.984
0.806



(0.29-0.64)
(0.20-0.34)


HR+/HER2−
0.282
0.143
0.996
0.745



(0.18-0.38)
(0.09-0.19)









Residual Cancer Burden (RCB) after neoadjuvant chemotherapy has been shown to be an accurate long-term predictor of disease recurrence and survival across all breast cancer subtypes (Symmans et al., 2007. J Clin Oncol 24: 536). In addition to complete response, RCB is reduced in patients that were MammaPrint high risk and treated with Duvalumab/Olaparib. RCB shifted to lower values across all RCB categories in all subtypes, except RCBIII in HR−/HER2− subtype (FIG. 2).


MammaPrint high risk 2 group (MP2) drives the benefit of Duvalumab/Olaparib in the HR+HER2− subtype (FIG. 3). In HR+HER2− subtypes, MP2 associated with response in the Duvalumab/Olaparib, but not in the control groups, nor in the MP1 group. Bayesian modeling was performed to estimate the pCR probabilities to Duvalumab/Olaparib treatment and to standard chemotherapy. As shown in FIG. 1, estimated pCR probability for patients classified as MammaPrint High risk 2 group (MP2) in the Duvalumab/Olaparib arm is 64% vs. 22% in the control arm. Patients classified as MP1 did not show any benefit from Duvalumab/Olaparib treatment in addition to standard chemotherapy (p CR probability 9% vs 10% in the control group).


The probability of MP2 patients treated with Duvalumab/Olaparib demonstrating superiority to control in a 1:1 randomized neoadjuvant phase 3 trial of 300 biomarker predicted-sensitive patients was calculated. These probabilities are 99.9% for MammaPrint High Risk2 (MP2) in HR+HER2− subgroup, and 33.1% in the MP1 subgroup (FIG. 3). The predictive probability for success in a randomized phase 3 trial is 99.6% in the MP2 group, and only 8.5% in the MP1 group. These numbers indicate that MP2 is driving the benefit of Duvalumab/Olaparib.

Claims
  • 1-15. (canceled)
  • 16. A method of treating an individual, comprising administering to an individual with human epidermal growth factor receptor 2 (HER2) negative, MammaPrint high risk 2 (MP2) breast cancer, a poly [ADP-ribose] polymerase (PARP) inhibitor, an immune check point inhibitor, or a combination of a PARP inhibitor and an immune check point inhibitor.
  • 17. The method of claim 16, wherein the PARP inhibitor is selected from the group consisting of olaparib, rucaparib, pamiparib, niraparib and talazoparib.
  • 18. The method of claim 16, wherein the immune check point inhibitor is selected from the group consisting of tremelimumab, pembrolizumab, nivolumab, pidilizumab, cemiplimab, atezolizumab, avelumab and durvalumab.
  • 19. The method of claim 16, comprising administering to the individual a combination of a PARP inhibitor and an immune check point inhibitor.
  • 20. The method of claim 19, wherein the PARP inhibitor is administrated simultaneously with, separately from, or sequentially to the immune check point inhibitor.
  • 21. The method of claim 16, wherein the method further comprises administering a taxane.
  • 22. The method of claim 16, wherein the method further comprises administering a taxane selected from the group consisting of paclitaxel, docetaxel, and cabazitaxel.
  • 23. The method of claim 16, wherein the individual has a HER2 negative, ER positive breast cancer.
  • 24. The method of claim 16, wherein the HER2 status is determined by TargetPrint or by BluePrint.
  • 25. A pharmaceutical composition comprising a PARP inhibitor and an immune check point inhibitor.
  • 26. The pharmaceutical composition according to claim 25, wherein the PARP inhibitor is selected from the group consisting of olaparib, rucaparib, pamiparib, niraparib and talazoparib.
  • 27. The pharmaceutical composition according to claim 25, wherein the immune check point inhibitor is selected from from the group consisting of tremelimumab, pembrolizumab, nivolumab, pidilizumab, cemiplimab, atezolizumab, avelumab and durvalumab.
  • 28. The pharmaceutical composition according to claim 25, further comprising a taxane.
  • 29. The pharmaceutical composition according to claim 25, further comprising a taxane selected from the group consisting of paclitaxel, docetaxel, and cabazitaxel.
Priority Claims (1)
Number Date Country Kind
20171467.2 Apr 2020 EP regional
CROSS-REFERENCE TO RELATED APPLICATIONS

This application is a U.S. National Phase application of International Application No. PCT/NL2021/050275, filed Apr. 26, 2021, which claims priority to European Patent application number EP 20171467.2, filed Apr. 27, 2020, the disclosures of which are incorporated herein by reference in their entireties.

PCT Information
Filing Document Filing Date Country Kind
PCT/NL2021/050275 4/26/2021 WO