BIOMARKERS FOR USE IN INTEGRIN THERAPY APPLICATIONS

Abstract
The present invention relates to biomarkers for use in determining the sensitivity of patients to therapy with αvβ6 integrin inhibition or therapy with TGF-β pathway inhibitors. The biomarker profiles disclosed herein provide individualized gene and protein profiles which will aid in treating diseases and disorders which are amenable to treatment with therapies designed against αvβ6-integrin and/or TGF-β pathway inhibitors.
Description
FIELD OF THE INVENTION

The present invention relates generally to the field of pharmacogenomics, and more specifically to methods and procedures to determine drug sensitivity in patients to allow the identification of individualized genetic profiles which will aid in treating diseases and disorders which are amenable to treatment with therapies designed against αvβ6-integrin.


BACKGROUND OF THE INVENTION

It is increasingly being realized that there is no “one-size fits all” therapy for the treatment of complex multifactorial diseases. While modern medicaments save millions of lives a year, it is well understood that any particular medication or treatment regimen may not work in a particular individual or may cause severe side effects in one individual but be adequate for the treatment of the same disorder in another individual. This has led to an ever increasing interest in pharmacogenomics as a mechanism by which to provide personalized medicine tailored to a specific individual's disease. Although conventional histological and clinical features are increasingly used to correlate with prognosis, there remains a need for providing more specific parameters by which to determine responsiveness to therapy and consequent survival of the patient.


New prognostic and predictive markers, which would facilitate an individualization of therapy for each patient, are needed to accurately predict patient response to treatments. This is particularly the case in the use of biological molecule drugs, in the clinic. The problem may be addressed by clearly identifying predictive parameters that could be used to assess a patient's sensitivity to a particular treatment regimen. The classification samples can lend a great deal of certainty to diagnosis and treatment for a specific condition and patient. By correlating molecular and genetic markers with a patient's response to a treatment, it is possible to develop new treatments in non-responding patients, to tailor the treatment regimen for the specific patient or distinguish a treatment's indication among other treatment choices because of higher confidence in the efficacy. In addition, the availability of specific biomarkers for a particular disorder will allow pre-selection of patients clinical intervention.


There are numerous microarray technologies that readily allow for the large scale characterization of gene expression patterns. Such molecular tools have made it possible to monitor the expression level of a large number of transcripts from a biological sample. Numerous studies have demonstrated that gene expression information generated by microarray analysis of human disease can predict clinical outcome. These findings bring hope that cancer treatment will be vastly improved by better predicting the response of individual tumors to therapy. Similar tactics can be employed with other disorders. Despite this promise, markers still need to be identified for their predictive value for response to a particular therapeutic regimen.


Tissue fibrosis is a pathological process characterized by the replacement of diseased tissue with excess extracellular matrix, leading to organ scarring and failure. It is a progressive process that that is promoted by epithelial injury, fibroblast activation, inflammation, and reorganization of cellular interactions with the extracellular matrix (ECM). There is a strong rationale for targeting the TGF-β pathway as a means of inhibiting fibrosis. This cytokine is central to the initiation and maintenance of fibrosis and it has been shown in a variety of tissues that blocking this pathway provides potent anti-fibrotic effects.


TGF-β is secreted as an inactive latent complex requiring activation prior to engaging its cognate receptors. A critical regulator of TGF-β activation is the αvβ6 integrin, which binds to the N-terminal region of this cytokine converting it to an activated form. αvβ6 is expressed at low or undetectable levels on normal tissue but is highly up-regulated on epithelial cells during tissue injury and fibrosis. αvβ6 has been found to be most prominently up-regulated in the kidney, lung, liver, and skin inducing tissue specific activation of TGF-β. Several studies have clearly demonstrated that blocking αvβ6 function provides potent anti-fibrotic activity by interfering with TGF-β activation and downstream signaling events.


It is proposed that the that one can monitor the response to anti-αvβ6 antibody treatment by monitoring genes that are differentially expressed in mammalian cells, tissue, or body fluids as a result of treatment with such antibodies. Likewise, we propose that one can also monitor response to anti-αvβ6 antibody treatment by monitoring protein expression changes (including post-translational modifications such as phosphorylation) in mammalian cells, tissue, or body fluids as a result of treatment with such antibodies. Transcriptional changes in gene expression, and changes in protein expression, have the potential to be used as markers of disease progression in humans and for monitoring the effectiveness of therapeutic intervention.


Despite the studies in the field that show that biomarkers would be useful for providing specific information regarding therapeutic intervention of various diseases, there still remains the need to identify specific diagnostic marker panels that allow for the tailored approach to therapy of a particular disease. There is also the need to identify biomarkers that are predictive of response to anti-fibrotic agents. The present invention is related to new methods and procedures for use in identifying patients that are responders to particular therapy to allow the development of individualized genetic profiles which are necessary to treat diseases and disorders involving intervention with an anti-αvβ6-integrin antibody based on patient response at a molecular level. This invention is also related to identifying biomarkers that can be used to monitor the response to anti-fibrotic agents and may be predictive of a clinical response to these agents.


BRIEF SUMMARY OF THE INVENTION

The present invention identifies biomarkers that are useful in αvβ6-integrin-directed therapy.


In a first aspect, the disclosure features a method for predicting whether a human subject who has an αvβ6-mediated disorder will respond to treatment with an αvβ6-integrin inhibitor. The method involves providing a biological sample obtained from the human subject after administration of the αvβ6-integrin inhibitor and measuring the expression level of a gene or protein from Table 1 or a gene or protein from Table 2 in the biological sample. An increase in the expression level of the gene or protein from Table 1 relative to a control expression level or a decrease in the expression level of the gene or protein from Table 2 relative to a control expression level after administration of the αvβ6 integrin inhibitor, predicts that the human subject will have a clinical response, or has an increased likelihood of a clinical response, to treatment with the αvβ6-integrin inhibitor. In certain embodiments, the method further involves determining the phosphorylation status of SMAD2 protein in the biological sample. A decrease in the phosphorylation status of SMAD2 protein after administration of the αvβ6 integrin inhibitor compared to a control level is a further predictor that the human subject will have a clinical response, or has an increased likelihood of a clinical response, to treatment with the αvβ6-integrin inhibitor. In certain embodiments, the method further involves determining the expression level (e.g., mRNA, protein) in peripheral blood or bronchoalveolar lavage of one or more (e.g., one, two, three, four, five, six, seven) serum biomarkers such as, but not limited to, tissue remodeling markers (e.g., metalloproteinase 7 (MMP-7), osteopontin (OPN)); TGF-β inducible proteins (e.g., tissue inhibitor of metalloproteinase 1 (TIMP-1), collagen type 1alpha1 (Col1A1)); and epithelial injury markers (e.g., surfactant A (SP-A), alpha defensins (DEFA1-3)). A decrease in the expression level (e.g., mRNA, protein) of one or more of the above serum biomarkers in peripheral blood is a further predictor that the human subject will have a clinical response, or has an increased likelihood of a clinical response, to treatment with the αvβ6-integrin inhibitor. In certain embodiments, the method comprises measuring any combination of at least 6 genes or proteins from Table 1, Table 2, or Tables 1 and 2. In some embodiments, a decrease in the expression level of at least one of: arachidonate 5-lipoxygenase 5 (ALOX5), fibronectin (FN1), oxidized low density lipoprotein receptor 1 (OLR1), plasminogen activator inhibitor-1 (PAI-1 also known as SERPINE1), transglutaminase 2 (TGM2), or triggering receptor expressed on myeloid cells 1 (TREM1) after administration of the αvβ6 integrin inhibitor in the biological sample is measured and predicts that the human subject will have a clinical response, or has an increased likelihood of a clinical response, to treatment with the αvβ6-integrin inhibitor. In some embodiments, the method further comprises administering to the human subject who is predicted to have a clinical response, or have an increased likelihood of a clinical response, a therapeutically effective amount of an αvβ6-integrin inhibitor.


In a second aspect, the disclosure provides a method for predicting whether a human subject who has an αvβ6-mediated disorder will respond to treatment with an αvβ6-integrin inhibitor. The method involves providing a biological sample obtained from the human subject before treatment with an αvβ6-integrin inhibitor and measuring the expression level of a gene or protein from Table 1 or Table 2 relative to a predicted control level (e.g., compare the expression level to a predicted normal value or range of values). Subjects with decreased expression of the gene or the protein from Table 1, or increased expression of the gene or the protein from Table 2, relative to a predicted control level are predicted to have a clinical response, or have an increased likelihood of a clinical response, to treatment with the αvβ6-integrin inhibitor. In certain embodiments, the method further involves determining the phosphorylation status of SMAD2 protein in the biological sample. An increase in the phosphorylation status of SMAD2 protein relative a control level is a further predictor that the human subject will have a clinical response, or has an increased likelihood of a clinical response, to treatment with the αvβ6-integrin inhibitor. In certain embodiments, the method further involves determining the expression level (e.g., mRNA, protein) in peripheral blood or bronchoalveolar lavage of one or more (e.g., one, two, three, four, five, six, seven) serum biomarkers such as, but not limited to, tissue remodeling markers (e.g., metalloproteinase 7 (MMP-7), osteopontin (OPN)); TGF-β inducible proteins (e.g., tissue inhibitor of metalloproteinase 1 (TIMP-1), collagen type 1alpha1 (Col1A1)); and epithelial injury markers (e.g., surfactant A (SP-A), alpha defensins (DEFA1-3)). An increase in the expression level (e.g., mRNA, protein) of one or more of the above serum biomarkers in peripheral blood is a further predictor that the human subject will have a clinical response, or has an increased likelihood of a clinical response, to treatment with the αvβ6-integrin inhibitor. In certain embodiments, the method comprises measuring any combination of at least 6 genes or proteins from Table 1, Table 2, or Tables 1 and 2. In some embodiments, an increase in the expression level (e.g., mRNA or protein) of at least one of: arachidonate 5-lipoxygenase 5 (ALOX5), fibronectin (FN1), oxidized low density lipoprotein receptor 1 (OLR1), plasminogen activator inhibitor-1 (PAI-1 also known as SERPINE1), transglutaminase 2 (TGM2), or triggering receptor expressed on myeloid cells 1 (TREM1) in the biological sample is measured and predicts that the human subject will have a clinical response, or has an increased likelihood of a clinical response, to treatment with the αvβ6-integrin inhibitor. In some embodiments, the method further comprises administering to the human subject who is predicted to have a clinical response, or have an increased likelihood of a clinical response, a therapeutically effective amount of an αvβ6-integrin inhibitor.


In a third aspect, the disclosure features a method for predicting responsiveness of a human subject to treatment with an inhibitor of a TGF-β-signaling pathway. The method involves measuring the expression level of a gene or protein from Table 1 or a gene or protein from Table 2 in a first biological sample obtained from the human subject, then administering the inhibitor of a TGF-β-signaling pathway to the human subject, and finally measuring the expression level of the gene or protein from Table 1 or the gene or protein from Table 2 in a second biological sample obtained from the human subject. An increase in the level of expression of the gene or protein from Table 1 or a decrease in the level of expression of the gene or protein from Table 2 in the second biological sample compared to the level of expression of the gene or protein measured in the first biological sample predicts that the human subject will have a clinical response, or has an increased likelihood of having a clinical response, to treatment with the inhibitor of the TGF-β-signaling pathway. In some embodiments, the method comprises measuring any combination of at least 6 genes or proteins from Table 1, Table 2, or Tables 1 and 2. In some embodiments, a decrease in the expression level (e.g., mRNA or protein) of at least one of: arachidonate 5-lipoxygenase 5 (ALOX5), fibronectin (FN1), oxidized low density lipoprotein receptor 1 (OLR1), plasminogen activator inhibitor-1 (PAI-1 or SERPINE1), transglutaminase 2 (TGM2), or triggering receptor expressed on myeloid cells 1 (TREM1) in the biological sample is measured and predicts that the human subject will have a clinical response, or has an increased likelihood of having a clinical response, to treatment with the inhibitor of a TGF-β-signaling pathway. In certain embodiments, the method further involves determining the phosphorylation status of SMAD2 protein in the first and second biological samples. A decrease in the phosphorylation status of SMAD2 protein in the second biological sample compared to the first biological sample is a further predictor that the human subject will respond, or has an increased likelihood of responding, to treatment with the inhibitor of a TGF-β-signaling pathway. In certain embodiments, the method further involves determining the expression level (e.g., mRNA, protein) in peripheral blood or bronchoalveolar lavage of one or more (e.g., one, two, three, four, five, six, seven) serum biomarkers such as, but not limited to, tissue remodeling markers (e.g., metalloproteinase 7 (MMP-7), osteopontin (OPN)); TGF-β inducible proteins (e.g., tissue inhibitor of metalloproteinase 1 (TIMP-1), collagen type 1alpha1 (Col1A1)); and epithelial injury markers (e.g., surfactant A (SP-A), alpha defensins (DEFA1-3)). A decrease in the expression level of one or more of the above serum biomarkers predicts that the human subject will have a clinical response, or has an increased likelihood of having a clinical response, to treatment with the inhibitor of a TGF-β-signaling pathway.


In a fourth aspect, the disclosure provides methods of treating an αvβ6-mediated disorder in a human subject in need thereof. The method comprises administering to the human subject a therapeutically effective amount of an αvβ6 integrin inhibitor, wherein the human subject has been identified as having at least one of: (i) a decreased expression level of a gene or protein from Table 1 in a biological sample obtained from the human subject prior to administration of the αvβ6 integrin inhibitor, compared to a control expression level; or (ii) an increased expression level of a gene or protein from Table 2 in a biological sample obtained from the human subject prior to administration of the αvβ6 integrin inhibitor, compared to a control expression level. Alternatively, the method comprises administering to the human subject a therapeutically effective amount of an αvβ6 integrin inhibitor, wherein the human subject has previously been administered the αvβ6 integrin inhibitor and has been identified as having at least one of: (i) an increased expression level of a gene or protein from Table 1 in a biological sample obtained from the human subject after the previous administration of the αvβ6 integrin inhibitor, compared to a control expression level; or (ii) a decreased expression level of a gene or protein from Table 2 in a biological sample obtained from the human subject after the previous administration of the αvβ6 integrin inhibitor, compared to a control expression level. In certain embodiments, the method involves measuring any combination of at least 6 genes or proteins from Table 1, Table 2, or Tables 1 and 2. In certain embodiments, the method further involves identifying that the human subject has a decrease in the phosphorylation status of SMAD2 protein after administration of the αvβ6 integrin inhibitor is a further predictor that the human subject will respond, or has an increased likelihood of responding, to treatment with the αvβ6-integrin inhibitor. In certain embodiments, the method involves determining the expression level (e.g., mRNA, protein) in peripheral blood or bronchoalveolar lavage of one or more (e.g., one, two, three, four, five, six, seven) serum biomarkers such as, but not limited to, tissue remodeling markers (e.g., metalloproteinase 7 (MMP-7), osteopontin (OPN)); TGF-β inducible proteins (e.g., tissue inhibitor of metalloproteinase 1 (TIMP-1), collagen type 1alpha1 (Col1A1)); and epithelial injury markers (e.g., surfactant A (SP-A), alpha defensins (DEFA1-3)) compared to a control expression level. In certain embodiments, the method comprises determining the expression level of at least one of: arachidonate 5-lipoxygenase 5 (ALOX5), fibronectin (FN1), oxidized low density lipoprotein receptor 1 (OLR1), plasminogen activator inhibitor-1 (PAI-1 also known as SERPINE1), transglutaminase 2 (TGM2), or triggering receptor expressed on myeloid cells 1 (TREM1) in the biological sample.


These embodiments relate to all of the above three aspects. In certain embodiments, the mRNA level of the gene is measured. In other embodiments, the expression level of the protein is measured. In certain embodiments, the biological sample is a bronchoalveolar lavage sample. In certain embodiments, the biological sample is a bronchoalveolar lavage fluid. In certain embodiments, the biological sample comprises bronchoalveolar lavage cells. In some embodiments, the biological sample is a tissue sample (e.g., lung tissue). In other embodiments, the biological sample is a bodily fluid sample (e.g., a blood sample, a serum sample, a plasma sample, a urine sample).


These embodiments relate to the first, second, and fourth aspects. In some embodiments, the αvβ6-mediated disorder is fibrosis, psoriasis, sclerosis, cancer, acute and chronic lung injury, acute and chronic renal injury, acute and chronic liver injury, scleroderma, transplant, or Alports Syndrome. In some embodiments, the αvβ6-mediated disorder is lung fibrosis or kidney fibrosis. In one embodiment, the αvβ6-mediated disorder is interstitial lung disease with usual interstitial pneumonia (UIP). In certain embodiments, the αvβ6-mediated disorder is idiopathic pulmonary fibrosis, radiation induced fibrosis, bleomycin induced fibrosis, asbestos induced fibrosis, flu induced fibrosis, coagulation induced fibrosis, or vascular injury induced fibrosis. In one embodiment, the αvβ6-mediated disorder is acute lung injury. In another embodiment, the αvβ6-mediated disorder is acute kidney injury. In some embodiments, the αvβ6-mediated disorder is a cancer selected from the group consisting of a pancreatic cancer, a lung cancer, a breast cancer, a colorectal cancer, a head and neck cancer, an esophageal cancer, a skin cancer, a prostate cancer, and an endometrial cancer. In certain embodiments, the αvβ6-integrin inhibitor is an anti-αvβ6-integrin antibody. For example, the anti-αvβ6-integrin antibody can have the same CDRs as an antibody produced by a hybridoma selected from the group consisting of: 6.1A8 (ATCC accession number PTA-3647); hybridoma 6.3G9 (ATCC accession number PTA-3649); 6.8G6 (ATCC accession number PTA-3645); 6.2E5 (ATCC accession number PTA-3897); 6.2B1 (ATCC accession number PTA-3646); hybridoma 7.1G10 (ATCC accession number PTA-3898); 7.7G5 (ATCC accession number PTA-3899); and hybridoma 7.1C5 (ATCC accession number PTA-3900). In some embodiments, the anti-αvβ6-integrin antibody has the same CDRs as the antibody produced by the hybridoma deposited as 6.3G9 (ATCC accession number PTA-3649), except that the light chain CDR 1 contains an asparagine to serine substitution such that the light chain CDR 1 sequence is the sequence of SASSSVSSSYLY (SEQ ID NO:1196). In certain embodiments, the anti-αvβ6-integrin antibody comprises a heavy chain variable region comprising the amino acid sequence set forth in SEQ ID NO: 1210. In a specific embodiment, the anti-αvβ6-integrin antibody further comprises a light chain variable region comprising the amino acid sequence set forth in SEQ ID NO: 1211.


The “control expression level” is the expression level of the gene or protein of interest prior to administration of the anti-αvβ6-integrin inhibitor, or a pre-determined cut-off value. A cut-off value is typically an expression level of a gene (or protein), or ratio of the expression level of a gene (or protein) with the expression level of another gene (or protein) (e.g., an internal control such as a housekeeping gene), above or below which is considered predictive of responsiveness of a subject to a treatment comprising anti-αvβ6-integrin inhibitor or a TGF-β pathway inhibitor. Thus, in accordance with the methods described herein, a reference expression level of a gene (e.g., a gene depicted in Table 1 or 2) is identified as a cut-off value, above or below of which is predictive of responsiveness to a therapy comprising anti-αvβ6-integrin inhibitor (or a TGF-β pathway inhibitor). Some cut-off values are not absolute in that clinical correlations can still remain significant over a range of values on either side of the cutoff; however, it is possible to select an optimal cut-off value (e.g. varying H-scores) of expression levels of genes for a particular sample types. Cut-off values determined for use in the methods described herein can be compared with, e.g., published ranges of expression levels but can be individualized to the methodology used and patient population. It is understood that improvements in optimal cut-off values could be determined depending on the sophistication of statistical methods used and on the number and source of samples used to determine reference level values for the different genes and sample types. Therefore, established cut-off values can be adjusted up or down, on the basis of periodic re-evaluations or changes in methodology or population distribution. The reference expression level of one or more genes (or proteins) can be determined by a variety of methods. The reference level can be determined by comparison of the expression level of a gene (or protein) of interest in, e.g., populations of subjects (e.g., patients) that are responsive to a therapy comprising anti-αvβ6-integrin inhibitor (or a TGF-β pathway inhibitor), or not responsive to this therapy. This can be accomplished, for example, by histogram analysis, in which an entire cohort of patients are graphically presented, wherein a first axis represents the expression level of a gene (or protein) and a second axis represents the number of subjects in the cohort whose sample contain one or more expression levels at a given amount. Determination of the reference expression level of a gene (or protein) can then be made based on an amount which best distinguishes these separate groups. The reference level can be a single number, equally applicable to every subject, or the reference level can vary, according to specific subpopulations of subjects. For example, older subjects can have a different reference level than younger subjects for the same αvβ6-mediated disorder. In addition, a subject with more advanced disease (e.g., a more advanced form of an αvβ6-mediated disorder) can have a different reference value than one with a milder form of the disease.


In a fifth aspect, the disclosure features a biomarker panel comprising a probe for each of ALOX5, FN1, OLR1, SERPINE1, TGM2, and TREM1 and no additional genes other than one or more of the genes listed in Table 1 and Table 2. In certain embodiments, the probe is a nucleotide probe. In some embodiments, the probe is a protein probe. In some embodiments, the probe is an antibody or an antigen-binding fragment thereof.


In some aspects, the invention provides a method for predicting clinical responsiveness to an anti-αvβ6-integrin antibody, a small molecule inhibitor of αvβ6-integrin, or a micrRNA or siRNA of αvβ6-integrin, in a mammal having a disease, wherein the method comprises:


a) measuring the mRNA expression or protein level of the biomarkers from Table 1 in a tissue, bodily fluid or cell sample from said mammal, wherein an increase in the expression of mRNA or protein level of said biomarkers from Table 1 relative to a predetermined expression mRNA or protein level of said biomarkers in such a tissue, bodily fluid, or cell sample in response to treatment with said antibody, small molecule, microRNA or siRNA predicts an increased likelihood the mammal will respond clinically to said method of treatment with said antibody, small molecule inhibitor, microRNA or siRNA; and/or


b) measuring the mRNA expression or protein level of biomarkers from Table 2 in a tissue, bodily fluid, or cell sample from said mammal, wherein a decrease in the expression of mRNA or protein level of said biomarker relative to a predetermined expression of mRNA or protein level of said biomarker in such a tissue, bodily fluid or cell sample in response to treatment with said antibody, small molecule, microRNA or siRNA predicts an increased likelihood the mammal will respond clinically to said method of treatment with said antibody, small molecule inhibitor, microRNA, or siRNA.


