Abstract: The invention relates to (i) an angiogenesis gene signature and (ii) a monocytic myeloid-derived suppressor cell (mMDSC) gene signature that are each predictive of patient response to treatment with a PD-1 antagonist, wherein the angiogenesis signature comprises five or more genes. More specifically, a lower angiogenesis score is associated with favorable response to a PD-1 antagonist in a patient with cancer. Similarly, a lower mMDSC score is associated with favorable response to a PD-1 antagonist in a patient with cancer. Also provided are methods of treating a cancer patient with a PD-1 antagonist that were identified as either (i) positive for the angiogenesis gene signature biomarker of the invention or (ii) positive for the mMDSC gene signature biomarker of the invention.

Abstract: A gene expression platform, which is a combination of a set of genes that are correlated with response to a PD-1 antagonist in multiple tumor types and a normalization gene set, is disclosed. A method and system of using the gene expression platform to derive gene signature biomarkers of anti-tumor response to a PD-1 antagonist and to test patient samples for predictive gene signature biomarkers are also disclosed.

Abstract: The present disclosure describes baseline and on treatment blood-based gene signature biomarkers that are predictive of tumor sensitivity to therapy with a PD-1 antagonist. The on-treatment biomarkers comprise a PD-L1 gene signature or an interferon gamma gene signature and the baseline gene signature biomarker comprises genes associated with the oxidative phosphorylation pathway. The disclosure also provides methods and kits for testing tumor samples for these biomarkers, as well as methods for treating subjects with a PD-1 antagonist based on the test results.

Abstract: The invention relates to a stromal/EMT/TGF? signature that is predictive of patient response to treatment with a PD-1 antagonist, wherein the stromal/EMT/TGF? signature comprises five or more genes selected from Table 1 disclosed herein. More specifically, a lower stromal/EMT/TGF-? score is associated with favorable response to a PD-1 antagonist in a patient with cancer. Also provided are methods of treating a cancer patient with a PD-1 antagonist that were identified as positive for the stromal/EMT/TGF? biomarker of the invention. The disclosure also provides methods and kits for testing tumor samples for the biomarkers.

Abstract: A gene expression platform, which is a combination of a set of genes that are correlated with response to a PD-1 antagonist in multiple tumor types and a normalization gene set, is disclosed. A method and system of using the gene expression platform to derive gene signature biomarkers of anti-tumor response to a PD-1 antagonist and to test patient samples for predictive gene signature biomarkers are also disclosed.

Abstract: This invention relates to methods for selecting a treatment, treating, and predicting survival time in subjects with cancer, such as colorectal cancer, based on tumor expression levels of chemokines, cytotoxic genes, and/or dendritic cell genes.

Abstract: The present disclosure describes baseline and on treatment blood-based gene signature biomarkers that are predictive of tumor sensitivity to therapy with a PD-1 antagonist. The on-treatment biomarkers comprise a PD-L1 gene signature or an interferon gamma gene signature and the baseline gene signature biomarker comprises genes associated with the oxidative phosphorylation pathway. The disclosure also provides methods and kits for testing tumor samples for these biomarkers, as well as methods for treating subjects with a PD-1 antagonist based on the test results.

Abstract: This invention relates to methods for selecting a treatment, treating, and predicting survival time in subjects with cancer, such as colorectal cancer, based on tumor expression levels of chemokines, cytotoxic genes, and/or dendritic cell genes.

Abstract: The present disclosure describes gene signature biomarkers that are useful for identifying cancer patients who are most likely to benefit from treatment with a PD-1 antagonist. The disclosure also provides methods and kits for testing tumor samples for the biomarkers, as well as methods for treating subjects with a PD-1 antagonist based on the test results.

Abstract: The present disclosure describes PD-L1 gene signature biomarkers that are useful for identifying cancer patients who are most likely to benefit from treatment with a PD-1 antagonist. The disclosure also provides methods and kits for testing tumor samples for the biomarkers, as well as methods for treating subjects with a PD-1 antagonist based on the test results.

