摘要:
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.
摘要:
The present invention is a method distinguishing between head and neck squamous cell carcinoma and lung squamous cell carcinoma. In particular, a 10-gene classifier has been identified which can be used to distinguish between primary squamous cell carcinoma of the lung and metastatic head and neck squamous cell carcinoma. These genes include CXCL13, COL6A2, SFTPB, KRT14, TSPYL5, TMP3, KLK10, MMP1, GAS1, and MYH2. A panel of one or more of these genes, or proteins encoded thereby, can be used for early diagnosis and selection of an appropriate therapeutic treatment.
摘要:
A method of developing a gene expression profile indicative of the presence or stage of a selected a disease, disorder or genetic pathology in a mammalian subject employs penalized discriminant analysis with recursive feature elimination. A method of diagnosing a cancer in a mammalian subject includes the steps of examining a sample containing the subject's immune cells and detecting a variance in the expression of a statistically significant number of genes, e.g., at least 10 non-tumor genes from those same genes in a characteristic disease or healthy gene expression profile. A significant variance in expression of these genes when compared to a gene expression profile, preferably an average gene expression profile of a normal control, or significant similarities to an average gene profile of subjects with cancer, correlates with a specific type of cancer and/or location of tumor.
摘要:
The present invention is a method distinguishing between head and neck squamous cell carcinoma and lung squamous cell carcinoma. In particular, a 10-gene classifier has been identified which can be used to distinguish between primary squamous cell carcinoma of the lung and metastatic head and neck squamous cell carcinoma. These genes include CXCL13, COL6A2, SFTPB, KRT14, TSPYL5, TMP3, KLK10, MMP1, GAS1, and MYH2. A panel of one or more of these genes, or proteins encoded thereby, can be used for early diagnosis and selection of an appropriate therapeutic treatment.
摘要:
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.
摘要:
Methods, biomarkers, and expression signatures are disclosed for assessing the regulation status of RAS 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 RAS pathway deregulation status in a sample; classifying a cell sample as having a deregulated or regulated RAS signaling pathway; determining whether an agent modulates the RAS signaling pathway in sample; predicting response of a subject to an agent that modulates the RAS signaling pathway; assigning treatment to a subject; and evaluating the pharmacodynamic effects of cancer therapies designed to regulate RAS pathway signaling.
摘要:
A method of developing a gene expression profile indicative of the presence or stage of a selected a disease, disorder or genetic pathology in a mammalian subject employs penalized discriminant analysis with recursive feature elimination. A method of diagnosing a cancer in a mammalian subject includes the steps of examining a sample containing the subject's immune cells and detecting a variance in the expression of a statistically significant number of genes, e.g., at least 10 non-tumor genes from those same genes in a characteristic disease or healthy gene expression profile. A significant variance in expression of these genes when compared to a gene expression profile, preferably an average gene expression profile of a normal control, or significant similarities to an average gene profile of subjects with cancer, correlates with a specific type of cancer and/or location of tumor.
摘要:
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.
摘要:
The invention relates to a stromal/EMT/TGFβ signature that is predictive of patient response to treatment with a PD-1 antagonist, wherein the stromal/EMT/TGFβ signature comprises five or more genes selected from Table 1 disclosed herein. More specifically, a lower stromal/EMT/TGF-β 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/TGFβ biomarker of the invention. The disclosure also provides methods and kits for testing tumor samples for the biomarkers.
摘要:
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.