More specifically, the method may comprise measuring any combination of at least 6 genes from Tables 1 and 2.


In addition, it may also be desirable to include the further step of determining the phosphorylation status of SMAD2 protein in said sample, wherein a decrease in that phosphorylation status in response to administration of an αvβ6-integrin inhibitor is indicative of inhibition of TGFβ activity.


In specific embodiments, the methods further comprise the step of measuring the expression or protein level of at least one additional biomarker selected from Table 1, wherein an increase in expression of mRNA or protein level of said biomarker in cells, tissue, or bodily fluid in response to administering said antibody is indicative of an increased likelihood that the mammal will respond clinically to said therapy.


More particularly, the methods described herein at least comprise the determination of a decrease in expression of mRNA or protein level of at least one of ALOX5, FN1, OLR1, SERPINE1, TGM2, TREM1, ENPP1, IGSF2, or GPR82 in cells, tissue, or bodily fluid as being predictive of said mammal's response to said therapy. In one embodiment, the method comprises determining a decrease in expression of an mRNA or a protein level of at least one, at least two, at least three, at least four, at least five, or six of the following: ALOX5, FN1, OLR1, SERPINE1, TGM2, and, TREM1.


Also contemplated are methods of selecting a test subject as a candidate to receive treatment with an anti-αvβ6-integrin antibody or a small molecule inhibitor of αvβ6-integrin wherein the method comprises:


a) determining the expression of mRNA or protein level of a plurality of biomarkers from Table 1 and Table 2 in a cell, bodily fluid or tissue sample from a test subject to be treated with said anti-αvβ6-integrin antibody or a small molecule inhibitor of αvβ6-integrin and


b) comparing the expression of mRNA or protein level of the biomarkers from Table 1 and Table 2 obtained in step (a) with either (i) the expression of mRNA or protein level of those biomarkers in a healthy subject and/or (ii) the expression of mRNA or protein level of said biomarkers from a subject known to be responsive to said therapy; and


c) selecting the test subject as a candidate to receive said treatment if either (i) said subject has a decreased expression of mRNA or protein level of the biomarkers of Table 1 or an increased expression of mRNA or protein level of the biomarkers in Table 2 as compared to a healthy subject, or (ii) if said subject has expression of mRNA or protein level of the biomarkers comparable to the levels of those biomarkers in subjects known to have fibrosis that is responsive to said therapy.


Additional embodiments of methods of selecting a subject for the therapies as described herein may comprise determining the phosphorylation status of SMAD2 protein in said sample, wherein an elevated level of SMAD2 phosphorylation status as compared to the SMAD2 phosphorylation status of healthy subjects is indicative that said subject will be responsive to said therapy.


In exemplary embodiments, the methods comprise measuring any combination of at least 6 biomarkers from Tables 1 and 2. In additional embodiments, the methods further comprise the step of measuring the expression of mRNA or protein level of at least one additional biomarker selected from Table 1, wherein a decrease in expression of mRNA or protein level of said biomarker in cells, tissue, or bodily fluid of said test subject as compared to a healthy subject is indicative that said subject will be responsive to said therapy. More specifically, in such methods of selecting a candidate for therapy, the methods involve monitoring the increase in expression of mRNA or protein level of at least one of ALOX5, FN1, OLR1, SERPINE1, TGM2, TREM1, ENPP1, IGSF2, or GPR82 in cells, tissue, or bodily fluid, which if measured as compared to the level of expression of said genes in said subject is indicative that said subject will be responsive to said therapy. In one embodiment, in such methods of selecting a candidate for therapy, the methods involve monitoring the increase in expression of an mRNA or a protein level of at least one, at least two, at least three, at least four, at least five, or all six of: ALOX5, FN1, OLR1, SERPINE1, TGM2, or TREM1.


In the methods described herein a particularly preferred sample is a bronchoalveolar lavage sample.


In other embodiments, the sample is a tissue sample.


In still other embodiments, the sample is a blood sample.


In still other embodiments, the sample is a bodily fluid (e.g., blood, serum, plasma, or urine).


The subject being treated or selected is preferably a subject having or suspected of having a disorder selected from the group consisting of fibrosis, psoriasis, sclerosis, cancer, acute and chronic lung injury, acute and chronic renal injury, acute and chronic liver injury, scleroderma, transplant or Alports Syndrome. In one embodiment, the subject has or is suspected of having lung fibrosis. In a particular embodiment, the subject has or is suspected of having idiopathic pulmonary fibrosis (IPF). In one embodiment, the subject has or is suspected of having kidney fibrosis. In another embodiment, the subject has or is suspected of having liver fibrosis. In another embodiment, the subject has or is suspected of having flu induced fibrosis, coagulation induced fibrosis, or vascular injury induced fibrosis. In one embodiment, the subject has or is suspected of having acute lung injury. In one embodiment, the subject has or is suspected of having acute kidney injury. In one embodiment, the subject has or suspected of having one of: a pancreatic cancer, a lung cancer, a breast cancer, a colorectal cancer, a head and neck cancer, an esophageal cancer, a skin cancer, a prostate cancer, or an endometrial cancer.


In preferred embodiments of predicting the responsiveness of a subject to therapy, the methods involve the step of measuring at least one additional biomarker selected from Table 2, wherein a decrease in expression of mRNA or protein level of said biomarker in cells, tissue, or bodily fluid in response to administering said αvβ6 inhibitor is indicative of an increased likelihood that the mammal will respond clinically to said therapy. Alternatively, or in addition, the method may further comprise the step of measuring at least one additional biomarker selected from Table 1, wherein an increase in expression of mRNA or protein level of said biomarker in cells, tissue, or bodily fluid in response to administering said antibody is indicative of an increased likelihood that the mammal will respond clinically to said therapy.


In preferred embodiments of selecting a candidate for therapy, the methods may further comprise the step of measuring at least one additional biomarker selected from Table 2, wherein an increase in expression of mRNA or protein level of said biomarker in cells, tissue, or bodily fluid as compared to the expression of said biomarker in a healthy subject is indicative of an increased likelihood that the subject will respond clinically to said therapy. Alternatively, or in addition, the methods may further comprising the step of measuring at least one additional biomarker selected from Table 1, wherein a decrease in expression of mRNA or protein level of said biomarker in cells, tissue, or bodily fluid as compared to the expression of said biomarker in a healthy subject is indicative of an increased likelihood that the subject will respond clinically to said therapy.


In embodiments in which the subject has lung fibrosis, the disease may be selected from the group consisting of idiopathic pulmonary fibrosis, radiation induced fibrosis, chronic obstructive pulmonary disease (COPD), scleroderma, bleomycin induced fibrosis, chronic asthma, silicosis, asbestos induced fibrosis, acute lung injury, and acute respiratory distress.


In embodiments, wherein the subject has acute respiratory distress, the disease is selected from the group consisting of bacterial pneumonia induced acute respiratory distress, trauma induced acute respiratory distress, viral pneumonia induced acute respiratory distress, ventilator induced acute respiratory distress, non-pulmonary sepsis induced acute respiratory distress, aspiration induced acute respiratory distress, and interstitial lung disease with usual interstitial pneumonia (UIP).


The subject may be any mammal including, e.g., a mammal selected from the group consisting of: human, rat, mouse, dog, rabbit, pig, sheep, cow, horse, cat, primate, and monkey.


In the methods described herein the therapy may be with an antibody, wherein said antibody is selected from the group consisting of a monoclonal, polyclonal or single chain antibody.


In exemplary embodiments, the antibody has the same CDRs as a murine antibody produced by hybridoma 6.1A8 (ATCC accession number PTA-3647); hybridoma 6.3G9 (ATCC accession number PTA-3649); 6.8G6 (ATCC accession number PTA-3645); hybridoma 6.2B1 (ATCC accession number PTA-3646); hybridoma 7.1G10 (ATCC accession number PTA-3898); 7.7G5 (ATCC accession number PTA-3899); hybridoma 2E5 (ATCC accession number PTA-3897); or hybridoma 7.1C5 (ATCC accession number PTA-3900).


More specifically, the antibody has the same CDRs as murine antibody deposited as hybridoma 6.3G9 (ATCC accession number PTA-3649).


In some embodiments, the antibody has CDRs having three or fewer, two or fewer, or one amino acid substitution(s) in CDR 1 and/or CDR2, and/or CDR3 of a murine antibody produced by hybridoma 6.1A8 (ATCC accession number PTA-3647); hybridoma 6.3G9 (ATCC accession number PTA-3649); 6.8G6 (ATCC accession number PTA-3645); hybridoma 6.2B1 (ATCC accession number PTA-3646); hybridoma 7.1G10 (ATCC accession number PTA-3898); 7.7G5 (ATCC accession number PTA-3899); hybridoma 2E5 (ATCC accession number PTA-3897); or hybridoma 7.1C5 (ATCC accession number PTA-3900). In certain embodiments, the amino acid substitution(s) are conservative amino acid substitution(s).


In other embodiments, the antibody has the same CDRs as the murine antibody produced by hybridoma 6.3G9 (ATCC accession number PTA-3649) except that the light chain CDR 1 contains an asparagine to serine substitution such that the light chain CDR 1 sequence is the sequence of SASSSVSSSYLY (SEQ ID NO: 1196).


In still other embodiments, the antibody has:


a) a heavy chain sequence comprising the sequence of GFTFSRYVMS (SEQ ID NO: 1178) as heavy chain CDR 1, SISSGGRMYYPDTVKG (SEQ ID NO:1185) as heavy chain CDR 2, and GSIYDGYYVFPY (SEQ ID NO: 1191) as heavy chain CDR 3;


b) a light chain sequence comprising the sequence of SANSSVSSSYLY (SEQ ID NO: 1197) or SASSSVSSSYLY (SEQ ID NO:1196) as light chain CDR 1, STSNLAS (SEQ ID NO:1202) as light chain CDR 2 and HQWSTYPPT (SEQ ID NO:1206) as light chain CDR 3.


In still further embodiments, the antibody is a humanized antibody, a chimeric antibody, a single chain antibody or an antibody construct that is capable of binding to and blocking αvβ6-integrin and comprises at least one heavy chain variable domain and one light chain variable domain comprising each of CDR 1, CDR 2, and CDR 3 from the light chain and heavy chain as follows:


a) a heavy chain sequence comprising the sequence of GFTFSRYVMS (SEQ ID NO: 1178) as heavy chain CDR 1, SISSGGRMYYPDTVKG (SEQ ID NO:1185) as heavy chain CDR 2, and GSIYDGYYVFPY (SEQ ID NO: 1191) as heavy chain CDR 3;


b) a light chain sequence comprising the sequence of SANSSVSSSYLY (SEQ ID NO: 1197) or SASSSVSSSYLY (SEQ ID NO: 1196) as light chain CDR 1, STSNLAS (SEQ ID NO:1202) as light chain CDR 2 and HQWSTYPPT (SEQ ID NO:1206) as light chain CDR 3.


In another embodiment, the antibody can bind to and/or block αvβ6-integrin and comprises a heavy chain variable region comprising an amino acid sequence having 85%, 86%, 87%, 88%, 89% 90%, 91%, 92%, 93%, 94%, 95%, 96%, 97%, 98%, 99% or 100% identity to the amino acid sequence set forth in SEQ ID NO: 1210; and a light chain variable region comprising an amino acid sequence having 85%, 86%, 87%, 88%, 89% 90%, 91%, 92%, 93%, 94%, 95%, 96%, 97%, 98%, 99% or 100% identity to the amino acid sequence set forth in SEQ ID NO: 1211. In a specific embodiment, the antibody comprises a heavy chain variable region comprising the amino acid sequence set forth in SEQ ID NO: 1210 and a light chain variable region comprising the amino acid sequence set forth in SEQ ID NO: 1211.


In another embodiment, the antibody is a humanized antibody, a chimeric antibody, a single chain antibody or an antibody construct that is capable of binding to and blocking αvβ6-integrin and comprises at least one heavy chain variable domain and one light chain variable domain comprising each of CDR 1, CDR 2, and CDR 3 from the light chain and heavy chain as follows:


a) a heavy chain sequence comprising the sequence of SYTFTDYAMH (SEQ ID NO: 1176) as heavy chain CDR 1, VISTYYGNTNYNQKFKG (SEQ ID NO:1182) as heavy chain CDR 2, and GGLRRGDRPSLRYAMDY (SEQ ID NO: 1188) as heavy chain CDR 3;


b) a light chain sequence comprising the sequence of RASQSVSTSSYSYMY (SEQ ID NO: 1194) as light chain CDR 1, YASNLES (SEQ ID NO:1200) as light chain CDR 2 and QHNWEIPFT (SEQ ID NO:1203) as light chain CDR 3. In another embodiment, the antibody is a humanized antibody, a chimeric antibody, a single chain antibody or an antibody construct that is capable of binding to and blocking αvβ6-integrin and comprises at least one heavy chain variable domain and one light chain variable domain comprising each of CDR 1, CDR 2, and CDR 3 from the light chain and heavy chain of the antibody produced by hybridoma clone 2E5 (ATCC accession number PTA-3897).


In specific embodiments, the antibody therapy is administered at a dose of between 0.015 mg/kg/week to 10 mg/kg/week. More particularly, the dose is between 0.5 mg/kg/week and 5 mg/kg/week.


In other embodiments, the mammal is shown to have a serum concentration of level of at least 2500 μg/ml of said antibody.


Also contemplated is a method of predicting responsiveness to an αvβ6-integrin inhibitor in a mammal that has a fibrosis, wherein the method comprises:


(a) measuring the mRNA expression or protein level of biomarkers from Table 1 and Table 2 in a bronchoalveolar lavage (BAL) sample of said mammal;


(b) administering an anti-αvβ6-integrin antibody, a small molecule inhibitor of αvβ6-integrin, a siRNA inhibitor of β6-integrin expression, a miRNA inhibitor to inhibit β6-integrin expression, or a miRNA mimetic to inhibit β6-integrin expression to said mammal;


(c) following the administering step (b), measuring in a BAL sample of said mammal the mRNA expression or protein level of said biomarkers from Table 1 and Table 2,


wherein an increase in the expression of mRNA or protein level of the biomarkers of Table 1 and/or a decrease in the expression of mRNA or protein level of the biomarkers of Table 2 measured in step (c) compared to the level of said biomarkers measured in step (a) predicts an increased likelihood the mammal will respond clinically to said method of treating fibrosis. In certain embodiments, the anti-αvβ6-integrin antibody is an antibody comprising the heavy chain variable domain sequence set forth in SEQ ID NO:1210 and the light chain variable domain sequence set forth in SEQ ID NO:1211. In one embodiment, the fibrosis is lung fibrosis. In a specific embodiment, the fibrosis is IPF. In another embodiment, the fibrosis is kidney fibrosis. In another embodiment, the fibrosis is liver fibrosis.


Another method of the invention is for selecting a subject that has fibrosis as a candidate for therapy with an αvβ6-integrin inhibitor wherein the method comprises:


(a) measuring the mRNA expression or protein level of the biomarkers from Table 1 and Table 2 in a bronchoalveolar lavage (BAL) sample of said subject;


(b) comparing the mRNA expression or protein levels measured in step (a) with either (i) the expression of mRNA or protein level of those biomarkers in a healthy subject and/or (ii) with the expression of mRNA or protein level of those biomarkers from subjects known to have fibrosis that is responsive to said therapy; and


c) selecting the test subject as a candidate to receive said treatment if said subject has either (i) a decreased expression mRNA or protein level of the biomarkers of Table 1 or an increased expression of mRNA or protein level of the biomarkers in Table 2 as compared to a healthy subject or (ii) if said subject has expression mRNA or protein level of the biomarkers comparable to the levels of those biomarkers in subjects known to have fibrosis that is responsive to said therapy.


In still additional embodiments, the present application contemplates a method for predicting responsiveness to an inhibitor of a TGFβ-signaling pathway in a mammal, wherein the method comprises:


(a) measuring the mRNA expression or protein level of biomarkers from Table 1 and Table 2 in a tissue, bodily fluid or cell sample of said mammal;


(b) administering said inhibitor of TGFβ signaling pathway;


(c) following the administering step (b), measuring in said sample of said mammal the mRNA expression or protein level of said biomarkers from Table 1 and Table 2,


wherein an increase in the level of expression of the markers of Table 1 and/or a decrease in the level of expression of the markers of Table 2 measured in step (c) compared to the level of said biomarkers measured in step (a) predicts an increased likelihood the mammal will respond clinically to said inhibitor of TGF3-signaling pathway.


Also contemplated herein is a method for selecting a treatment regimen for therapy with a αvβ6 integrin inhibitor in a subject, the method comprising:


a) assaying the subject for expression of mRNA or protein level of one or more biomarkers predictive of responsiveness to a αvβ6 integrin inhibitor for treatment of the disorder; and


b) selecting a treatment regimen with a αvβ6 integrin inhibitor based upon expression of mRNA or protein level of the one or more biomarkers in the subject.


A further aspect of the invention contemplates a method of treating a subject having a disorder with a αvβ6 integrin inhibitor, the method comprising:


a) assaying the subject for expression of mRNA or protein level of one or more biomarkers predictive of responsiveness to a αvβ6 integrin inhibitor for treatment of the disorder;


b) selecting a treatment regimen with a αvβ6 integrin inhibitor based upon expression of mRNA or protein level of the one or more biomarkers in the subject; and


c) administering the αvβ6 integrin inhibitor according to the treatment regimen such that the subject is treated for the disorder.


A further aspect of the invention describes a biomarker panel specifically for use in predicting the responsiveness of a subject to a particular therapeutic regimen, said biomarker panel comprising of at least ALOX5, FN1, OLR1, SERPINE1, TGM2, TREM1, ENPP1, IGSF2, and GPR82 and not more than the genes listed in Table 1 and Table 2 collectively. In one embodiment, the biomarker panel for use in predicting the responsiveness of a subject to a particular therapeutic regimen, comprises at least ALOX5, FN1, OLR1, SERPINE1, TGM2, and TREM1.





BRIEF DESCRIPTION OF THE DRAWINGS


FIG. 1 is a graphical representation of the expression of the ratio of phosphorylated SMAD2 (pSMAD2) protein relative to total SMAD2 protein in BAL cells isolated from cynomolgus monkeys after 8-weekly doses of STX-100 treatment relative to circulating levels of STX-100 in serum after the last (8th) weekly dose of antibody (area under the curve (AUC) ug*hr/ml). Data are shown for individual animals in vehicle and 0.1, 0.3, 1.0, 3.0, and 10 mg/kg STX-100 treatment groups. pSMAD2 and total SMAD2 levels were determined by ELISA analysis.



FIG. 2A is a graphical representation of the expression of ALOX5 mRNA in BAL cells isolated from cynomolgus monkeys after 8-weekly doses of STX-100 treatment relative to circulating levels of STX-100 in serum after the last (8th) weekly dose of antibody (area under the curve (AUC) ug*hr/ml). Data are shown for individual animals in vehicle and 0.1, 0.3, 1.0, 3.0, and 10 mg/kg STX-100 treatment groups. Gene expression was determined by Taqman® gene expression analysis.



FIG. 2B is a graphical representation of the expression of OLR1 mRNA in BAL cells isolated from cynomolgus monkeys after 8-weekly doses of STX-100 treatment relative to circulating levels of STX-100 in serum after the last (8th) weekly dose of antibody (area under the curve (AUC) ug*hr/ml). Data are shown for individual animals in vehicle and 0.1, 0.3, 1.0, 3.0, and 10 mg/kg STX-100 treatment groups. Gene expression was determined by Taqman® gene expression analysis.



FIG. 2C is a graphical representation of the expression of Serpinel mRNA in BAL cells isolated from cynomolgus monkeys after 8-weekly doses of STX-100 treatment relative to circulating levels of STX-100 in serum after the last (8th) weekly dose of antibody (area under the curve (AUC) ug*hr/ml). Data are shown for individual animals in vehicle and 0.1, 0.3, 1.0, 3.0, and 10 mg/kg STX-100 treatment groups. Gene expression was determined by Taqman® gene expression analysis.



FIG. 2D is a graphical representation of the expression of TGM2 mRNA in BAL cells isolated from cynomolgus monkeys after 8-weekly doses of STX-100 treatment relative to circulating levels of STX-100 in serum after the last (8th) weekly dose of antibody (area under the curve (AUC) ug*hr/ml). Data are shown for individual animals in vehicle and 0.1, 0.3, 1.0, 3.0, and 10 mg/kg STX-100 treatment groups. Gene expression was determined by Taqman® gene expression analysis.



FIG. 3 is a bar graph showing the expression level of Cathepsin L mRNA in mouse BAL macrophage cells following treatment with 3G9.



FIG. 4 is a bar graph showing the expression level of Legumain mRNA in mouse BAL macrophage cells following treatment with 3G9.



FIG. 5 is a bar graph showing the expression level of PAI-1 (also known as Serpinel) mRNA in mouse BAL macrophage cells following treatment with 3G9.



FIG. 6 is a bar graph showing the expression level of Osteopontin mRNA in mouse BAL macrophage cells following treatment with 3G9.



FIG. 7 is a bar graph showing the expression level of TREM-1 mRNA in mouse BAL macrophage cells following treatment with 3G9.



FIG. 8 is a bar graph showing the expression level of MMP-19 mRNA in mouse BAL macrophage cells following treatment with 3G9.



FIG. 9 is a bar graph showing the expression level of ALCAM mRNA in mouse BAL macrophage cells following treatment with 3G9.





DETAILED DESCRIPTION OF THE INVENTION

The identification of biomarkers that will provide rapid and accessible readouts of efficacy, drug exposure, or clinical response is increasingly important in the clinical development of drug candidates. In the present invention, the inventors have identified specific biomarkers that can be used to tailor therapy with an anti αvβ6-inhibitor such as an anti αvβ6-integrin antibody in the treatment of, for example lung injury. Embodiments of the invention include measuring changes in the expression levels of specific biomarkers that are responsive to treatment with an anti αvβ6-inhibitor such as an αvβ6-integrin antibody. In one aspect, bronchoalveolar lavage samples from subjects that are to be treated with the antibody are used for biomarker analysis.