Abstract: The present disclosure describes IFN-? gene signature biomarkers that are useful for identifying cancer patients who are most likely to benefit from treatment with a PD-1 antagonist. The disclosure also provides methods and kits for testing tumor samples for the biomarkers, as well as methods for treating subjects with a PD-1 antagonist based on the test results.

Abstract: This invention relates to methods for selecting a treatment, treating, and predicting survival time in subjects with cancer, such as colorectal cancer, based on tumor expression levels of chemokines, cytotoxic genes, and/or dendritic cell genes.

Abstract: Methods, biomarkers, and expression signatures are disclosed for assessing the disease progression of Alzheimer's disease (AD). In one embodiment, BioAge (biological age), NdStress (neurodegenerative stress), Alz (Alzheimer), and Inflame (inflammation) are used as biomarkers of AD progression. In another aspect, the invention comprises a gene signature for evaluating disease progression. In still another embodiment, methods for evaluating disease progression are provided. In yet another embodiment, the invention can be used to identify animal models for use in the development and evaluation of therapeutics for the treatment of AD.

Abstract: In one aspect, methods, markers, and expression signatures are disclosed for assessing the degree to which a cell sample has epithelial cell-like properties or mesenchymal cell-like properties. In another aspect, methods are provided for predicting cancer patient prognosis based on whether the cancer is classified as having a high or low EMT Signature Score.

Abstract: In one aspect, methods, markers, and expression signatures are disclosed for assessing the degree to which a cell sample has epithelial cell-like properties or mesenchymal cell-like properties. In another aspect, methods are provided for predicting whether a subject with cancer will respond to treatment with an agent, based on whether the cancer is classified as having a high or low EMT Signature Score.

Abstract: Methods, biomarkers, and expression signatures are disclosed for assessing the regulation status of growth factor pathway signaling in a cell sample or subject. More specifically, several aspects of the invention provide a set of genes which can be used as biomarkers and gene signatures for evaluating growth factor pathway deregulation status in a sample; classifying a cell sample as having a deregulated or regulated growth factor signaling pathway; determining whether an agent modulates the growth factor signaling pathway in sample; predicting response of a subject to an agent that modulates the growth factor signaling pathway; assigning treatment to a subject; and predicting evaluating the pharmacodynamic effects of cancer therapies designed to regulate growth factor pathway signaling.

Abstract: This invention relates to methods for selecting a treatment, treating, and predicting survival time in subjects with cancer, such as colorectal cancer, based on tumor expression levels of chemokines, cytotoxic genes, and/or dendritic cell genes.

Abstract: The invention disclosed herein describes novel biomarkers useful for risk assessment, screening, prognosis and selection and monitoring of therapy for HDAC mediated cell proliferative disorders. In particular, the invention provides the identities of three particular proteins whose expression patterns are strongly predictive of a particular patient's treatment outcome, e.g., non-responsiveness to SAHA. The expression profile, or pattern, whether embodied in nucleic acid expression, protein expression, or other expression formats will find use in identifying and selecting patients afflicted with a particular HDAC mediated cancer who are likely to be non-responsive to SAHA-based therapy and thus candidates for other treatments.

Abstract: Methods, biomarkers, and expression signatures are disclosed for assessing the regulation status of growth factor pathway signaling in a cell sample or subject. More specifically, several aspects of the invention provide a set of genes which can be used as biomarkers and gene signatures for evaluating growth factor pathway deregulation status in a sample; classifying a cell sample as having a deregulated or regulated growth factor signaling pathway; determining whether an agent modulates the growth factor signaling pathway in sample; predicting response of a subject to an agent that modulates the growth factor signaling pathway; assigning treatment to a subject; and predicting evaluating the pharmacodynamic effects of cancer therapies designed to regulate growth factor pathway signaling.

Abstract: The invention provides molecular markers that are associated with responsiveness of a cancer patient to a chemotherapy treatment, and methods and computer systems for determining such responsiveness based on measurements of these molecular markers. The present invention also provides methods and compositions for enhancing the efficacy of chemotherapies in patients by modulating the expression or activity of genes encoding these molecular markers and/or their encoded proteins.