This invention provides methods for predicting responsiveness to a αvβ6-integrin inhibitor in a subject suffering from a disorder, and methods for selecting a treatment regimen with an inhibitor of αvβ6-integrin, based on expression of particular biomarkers in the subject to be treated. The invention is based, at least in part, on the observation that altered expression of particular biomarkers in a subject suffering from lung fibrosis is associated with increased or decreased responsiveness to therapy with an anti-αvβ6-integrin antibody. Microarray analysis, and other nucleic acid analyses were used to examine normal subjects and subjects suffering from fibrosis, who were categorized as being responsive to treatment with an antibody (responders) or nonresponsive to treatment with an anti-αvβ6-integrin antibody (nonresponders). While the initial determination is made based on lung fibrosis models, it is contemplated that the markers may be useful in the treatment of other diseases, including but not limited to fibrosis, psoriasis, sclerosis, cancer, acute lung injury, renal injury, liver injury, scleroderma, transplant or Alports Syndrome, and the like. A list of additional diseases that may be treated include those listed in U.S. Pat. Nos. 7,465,449, 7,943,742, 8,153,126, and 7,927,590 each incorporated herein by reference in its entirety for the disclosure therein of disease states to be treated with αvβ6-integrin antibody related therapy.


A panel of genes were identified whose expression was altered (up-regulated (Table 1) or downregulated (Table 2)) in animals treated with the antibody, demonstrating the ability of these genes to act as biomarkers for predicting responsiveness to αvβ6-integrin inhibitor treatment. In particular, ALOX5, FN1, OLR1, SERPINE1, TGM2, TREM1, ENPP1, IGSF2, and GPR82 which are each down-regulated by administration of an anti-αvβ6 integrin specific antibody were identified as particularly useful in predicting the future response to αvβ6-integrin treatment. Accordingly, in specific embodiments, the expression pattern of one or more biomarkers which particularly include one or more, two, three, four, five, six, seven, eight, or nine of the above 9 genes (e.g., ALOX5, FN1, OLR1, SERPINE1, TGM2, and TREM1) can be assessed in subjects for which αvβ6-inhibitor therapy is being considered, or subjects suffering from other disorders amenable to modulation with αvβ6-integrin inhibition therapy, to thereby predict responsiveness of the subject to such therapy and/or to aid in the selection of an appropriate treatment regimen.


As used herein, the term “treatment regimen” is intended to refer to one or more parameters selected for the treatment of a subject, e.g., with a αvβ6 integrin inhibitor, which parameters can include, but are not necessarily limited to, the type of agent chosen for administration, the dosage, the formulation, the route of administration and the frequency of administration.


Using such tissue, cell, or fluid samples to assess gene expression before and after treatment with the anti-αvβ6-integrin antibody or small molecule inhibitor therapy, the inventors identified specific biomarkers that respond to anti-αvβ6-integrin therapy or small molecule inhibitor of αvβ6-integrin activity. These biomarkers can be employed for predicting response to one or more αvβ6-integrin modulators and indeed for modulating the effects of modulators of the TGFβ signaling pathway. In one aspect, the biomarkers of the invention are those provided in Table 1 and Table 2 and the Sequence Listing, including both polynucleotide and polypeptide sequences. The invention also includes nucleotide sequences that hybridize to the polynucleotides provided in Table 1 and Table 2. The biomarkers in Table 1 are those that were found to be up-regulated, or increased in response to administration of an anti-αvβ6-integrin antibody, and the biomarkers shown in Table 2 are downregulated or decreased in response to administration of an αvβ6-antibody.


The biomarkers have expression levels in cells that are highly correlated with sensitivity to anti-αvβ6-antibody exhibited by the cells. Hence, these biomarkers serve as useful molecular tools for predicting the likelihood of a response to inhibition of αvβ6-integrin activity, preferably with anti-αvβ6-integrin antibodies but may also be predictive of efficacy of small molecule inhibitors of αvβ6-integrin activity. As αvβ6-integrin activity has been shown to influence TGFβ signaling pathway, the biomarkers identified herein also will be useful in predicting efficacy of modulators of the TGFβ signaling pathway.


Furthermore, the biomarker expression patterns described herein also can be used in monitoring a disorder in a subject, e.g., monitoring the responsiveness of the subject to a particular therapy or assisting in the diagnosis or prognosis of the disorder (e.g., fibrosis) in the subject.


The term “predicting responsiveness to a αvβ6 integrin inhibitor”, as used herein, is intended to refer to an ability to assess the likelihood that treatment of a subject with a αvβ6 integrin inhibitor will or will not be effective in (e.g., provide a measurable benefit to) the subject. In particular, such an ability to assess the likelihood that treatment will or will not be effective typically is exercised before treatment with the αvβ6 integrin inhibitor is begun in the subject. However, it is also possible that such an ability to assess the likelihood that treatment will or will not be effective can be exercised after treatment has begun but before an indicator of effectiveness (e.g., an indicator of measurable benefit) has been observed in the subject. Thus, genes identified herein in Table 1 and Table 2 and their alterations (i.e., up-regulation or down-regulation) in response to such therapy will be useful as surrogate biomarkers for clinical efficacy of such therapy.


The term “αvβ6 integrin inhibitor” as used herein is intended to encompass agents including proteins, antibodies, antibody fragments, fusion proteins (e.g., Ig fusion proteins or Fc fusion proteins), small molecule αvβ6 integrin antagonists and similar naturally- or nonnaturally-occurring molecules, and/or recombinant and/or engineered forms thereof, that, directly or indirectly, inhibit αvβ6 integrin activity, such as by inhibiting interaction of αvβ6 integrin with a cell surface receptor for αvβ6 integrin, inhibiting αvβ6 integrin protein production, inhibiting αvβ6 integrin gene expression, inhibiting αvβ6 integrin secretion from cells, inhibiting αvβ6 integrin receptor signaling or any other means resulting in decreased αvβ6 integrin activity in a subject. The term “αvβ6 integrin inhibitor” also includes agents which interfere with αvβ6 integrin activity or expression. For example, particular αvβ6 integrin inhibitors may include nucleic acid or chemical based inhibitors of expression, such as for example, RNAi molecules, siRNA molecules, micro-RNA molecules (e.g., inhibitors of RNAs and mimetics of microRNA), as well as longer antisense nucleic acid molecules. Examples of αvβ6 integrin inhibitors include the antibodies described and disclosed in e.g., U.S. Pat. Nos. 7,465,449, 7,943,742, 8,153,126, and 7,927,590 each incorporated herein by reference in its entirety for the disclosure therein of specific antibodies and variants thereof, modulators of αvβ6 integrin activity, and related methods of production.


The term “antibody” as referred to herein includes whole antibodies and any antigen binding fragment (i.e., “antigen-binding portion”) or single chains thereof. An “antibody” refers to a glycoprotein comprising at least two heavy (H) chains and two light (L) chains inter-connected by disulfide bonds, or an antigen binding portion thereof. Each heavy chain is comprised of a heavy chain variable region (abbreviated herein as VH) and a heavy chain constant region. The heavy chain constant region is comprised of three domains, CH1, CH2 and CH3. Each light chain is comprised of a light chain variable region (abbreviated herein as VL) and a light chain constant region. The light chain constant region is comprised of one domain, CL. The VH and VL regions can be further subdivided into regions of hypervariability, termed complementarity determining regions (CDR), interspersed with regions that are more conserved, termed framework regions (FR). Each VH and VL is composed of three CDRs and four FRs, arranged from amino-terminus to carboxy-terminus in the following order: FR1, CDR1, FR2, CDR2, FR3, CDR3, FR4. The variable regions of the heavy and light chains contain a binding domain that interacts with an antigen. The constant regions of the antibodies may mediate the binding of the immunoglobulin to host tissues or factors, including various cells of the immune system (e.g., effector cells) and the first component (Clq) of the classical complement system. Preferred sequences for the CDRs of the antibodies for use in the present invention include those described in U.S. Pat. No. 7,465,449. For example, the CDR sequences are as follows:













TABLE A







Antibody
Amino Acid Sequence
SEQ ID NO



















Heavy Chain CDR1












8G6
SYTFTDYAMH
1176



1A8
SYTFTDYTMH
1177



2BI
GFTFSRYVMS
1178



3G9
GFTFSRYVMS
1178



2AI
GYDFNNDLIE
1180



2G2
GYAFTNYLIE
1181














Heavy Chain CDR2












8G6
VISTYYGNTNYNQKFKG
1182



1A8
VIDTYYGKTNYNQKFEG
1183



2BI
SISSG-GSTYYPDSVKG
1184



3G9
SISSG-GRMYYPDTVKG
1185



2AI
VINPGSGRTNYNEKFKG
1186



2G2
VISPGSGHNYNEKFKG
1187














Heavy Chain CDR3












8G6
GGLRRGDRPSLRYAMDY
1188



1A8
GGFRRGDRPSLRYAMDS
1189



2BI
GAIYDG-----YYVFAY
1190



3G9
GSIYDG-----YYVFPY
1191



2AI
IYYGPH-----SYAMDY
1192



2G2
ID-YSG-----PYAVDD
1193














Light Chain CDR 1












8G6
RASQSVSTSS-YSYMY
1194



1A8
RASQSVSIST-YSYIH
1195



2BI
SASSSVSSS-----YLY
1196



3G9
SANSSVSSS-----YLY
1197



2AI
KASLDVRTAVA
1198



2G2
KASQAVNTAVA
1199














Light Chain CDR 2












8G6
YASNLES
1200



1A8
YASNLES
1200



2BI
STSNLAS
1202



3G9
STSNLAS
1202



2AI
SASYRYT
1179



2G2
SASYQYT
1201














Light Chain CDR 3












8G6
QHNWEIPFT
1203



1A8
QHSWEIPYT
1204



2BI
HQWSSYPPT
1205



3G9
HQWSTYPPT
1206



2AI
QQHYGIPWT
1207



2G2
QHHYGVPWT
1208










In the above sequences, for the 8G6 heavy chain CDR 3 sequence, the sequence also may be modified in that the “R” in position 12 can for example be Q, such that the sequence is: GGLRRGDRPSLQYAMDY (SEQ ID NO:1209). Further it may be desirable in certain embodiments that the light chain CDR 1 sequence of the 3G9 antibody be modified to SASSSVSSSYLY (SEQ ID NO:1196).


The term “antigen-binding portion” of an antibody (or simply “antibody portion”), as used herein, refers to one or more fragments of an antibody that retain the ability to specifically bind to an antigen. It has been shown that the antigen-binding function of an antibody can be performed by fragments of a full-length antibody. Examples of binding fragments encompassed within the term “antigen-binding portion” of an antibody include (i) a Fab fragment, a monovalent fragment consisting of the VL, VH, CL and CH1 domains; (ii) a F(ab′) 2 fragment, a bivalent fragment comprising two Fab fragments linked by a disulfide bridge at the hinge region; (iii) a Fd fragment consisting of the VH and CH1 domains; (iv) a Fv fragment consisting of the VL and VH domains of a single arm of an antibody, (v) a dAb fragment, which consists of a VH domain; and (vi) an isolated complementarity determining region (CDR). Furthermore, although the two domains of the Fv fragment, VL and VH, are coded for by separate genes, they can be joined, using recombinant methods, by a synthetic linker that enables them to be made as a single protein chain in which the VL and VH regions pair to form monovalent molecules (known as single chain Fv (scFv). Such single chain antibodies are also intended to be encompassed within the term “antigen-binding portion” of an antibody. Also encompassed within the term “antigen-binding portion” of an antibody are sc(Fv)2 and diabodies. These antibody fragments are obtained using conventional techniques known to those with skill in the art, and the fragments are screened for utility in the same manner as are intact antibodies.


The terms “monoclonal antibody” or “monoclonal antibody composition” as used herein refer to a preparation of antibody molecules of single molecular composition. A monoclonal antibody composition displays a single binding specificity and affinity for a particular epitope.


The terms “chimeric antibody” or “chimeric monoclonal antibody” are intended to refer to antibodies in which the variable region sequences are derived from one species and the constant region sequences are derived from another species, such as an antibody in which the variable region sequences are derived from a mouse antibody and the constant region sequences are derived from a human antibody. Such “chimeric antibodies” can be prepared by standard recombinant technology well established in the art. For example, a nucleic acid encoding a VH region from a mouse antibody can be operatively linked to a nucleic acid encoding the heavy chain constant regions from a human antibody and, likewise, a nucleic acid encoding a VL region from a mouse antibody can be operatively linked to a nucleic acid encoding the light chain constant region from a human antibody.


The terms “humanized antibody” or “humanized monoclonal antibody” are intended to refer to antibodies in which CDR sequences derived from the germline of a non-human mammalian species, such as a mouse, have been grafted onto human framework sequences. Additional framework region modifications may be made within the human framework sequences. Such “humanized antibodies” can be prepared by standard recombinant technology well established in the art. For example, nucleic acids encoding the CDR1, CD2 and CDR3 regions from a VH region of a mouse antibody can be operatively linked to nucleic acids encoding the FR1, FR2, FR3 and FR4 regions of a human VH region, and the entire “CDR-grafted” VH region can be operatively linked to nucleic acid encoding the heavy chain constant regions from a human antibody. Likewise, nucleic acids encoding the CDR1, CD2 and CDR3 regions from a VL region of a mouse antibody can be operatively linked to nucleic acids encoding the FR1, FR2, FR3 and FR4 regions of a human VL region, and the entire “CDR-grafted” VL region can be operatively linked to nucleic acid encoding the light chain constant region from a human antibody. Preferred humanized antibodies for use in the present invention are described in U.S. Pat. No. 7,943,742. Preferably, the humanized antibody used in the methods of the invention is one that comprises the heavy and light chain CDRs 1, 2, and 3 from murine antibody 3G9. More preferably, the light chain CDR1 of murine antibody 3G9 is employed in the humanized antibody, wherein the humanized 3G9 antibody contains a light chain variable domain wherein the CDR1 region contains an asparagine (N) to serine (S) substitution at residue 3 of CDR 1 of the light chain (SEQ ID NO:1197 showing wild-type sequence of light chain CDR 1, whereas the humanized sequence would be: SASSSVSSSYLY (SEQ ID NO:1196). An exemplary such humanized antibody (referred to herein as STX-100) for use in the present invention is an antibody that has a heavy chain sequence of:









(SEQ ID NO: 1210)


EVQLVESGGGLVQPGGSLRLSCAASGFTFSRYWMSWVRQAPGKGLEWVASI





SSGGRMYYPDTVKGRFTISRDNAKNSLYLQMNSLRAEDTAVYYCARGSIYD





GYYVFPYWGQGTLVTVSS







and a light chain sequence of:









(SEQ ID NO: 1211)


EIVLTQSPATLSLSPGERATLSCSASSSVSSSYLYWYQQKPGQAPRLLIYS





TSNLASGIPARFSGSGSGTDFTLTISSLEPEDFAVYYCHQWSTYPPTFGGG





TKVEIK







The biomarker profiles identified herein also may be used to identify mammals that will be responsive to small molecule inhibitors of αvβ6-integrin. It should be understood that small molecules can have any molecular weight. They are merely called small molecules because they typically have molecular weights less than 450 daltons. Small molecules include compounds that are found in nature as well as synthetic compounds. In one embodiment, the αvβ6-integrin-modulator or modulator of TGFβ signaling (see e.g., Akhurst, Curr. Opin. Investig. Drugs, 7(6):513-21 (2006); Hawinkels, Growth Factors, 29(4): 140-52 (2011) is a small molecule that inhibits the growth of tumor cells that express αvβ6-integrin. In another embodiment, the small molecule is one that inhibits the growth of refractory tumor cells that express αvβ6-integrin.


As used herein, the term “biomarker” is intended to encompass a substance that is used as an indicator of a biologic state and includes genes (and nucleotide sequences of such genes), mRNAs (and nucleotide sequences of such mRNAs) and proteins (and amino acid sequences of such proteins) and post-translationally modified forms of proteins (i.e. phosphorylated and non-phosphorylated forms). A “biomarker expression pattern” is intended to refer to a quantitative or qualitative summary of the expression of one or more biomarkers in a subject, such as in comparison to a standard or a control.


The terms “increased” or “increased expression” and “decreased” or “decreased expression”, with respect to the expression pattern of a biomarker(s), are used herein as meaning that the level of expression is increased or decreased relative to a constant basal level of expression of a household, or housekeeping, gene, whose expression level does not significantly vary under different conditions. A non-limiting example of such a household, or housekeeping, gene is GAPDH. Other suitable household, or housekeeping, genes are well-established in the art.


The invention includes individual biomarkers and biomarker sets having both diagnostic and prognostic value in disease areas which are amenable to treatment with an agent that inhibits αvβ6-integrin activity, an anti-αvβ6-integrin antibody or a modulator of TGFβ signaling. The biomarker sets comprise a plurality of biomarkers such as, for example, a plurality of the biomarkers provided in Table 1 and Table 2 that are highly correlated with sensitivity or efficacy to one or more αvβ6-integrin modulators, such as αvβ6-integrin-specific antibodies.


The biomarkers and biomarker sets of the invention can be used to predict or provide a prognosis of the likely effect of one or more αvβ6-integrin modulators in different biological systems or for cellular responses. The biomarkers and biomarker sets can be used in in vitro assays of αvβ6 antibodies response by test cells to predict in vivo outcome. In accordance with the invention, the various biomarkers and biomarker sets described herein, or the combination of these biomarker sets with other biomarkers or markers, can be used, for example, to predict how patients with an αvβ6-integrin related disease might respond to therapeutic intervention with one or more αvβ6-integrin-specific antibodies.


A biomarker and biomarker set of cellular gene expression patterns correlating with sensitivity or resistance of cells following exposure of the cells to one or more αvβ6-specific antibodies provides a useful tool for screening one or more tissue or cell samples from a subject before treatment with the αvβ6-integrin specific antibodies. The screening allows a prediction of cells of a patient's sample exposed to one or more αvβ6-integrin-specific antibodies, based on the expression results of the biomarker and biomarker set, as to whether or not the biological sample, and hence a patient harboring a disease such as, e.g., fibrosis (e.g., IPF), psoriasis, sclerosis, cancer, acute lung injury, liver injury, scleroderma, transplant, or Alports Syndrome, will or will not respond to treatment with the αvβ6-integrin-specific antibodies.


The biomarker or biomarker set can also be used to monitor the progress of disease treatment or therapy in those patients undergoing treatment for a disease involving an αvβ6-integrin-specific antibody.


The biomarkers also serve as targets for the development of therapies for disease treatment. Such targets may be particularly applicable to treatment of lung fibrosis. Indeed, because these biomarkers are differentially expressed in samples that are sensitive and resistant to therapy, the expression patterns of these biomarkers are correlated with relative intrinsic sensitivity of cells to treatment with αvβ6-integrin-specific antibodies.


The level of biomarker protein and/or mRNA can be determined using methods well known to those skilled in the art. For example, quantification of protein can be carried out using methods such as ELISA, 2-dimensional SDS PAGE, Western blot, immunopreciptation, immunohistochemistry, fluorescence activated cell sorting (FACS), or flow cytometry. Quantification of mRNA can be carried out using methods such as PCR, array hybridization, sequencing, Northern blot, in-situ hybridization, dot-blot, Taqman, or RNAse protection assay.


Microarrays.


The invention also includes specialized microarrays, e.g., oligonucleotide microarrays or cDNA microarrays, comprising one or more biomarkers of Table 1 and Table 2, showing expression profiles that correlate with increased or decreased expression in response to αvβ6-integrin-specific antibodies. Such microarrays can be employed in in vitro assays for assessing the expression level of the biomarkers in the test cells from patients before and after treatment, and determining whether the expression of the biomarkers has been changed as a result of the treatment such that where expression of the biomarkers in Table 1 is increased and/or where there is a decrease in the expression of the biomarkers of Table 2 there is an indication of therapeutic efficacy of the antibody in the subject from whom the sample is isolated.


For example, a specialized microarray can be prepared using all the biomarkers, or subsets thereof (e.g., ALOX5, FN1, OLR1, PAI-1, TGM2, TREM1), as described herein and shown in Table 1 and Table 2. Cells from a tissue or organ biopsy can be isolated and exposed to one or more of αvβ6-integrin-specific antibodies. In one aspect, following application of nucleic acids isolated from both untreated and treated cells to one or more of the specialized microarrays, the pattern of gene expression of the tested cells can be determined and compared with that of the biomarker pattern from the control panel of cells used to create the biomarker set on the microarray. Based upon the gene expression pattern results from the cells that underwent testing, it can be determined if the biological sample is taken from a subject that will be responsive to the therapy using that profile of gene expression. Whether or not the tested cells from a tissue or organ biopsy will respond to one or more of the αvβ6-integrin-specific antibodies and the course of treatment or therapy can then be determined or evaluated based on the information gleaned from the results of the specialized microarray analysis.


Antibodies.


The invention also includes antibodies, including polyclonal or monoclonal, directed against one or more of the polypeptide biomarkers. Such antibodies can be used in a variety of ways, for example, to purify, detect, and target the biomarkers of the invention, including both in vitro and in vivo diagnostic, detection, screening, and/or therapeutic methods.


Kits.


The invention also includes kits for determining or predicting whether a patient would be susceptible or resistant to a treatment that comprises one or more αvβ6-integrin-specific antibodies. The patient may have a disorder such as, for example, fibrosis, psoriasis, sclerosis, cancer, acute lung injury, renal injury, liver injury, scleroderma, transplant, or Alports Syndrome. Such kits would be useful in a clinical setting for use in testing a patient's biopsied samples, for example, to determine or predict if the patient will be resistant or sensitive to a given treatment or therapy with αvβ6-integrin-specific antibodies. The kit comprises a suitable container that comprises: one or more microarrays, e.g., oligonucleotide microarrays or cDNA microarrays, that comprise those biomarkers that correlate with increased or decreased expression in response to αvβ6-integrin-specific antibodies; one or more αvβ6-integrin-specific antibodies for use in testing cells from patient tissue specimens or patient samples; and instructions for use. In addition, kits contemplated by the invention can further include, for example, reagents or materials for monitoring the expression of biomarkers of the invention at the level of mRNA or protein, using other techniques and systems practiced in the art such as, for example, RT-PCR assays, which employ primers designed on the basis of one or more of the biomarkers described herein, immunoassays, such as enzyme linked immunosorbent assays (ELISAs), immunoblotting, e.g., Western blots, or in situ hybridization, mRNA sequencing, and the like.


Application of Biomarkers and Biomarker Sets.


The biomarkers and biomarker sets may be used in different applications. A “biomarker set” can be built from any combination of biomarkers listed in Table 1 and/or Table 2 and used to make predictions about the effect of αvβ6-integrin-specific antibodies in different biological systems, for efficacy and responsiveness of lung injury to such antibodies. The various biomarkers and biomarkers sets described herein can be used, for example, as diagnostic or prognostic indicators in lung disease management, to predict how patients with such diseases might respond to therapeutic intervention with αvβ6-integrin-specific antibodies, and to predict how patients might respond to therapeutic intervention that modulates signaling through the entire TGFβ pathway.


The biomarkers have both diagnostic and prognostic value in diseases areas in which signaling through TGFβ is of importance.


In one aspect, the invention pertains to a method for predicting responsiveness to a αvβ6 integrin inhibitor in a subject having disease that would be amenable to treatment with the an anti-αvβ6 integrin antibody. Typically, the method comprises (i) assaying the subject for the expression of one or more biomarkers predictive of responsiveness to a αvβ6 integrin inhibitor in a disorder, and (ii) predicting responsiveness of the subject to the αvβ6 integrin inhibitor based on expression of the one or more biomarkers in the subject. As used herein, the term “one or more biomarkers” is intended to mean that at least one biomarker in a disclosed list of biomarkers is assayed and, in various embodiments, more than one biomarker set forth in the list may be assayed, such as two, three, four, five, ten, twenty, thirty, forty, fifty, more than fifty, or all the biomarkers in the list may be assayed. Further the diagnostic methods of the invention may be combined with assays that determine the phosphorylation status of SMAD2. Such assays would involve determination of SMAD2 phosphorylation status in response to administration of an αvβ6 integrin inhibitor wherein phosphorylation of SMAD2 is indicative of TGFβ activation and a decrease in that phosphorylation status in response to administration of an αvβ6 integrin inhibitor is indicative of inhibition of TGFβ activity. The methods described herein can further be combined with assays that determine the expression level (e.g., mRNA, protein) in peripheral blood or BAL of one or more (e.g., one, two, three, four, five, six, seven) serum biomarker such as, but not limited to, tissue remodeling markers (e.g., metalloproteinase 7 (MMP-7), osteopontin (OPN)); TGF-β inducible proteins (e.g., tissue inhibitor of metalloproteinase 1 (TIMP-1), collagen type 1alpha1 (Col1A1)); and epithelial injury markers (e.g., surfactant A (SP-A), alpha defensins (DEFA1-3)). Blood samples for serum biomarkers can be collected prior to (baseline) and after administration (post-treatment) of the αvβ6 inhibitor (e.g., STX-100). In one embodiment, differential expression of the serum biomarkers can be measured as the difference from baseline to post-treatment value for serum biomarkers compared between αvβ6 inhibitor treated patients and placebo treated patients. A decrease in the expression of these biomarkers post-treatment is indicative that the subject will, or is highly likely to, respond to the αvβ6 inhibitor (e.g., STX-100) therapy or anti-TGFβ treatment.


In one aspect, cells or fluid from a patient, e.g., from bronchoalveolar lavage, or tissue or even a tissue biopsy, can be assayed to determine the expression pattern of one or more biomarkers prior to treatment with one or more αvβ6-integrin-specific antibodies, small molecule inhibitors of αvβ6-integrin activity, or indeed modulators of TGFβ signaling. In one aspect, the disease is for example, fibrosis (e.g., IPF), psoriasis, sclerosis, cancer (e.g., a pancreatic cancer, a lung cancer, a breast cancer, a colorectal cancer, a head and neck cancer, an esophageal cancer, a skin cancer, and an endometrial cancer), acute lung injury, renal injury, liver injury, scleroderma, transplant, or Alports Syndrome. Success or failure of a treatment can be determined based on the biomarker expression pattern of the sample from the test tissue (test cells or fluid), e.g., sample from a bronchoalveolar lavage, as being relatively similar or different from the expression pattern of a control set of the one or more biomarkers. Thus, if the test sample shows a biomarker expression profile which corresponds to that of the biomarkers in the control panel but which are increased or decreased as a result of the treatment with αvβ6-integrin specific antibody or small molecule inhibitor of αvβ6-integrin activity, it is highly likely or predicted that the individual's disease will respond favorably to treatment with the αvβ6-integrin-specific antibodies, thereby allowing the clinician to identify the subjects that are likely to be responders to the therapeutic regiment. By contrast, if the test cells show a biomarker expression pattern in which the biomarkers of Table 1 are not increased or the biomarkers or Table 2 are not decreased in response to the αvβ6-integrin antibody or small molecule inhibitor of αvβ6-integrin activity, it is highly likely or predicted that the individual will not respond to treatment with agents that are TGFβ modulators, anti-αvβ6-integrin antibodies, or small molecules that inhibit the activity of αvβ6-integrin.


The invention also provides a method of monitoring the treatment of a patient having a disease treatable by one or more αvβ6-integrin antibodies, a small molecule inhibitor of αvβ6-integrin activity or a TGFβ modulator. The isolated test cells from the patient's tissue sample, e.g., tissue or cell sample from any of the disease states mentioned herein and in specific embodiments, e.g., a BAL sample, can be assayed to determine the expression pattern of one or more biomarkers before and after exposure to the αvβ6-integrin inhibiting agent wherein, preferably, the agent is an anti-αvβ6-integrin antibody. The resulting biomarker expression profile of the test sample before and after treatment is compared with that of one or more biomarkers as described in Table 1 and whose expression is shown herein to be up-regulated in response to treatment with an anti-αvβ6-integrin antibody, and/or one or more biomarkers of Table 2 whose expression is shown to be down-regulated in response to treatment with an anti-αvβ6-integrin antibody. Thus, if a patient's response is sensitive to treatment by an anti-αvβ6-integrin antibody, based on correlation of the expression profile of the one or biomarkers up-regulated (i.e., biomarkers in Table 1) or down-regulated (i.e., biomarkers in Table 2), the patient's treatment prognosis can be qualified as favorable and treatment can continue. Also, if, after treatment with an anti-αvβ6-integrin antibody, the test sample fails to show a change in the biomarker expression profile as compared to the expression profile prior to treatment, it can serve as an indicator that the current treatment should be modified, changed, or even discontinued. This monitoring process can indicate success or failure of a patient's treatment with an anti-αvβ6-integrin antibody and such monitoring processes can be repeated as necessary or desired.


Additionally or alternatively, in certain situations it may be possible to assay for the expression of one or more biomarkers at the protein level or the post-translationally modified form of a protein (e.g. phosphorylation or non-phosphorylation), using a detection reagent that detects the protein product or phosphorylated form of a protein encoded by the mRNA of the biomarker(s). For example, if an antibody reagent is available that binds specifically to the biomarker protein product or a phosphorylated form of a protein product to be detected, and not to other proteins, then such an antibody reagent can be used to detect the expression of the biomarker of interest in a cellular, tissue, or fluid sample from the subject, or a preparation derived from the test sample, using standard antibody-based techniques known in the art, such as FACS analysis, ELISA, mass-spectrometry and the like.


As used herein, the term “subject” includes humans, and non-human animals amenable to αvβ6 integrin inhibitor therapy, e.g., preferably mammals, such as non-human primates, sheep, dogs, cats, horses and cows.


Given the observation that the expression pattern of particular biomarkers is associated with responsiveness of the subject to a αvβ6 integrin inhibitor, one can select an appropriate treatment regimen for the subject based on the expression of one or more biomarkers in the subject. Accordingly, in one embodiment, the above-described method for predicting the responsiveness to a αvβ6 integrin inhibitor in a subject further comprises selecting a treatment regimen with the αvβ6 integrin inhibitor based upon expression of the one or more biomarkers in the subject. In another aspect, the method still further comprises administering the αvβ6 integrin inhibitor to the subject according to the treatment regimen such that the disorder is inhibited in the subject.


In another embodiment, the invention provides a method for selecting a treatment regimen for therapy with a αvβ6 integrin inhibitor in a subject, the method comprising:


assaying the subject for expression of one or more biomarkers predictive of responsiveness to a αvβ6 integrin inhibitor for treatment of the disorder; and


selecting a treatment regimen with a αvβ6 integrin inhibitor based upon expression of the one or more biomarkers in the subject.


In yet another embodiment, the invention provides a method of treating a subject having a disorder with a αvβ6 integrin inhibitor (e.g., an αvβ6 antibody or a small molecule inhibitor), the method comprising:


assaying the subject for expression of one or more biomarkers predictive of responsiveness to a αvβ6 integrin inhibitor for treatment of the disorder;


selecting a treatment regimen with a αvβ6 integrin inhibitor based upon expression of the one or more biomarkers in the subject; and


administering the αvβ6 integrin inhibitor according to the treatment regimen such that the subject is treated for the disorder.


The treatment regimen that is selected typically includes at least one of the following parameters and more typically includes many or all of the following parameters: the type of agent chosen for administration, the dosage, the formulation, the route of administration and/or the frequency of administration.


In one embodiment, the αvβ6 integrin inhibitor is an anti-αvβ6 integrin antibody, or antigen-binding portion thereof. For example, the anti-αvβ6 integrin antibody, or antigen-binding portion thereof, can be a humanized antibody, a chimeric antibody or a multivalent antibody.


It is well known in the art that antibody heavy and light chain CDR3 domains play an important role in the binding specificity/affinity of an antibody for an antigen. Accordingly, in another aspect, the αvβ6 integrin inhibitor used in the treatment method of the invention is a human anti-αvβ6 integrin antibody that has slow dissociation kinetics for association with αvβ6 integrin and that has light and heavy chain CDR3 domains that structurally are identical to or related to those of STX-100 (humanized 3G9) whose sequences are shown herein.


The αvβ6 integrin antibody of the invention can be modified. In some embodiments, the αvβ6 integrin antibody or antigen binding fragments thereof, is chemically modified to provide a desired effect. For example, pegylation of antibodies and antibody fragments of the invention may be carried out by any of the pegylation reactions known in the art, as described, for example, in the following references: Focus on Growth Factors 3:4-10 (1992); EP 0 154 316; and EP 0 401 384 (each of which is incorporated by reference herein in its entirety). Preferably, the pegylation is carried out via an acylation reaction or an alkylation reaction with a reactive polyethylene glycol molecule (or an analogous reactive water-soluble polymer). A preferred water-soluble polymer for pegylation of the antibodies and antibody fragments of the invention is polyethylene glycol (PEG). As used herein, “polyethylene glycol” is meant to encompass any of the forms of PEG that have been used to derivatize other proteins, such as mono (C1-C10) alkoxy- or aryloxy-polyethylene glycol.


Methods for preparing pegylated antibodies and antibody fragments of the invention will generally comprise the steps of (a) reacting the antibody or antibody fragment with polyethylene glycol, such as a reactive ester or aldehyde derivative of PEG, under conditions whereby the antibody or antibody fragment becomes attached to one or more PEG groups, and (b) obtaining the reaction products. It will be apparent to one of ordinary skill in the art to select the optimal reaction conditions or the acylation reactions based on known parameters and the desired result.


In yet another embodiment of the invention, αvβ6 integrin antibodies or fragments thereof can be altered wherein the constant region of the antibody is modified to reduce at least one constant region-mediated biological effector function relative to an unmodified antibody. To modify an antibody of the invention such that it exhibits reduced binding to the Fc receptor, the immunoglobulin constant region segment of the antibody can be mutated at particular regions necessary for Fc receptor (FcR) interactions (see e.g., Canfield, S. M. and S. L. Morrison (1991) J. Exp. Med. 173:1483-1491; and Lund, J. et al. (1991) J. Immunol. 147:2657-2662). Reduction in FcR binding ability of the antibody may also reduce other effector functions which rely on FcR interactions, such as opsonization and phagocytosis and antigen-dependent cellular cytotoxicity.


The biomarkers of the invention will be particularly useful in predicting the responsiveness of diseases mediated by αvβ6. For example, these humanized antibodies can be used to treat fibrosis (e.g., lung fibrosis, acute lung injury, kidney fibrosis, liver fibrosis, Alport's Syndrome, transplant and scleroderma), and other diseases and disorders described elsewhere herein, by blocking the activation of TGF-β through blockade of binding to the latency associated peptide (LAP) portion of TGF-β or blocking the binding of αvβ6 to any other ligands, such as fibronectin, vitronectin, and tenascin. In particular, the humanized antibodies of this invention can be used to treat lung diseases associated with injury/fibrosis such as, but not limited to, idiopathic pulmonary fibrosis, radiation induced fibrosis, flu induced fibrosis, coagulation induced fibrosis, vascular injury induced fibrosis, chronic obstructive pulmonary disease (COPD), scleroderma, bleomycin induced fibrosis, chronic asthma, silicosis, asbestos induced fibrosis, acute lung injury, transplant, and acute respiratory distress, (including bacterial pneumonia induced, trauma induced, viral pneumonia induced, ventilator induced, non-pulmonary sepsis induced and aspiration induced). The biomarkers will also be useful in predicting treatment of chronic nephropathies associated with injury/fibrosis such as, but not limited to, lupus, diabetes, scleroderma, glomerular nephritis, focal segmental glomerular sclerosis, IgA nephropathy, hypertension, allograft, Alport's disease, and acute kidney injury. The humanized antibodies may also be useful to treat gut fibrosis, scleroderma, radiation-induced fibrosis. In addition, the biomarkers may be used for determining the responsiveness and predicting therapy for liver fibrosis such as, but not limited to, biliary duct injury induced fibrosis. Other indications include head and neck fibrosis, radiation induced fibrosis, corneal scarring, LASIX, corneal transplant, trabeculectomy, hypertrophic scarring, burn induced fibrosis, surgical fibrosis, sarcoidosis, psoriasis and spinal cord injury/fibrosis.


In addition to fibrotic diseases and conditions, the biomarkers may also be useful for predicting responsiveness of a subject with cancer or cancer metastasis (including tumor growth and invasion), particularly epithelial cancers, to therapy with an anti-αvβ6 or a small molecule inhibitor of αvβ6. A subset of epithelial cancers is squamous cell carcinoma, e.g., head and neck (including oral, laryngeal, pharyngeal, esophageal), breast, lung, prostate, cervical, colon, pancreatic, skin (basal cell carcinomas), prostate, and ovarian cancers. Studies have shown that αvβ6 is highly expressed in many epithelial cancers, especially on the leading edge of the tumors. The biomarkers of the invention can be used to assess whether such cancers are responsive to the αvβ6 therapies. The biomarkers also could be used for predicting responsiveness of a subject with psoriasis to therapy with an anti-αvβ6 or a small molecule inhibitor of αvβ6.


EXAMPLES
Example 1: Experimental Determination of Gene Expression Profiles and Phosphorylated SMAD2 Levels in BAL Cells from an 8 Week Study of Subcutaneous Injection of STX-100 (Humanized 3G9 Antibody) in Cynomolgus Monkeys

The TGF-β cytokine is central to the initiation and maintenance of fibrosis, a pathological process that is marked by the replacement of diseased tissue with excess extracellular matrix (ECM) and ultimately leads to organ scarring and failure. TGF-β promotes fibroblast proliferation and activation, leading to excess secretion of ECM and progression of the fibrotic process. TGF-β plays a well-regulated role in tissue remodeling events that take place during wound healing; however, in many diseases the process of tissue remodeling becomes aberrant and is characterized by prolonged upregulated TGF-β signaling, excess fibroblast accumulation, ECM deposition, and scarring. Elevated expression of TGF-β is a hallmark of fibrotic human tissues, and the functional importance of TGF-β in promoting tissue fibrosis has been documented in vitro and in vivo in animal disease models. Overexpression of TGF-β is sufficient to induce fibroblast activation and angiogenesis in vivo and to activate excessive production of ECM in organotypic and cell cultures. Conversely, genetic or pharmacological disruption of the TGF-β pathway protects from fibrosis in models of tissue fibrosis. Consequently, TGF-β has been identified as a therapeutic target for treatment of diseases associated with the pathology of fibrosis. This includes idiopathic pulmonary fibrosis (IPF), an interstitial lung disease characterized by chronic progressive fibrosis, where there is an increased TGF-β transcriptional signature in affected lung tissue and increased TGF-β protein levels in focal areas of fibrosis.


Monitoring TGF-β activity in bronchoalveolar lavage (BAL) cells is a means to monitor activation TGF-β activity in the lung since these cells can make intimate contact with the epithelium of the lung. BAL cells, which are largely composed of macrophages, show tonic activation of TGF-β activation as monitored by phosphorylated SMAD2 (pSMAD2) levels and the expression of TGF-β regulated genes. For instance, there is no meaningful difference in pSMAD2 levels in BAL cells isolated from wild type mice treated with TGF-β1 or from wild type mice versus bleomycin treated mice. Likewise, there is no meaningful difference in TGF-β regulated genes or pSMAD2 levels in BAL cells from healthy volunteers or IPF patients with or without TGF-β1 treatment.


Thus, evaluating changes in pSMAD2 levels and gene expression in anti-αvβ6 antibody-treated BAL cells from healthy primates provides a measure of monitoring inhibition of the TGF-β pathway. These experiments are described in greater detail below.


Cynomolgus monkeys (2 males/group and 3 females/group) received a bolus subcutaneous injection of 0 (0.9% Sodium Chloride for Injection, USP), 0.1, 0.3, 1, 3, or 10 mg/kg/dose STX-100 once weekly for 8 consecutive weeks. The dose volume was 1 mL/kg/dose for all dose groups. At the end of the treatment period, all animals were euthanized and tissues collected for possible analysis. Animals were bled prestudy and on Days 1, 7, 35, 42, 49, and on Day 50, blood samples were drawn at 12, 24, 36, 48, 72, 96, 120, 144 and 168 hours after the administration of the 8th (last) dose for pharmacokinetic analysis. Animals were also bled pretest and on Days 35, 53 and 57 for RNA isolation and gene expression analysis, and pretest and on Days 7, 35, 53 and 57 for possible serum biomarker and plasma biomarker analysis. Bronchoalveolar lavage was performed pretest and on Days 53 and 57 (termination) for RNA and gene expression analysis as well as total and differential cell counts. Parameters evaluated during the study included: viability, clinical observations and body weights.


All animals survived to termination of the study. Weekly dosing with STX-100 up to 10 mg/kg/week did not result in any effects on animal viability, clinical observations or body weight. There were noticeable variations in the trough concentrations in the 0.1 and 0.3 mg/kg dose groups. In the 0.1 mg/kg dose group, all animals had detectable concentrations of STX-100 on Day 7; however, trough concentrations following subsequent doses diminished to BQL in 3 out of 5 animals. For the 2 animals that had measurable STX-100 level in subsequent trough sampling time points, female Animal No. 8899 showed no serum exposure at trough following the 7th dose and no exposure at all was noted following the 8th dose, whereas, male animal 9281 showed serum exposure of STX-100 through the 8th dose.


Overall, serum exposures of STX-100 appeared to be higher in female than in male monkeys at 0.1, 0.3 and 1 mg/kg, but were similar at 3 and 10 mg/kg. Overall, the serum concentration profile of STX-100 in monkeys (males and females combined) increased with increasing dose.


BAL Collection:


During the study, Bronchoalveolar lavage fluid (BALF) samples were harvested under anesthesia. Animals were sedated with ketamine (5 to 10 mg/kg IM) and anesthetized with Propofol (7 mg/kg IV). Additional Propofol was administered as needed. The entire procedure took less than 30 minutes per animal. At necropsy, the side of the lung that was last lavaged (right side) was separated and the apical lobe only was lavaged with two washes of 10 mL sterile saline.


The BAL procedure was performed by guiding a bronchoscope into the left or right main (1st and 2nd collection respectively) bronchus and advancing it into a terminal bronchus until it became ‘wedged’. Two washes of sterile phosphate buffered saline (PBS) (10 mL total) was instilled and aspirated for collection into a cryotube and placed immediately on wet ice. For the pre-test collection only, the bronchoscope was repositioned to the opposite side to the initial BALF collection and the procedure was repeated. Post-dose BAL was performed on one lung lobe only and the lavaged lung side was noted. The total harvested volume was estimated and recorded. All BALF cells were processed and frozen within two hours of BALF collection. Post collection, animals were placed in lateral recumbency on the side opposite to that lavaged. Animals lavaged on both sides were switched from side to side every 5 to 10 minutes to ensure adequate recovery and excess fluid absorption in both lung lobes.


Samples were spun at 500 g for 5 minutes at 2 to 8° C. The supernatant was divided into four equal aliquots and frozen at approximately −80° C. (±10° C.). The cell pellet were resuspended in 10.5 mL of ice cold 1×PBS and then aliquoted into samples for preparing cell lysates to analyze total SMAD2 and phosphorylated SMAD2 levels by ELISA and for preparing total RNA to monitor gene expression by affymetrix gene chip analysis (Affymetrix GeneChip® Human Gene 1.0 ST arrays) or Taqman® gene expression assays.


Table 1 shows the list of genes that showed a statistically significant increase in expression in BAL cells isolated from cynomolgus monkeys after 8-weekly doses of STX-100 treatment relative to vehicle treated control animals. Gene expression was determined by affymetrix gene chip analysis (Affymetrix GeneChip® Human Gene 1.0 ST arrays).


Table 2 shows the list of genes showing a statistically significant decrease in expression in BAL cells isolated from cynomolgus monkeys after 8-weekly doses of STX-100 treatment relative to vehicle treated control animals. Gene expression was determined by affymetrix gene chip analysis (Affymetrix GeneChip® Human Gene 1.0 ST arrays).









TABLE 1







Genes Up-regulated Upon STX-100 Administration












Nucleic acid
Protein


gene_assignment
Genbank No.
Seqeunce
Sequence





RHOU // ras homolog
NM_021205
SEQ ID NO: 1
SEQ ID NO: 2


gene family, member U





ASTN2 // astrotactin 2
NM_198186
SEQ ID NO: 3
SEQ ID NO:4


// ITM2C // integral
NM_030926
SEQ ID NO: 5
SEQ ID NO: 6


membrane protein 2C





// PCOLCE2 //
NM_013363
SEQ ID NO: 7
SEQ ID NO: 8


procollagen C-





endopeptidase





enhancer 2





// SLC39A8 // solute
NM_022154
SEQ ID NO: 9
SEQ ID NO: 10


carrier family 39 (zinc





transporter), member 8





NM_015028 // TNIK //
NM_015028
SEQ ID NO: 11
SEQ ID NO: 12


TRPTF2 and NCK





interacting kinase





// FUCA1 //
NM_000147
SEQ ID NO: 13
SEQ ID NO: 14


fucosidase, alpha-L-1,





tissue





NM_033104 // STON2
NM_033104
SEQ ID NO: 15
SEQ ID NO: 16


// stonin 2





// GATA3 // GATA
NM_001002295
SEQ ID NO: 17
SEQ ID NO: 18


binding protein 3





// GRK5 // G protein-
NM_005308
SEQ ID NO: 19
SEQ ID NO: 20


coupled receptor





kinase 5





// PLA1A //
NM_015900
SEQ ID NO: 21
SEQ ID NO: 22


phospholipase A1





member A





// ATP2B4 // ATPase,
NM_001001396
SEQ ID NO: 23
SEQ ID NO: 24


Ca++ transporting,





plasma membrane 4





// TEC // tec protein
NM_003215
SEQ ID NO: 25
SEQ ID NO: 26


tyrosine kinase





// LAMC1 // laminin,
NM_002293
SEQ ID NO: 27
SEQ ID NO: 28


gamma 1 (formerly





LAMB2)





// TAGAP // T-cell
NM_054114
SEQ ID NO: 29
SEQ ID NO: 30


activation RhoGTPase





activating protein





// CD3E // CD3e
NM_000733
SEQ ID NO: 31
SEQ ID NO: 32


molecule, epsilon





(CD3-TCR complex)





// BACE2 // beta-site
NM_012105
SEQ ID NO: 33
SEQ ID NO: 34


APP-cleaving enzyme 2





// TRERF1 //
NM_033502
SEQ ID NO: 35
SEQ ID NO: 36


transcriptional





regulating factor 1





// CCL5 // chemokine
NM_002985
SEQ ID NO: 37
SEQ ID NO: 38


(C-C motif) ligand 5





// PLA2G2D //
NM_012400
SEQ ID NO: 39
SEQ ID NO: 40


phospholipase A2,





group IID





// S1PR1 //
NM_001400
SEQ ID NO: 41
SEQ ID NO: 42


sphingosine-1-





phosphate receptor 1





// PLXNA1 // plexin A1
NM_032242
SEQ ID NO: 43
SEQ ID NO: 44


// MTSS1 // metastasis
NM_014751
SEQ ID NO: 45
SEQ ID NO: 46


suppressor 1





// SLAMF7 // SLAM
NM_021181
SEQ ID NO: 47
SEQ ID NO: 48


family member 7





// C11orf49 //
NM_001003676
SEQ ID NO: 49
SEQ ID NO: 50


chromosome 11 open





reading frame 49





// CCDC103 // coiled-
NM_213607
SEQ ID NO: 51
SEQ ID NO: 52


coil domain containing 103





// PTPN22 // protein
NM_015967
SEQ ID NO: 53
SEQ ID NO: 54


tyrosine phosphatase,





non-receptor type 22





(lymphoid)





// PIM2 // pim-2
NM_006875
SEQ ID NO: 55
SEQ ID NO: 56


oncogene





// SLAMF8 // SLAM
NM_020125
SEQ ID NO: 57
SEQ ID NO: 58


family member 8





// IQGAP2 // IQ motif
NM_006633
SEQ ID NO: 59
SEQ ID NO: 60


containing GTPase





activating protein 2





// CHST15 //
NM_015892
SEQ ID NO: 61
SEQ ID NO: 62


carbohydrate (N-





acetylgalactosamine





4-sulfate 6-O)





sulfotransferase 15





// MAP2K6 // mitogen-
NM_002758
SEQ ID NO: 63
SEQ ID NO: 64


activated protein





kinase kinase 6





// ALOX15 //
NM_001140
SEQ ID NO: 65
SEQ IDNO: 66


arachidonate 15-





lipoxygenase





NM_020859 //
NM_020859
SEQ ID NO: 67
SEQ ID NO: 68


SHROOM3 // shroom





family member 3





// DNM1 // dynamin 1
NM_004408
SEQ ID NO: 69
SEQ ID NO: 70


// NT5DC2 II 5′-
NM_022908
SEQ ID NO: 71
SEQ ID NO:72


nucleotidase domain





containing 2





// IFITM1 // interferon
NM_003641
SEQ ID NO: 73
SEQ ID NO: 74


induced





transmembrane





protein 1 (9-27)





// E2F5 // E2F
NM_001951
SEQ ID NO: 75
SEQ ID NO: 76


transcription factor 5,





p130-binding





// AES // amino-
NM_198969
SEQ ID NO: 77
SEQ ID NO: 78


terminal enhancer of





split





// USP2 // ubiquitin
NM_004205
SEQ ID NO: 79
SEQ ID NO: 80


specific peptidase 2





// CD8A // CD8a
NR_027353
SEQ ID NO: 81
N/A


molecule





// MYO1E // myosin IE
NM_004998
SEQ ID NO: 82
SEQ ID NO: 83


// KREMEN1 // kringle
NM_001039570
SEQ ID NO: 84
SEQ ID NO: 85


containing





transmembrane





protein 1





// VLDLR // very low
NM_003383
SEQ ID NO: 86
SEQ ID NO: 87


density lipoprotein





receptor





// TIAM1 // T-cell
NM_003253
SEQ ID NO: 88
SEQ ID NO: 89


lymphoma invasion





and metastasis 1





// ABLIM1 //actin
NM_002313
SEQ ID NO: 90
SEQ ID NO: 91


binding LIM protein 1





// TSPAN4 //
NM_001025237
SEQ ID NO: 92
SEQ ID NO: 93


tetraspanin 4





// PLTP // phospholipid
NM_006227
SEQ ID NO: 94
SEQ ID NO: 95


transfer protein





// PSCA // prostate
NM_005672
SEQ ID NO: 96
SEQ ID NO: 97


stem cell antigen





// GRAP2 // GRB2-
NM_004810
SEQ ID NO: 98
SEQ ID NO: 99


related adaptor protein 2





// P2RY10 // purinergic
NM_014499
SEQ ID NO: 100
SEQ ID NO: 101


receptor P2Y, G-





protein coupled, 10





// MAP1A //
NM_002373
SEQ ID NO: 102
SEQ ID NO: 103


microtubule-





associated protein 1A





// THEMIS //
NM_001010923
SEQ ID NO: 104
SEQ ID NO: 105


thymocyte selection





associated





// IL18RAP //
NM_003853
SEQ ID NO: 106
SEQ ID NO: 107


interleukin 18 receptor





accessory protein





// CHN2 // chimerin
NM_004067
SEQ ID NO: 108
SEQ ID NO: 109


(chimaerin) 2





// PPM1E // protein
NM_014906
SEQ ID NO: 110
SEQ ID NO: 111


phosphatase 1E





(PP2C domain





containing)





// TMEM154 //
NM_152680
SEQ ID NO: 112
SEQ ID NO: 113


transmembrane





protein 154





// PLBD1 //
NM_024829
SEQ ID NO: 114
SEQ ID NO: 115


phospholipase B





domain containing 1





// SCN1B // sodium
NM_001037
SEQ ID NO: 116
SEQ ID NO: 117


channel, voltage-





gated, type I, beta





// UST // uronyl-2-
NM_005715
SEQ ID NO: 118
SEQ ID NO: 119


sulfotransferase





// IL23R // interleukin
NM_144701
SEQ ID NO: 120
SEQ ID NO: 121


23 receptor





// KLRK1 // killer cell
NM_007360
SEQ ID NO: 122
SEQ ID NO: 123


lectin-like receptor





subfamily K, member 1





// NFATC2 // nuclear
NM_012340
SEQ ID NO: 124
SEQ ID NO: 125


factor of activated T-





cells, cytoplasmic,





calcineurin-dependent 2





// FYB // FYN binding
NM_001465
SEQ ID NO: 126
SEQ ID NO: 127


protein (FYB-120/130)





// KMO // kynurenine
NM_003679
SEQ ID NO: 128
SEQ ID NO: 129


3-monooxygenase





(kynurenine 3-





hydroxylase)





// MCOLN2 //
NM_153259
SEQ ID NO: 130
SEQ ID NO: 131


mucolipin 2





// TMEM37 //
NM_183240
SEQ ID NO: 132
SEQ ID NO: 133


transmembrane





protein 37





// STARD13 // StAR-
NM_178006
SEQ ID NO: 134
SEQ ID NO: 135


related lipid transfer





(START) domain





containing 13





// CD80 // CD80
NM_005191
SEQ ID NO: 136
SEQ ID NO: 137


molecule





// LOC100289528 //
ENST00000438157
SEQ ID NO: 998
SEQ ID NO: 138


hypothetical protein





LOC100289528





// ARID5B // AT rich
NM_032199
SEQ ID NO: 139
SEQ ID NO: 140


interactive domain 5B





(MRF1-like)





// ADD3 // adducin 3
NM_016824
SEQ ID NO: 141
SEQ ID NO: 142


(gamma)





// PLCG1 //
NM_002660
SEQ ID NO: 143
SEQ ID NO: 144


phospholipase C,





gamma 1





// SNORD115-31 //
NR_003346
SEQ ID NO:145
N/A


small nucleolar RNA,





C/D box 115-31





// PYROXD2 //
NM_032709
SEQ ID NO: 146
SEQ ID NO: 147


pyridine nucleotide-





disulphide





oxidoreductase





domain 2





// AMICA1 //adhesion
NM_001098526
SEQ ID NO: 148
SEQ ID NO: 149


molecule, interacts





with CXADR antigen 1





// TGFBI //
NM_000358
SEQ ID NO: 150
SEQ ID NO: 151


transforming growth





factor, beta-induced,





68 kDa





// ABl2 // abl-interactor 2
NM_005759
SEQ ID NO: 152
SEQ ID NO: 153


// SLC16A7 // solute
NM_004731
SEQ ID NO: 154
SEQ ID NO: 155


carrier family 16,





member 7





(monocarboxylic acid





transporter 2)





// CD3D // CD3d
NM_000732
SEQ ID NO: 156
SEQ ID NO: 157


molecule, delta (CD3-





TCR complex)





// OSBPL3 // oxysterol
NM_015550
SEQ ID NO: 158
SEQ ID NO: 159


binding protein-like 3





// TPCN1 // two pore
NM_001143819
SEQ ID NO: 160
SEQ ID NO: 161


segment channel 1





// ECE1 // endothelin
NM_001397
SEQ ID NO: 162
SEQ ID NO: 163


converting enzyme 1





// TGFA //
NM_003236
SEQ ID NO: 164
SEQ ID NO: 165


transforming growth





factor, alpha





// ZEB1 // zinc finger
NR_024285
SEQ ID NO: 166
N/A


E-box binding





homeobox 1











// CTDSPL // CTD
NM_001008392
SEQ ID NO: 167
SEQ ID NO: 168


(carboxy-terminal





domain, RNA





polymerase II,





polypeptide A) small





phosphatase-like





// PPFIBP2 // PTPRF
NM_003621
SEQ ID NO: 169
SEQ ID NO: 170


interacting protein,





binding protein 2 (liprin





beta 2)





// KLRD1 // killer cell
NM_002262
SEQ ID NO: 171
SEQ ID NO: 172


lectin-like receptor





subfamily D, member 1





// GM2A // GM2
NM_000405
SEQ ID NO: 173
SEQ ID NO: 174


ganglioside activator





// EIF4G3 // eukaryotic
NM_003760
SEQ ID NO: 175
SEQ ID NO: 176


translation initiation





factor 4 gamma, 3





// PADI2 // peptidyl
NM_007365
SEQ ID NO: 177
SEQ ID NO: 178


arginine deiminase,





type II





// TSPAN33 //
NM_178562
SEQ ID NO: 179
SEQ ID NO: 180


tetraspanin 33





// SDC3 // syndecan 3
NM_014654
SEQ ID NO: 181
SEQ ID NO: 182


// ZFP36L1 // zinc
NM_004926
SEQ ID NO: 183
SEQ ID NO: 184


finger protein 36, C3H





type-like 1





// CPM //
NM_001874
SEQ_ID NO: 185
SEQ_ID NO: 186


carboxypeptidase M





// SPP1 //secreted
NM_001040058
SEQ ID NO: 187
SEQ ID NO: 188


phosphoprotein 1





// CYFIP2 //
NM_001037332
SEQ ID NO: 189
SEQ ID NO: 190


cytoplasmic FMR1





interacting protein 2





// FLNB // filamin B,
NM_001457
SEQ ID NO: 191
SEQ ID NO: 192


beta





// C6orf192 //
NM_052831
SEQ ID NO: 193
SEQ ID NO: 194


chromosome 6 open





reading frame 192





// CD226 // CD226
NM_006566
SEQ ID NO: 195
SEQ ID NO: 196


molecule





// RASA3 // RAS p21
NM_007368
SEQ ID NO: 197
SEQ ID NO: 198


protein activator 3





// CD274 // CD274
NM_014143
SEQ ID NO: 199
SEQ ID NO: 200


molecule





// CD28 // CD28
NM_006139
SEQ ID NO: 201
SEQ ID NO: 202


molecule





// KCNMA1 //
NM_001014797
SEQ ID NO: 203
SEQ ID NO: 204


potassium large





conductance calcium-





activated channel,





subfamily M, alpha





member 1





NM_001259 // CDK6 //
NM_001259
SEQ ID NO: 205
SEQ ID NO: 206


cyclin-dependent





kinase 6





// ADAM19 // ADAM
NM_033274
SEQ ID NO: 207
SEQ ID NO: 208


metallopeptidase





domain 19 (meltrin





beta)





// CD3G // CD3g
NM_000073
SEQ ID NO: 209
SEQ ID NO: 210


molecule, gamma





(CD3-TCR complex)





// ADORA3 //
NM_020683
SEQ ID NO: 211
SEQ ID NO: 212


adenosine A3 receptor





// STAT4 // signal
NM_003151
SEQ ID NO: 213
SEQ ID NO: 214


transducer and





activator of





transcription 4





// CD86 // CD86
NM_175862
SEQ ID NO: 215
SEQ ID NO: 216


molecule





// TM7SF4 //
NM_030788
SEQ ID NO: 217
SEQ ID NO: 218


transmembrane 7





superfamily member 4





// CCL3L1 //
NM_021006
SEQ ID NO: 219
SEQ ID NO: 220


chemokine (C-C motif)





ligand 3-like 1





// CCL3L1 //
NM_021006
SEQ ID NO: 221
SEQ ID NO: 222


chemokine (C-C motif)





ligand 3-like 1





// CCL3L1 //
NM_021006
SEQ ID NO: 223
SEQ ID NO: 224


chemokine (C-C motif)





ligand 3-like 1





// TOX // thymocyte
NM_014729
SEQ ID NO: 225
SEQ ID NO: 226


selection-associated





high mobility group





box





// ITK // IL2-inducible
NM_005546
SEQ ID NO: 227
SEQ ID NO: 228


T-cell kinase





// SORBS2 // sorbin
NM_021069
SEQ ID NO: 229
SEQ ID NO: 230


and SH3 domain





containing 2





// PLEKHA5 //
NM_019012
SEQ ID NO: 231
SEQ ID NO: 232


pleckstrin homology





domain containing,





family A member 5





// FAT1 // FAT tumor
NM_005245
SEQ ID NO: 233
SEQ ID NO: 234


suppressor homolog 1





(Drosophila)





// TGFBR3 //
NM_003243
SEQ ID NO: 235
SEQ ID NO: 236


transforming growth





factor, beta receptor III





// SMAD3 // SMAD
NM_005902
SEQ ID NO: 237
SEQ ID NO: 238


family member 3





// TUBA4A // tubulin,
NM_006000
SEQ ID NO: 230
SEQ ID NO: 240


alpha 4a





// SLC40A1 // solute
NM_014585
SEQ ID NO: 241
SEQ ID NO: 242


carrier family 40 (iron-





regulated transporter),





member 1





// LEF1 // lymphoid
NM_016269
SEQ ID NO: 243
SEQ ID NO: 244


enhancer-binding





factor 1





// CCL8 // chemokine
NM_005623
SEQ ID NO: 245
SEQ ID NO: 246


(C-C motif) ligand 8





// CCR4 // chemokine
NM_005508
SEQ ID NO: 247
SEQ ID NO: 248


(C-C motif) receptor 4





// CDC14A // CDC14
NM_003672
SEQ ID NO: 240
SEQ ID NO: 250


cell division cycle 14





homolog A (S.






cerevisiae)






// PRKCQ // protein
NM_006257
SEQ ID NO: 251
SEQ ID NO: 252


kinase C, theta





// STK39 // serine
NM_013233
SEQ ID NO: 253
SEQ ID NO: 254


threonine kinase 39





(STE20/SPS1





homolog, yeast)





// TSPAN3 //
NM_005724
SEQ ID NO: 255
SEQ ID NO: 256


tetraspanin 3





// CCDC88C // coiled-
NM_001080414
SEQ ID NO: 257
SEQ ID NO: 258


coil domain containing





88C





// PDE4D //
NM_001104631
SEQ ID NO: 259
SEQ ID NO: 260


phosphodiesterase





4D, cAMP-specific





(phosphodiesterase





E3 dunce homolog,





Drosophila)





// DFNA5 // deafness,
NM_004403
SEQ ID NO: 261
SEQ ID NO: 262


autosomal dominant 5





// MMP2 // matrix
NM_004530
SEQ ID NO: 263
SEQ ID NO: 264


metallopeptidase 2





(gelatinase A, 72 kDa





gelatinase, 72 kDa





type IV collagenase)





// GNG2 // guanine
NM_053064
SEQ ID NO: 265
SEQ ID NO: 266


nucleotide binding





protein (G protein),





gamma 2





// ETS1 // v-ets
NM_001143820
SEQ ID NO: 267
SEQ ID NO: 268


erythroblastosis virus





E26 oncogene





homolog 1 (avian)





// P2RY12 // purinergic
NM_022788
SEQ ID NO: 269
SEQ ID NO: 270


receptor P2Y, G-





protein coupled, 12





// SLC9A9 // solute
NM_173653
SEQ ID NO: 271
SEQ ID NO: 272


carrier family 9





(sodium/hydrogen





exchanger), member 9





// CD180 // CD180
NM_005582
SEQ ID NO: 273
SEQ ID NO: 274


molecule





// TRERF1 //
NM_033502
SEQ ID NO: 275
SEQ ID NO: 276


transcriptional





regulating factor 1





// CD1C // CD1c
NM_001765
SEQ ID NO: 277
SEQ ID NO: 278


molecule





// INPP4B // inositol
NM_003866
SEQ ID NO: 279
SEQ ID NO: 280


polyphosphate-4-





phosphatase, type II,





105 kDa





// DKFZP56400823 //
NM_015393
SEQ ID NO: 281
SEQ ID NO: 282


prostatic androgen-





repressed message-1





// STAMBPL1 // STAM
NM_020799
SEQ ID NO: 283
SEQ ID NO: 284


binding protein-like 1





// ADAM23 // ADAM
NM_003812
SEQ ID NO: 285
SEQ ID NO: 286


metallopeptidase





domain 23





// SRGAP1 // SLIT-
NM_020762
SEQ ID NO: 287
SEQ ID NO: 288


ROBO Rho GTPase





activating protein 1





// TUBB2C // tubulin,
NM_006088
SEQ ID NO: 289
SEQ ID NO: 290


beta 2C





// CES1 //
NM_001025195
SEQ ID NO: 291
SEQ ID NO: 292


carboxylesterase 1





(monocyte/macrophage





serine esterase 1)





// DPP4 // dipeptidyl-
NM_001935
SEQ ID NO: 293
SEQ ID NO: 294


peptidase 4





// SKAP1 // src kinase
NM_003726
SEQ ID NO: 295
SEQ ID NO: 296


associated





phosphoprotein 1





// SEPP1 //
NM_005410
SEQ ID NO: 297
SEQ ID NO: 298


selenoprotein P,





plasma, 1





// KIAA0746 //
NM_015187
SEQ ID NO: 299
SEQ ID NO: 300


KIAA0746 protein





// CD200R1 // CD200
NM_138806
SEQ ID NO: 301
SEQ ID NO: 302


receptor 1





// ANGPTL2 //
NM_012098
SEQ ID NO: 303
SEQ ID NO: 304


angiopoietin-like 2





// GZMK // granzyme
NM_002104
SEQ ID NO: 305
SEQ ID NO: 306


K (granzyme 3;





tryptase II)





// SLC16A10 // solute
NM_018593
SEQ ID NO: 307
SEQ ID NO: 308


carrier family 16,





member 10 (aromatic





amino acid





transporter)





// MARCKS //
NM_002356
SEQ ID NO: 309
SEQ ID NO: 310


myristoylated alanine-





rich protein kinase C





substrate





// C6orf105 //
NM_001143948
SEQ ID NO: 311
SEQ ID NO: 312


chromosome 6 open





reading frame 105





// CCND2 // cyclin D2
NM_001759
SEQ ID NO: 313
SEQ ID NO: 314


// GDPD1 //
NM_182569
SEQ ID NO: 315
SEQ ID NO: 316


glycerophosphodiester





phosphodiesterase





domain containing 1





// CD38 // CD38
NM_001775
SEQ ID NO: 317
SEQ ID NO: 318


molecule





// TGFB2 //
NM_001135599
SEQ ID NO: 319
SEQ ID NO: 320


transforming growth





factor, beta 2





// ARRDC4 // arrestin
NM_183376
SEQ ID NO: 321
SEQ ID NO: 322


domain containing 4





// ITM2A // integral
NM_004867
SEQ ID NO: 323
SEQ ID NO: 324


membrane protein 2A





// SLC44A3 // solute
NM_001114106
SEQ ID NO: 325
SEQ ID NO: 326


carrier family 44,





member 3





// FGD6 // FYVE,
NM_018351
SEQ ID NO: 327
SEQ ID NO: 328


RhoGEF and PH





domain containing 6





// BIRC3 // baculoviral
NM_001165
SEQ ID NO: 329
SEQ ID NO: 330


IAP repeat-containing 3





// GUCY1A3 //
NM_000856
SEQ ID NO: 331
SEQ ID NO: 332


guanylate cyclase 1,





soluble, alpha 3





// PAPSS2 II 3′-
NM_004670
SEQ ID NO: 333
SEQ ID NO: 334


phosphoadenosine 5′-





phosphosulfate





synthase 2





// RAB6B // RAB6B,
NM_016577
SEQ ID NO: 335
SEQ ID NO: 336


member RAS





oncogene family





// SLC38A1 // solute
NM_030674
SEQ ID NO: 337
SEQ ID NO: 338


carrier family 38,





member 1





// ST8SIA4 // ST8
NM_005668
SEQ ID NO: 339
SEQ ID NO: 340


alpha-N-acetyl-





neuraminide alpha-





2,8-sialyltransferase 4





// WDR17 // WD
NM_170710
SEQ ID NO: 341
SEQ ID NO: 342


repeat domain 17





// C4orf18 //
NM_001128424
SEQ ID NO: 343
SEQ ID NO: 344


chromosome 4 open





reading frame 18





// KLRG1 // killer cell
NM_005810
SEQ ID NO: 345
SEQ ID NO: 346


lectin-like receptor





subfamily G, member 1





// TES // testis derived
NM_015641
SEQ ID NO: 347
SEQ ID NO: 348


transcript (3 LIM





domains)





// ABCA6 // ATP-
NM_080284
SEQ ID NO: 349
SEQ ID NO: 350


binding cassette, sub-





family A (ABC1),





member 6





// CD96 // CD96
NM_198196
SEQ ID NO: 351
SEQ ID NO: 352


molecule





// C5orf13 //
NM_004772
SEQ ID NO: 353
SEQ ID NO: 354


chromosome 5 open





reading frame 13





// ITGB3 // integrin,
NM_000212
SEQ ID NO: 355
SEQ ID NO: 356


beta 3 (platelet





glycoprotein IIIa,





antigen CD61)





// PLXNC1 // plexin C1
NM_005761
SEQ ID NO: 357
SEQ ID NO: 358


// NEDD4L // neural
NM_001144967
SEQ ID NO: 359
SEQ ID NO: 360


precursor cell





expressed,





developmentally





down-regulated 4-like





// LGMN // legumain
NM_005606
SEQ ID NO: 361
SEQ ID NO: 362


// SCIN // scinderin
NM_001112706
SEQ ID NO: 363
SEQ ID NO: 364


// TRAT1 // T cell
NM_016388
SEQ ID NO: 365
SEQ ID NO: 366


receptor associated





transmembrane





adaptor 1





// ANTXR2 // anthrax
NM_058172
SEQ ID NO: 367
SEQ ID NO: 368


toxin receptor 2





// CCL4L1 //
NM_001001435
SEQ ID NO: 369
SEQ ID NO: 370


chemokine (C-C motif)





ligand 4-like 1





// KIAA0040 //
NM_014656
SEQ ID NO: 371
SEQ ID NO: 372


KIAA0040





// MYO1D // myosin ID
NM_015194
SEQ ID NO: 373
SEQ ID NO: 374








// RARRES1 // retinoic
NM_206963
SEQ ID NO: 375
SEQ ID NO: 376


acid receptor





responder (tazarotene





induced) 1





// LYVE1 // lymphatic
NM_006691
SEQ ID NO: 377
SEQ ID NO: 378


vessel endothelial





hyaluronan receptor 1





// GPR174 // G
NM_032553
SEQ ID NO: 379
SEQ ID NO: 380


protein-coupled





receptor 174





// GABRG3 // gamma-
NM_033223
SEQ ID NO: 381
SEQ ID NO: 382


aminobutyric acid





(GABA) A receptor,





gamma 3





// FOLR2 // folate
NM_000803
SEQ ID NO: 383
SEQ ID NO: 384


receptor 2 (fetal)

















// GPR171 // G
NM_013308
SEQ ID NO: 385
SEQ ID NO: 386


protein-coupled





receptor 171





// PMP22 // peripheral
NM_000304
SEQ ID NO: 387
SEQ ID NO: 388


myelin protein 22





// PLD3 //
NM_012268
SEQ ID NO: 389
SEQ ID NO: 390


phospholipase D





family, member 3





// VSIG4 // V-set and
NM_007268
SEQ ID NO: 391
SEQ ID NO: 392


immunoglobulin





domain containing 4





// PTPRB // protein
NM_001109754
SEQ ID NO: 393
SEQ ID NO: 394


tyrosine phosphatase,





receptor type, B





// RNF125 // ring finger
NM_017831
SEQ ID NO: 395
SEQ ID NO: 396


protein 125





// TCN2 //
NM_000355
SEQ ID NO: 397
SEQ ID NO: 398


transcobalamin II;





macrocytic anemia





// EPS8 // epidermal
NM_004447
SEQ ID NO: 399
SEQ ID NO: 400


growth factor receptor





pathway substrate 8





// CD84 // CD84
NM_003874
SEQ ID NO: 401
SEQ ID NO: 402


molecule





// F13A1 // coagulation
NM_000129
SEQ ID NO: 403
SEQ ID NO: 404


factor XIII, A1





polypeptide





// IKZF3 // IKAROS
NM_012481
SEQ ID NO: 405
SEQ ID NO: 406


family zinc finger 3





(Aiolos)





// SLFN5 // schlafen
NM_144975
SEQ ID NO: 407
SEQ ID NO: 408


family member 5





// CAMK4 //
NM_001744
SEQ ID NO: 409
SEQ ID NO: 410


calcium/calmodulin-





dependent protein





kinase IV





// PLA2G7 //
NM_005084
SEQ ID NO: 411
SEQ ID NO: 412


phospholipase A2,





group VII (platelet-





activating factor





acetylhydrolase,





plasma)





// TNS1 // tensin 1
NM_022648
SEQ ID NO: 413
SEQ ID NO: 414


// HBD // hemoglobin,
NM_000519
SEQ ID NO: 415
SEQ ID NO: 416


delta





// CTSL1 // cathepsin
NM_001912
SEQ ID NO: 417
SEQ ID NO: 418


L1





// SELL // selectin L
NM_000655
SEQ ID NO: 419
SEQ ID NO: 420


// TNFSF10 // tumor
NM_003810
SEQ ID NO: 421
SEQ ID NO: 422


necrosis factor (ligand)





superfamily, member 10





// CLIC2 // chloride
NM_001289
SEQ ID NO: 423
SEQ ID NO: 424


intracellular channel 2





// RGL1 // ral guanine
NM_015149
SEQ ID NO: 425
SEQ ID NO: 426


nucleotide dissociation





stimulator-like 1





// TM4SF19 //
NM_138461
SEQ ID NO: 427
SEQ ID NO: 428


transmembrane 4 L





six family member 19





// TFCP2L1 //
NM_014553
SEQ ID NO: 429
SEQ ID NO: 430


transcription factor





CP2-like 1





// STEAP4 // STEAP
NM_024636
SEQ ID NO: 431
SEQ ID NO: 432


family member 4





// GPR15 // G protein-
NM_005290
SEQ ID NO: 433
SEQ ID NO: 434


coupled receptor 15





// CYBRD1 //
NM_024843
SEQ ID NO: 435
SEQ ID NO: 436


cytochrome b





reductase 1





// SFRP4 // secreted
NM_003014
SEQ ID NO: 437
SEQ ID NO: 438


frizzled-related protein 4





// CMKLR1 //
NM_001142343
SEQ ID NO: 439
SEQ ID NO: 440


chemokine-like





receptor 1





// HGF // hepatocyte
NM_000601
SEQ ID NO: 441
SEQ ID NO: 442


growth factor





(hepapoietin A; scatter





factor)





// CCL2 // chemokine
NM_002982
SEQ ID NO: 443
SEQ ID NO: 444


(C-C motif) ligand 2





// THSD7A //
NM_015204
SEQ ID NO: 445
SEQ ID NO: 446


thrombospondin, type





I, domain containing 7A





// SULT1C2 //
NM_001056
SEQ ID NO: 447
SEQ ID NO: 448


sulfotransferase





family, cytosolic, 1C,





member 2





// MMP9 // matrix
NM_004994
SEQ ID NO: 449
SEQ ID NO: 450


metallopeptidase 9





(gelatinase B, 92 kDa





gelatinase, 92 kDa





type IV collagenase)





// LRRC39 // leucine
NM_144620
SEQ ID NO: 451
SEQ ID NO: 452


rich repeat containing 39





// HBB // hemoglobin,
NM_000518
SEQ ID NO: 453
SEQ ID NO: 454


beta





// CTSK // cathepsin K
NM_000396
SEQ ID NO: 455
SEQ ID NO: 456


// FABP3 // fatty acid
NM_004102
SEQ ID NO: 457
SEQ ID NO: 458


binding protein 3,





muscle and heart





(mammary-derived





growth inhibitor)





// ENPP2 //
NM_006209
SEQ ID NO: 459
SEQ ID NO: 460


ectonucleotide





pyrophosphatase/phos-





phodiesterase 2





// MLANA // melan-A
NM_005511
SEQ ID NO: 461
SEQ ID NO: 462


ABCD2// ATP-binding
NM_005164
SEQ ID NO: 999
SEQ ID NO: 1000


cassette, sub-family D





(ALD), member 2





C12orf35//chromosome
NM_018169
SEQ ID NO: 1001
SEQ ID NO: 1002


12 open reading





frame 35





CD207//CD207
NM_015717
SEQ ID NO: 1003
SEQ ID NO: 1004


molecule, langerin





CD247//CD247
NM_198053
SEQ ID NO: 1005
SEQ ID NO: 1006


molecule





CD27//CD27
NM_001242
SEQ ID NO: 1007
SEQ ID NO: 1008


molecule





CD5L //CD5
NM_005894
SEQ ID NO: 1009
SEQ ID NO: 1010


molecule-like





CHIT1//chitinase 1
NM_003465
SEQ ID NO: 1011
SEQ ID NO: 1012


(chitotriosidase)





CLEC2D //C-type
NM_001004419
SEQ ID NO: 1013
SEQ ID NO: 1014


lectin domain family 2,





member D





CST7//cystatin F
NM_003650
SEQ ID NO: 1015
SEQ ID NO: 1016


(leukocystatin)





DTNA //dystrobrevin,
NM_001390
SEQ ID NO: 1017
SEQ ID NO: 1018


alpha





ENTPD1//ectonucleoside
NM_001776
SEQ ID NO: 1019
SEQ ID NO: 1020


triphosphate





diphosphohydrolase 1





EPHB1 //EPH
NM_004441
SEQ ID NO: 1021
SEQ ID NO: 1022


receptor B1





ESPNP //espin
NR_026567
SEQ ID NO: 1023
N/A


pseudogene





FAM40B //family with
NM_020704
SEQ ID NO: 1024
SEQ ID NO: 1025


sequence similarity





40, member B





FAM87A //family with
BC037297
SEQ ID NO: 1026
N/A


sequence similarity





87, member A





FBXO40//F-box
NM_016298
SEQ ID NO: 1027
SEQ ID NO: 1028


protein 40





FCGR2A// Fc
NM_001136219
SEQ ID NO: 1029
SEQ ID NO: 1030


fragment of IgG, low





affinity IIa, receptor





(CD32)





FCGR2B //Fc
NM_004001
SEQ ID NO: 1031
SEQ ID NO: 1032


fragment of IgG, low





affinity IIb, receptor





(CD32)





FCGR2C //Fc
NM_201563
SEQ ID NO: 1033
SEQ ID NO: 1034


fragment of IgG, low





affinity IIc, receptor for





(CD32)





FMN1// formin 1
ENST00000414268
SEQ ID NO: 1035
SEQ ID NO: 1036


FMO1 //flavin
NM_002021
SEQ ID NO: 1037
SEQ ID NO: 1038


containing





monooxygenase 1





FOLH1 //folate
NM_153696
SEQ ID NO: 1039
SEQ ID NO: 1040


hydrolase (prostate-





specific membrane





antigen) 1





FOLH1B //folate
NM_153696
SEQ ID NO: 1041
SEQ ID NO: 1042


hydrolase 1B





FYN //FYN oncogene
NM_002037
SEQ ID NO: 1043
SEQ ID NO: 1044


related to SRC, FGR,





YES





GAST //gastrin
NM_000805
SEQ ID NO: 1045
SEQ ID NO: 1046


GIMAP1//GTPase,
NM_130759
SEQ ID NO: 1047
SEQ ID NO: 1048


IMAP family member 1





GIMAP5 //GTPase,
NM_018384
SEQ ID NO: 1049
SEQ ID NO: 1050


IMAP family member 5





GIMAP8//GTPase,
NM_175571
SEQ ID NO: 1051
SEQ ID NO: 1052


IMAP family member 8





GPX3//glutathione
NM_002084
SEQ ID NO: 1053
SEQ ID NO: 1054


peroxidase 3 (plasma)





GUSBL1//glucuronidase,
NR_003504
SEQ ID NO: 1055
N/A


beta-like 1





HAVCR2//hepatitis A
NM_032782
SEQ ID NO: 1056
SEQ ID NO: 1057


virus cellular receptor 2





IGJ //immunoglobulin
NM_144646
SEQ ID NO: 1058
SEQ ID NO: 1059


J polypeptide, linker





protein for





immunoglobulin alpha





and mu polypeptides





IGKV3D-11 //
ENST00000390250
SEQ ID NO: 1060
SEQ ID NO: 1061


immunoglobulin kappa





variable 3D-11





IL1R2// interleukin 1
NM_004633
SEQ ID NO: 1062
SEQ ID NO: 1063


receptor, type II





JAKMIP2// janus
NM_014790
SEQ ID NO: 1064
SEQ ID NO: 1065


kinase and





microtubule interacting





protein 2





KLHL38//kelch-like 38
NM_001081675
SEQ ID NO: 1066
SEQ ID NO: 1067


(Drosophila)





LAT2 //linker for
NM_032464
SEQ ID NO: 1068
SEQ ID NO: 1069


activation of T cells





family, member 2





LIPA// lipase A,
NM_001127605
SEQ ID NO: 1070
SEQ ID NO: 1071


lysosomal acid,





cholesterol esterase





LOC100128751//INM04
AY194294
SEQ ID NO: 1072
SEQ ID NO: 1073


LOC91316//glucuronidase,
NR_024448
SEQ ID NO: 1074
N/A


beta





LPL //lipoprotein
NM_000237
SEQ ID NO: 1075
SEQ ID NO: 1076


lipase





LY9// lymphocyte
NM_002348
SEQ ID NO: 1077
SEQ ID NO: 1078


antigen 9





MAF// v-maf
NM_001031804
SEQ ID NO: 1079
SEQ ID NO: 1080


musculoaponeurotic





fibrosarcoma





oncogene homolog





(avian)





MATK
NM_139355
SEQ ID NO: 1081
SEQ ID NO: 1082


//megakaryocyte-





associated tyrosine





kinase





MS4A4A
NM_024021
SEQ ID NO: 1083
SEQ ID NO: 1084


//membrane-spanning





4-domains, subfamily





A, member 4





MX2 //myxovirus
NM_002463
SEQ ID NO: 1085
SEQ ID NO: 1086


(influenza virus)





resistance 2 (mouse)





NCALD //neurocalcin
NM_001040624
SEQ ID NO: 1087
SEQ ID NO: 1088


delta





OBFC2A
NM_001031716
SEQ ID NO: 1089
SEQ ID NO: 1090


//oligonucleotide





OR14C36// olfactory
NM_001001918
SEQ ID NO: 1091
SEQ ID NO: 1092


receptor, family 14,





subfamily C, member 36





OR5L1//olfactory
NM_001004738
SEQ ID NO: 1093
SEQ ID NO: 1094


receptor, family 5,





subfamily L, member 1





PDZRN3//PDZ
NM_015009
SEQ ID NO: 1095
SEQ ID NO: 1096


domain containing ring





finger 3





PLXDC1//plexin
NM_020405
SEQ ID NO: 1097
SEQ ID NO: 1098


domain containing 1





PP13004//hypothetical
ENST00000381493
SEQ ID NO: 1099
SEQ ID NO: 1100


LOC402481





PSAT1
NM_058179
SEQ ID NO: 1101
SEQ ID NO: 1102


//phosphoserine





aminotransferase 1





PTPRE //protein
NM_006504
SEQ ID NO: 1103
SEQ ID NO: 1104


tyrosine phosphatase,





receptor type, E





RASSF2 //Ras
NM_014737
SEQ ID NO: 1105
SEQ ID NO: 1106


association (RaIGDS





RCAN3// RCAN family
NM_013441
SEQ ID NO: 1107
SEQ ID NO: 1108


member 3





RCSD1 //RCSD
NM_052862
SEQ ID NO: 1109
SEQ ID NO: 1110


domain containing 1





RGS10// regulator of
NM_001005339
SEQ ID NO: 1111
SEQ ID NO: 1112


G-protein signaling 10





RGS9// regulator of G-
NM_003835
SEQ ID NO: 1113
SEQ ID NO: 1114


protein signaling 9





RHOBTB1 //Rho-
NM_001242359,
SEQ ID NO: 1115
SEQ ID NO: 1116


related BTB domain





containing 1





RNASE3//
NM_002935
SEQ ID NO: 1117
SEQ ID NO: 1118


ribonuclease, RNase





A family, 3 (eosinophil





cationic protein)





RTKN2 //rhotekin 2
NM_145307
SEQ ID NO: 1119
SEQ ID NO: 1120


RUNX2 //runt-related
NM_001024630
SEQ ID NO: 1121
SEQ ID NO: 1122


transcription factor 2





SCML4 //sex comb on
NM_198081
SEQ ID NO: 1123
SEQ ID NO: 1124


midleg-like 4





(Drosophila)





SEPT3// septin 3
NM_019106
SEQ ID NO: 1125
SEQ ID NO: 1126


SH2D1A //SH2
NM_002351
SEQ ID NO: 1127
SEQ ID NO: 1128


domain protein 1A





SLC16A9// solute
NM_194298
SEQ ID NO: 1129
SEQ ID NO: 1130


carrier family 16,





member 9





(monocarboxylic acid





transporter 9)





SLCO4A1// solute
NM_016354
SEQ ID NO: 1131
SEQ ID NO: 1132


carrier organic anion





transporter family,





member 4A1





SMA5
AK289851
SEQ ID NO: 1133
SEQ ID NO: 1134


//glucuronidase, beta





pseudogene





ST3GAL5 //ST3 beta-
NM_003896
SEQ ID NO: 1135
SEQ ID NO: 1136


galactoside alpha-2,3-





sialyltransferase 5





SULF2 //sulfatase 2
NM_018837
SEQ ID NO: 1137
SEQ ID NO: 1138


TCF7 //transcription
NM_201634
SEQ ID NO: 1139
SEQ ID NO: 1140


factor 7 (T-cell





specific, HMG-box)





TMEM176A//
NM_018487
SEQ ID NO: 1141
SEQ ID NO: 1142


transmembrane





protein 176A





TMEM45A//
NM_018004
SEQ ID NO: 1143
SEQ ID NO: 1144


transmembrane





protein 45A





TRAF3IP3// TRAF3
NM_025228
SEQ ID NO: 1145
SEQ ID NO: 1146


interacting protein 3





TREM2// triggering
NM_018965
SEQ ID NO: 1147
SEQ ID NO: 1148


receptor expressed on





myeloid cells 2





TYR //tyrosinase
NM_000372
SEQ ID NO: 1149
SEQ ID NO: 1150


(oculocutaneous





albinism IA)





UBASH3A //ubiquitin
NM_018961
SEQ ID NO: 1151
SEQ ID NO: 1152


associated and SH3





domain containing, A
















TABLE 2







Genes Down-regulated Upon STX-100 Administration












Nucleotide
Protein


gene_assignment
Genbank No.
Sequence
Sequence





// GPR82 // G protein-
NM_080817
SEQ ID NO: 463
SEQ ID NO: 464


coupled receptor 82





// ENPP1 //
NM_006208
SEQ ID NO: 465
SEQ ID NO: 466


ectonucleotide





pyrophosphatase/phos-





phodiesterase 1





// THBS1 //
NM_003246
SEQ ID NO: 467
SEQ ID NO: 468


thrombospondin 1





// SYDE2 // synapse
NM_032184
SEQ ID NO: 469
SEQ ID NO: 470


defective 1, Rho





GTPase, homolog 2





(C. elegans)





// IG5F2 //
NM_004258
SEQ ID NO: 471
SEQ ID NO: 472


immunoglobulin





superfamily, member 2





// RETN // resistin
NM_020415
SEQ ID NO: 473
SEQ ID NO: 474


// GPR116 // G protein-
NM_015234
SEQ ID NO: 475
SEQ ID NO: 476


coupled receptor 116





// TRHDE //
NM_013381
SEQ ID NO: 477
SEQ ID NO: 478


thyrotropin-releasing





hormone degrading





enzyme





// CACNB4 // calcium
NM_000726
SEQ ID NO: 479
SEQ ID NO: 480


channel, voltage-





dependent, beta 4





subunit





// PLXDC2 // plexin
NM_032812
SEQ ID NO: 481
SEQ ID NO: 482


domain containing 2





// SMC6 // structural
NM_001142286
SEQ ID NO: 483
SEQ ID NO: 484


maintenance of





chromosomes 6





// OLR1 // oxidized low
NM_002543
SEQ ID NO: 485
SEQ ID NO: 486


density lipoprotein





(lectin-like) receptor 1





// SERPINE1 // serpin
NM_000602
SEQ ID NO: 487
SEQ ID NO: 488


peptidase inhibitor,





clade E (nexin,





plasminogen activator





inhibitor type 1),





member 1





// MEST // mesoderm
NM_002402
SEQ ID NO: 489
SEQ ID NO: 490


specific transcript





homolog (mouse)





// LY75 // lymphocyte
NM_002349
SEQ ID NO: 491
SEQ ID NO: 492


antigen 75





// PRKAR2B // protein
NM_002736
SEQ ID NO: 493
SEQ ID NO: 494


kinase, cAMP-





dependent, regulatory,





type II, beta





// TCF7L2 //
NM_001146274
SEQ ID NO: 495
SEQ ID NO: 496


transcription factor 7-





like 2 (T-cell specific,





HMG-box)





// CLEC5A // C-type
NM_013252
SEQ ID NO: 497
SEQ ID NO: 498


lectin domain family 5,





member A





// AWAT2 // acyl-CoA
NM_001002254
SEQ ID NO: 499
SEQ ID NO: 500


wax alcohol





acyltransferase 2





// B3GNT5 // UDP-
NM_032047
SEQ ID NO: 501
SEQ ID NO: 502


GlcNAc:betaGal beta-





1,3-N-





acetylglucosaminyltrans-





ferase 5





// MICAL3 //
NM_015241
SEQ ID NO: 503
SEQ ID NO: 504


microtubule associated





monoxygenase,





calponin and LIM





domain containing 3





// PLAC8 // placenta-
NM_016619
SEQ ID NO: 505
SEQ ID NO: 506


specific 8





// SLC11A1 // solute
NM_000578
SEQ ID NO: 507
SEQ ID NO: 508


carrier family 11





(proton-coupled





divalent metal ion





transporters), member 1





// HSF5 // heat shock
NM_001080439
SEQ ID NO: 509
SEQ ID NO: 510


transcription factor





family member 5//





17q22 // 124535 ///





ENST00000323777 //





HSF5 // heat shock





transcription factor





family member 5





// EDIL3 // EGF-like
NM_005711
SEQ ID NO: 511
SEQ ID NO: 512


repeats and discoidin





I-like domains 3





// GLRB // glycine
NM_000824
SEQ ID NO: 513
SEQ ID NO: 514


receptor, beta





// GPR120 // G protein-
NM_181745
SEQ ID NO: 515
SEQ ID NO: 516


coupled receptor 120





// EMR1 // egf-like
NM_001974
SEQ ID NO: 517
SEQ ID NO: 518


module containing,





mucin-like, hormone





receptor-like 1





// CHI3L1 // chitinase
NM_001276
SEQ ID NO: 519
SEQ ID NO: 520


3-like 1 (cartilage





glycoprotein-39)





// RTN1 // reticulon 1
NM_021136
SEQ ID NO: 521
SEQ ID NO: 522


// GCA // grancalcin,
NM_012198
SEQ ID NO: 523
SEQ ID NO: 524


EF-hand calcium





binding protein





// CLIP4 // CAP-GLY
NM_024692
SEQ ID NO: 525
SEQ ID NO: 526


domain containing





linker protein family,





member 4





// SGMS1 //
NM_147156
SEQ ID NO: 527
SEQ ID NO: 528


sphingomyelin





synthase 1





// FN1 // fibronectin 1
NM_212482
SEQ ID NO: 529
SEQ ID NO: 530


// FAM9C // family with
NM_174901
SEQ ID NO: 531
SEQ ID NO: 532


sequence similarity 9,





member C





// FER1L6 // fer-1-like
NM_001039112
SEQ ID NO: 533
SEQ ID NO: 534


6 (C. elegans)





// PGM5P2 //
NR_002836
SEQ ID NO: 535
N/A


phosphoglucomutase





5 pseudogene 2





// MMD // monocyte to
NM_012329
SEQ ID NO: 536
SEQ ID NO: 537


macrophage





differentiation-





associated





// SEMA3D // sema
NM_152754
SEQ ID NO: 538
SEQ ID NO: 539


domain,





immunoglobulin





domain (Ig), short





basic domain,





secreted, (semaphorin) 3D





// GEN1 // Gen
NM_182625
SEQ ID NO: 540
SEQ ID NO: 541


homolog 1,





endonuclease





(Drosophila)





// PGM5P2 //
NR_002836
SEQ ID NO: 542
N/A


phosphoglucomutase





5 pseudogene 2





// ALOX5 //
NM_000698
SEQ ID NO: 543
SEQ ID NO: 544


arachidonate 5-





lipoxygenase





// CARD17 // caspase
NM_001007232
SEQ ID NO: 545
SEQ ID NO: 546


recruitment domain





family, member 17





// ITGA6 // integrin,
NM_000210
SEQ ID NO: 547
SEQ ID NO: 548


alpha 6





// CAMP // cathelicidin
NM_004345
SEQ ID NO: 549
SEQ ID NO: 550


antimicrobial peptide





// MTHFD1L //
NM_015440
SEQ ID NO: 551
SEQ ID NO: 552


methylenetetrahydrofol-





ate dehydrogenase





(NADP+ dependent)





1-like





// MINK1 // misshapen-
NM_153827
SEQ ID NO: 553
SEQ ID NO: 554


like kinase 1





(zebrafish)





// FHL1 // four and a
NM_001159702
SEQ ID NO: 555
SEQ ID NO: 556


half LIM domains 1











// GPAM // glycerol-3-
NM_020918
SEQ ID NO: 557
SEQ ID NO: 558


phosphate





acyltransferase,





mitochondrial





// AMIGO2 // adhesion
NM_001143668
SEQ ID NO: 559
SEQ ID NO: 560


molecule with Ig-like





domain 2





// TREM1 // triggering
NM_018643
SEQ ID NO: 561
SEQ ID NO: 562


receptor expressed on





myeloid cells 1





// STAP1 // signal
NM_012108
SEQ ID NO: 563
SEQ ID NO: 564


transducing adaptor





family member 1





// ABCG1 //ATP-
NM_207627
SEQ ID NO: 565
SEQ ID NO: 566


binding cassette, sub-





family G (WHITE),





member 1





// PRSS12 // protease,
NM_003619
SEQ ID NO: 567
SEQ ID NO: 568


serine, 12





(neurotrypsin,





motopsin)





// NIACR2 // niacin
NM_006018
SEQ ID NO: 569
SEQ ID NO: 570


receptor 2





// PPARG //
NM_138712
SEQ ID NO: 571
SEQ ID NO: 572


peroxisome





proliferator-activated





receptor gamma





// ENO3 // enolase 3
NM_001976
SEQ ID NO: 573
SEQ ID NO: 574


(beta, muscle)





// DLEU2L // deleted in
NR_002771
SEQ ID NO: 575
N/A


lymphocytic leukemia





2-like





// NOSTRIN // nitric
NM_001039724
SEQ ID NO: 576
SEQ ID NO: 577


oxide synthase





trafficker





// KCNA3 // potassium
NM_002232
SEQ ID NO: 578
SEQ ID NO: 579


voltage-gated channel,





shaker-related





subfamily, member 3





// CGNL1 // cingulin-
NM_032866
SEQ ID NO: 580
SEQ ID NO: 581


like 1





// MATN2 // matrilin 2
NM_002380
SEQ ID NO: 582
SEQ ID NO: 583


// CLEC4D // C-type
NM_080387
SEQ ID NO: 584
SEQ ID NO: 585


lectin domain family 4,





member D





// CENPV //
NM_181716
SEQ ID NO: 586
SEQ ID NO: 587


centromere protein V





// RAB13 // RAB13,
NM_002870
SEQ ID NO: 588
SEQ ID NO: 589


member RAS





oncogene family





// OLFML3 //
NM_020190
SEQ ID NO: 590
SEQ ID NO: 591


olfactomedin-like 3





// KCNMB1 //
NM_004137
SEQ ID NO: 592
SEQ ID NO: 593


potassium large





conductance calcium-





activated channel,





subfamily M, beta





member 1





// FPR1 // formyl
NM_002029
SEQ ID NO: 594
SEQ ID NO: 595


peptide receptor 1





// DST // dystonin
NM_001144769
SEQ ID NO: 596
SEQ ID NO: 597








// CD1D // CD1d
NM_001766
SEQ ID NO: 598
SEQ ID NO: 599


molecule





// PECAM1 //
NM_000442
SEQ ID NO: 600
SEQ ID NO: 601


platelet/endothelial cell





adhesion molecule





// DDHD1 // DDHD
NM_001160148
SEQ ID NO: 602
SEQ ID NO: 603


domain containing 1





// KLHDC8B // kelch
NM_173546
SEQ ID NO: 604
SEQ ID NO: 605


domain containing 8B





// ATP8B4 // ATPase,
NM_024837
SEQ ID NO: 606
SEQ ID NO: 607


class I, type 8B,





member 4





// GPD1 // glycerol-3-
NM_005276
SEQ ID NO: 608
SEQ ID NO: 609


phosphate





dehydrogenase 1





(soluble)





// MCF2L2 // MCF.2
NM_015078
SEQ ID NO: 610
SEQ ID NO: 611


cell line derived





transforming





sequence-like 2





// SVIL // supervillin
NM_021738
SEQ ID NO: 612
SEQ ID NO: 613


// ICAM3 // intercellular
NM_002162
SEQ ID NO: 614
SEQ ID NO: 615


adhesion molecule 3





// NLRC4 // NLR
NM_021209
SEQ ID NO: 616
SEQ ID NO: 617


family, CARD domain





containing 4





// SLC25A16 // solute
NM_152707
SEQ ID NO: 618
SEQ ID NO: 619


carrier family 25





(mitochondrial carrier;





Graves disease





autoantigen), member 16





// CD163 // CD163
NM_004244
SEQ ID NO: 620
SEQ ID NO: 621


molecule





// GPR162 // G protein-
NM_019858
SEQ ID NO: 622
SEQ ID NO: 623


coupled receptor 162





// RAB30 // RAB30,
NM_014488
SEQ ID NO: 624
SEQ ID NO: 625


member RAS





oncogene family





// SMAD7 // SMAD
NM_005904
SEQ ID NO: 626
SEQ ID NO: 627


family member 7





// HBEGF // heparin-
NM_001945
SEQ ID NO: 628
SEQ ID NO: 629


binding EGF-like





growth factor





// RHBDD2 // rhomboid
NM_001040457
SEQ ID NO: 630
SEQ ID NO: 631


domain containing 2





// GPR116 // G protein-
NM_015234
SEQ ID NO: 632
SEQ ID NO: 633


coupled receptor 116





// ITPR1 // inositol
NM_001099952
SEQ ID NO: 634
SEQ ID NO: 635


1,4,5-triphosphate





receptor, type 1





// PIWIL1 // piwi-like 1
NM_004764
SEQ ID NO: 636
SEQ ID NO: 637


(Drosophila)





// TANC2 //
NM_025185
SEQ ID NO: 638
SEQ ID NO: 639


tetratricopeptide





repeat, ankyrin repeat





and coiled-coil





containing 2





// PHGDH //
NM_006623
SEQ ID NO: 640
SEQ ID NO: 641


phosphoglycerate





dehydrogenase





// MTHFS // 5,10-
NM_006441
SEQ ID NO: 642
SEQ ID NO: 643


methenyltetrahydrofol-





ate synthetase (5-





formyltetrahydrofolate





cyclo-ligase)





// PGM5 //
NM_021965
SEQ ID NO: 644
SEQ ID NO: 645


phosphoglucomutase 5











// CHI3L2 // chitinase
NM_001025199
SEQ ID NO: 646
SEQ ID NO: 647


3-like 2





// C19orf59 //
NM_174918
SEQ ID NO: 648
SEQ ID NO: 649


chromosome 19 open





reading frame 59





// CDH1 // cadherin 1,
NM_004360
SEQ ID NO: 650
SEQ ID NO: 651


type 1, E-cadherin





(epithelial)











// LDLRAP1 // low
NM_015627
SEQ ID NO: 652
SEQ ID NO: 653


density lipoprotein





receptor adaptor





protein 1





// PANX1 // pannexin 1
NM_015368
SEQ ID NO: 654
SEQ ID NO: 655


// DGAT2 //
NM_032564
SEQ ID NO: 656
SEQ ID NO: 657


diacylglycerol O-





acyltransferase





homolog 2 (mouse)





// ABHD5 //
NM_016006
SEQ ID NO: 658
SEQ ID NO: 659


abhydrolase domain





containing 5





// STX6 // syntaxin 6
NM_005819
SEQ ID NO: 660
SEQ ID NO: 661


// MCTP1 // multiple
NM_024717
SEQ ID NO: 662
SEQ ID NO: 663


C2 domains,





transmembrane 1





// CCRL1 // chemokine
NM_178445
SEQ ID NO: 664
SEQ ID NO: 665


(C-C motif) receptor-





like 1





// FRMD4A // FERM
NM_018027
SEQ ID NO: 666
SEQ ID NO: 667


domain containing 4A





// CD300LD // CD300
NM_001115152
SEQ ID NO: 668
SEQ ID NO: 669


molecule-like family





member d





// SIRPB2 // signal-
NM_001122962
SEQ ID NO: 670
SEQ ID NO: 671


regulatory protein beta 2





// C9orf150 //
NM_203403
SEQ ID NO: 672
SEQ ID NO: 673


chromosome 9 open





reading frame 150





// TMEM65 //
NM_194291
SEQ ID NO: 674
SEQ ID NO: 675


transmembrane





protein 65





// CDC42EP3 //
NM_006449
SEQ ID NO: 676
SEQ ID NO: 677


CDC42 effector protein





(Rho GTPase binding) 3





// UBASH3B //
NM_032873
SEQ ID NO: 678
SEQ ID NO: 679


ubiquitin associated





and SH3 domain





containing, B





// TTC39B //
NM_152574
SEQ ID NO: 680
SEQ ID NO: 681


tetratricopeptide repeat





domain 39B





// TGM2 //
NM_004613
SEQ ID NO: 682
SEQ ID NO: 683


transglutaminase 2 (C





polypeptide, protein-





glutamine-gamma-





glutamyltransferase)





// KIAA1598 //
NM_001127211
SEQ ID NO: 684
SEQ ID NO: 685


KIAA1598





// FCGR1B // Fc
NM_001017986
SEQ ID NO: 686
SEQ ID NO: 687


fragment of IgG, high





affinity Ib, receptor





(CD64)





// ALDH2 // aldehyde
NM_000690
SEQ ID NO: 688
SEQ ID NO: 689


dehydrogenase 2





family (mitochondrial)





// TECR // trans-2,3-
NM_138501
SEQ ID NO: 690
SEQ ID NO: 691


enoyl-CoA reductase





// LAPTM4B //
NM_018407
SEQ ID NO: 692
SEQ ID NO: 693


lysosomal protein





transmembrane 4 beta





// DEPDC6 // DEP
NM_022783
SEQ ID NO: 694
SEQ ID NO: 695


domain containing 6





// FCGR1A // Fc
NM_000566
SEQ ID NO: 696
SEQ ID NO: 697


fragment of IgG, high





affinity Ia, receptor





(CD64)





// CRYBG3 // beta-
NM_153605
SEQ ID NO: 698
SEQ ID NO: 699


gamma crystallin





domain containing 3





// LILRA5 // leukocyte
NM_021250
SEQ ID NO: 700
SEQ ID NO: 701


immunoglobulin-like





receptor, subfamily A





(with TM domain),





member 5





// FCGR1A // Fc
NM_000566
SEQ ID NO: 702
SEQ ID NO: 703


fragment of IgG, high





affinity Ia, receptor





(CD64)





// PDCL // phosducin-
NM_005388
SEQ ID NO: 704
SEQ ID NO: 705


like





// DGKH //
NM_178009
SEQ ID NO: 706
SEQ ID NO: 707


diacylglycerol kinase,





eta





// FRK // fyn-related
NM_002031
SEQ ID NO: 708
SEQ ID NO: 709


kinase





ENST00000367321 //
ENST00000367321
SEQ ID NO: 710
SEQ ID NO: 711


MTHFD1L //





methylenetetrahydrofol-





ate dehydrogenase





(NADP+ dependent) 1-





like





// POPDC3 // popeye
NM_022361
SEQ ID NO: 712
SEQ ID NO: 713


domain containing 3





// AIM2 // absent in
NM_004833
SEQ ID NO: 714
SEQ ID NO: 715


melanoma 2





// CYSLTR2 // cysteinyl
NM_020377
SEQ ID NO: 716
SEQ ID NO: 717


leukotriene receptor 2





// RP5-1022P6.2 //
NM_019593
SEQ ID NO: 718
SEQ ID NO: 719


hypothetical protein





KIAA1434





// GPR124 // G protein-
NM_032777
SEQ ID NO: 720
SEQ ID NO: 721


coupled receptor 124





// SVIP // small
NM_148893
SEQ ID NO: 722
SEQ ID NO: 723


VCP/p97-interacting





protein





// GPHN // gephyrin
NM_020806
SEQ ID NO: 724
SEQ ID NO: 725


// HK3 // hexokinase 3
NM_002115
SEQ ID NO: 726
SEQ ID NO: 727


(white cell)





// ALOX5AP //
NM_001629
SEQ ID NO: 728
SEQ ID NO: 729


arachidonate 5-





lipoxygenase-activating





protein





// NCF1 // neutrophil
NM_000265
SEQ ID NO: 730
SEQ ID NO: 731


cytosolic factor 1





// NGFRAP1 //nerve
NM_206917
SEQ ID NO: 732
SEQ ID NO: 733


growth factor receptor





(TNFRSF16)





associated protein 1





// LGR4 // leucine-rich
NM_018490
SEQ ID NO: 734
SEQ ID NO: 735


repeat-containing G





protein-coupled





receptor 4





// CABLES1 // Cdk5
NM_138375
SEQ ID NO: 736
SEQ ID NO: 737


and Abl enzyme





substrate 1





// NCF1 // neutrophil
NM_000265
SEQ ID NO: 738
SEQ ID NO: 739


cytosolic factor 1





// FLOT2 // flotillin 2
NM_004475
SEQ ID NO: 740
SEQ ID NO: 741


// CDC42BPB //
NM_006035
SEQ ID NO: 742
SEQ ID NO: 743


CDC42 binding protein





kinase beta (DMPK-





like)





// LRP1 // low density
NM_002332
SEQ ID NO: 744
SEQ ID NO: 745


lipoprotein-related





protein 1 (alpha-2-





macroglobulin





receptor)





// C17orf76 //
NM_001113567
SEQ ID NO: 746
SEQ ID NO: 747


chromosome 17 open





reading frame 76





// TMEM150B //
NM_001085488
SEQ ID NO: 748
SEQ ID NO: 749


transmembrane





protein 150B





// ENTPD3 //
NM_001248
SEQ ID NO: 750
SEQ ID NO: 751


ectonucleoside





triphosphate





diphosphohydrolase 3





// HLCS //
NM_000411
SEQ ID NO: 752
SEQ ID NO: 753


holocarboxylase





synthetase (biotin-





(proprionyl-Coenzyme





A-carboxylase (ATP-





hydrolysing)) ligase)





// DENND1B //
NM_001142795
SEQ ID NO: 754
SEQ ID NO: 755


DENN/MADD domain





containing 1B





// MYO6 // myosin VI
NM_004999
SEQ ID NO: 756
SEQ ID NO: 757


// TXNDC16 //
NM_020784
SEQ ID NO: 758
SEQ ID NO: 759


thioredoxin domain





containing 16





// FLVCR2 // feline
NM_017791
SEQ ID NO: 760
SEQ ID NO: 761


leukemia virus





subgroup C cellular





receptor family,





member 2





// ABCC4 // ATP-
NM_005845
SEQ ID NO: 762
SEQ ID NO: 763


binding cassette, sub-





family C (CFTR/MRP),





member 4





// PFKFB3 /16-
NM_004566
SEQ ID NO: 764
SEQ ID NO: 765


phosphofructo-2-





kinase/fructose-2,6-





biphosphatase 3





// SLC36A4 // solute
NM_152313
SEQ ID NO: 766
SEQ ID NO: 767


carrier family 36





(proton/amino acid





symporter), member 4





// CLEC4E // C-type
NM_014358
SEQ ID NO: 768
SEQ ID NO: 769


lectin domain family 4,





member E





// CD302 // CD302
NM_014880
SEQ ID NO: 770
SEQ ID NO: 771


molecule





// SFRP2 // secreted
NM_003013
SEQ ID NO: 772
SEQ ID NO: 773


frizzled-related protein 2





// NCF1 // neutrophil
NM_000265
SEQ ID NO: 774
SEQ ID NO: 775


cytosolic factor 1





// MC3R //
NM_019888
SEQ ID NO: 776
SEQ ID NO: 777


melanocortin 3





receptor





// NP // nucleoside
NM_000270
SEQ ID NO: 778
SEQ ID NO: 779


phosphorylase





// SLC9A7 // solute
NM_032591
SEQ ID NO: 780
SEQ ID NO: 781


carrier family 9





(sodium/hydrogen





exchanger), member 7





// NID1 // nidogen 1
NM_002508
SEQ ID NO: 782
SEQ ID NO: 783


// GPRIN3 // GPRIN
NM_198281
SEQ ID NO: 784
SEQ ID NO: 785


family member 3





// GLIPR2 // GLI
NM_022343
SEQ ID NO: 786
SEQ ID NO: 787


pathogenesis-related 2





// PLEKHH2 //
NM_172069
SEQ ID NO: 788
SEQ ID NO: 789


pleckstrin homology





domain containing,





family H (with MyTH4





domain) member 2





// MERTK // c-mer
NM_006343
SEQ ID NO: 790
SEQ ID NO: 791


proto-oncogene





tyrosine kinase





ENST00000367321 //
ENST00000367321
SEQ ID NO: 792
SEQ ID NO: 793


MTHFD1L //





methylenetetrahydrofol-





ate dehydrogenase





(NADP+ dependent)





1-like





// AK3L1 // adenylate
NM_001005353
SEQ ID NO: 794
SEQ ID NO: 795


kinase 3-like 1





// RASA1 // RAS p21
NM_002890
SEQ ID NO: 796
SEQ ID NO: 797


protein activator





(GTPase activating





protein) 1











// CXCL16 //
NM_022059
SEQ ID NO: 798
SEQ ID NO: 799


chemokine (C-X-C





motif) ligand 16





// AXL // AXL receptor
NM_021913
SEQ ID NO: 800
SEQ ID NO: 801


tyrosine kinase





// PDE3B //
NM_000922
SEQ ID NO: 802
SEQ ID NO: 803


phosphodiesterase 3B,





cGMP-inhibited





ENST00000367321 //
ENST00000367321
SEQ ID NO: 792
SEQ ID NO: 793


MTHFD1L //





methylenetetrahydrofol-





ate dehydrogenase





(NADP+ dependent)





1-like





// LONRF3 // LON
NM_001031855
SEQ ID NO: 804
SEQ ID NO: 805


peptidase N-terminal





domain and ring finger 3





// PION // pigeon
NM_017439
SEQ ID NO: 806
SEQ ID NO: 807


homolog (Drosophila)





// BHLHE41 // basic
NM_030762
SEQ ID NO: 808
SEQ ID NO: 809


helix-loop-helix family,





member e41





// TLN2 // talin 2
NM_015059
SEQ ID NO: 810
SEQ ID NO: 811


// SPNS1 // spinster
NM_032038
SEQ ID NO: 812
SEQ ID NO: 813


homolog 1





(Drosophila)





// MEFV //
NM_000243
SEQ ID NO: 814
SEQ ID NO: 815


Mediterranean fever





// FAM69A //family
NM_001006605
SEQ ID NO: 816
SEQ ID NO: 817


with sequence





similarity 69, member A





// LRRFIP1 // leucine
NM_001137550
SEQ ID NO: 818
SEQ ID NO: 819


rich repeat (in FLII)





interacting protein 1





// ATP10A // ATPase,
NM_024490
SEQ ID NO: 820
SEQ ID NO: 821


class V, type 10A











// EGLN3 // egl nine
NM_022073
SEQ ID NO: 822
SEQ ID NO: 823


homolog 3 (C.






elegans)






// FGD2 // FYVE,
NM_173558
SEQ ID NO: 824
SEQ ID NO: 825


RhoGEF and PH





domain containing 2





// LSM6 // LSM6
NM_007080
SEQ ID NO: 826
SEQ ID NO: 827


homolog, U6 small





nuclear RNA





associated (S.






cerevisiae)






// MANBA //
NM_005908
SEQ ID NO: 828
SEQ ID NO: 829


mannosidase, beta A,





lysosomal





// CD300LF // CD300
NM_139018
SEQ ID NO: 830
SEQ ID NO: 831


molecule-like family





member f





// C1orf38 //
NM_001105556
SEQ ID NO: 832
SEQ ID NO: 833


chromosome 1 open





reading frame 38





// IR52 // insulin
NM_003749
SEQ ID NO: 834
SEQ ID NO: 835


receptor substrate 2





// CEBPB //
NM_005194
SEQ ID NO: 836
SEQ ID NO: 837


CCAAT/enhancer





binding protein





(C/EBP), beta





// RGL3 // ral guanine
NM_001161616
SEQ ID NO: 838
SEQ ID NO: 839


nucleotide dissociation





stimulator-like 3





// HIPK2 //
NM_022740
SEQ ID NO: 840
SEQ ID NO: 841


homeodomain





interacting protein





kinase 2





// SLC25A37 // solute
NM_016612
SEQ ID NO: 842
SEQ ID NO: 843


carrier family 25,





member 37





// NRIP1 // nuclear
NM_003489
SEQ ID NO: 844
SEQ ID NO: 845


receptor interacting





protein 1





// PION // pigeon
NM_017439
SEQ ID NO: 846
SEQ ID NO: 847


homolog (Drosophila)





// TGFBR2 //
NM_001024847
SEQ ID NO: 848
SEQ ID NO: 849


transforming growth





factor, beta receptor II





(70/80 kDa)





// UBE2CBP //
NM_198920
SEQ ID NO: 850
SEQ ID NO: 851


ubiquitin-conjugating





enzyme E2C binding





protein





// PCCA // propionyl
NM_000282
SEQ ID NO: 852
SEQ ID NO: 853


Coenzyme A





carboxylase, alpha





polypeptide





// TIMD4 // T-cell
NM_138379
SEQ ID NO: 854
SEQ ID NO: 855


immunoglobulin and





mucin domain





containing 4





// NIACR1 // niacin
NM_177551
SEQ ID NO: 856
SEQ ID NO: 857


receptor 1











// IL28RA // interleukin
NM_170743
SEQ ID NO: 858
SEQ ID NO: 859


28 receptor, alpha





(interferon, lambda





receptor)





// RARA // retinoic acid
NM_000964
SEQ ID NO: 860
SEQ ID NO: 861


receptor, alpha





// ACSL4 // acyl-CoA
NM_022977
SEQ ID NO: 862
SEQ ID NO: 863


synthetase long-chain





family member 4





// SGMS2 //
NM_001136258
SEQ ID NO: 864
SEQ ID NO: 865


sphingomyelin





synthase 2





// GMPR // guanosine
NM_006877
SEQ ID NO: 866
SEQ ID NO: 867


monophosphate





reductase





// SKIL // SKI-like
NM_005414
SEQ ID NO: 868
SEQ ID NO: 869


oncogene





// HIP1 // huntingtin
NM_005338
SEQ ID NO: 870
SEQ ID NO: 871


interacting protein 1





// EXOC5 // exocyst
NM_006544
SEQ ID NO: 872
SEQ ID NO: 873


complex component 5





// ZC3H13 // zinc finger
NM_015070
SEQ ID NO: 874
SEQ ID NO: 875


CCCH-type containing 13





// IMPAD1 // inositol
NM_017813
SEQ ID NO: 876
SEQ ID NO: 877


monophosphatase





domain containing 1





// SEPT4 // septin 4
NM_080415
SEQ ID NO: 879
SEQ ID NO: 880


// SLC1A5 // solute
NM_005628
SEQ ID NO: 881
SEQ ID NO: 882


carrier family 1 (neutral





amino acid





transporter), member 5





// EML4 // echinoderm
NM_019063
SEQ ID NO: 883
SEQ ID NO: 884


microtubule associated





protein like 4





// ANPEP // alanyl
NM_001150
SEQ ID NO: 885
SEQ ID NO: 886


(membrane)





aminopeptidase





//XG // Xg blood group
NM_001141919
SEQ ID NO: 887
SEQ ID NO: 888


// PPP1R13B // protein
NM_015316
SEQ ID NO: 889
SEQ ID NO: 890


phosphatase 1,





regulatory (inhibitor)





subunit 13B





// IL1RAP // interleukin
NM_002182
SEQ ID NO: 891
SEQ ID NO: 892


1 receptor accessory





protein





// AR // androgen
NM_000044
SEQ ID NO: 893
SEQ ID NO: 894


receptor





// SLC25A33 // solute
NM_032315
SEQ ID NO: 895
SEQ ID NO: 896


carrier family 25,





member 33





// C11orf59 //
BC001706
SEQ ID NO: 897
SEQ ID NO: 898


chromosome 11 open





reading frame 59





// ABHD2 //
NM_007011
SEQ ID NO: 899
SEQ ID NO: 900


abhydrolase domain





containing 2





// DENND5A //
NM_015213
SEQ ID NO: 901
SEQ ID NO: 902


DENN/MADD domain





containing 5A





// KCNJ15 // potassium
NM_002243
SEQ ID NO: 903
SEQ ID NO: 904


inwardly-rectifying





channel, subfamily J,





member 15





// CHRNA5 //
NM_000745
SEQ ID NO: 905
SEQ ID NO: 906


cholinergic receptor,





nicotinic, alpha 5





// IRAK3 // interleukin-1
NM_007199
SEQ ID NO: 907
SEQ ID NO: 908


receptor-associated





kinase 3





// SYTL4 //
NM_080737
SEQ ID NO: 909
SEQ ID NO: 910


synaptotagmin-like 4





// SNORD38B // small
NR_001457
SEQ ID NO: 911
N/A


nucleolar RNA, C/D





box 38B





// LRRFIP1 // leucine
NM_001137550
SEQ ID NO: 912
SEQ ID NO: 913


rich repeat (in FLII)





interacting protein 1





// ZNF124 // zinc finger
NM_003431
SEQ ID NO: 914
SEQ ID NO: 915


protein 124





// CLEC12A // C-type
NM_138337
SEQ ID NO: 916
SEQ ID NO: 917


lectin domain family





12, member A





// CBL // Cas-Br-M
NM_005188
SEQ ID NO: 918
SEQ ID NO: 919


(murine) ecotropic





retroviral transforming





sequence





// MMP14 // matrix
NM_004995
SEQ ID NO: 920
SEQ ID NO: 921


metallopeptidase 14





(membrane-inserted)





// CCDC23 // coiled-
NM_199342
SEQ ID NO: 922
SEQ ID NO: 923


coil domain containing 23





// TBC1D2B // TBC1
NM_144572
SEQ ID NO: 924
SEQ ID NO: 925


domain family,





member 2B





// PAK1 //p21 protein
NM_001128620
SEQ ID NO: 926
SEQ ID NO: 927


(Cdc42/Rac)-activated





kinase 1





// PAQR5 // progestin
NM_001104554
SEQ ID NO: 928
SEQ ID NO: 929


and adipoQ receptor





family member V





// BNC2 // basonuclin 2
NM_017637
SEQ ID NO: 930
SEQ ID NO: 931


// DENND1B //
NM_144977
SEQ ID NO: 932
SEQ ID NO: 933


DENN/MADDdomain





containing 1B





// PPP2R3A // protein
NM_002718
SEQ ID NO: 934
SEQ ID NO: 935


phosphatase 2





(formerly 2A),





regulatory subunit B″,





alpha





// ALDOC // aldolase
NM_005165
SEQ ID NO: 936
SEQ ID NO: 937


C, fructose-





bisphosphate





// KCTD10 //
NM_031954
SEQ ID NO: 938
SEQ ID NO: 939


potassium channel





tetramerisation domain





containing 10





// BIN2 // bridging
NM_016293
SEQ ID NO: 940
SEQ ID NO: 941


integrator 2





// FAM82A2 //family
NM_018145
SEQ ID NO: 942
SEQ ID NO: 943


with sequence





similarity 82, member A2





// TNIP3 // TNFAIP3
NM_024873
SEQ ID NO: 944
SEQ ID NO: 945


interacting protein 3





// FGD4 // FYVE,
NM_139241
SEQ ID NO: 946
SEQ ID NO: 947


RhoGEF and PH





domain containing 4





// FAM89A //family
NM_198552
SEQ ID NO: 948
SEQ ID NO: 949


with sequence





similarity 89, member A





// SNX10 // sorting
NM_013322
SEQ ID NO: 950
SEQ ID NO: 951


nexin 10





// FBXO9 // F-box
AK095307
SEQ ID NO: 952
N/A


protein 9





// PLCB2 //
NM_004573
SEQ ID NO: 953
SEQ ID NO: 954


phospholipase C, beta 2





// HACL1 // 2-
NM_012260
SEQ ID NO: 955
SEQ ID NO: 956


hydroxyacyl-CoA lyase 1





// KIAA0564 //
NM_015058
SEQ ID NO: 957
SEQ ID NO: 958


KIAA0564





// MNDA // myeloid cell
NM_002432
SEQ ID NO: 959
SEQ ID NO: 960


nuclear differentiation





antigen





// ACOT11 // acyl-CoA
NM_147161
SEQ ID NO: 961
SEQ ID NO: 962


thioesterase 11





// MAP3K8 // mitogen-
NM_005204
SEQ ID NO: 963
SEQ ID NO: 964


activated protein





kinase kinase kinase 8





// C5orf27 //
NR_026936
SEQ ID NO: 965
N/A


chromosome 5 open





reading frame 27





// CD14 // CD14
NM_000591
SEQ ID NO: 966
SEQ ID NO: 967


molecule





// FMNL2 // formin-
NM_052905
SEQ ID NO: 968
SEQ ID NO: 969


like 2





// FMNL3 // formin-
NM_175736
SEQ ID NO: 970
SEQ ID NO: 971


like 3





// PLEK // pleckstrin
NM_002664
SEQ ID NO: 972
SEQ ID NO: 973


// CXCR7 // chemokine
NM_020311
SEQ ID NO: 974
SEQ ID NO: 975


(C-X-C motif) receptor 7





// PLAUR //
NM_002659
SEQ ID NO: 976
SEQ ID NO: 977


plasminogen activator,





urokinase receptor





// BTK // Bruton
NM_000061
SEQ ID NO: 978
SEQ ID NO: 979


agammaglobulinemia





tyrosine kinase





//VAMP4 // vesicle-
NM_003762
SEQ ID NO: 980
SEQ ID NO: 981


associated membrane





protein 4





// CCIN // calicin
NM_005893
SEQ ID NO: 982
SEQ ID NO: 983


// ACTN1 // actinin,
NM_001130004
SEQ ID NO: 984
SEQ ID NO: 985


alpha 1











// DHCR7 // 7-
NM_001360
SEQ ID NO: 986
SEQ ID NO: 987


dehydrocholesterol





reductase





// SYT17 //
NM_016524
SEQ ID NO: 988
SEQ ID NO: 989


synaptotagmin XVII





// TECR // trans-2,3-
NM_138501
SEQ ID NO: 990
SEQ ID NO: 991


enoyl-CoA reductase





// SLC7A7 // solute
NM_003982
SEQ ID NO: 992
SEQ ID NO: 993


carrier family 7





(cationic amino acid





transporter, y+





system), member 7





// APOC1 //
NM_001645
SEQ ID NO: 994
SEQ ID NO: 995


apolipoprotein C-I





// ECHDC1 // enoyl
NM_001002030
SEQ ID NO: 996
SEQ ID NO: 997


Coenzyme A





hydratase domain





containing 1





ACVRL1//activin A
NM_000020
SEQ ID NO: 1153
SEQ ID NO: 1154


receptor type II-like 1





CASP9//caspase 9,
NM_001229
SEQ ID NO: 1155
SEQ ID NO: 1156


apoptosis-related





cysteine peptidase





EGR2 //early growth
NM_000399
SEQ ID NO: 1157
SEQ ID NO: 1158


response 2





FBN1//fibrillin 1
NM_000138
SEQ ID NO: 1159
SEQ ID NO: 1160


FFAR2//free fatty acid
NM_005306
SEQ ID NO: 1161
SEQ ID NO: 1162


receptor 2





GPR82//G protein-
NM_080817
SEQ ID NO: 1163
SEQ ID NO: 1164


coupled receptor 82





HCK //hemopoietic
NM_002110
SEQ ID NO: 1165
SEQ ID NO: 1166


cell kinase





SCARNA7//small
NR_003001
SEQ ID NO: 1167
N/A


Cajal body-specific





RNA 7





SNORD34 //small
NR_000019
SEQ ID NO: 1168
N/A


nucleolar RNA, C





SPN //sialophorin
NM_001030288
SEQ ID NO: 1169
SEQ ID NO: 1170


TMEM163//
NM_030923
SEQ ID NO: 1171
SEQ ID NO: 1172


transmembrane





protein 163





TSPAN7//tetraspanin 7
NM_004615
SEQ ID NO: 1173
SEQ ID NO: 1174


ZMYND17// zinc
NM_001024593
SEQ ID NO: 1175
SEQ ID NO: 878


finger, MYND-type





containing 17









In FIG. 1, the data show expression of the ratio of phosphorylated SMAD2 (pSMAD2) protein relative to total SMAD2 protein in BAL cells isolated from cynomolgus monkeys after 8-weekly doses of STX-100 treatment relative to circulating levels of STX-100 in serum after the last (8th) weekly dose of antibody (area under the curve (AUC) ug*hr/ml). Data are shown for individual animals in vehicle and 0.1, 0.3, 1.0, 3.0, and 10 mg/kg STX-100 treatment groups. pSMAD2 and total SMAD2 levels were determined by ELISA analysis.


In FIG. 2, the data show expression of example genes a) ALOX5, b) OLR1, c) Serpinel, and d) TGM2 in BAL cells isolated from cynomolgus monkeys after 8-weekly doses of STX-100 treatment relative to circulating levels of STX-100 in serum after the last (8th) weekly dose of antibody (area under the curve (AUC) ug*hr/ml). Data are shown for individual animals in vehicle and 0.1, 0.3, 1.0, 3.0, and 10 mg/kg STX-100 treatment groups. Gene expression was determined by Taqman® gene expression analysis.


Example 2: Quantitative Polymerase Chain Reaction Studies on Gene Expression Levels in BAL Macrophage Cells Following Injection of 3G9 Antibody in Mice

Wild type mice were either treated with 2 doses of 3G9 antibody at three different concentrations (i.e., 0.3 mg/kg, 1 mg/kg, or 3 mg/kg) 7 days apart or not treated (control). BAL macrophages were isolated from the mice 24 hours after the second dose and quantitative polymerase chain reaction was used to determine the expression level of Cathepsin L, Legumain, PAI-1 (also known as Serpinel), Osteopontin, TREM-1, MMP-19, and ALCAM.


3G9 treatment did not significantly affect the expression of Cathepsin L or Legumain (FIGS. 3 and 4). However, 3G9 treatment increased the expression of MMP19 and ALCAM, and reduced the expression of osteopontin, TREM-1 and PAI-1 (FIGS. 5-9).

Claims
  • 1. A method for predicting whether a human subject who has an αvβ6-mediated disorder will respond to treatment with an αvβ6-integrin inhibitor, the method comprising: a) providing a biological sample obtained from the human subject after administration of the αvβ6-integrin inhibitor; andb) measuring the expression level of a gene or protein from Table 1 or a gene or protein from Table 2 in the biological sample, wherein:(i) an increase in the expression level of the gene or protein from Table 1 relative to a control expression level; orii) a decrease in the expression level of the gene or protein from Table 2 relative to a control expression level,predicts that the human subject will respond, or has an increased likelihood of responding, to treatment with the αvβ6-integrin inhibitor.
  • 2. The method of claim 1, further comprising determining the phosphorylation status of SMAD2 protein in the biological sample, wherein a decrease in the phosphorylation status of SMAD2 protein after administration of the αvβ6 integrin inhibitor is a further predictor that the human subject will respond, or has an increased likelihood of responding, to treatment with the αvβ6-integrin inhibitor.
  • 3. The method of claim 1, wherein the method comprises measuring any combination of at least 6 genes or proteins from Table 1, Table 2, or Tables 1 and 2.
  • 4. The method of claim 1, wherein a decrease in the expression level of at least one of arachidonate 5-lipoxygenase 5 (ALOX5), fibronectin (FN1), oxidized low density lipoprotein receptor 1 (OLR1), plasminogen activator inhibitor-1 (PAI-1 or SERPINE1), transglutaminase 2 (TGM2), or triggering receptor expressed on myeloid cells 1 (TREM1) in the biological sample is measured and predicts that the human subject will respond, or has an increased likelihood of responding, to treatment with the αvβ6-integrin inhibitor.
  • 5. A method for predicting responsiveness of a human subject to treatment with an inhibitor of a TGF-β-signaling pathway, the method comprising: (a) measuring the expression level of a gene or protein from Table 1 or a gene or protein from Table 2 in a first biological sample obtained from the human subject before step (b);(b) administering the inhibitor of a TGF-β-signaling pathway to the human subject; and(c) measuring the expression level of the gene or protein from Table 1 or the gene or protein from Table 2 in a second biological sample obtained from the human subject after step (b),wherein an increase in the level of expression of the gene or protein from Table 1 or a decrease in the level of expression of the gene or protein from Table 2 measured in step (c), compared to the level of expression of the gene or protein measured in step (a) predicts that the human subject will respond, or has an increased likelihood of responding, to treatment with the inhibitor of the TGF-β-signaling pathway.
  • 6. A method of treating an αvβ6-mediated disorder in a human subject in need thereof, the method comprising administering to the human subject a therapeutically effective amount of an αvβ6 integrin inhibitor, wherein the human subject has been identified as having at least one of: (i) a decreased expression level of a gene or protein from Table 1 in a biological sample obtained from the human subject, compared to a control expression level; or(ii) an increased expression level of a gene or protein from Table 2 in a biological sample obtained from the human subject, compared to a control expression level.
  • 7. A method for predicting whether a human subject who has an αvβ6-mediated disorder will have a clinical response to treatment with an αvβ6-integrin inhibitor, the method comprising: (a) providing a biological sample obtained from the human subject before treatment with an αvβ6-integrin inhibitor; and(b) measuring the expression level of a gene or protein from Table 1 or a gene or protein from Table 2,wherein a subject having(i) a decreased expression of the gene or the protein from Table 1 relative to a control expression level, or(ii) an increased expression of the gene or the protein from Table 2 relative to a control expression level,is predicted to have a clinical response, or have an increased likelihood of a clinical response, to treatment with the αvβ6-integrin inhibitor.
  • 8. A method of treating an αvβ6-mediated disorder in a human subject in need thereof, the method comprising administering to the human subject a therapeutically effective amount of an αvβ6 integrin inhibitor, wherein the human subject has previously been administered the αvβ6 integrin inhibitor and has been identified as having at least one of: (i) an increased expression level of a gene or protein from Table 1 in a biological sample obtained from the human subject after the previous administration of the αvβ6 integrin inhibitor, compared to a control expression level; or(ii) a decreased expression level of a gene or protein from Table 2 in a biological sample obtained from the human subject after the previous administration of the αvβ6 integrin inhibitor, compared to a control expression level.
  • 9. The method of claim 1, wherein the biological sample is a bronchoalveolar lavage sample.
  • 10. The method of claim 1, wherein the biological sample is a tissue sample.
  • 11-12. (canceled)
  • 13. The method of claim 1, wherein the αvβ6-mediated disorder is fibrosis, psoriasis, sclerosis, cancer, acute lung injury, acute kidney injury, liver injury, scleroderma, transplant, or Alports Syndrome.
  • 14. The method of claim 1, wherein the αvβ6-mediated disorder is lung fibrosis or kidney fibrosis.
  • 15. The method of claim 1, wherein the αvβ6-mediated disorder is idiopathic pulmonary fibrosis, radiation induced fibrosis, bleomycin induced fibrosis, or asbestos induced fibrosis.
  • 16. The method of claim 1, wherein the αvβ6-mediated disorder is a cancer selected from the group consisting of a pancreatic cancer, a lung cancer, a breast cancer, a prostate cancer, a colorectal cancer, a head and neck cancer, an esophageal cancer, a skin cancer, and an endometrial cancer.
  • 17. The method of claim 1, wherein the αvβ6-integrin inhibitor is an anti-αvβ6-integrin antibody.
  • 18. The method of claim 17, wherein the anti-αvβ6-integrin antibody has the same CDRs as an antibody produced by a hybridoma selected from the group consisting of: 6.1A8 (ATCC accession number PTA-3647); hybridoma 6.3G9 (ATCC accession number PTA-3649); 6.8G6 (ATCC accession number PTA-3645); 6.2E5 (ATCC accession number PTA-3897); 6.2B1 (ATCC accession number PTA-3646); 7.1G10 (ATCC accession number PTA-3898); 7.7G5 (ATCC accession number PTA-3899); and 7.1C5 (ATCC accession number PTA-3900).
  • 19. The method of claim 17, wherein the anti-αvβ6-integrin antibody has the same CDRs as the antibody produced by the hybridoma deposited as 6.3G9 (ATCC accession number PTA-3649), except that the light chain CDR 1 contains an asparagine to serine substitution such that the light chain CDR 1 sequence is the sequence of SASSSVSSSYLY (SEQ ID NO:1196).
  • 20. The method of claim 17, wherein the anti-αvβ6-integrin antibody comprises a heavy chain variable region comprising the amino acid sequence set forth in SEQ ID NO: 1210.
  • 21. The method of claim 20, wherein the anti-αvβ6-integrin antibody further comprises a light chain variable region comprising the amino acid sequence set forth in SEQ ID NO: 1211.
  • 22-23. (canceled)
  • 24. A biomarker panel comprising a probe for each of ALOX5, FN1, OLR1, SERPINE1, TGM2, and TREM1 and no additional genes or proteins other than one or more of the genes or proteins listed in Table 1 and Table 2.
  • 25-27. (canceled)
CROSS-REFERENCE TO RELATED APPLICATIONS

This application claims the benefit of priority of U.S. Provisional Application No. 61/617,451, filed Mar. 29, 2012, and U.S. Provisional Application No. 61/648,199, filed May 17, 2012, the contents of both of which are incorporated by reference herein in their entireties.

Provisional Applications (2)
Number Date Country
61617451 Mar 2012 US
61648199 May 2012 US
Continuations (1)
Number Date Country
Parent 14387762 Sep 2014 US
Child 16683644 US