Abstract: The present disclosure in one aspect provides technologies for detection of esophageal cancer, e.g., early detection of esophageal cancer. In another aspect, technologies provided herein are useful for selecting and/or monitoring and/or evaluating efficacy of, a treatment administered to a subject determined to have or susceptible to esophageal cancer. In some embodiments, technologies provided herein are useful for development of companion diagnostics, e.g., by measuring tumor burdens and changes in tumor burdens in conjunction with therapeutics. In some embodiments, technologies provided herein are useful for development of companion diagnostics, e.g., by identifying biomarkers in subjects' bodily fluid samples (e.g., blood samples) that are associated with therapeutic response.

Abstract: The present disclosure in one aspect provides technologies for detection of prostate cancer, e.g., early detection of prostate cancer. In another aspect, technologies provided herein are useful for selecting and/or monitoring and/or evaluating efficacy of, a treatment administered to a subject determined to have or susceptible to prostate cancer. In some embodiments, technologies provided herein are useful for development of companion diagnostics, e.g., by measuring tumor burdens and changes in tumor burdens in conjunction with therapeutics. In some embodiments, technologies provided herein are useful for development of companion diagnostics, e.g., by identifying biomarkers in subjects' bodily fluid samples (e.g., blood samples) that are associated with therapeutic response.

Abstract: The present disclosure in one aspect provides technologies for detection of pancreatic cancer, e.g., early detection of pancreatic cancer. In another aspect, technologies provided herein are useful for selecting and/or monitoring and/or evaluating efficacy of, a treatment administered to a subject determined to have or susceptible to pancreatic cancer. In some embodiments, technologies provided herein are useful for development of companion diagnostics, e.g., by measuring tumor burdens and changes in tumor burdens in conjunction with therapeutics. In some embodiments, technologies provided herein are useful for development of companion diagnostics, e.g., by identifying biomarkers in subjects' bodily fluid samples (e.g., blood samples) that are associated with therapeutic response.

Abstract: The present disclosure in one aspect provides technologies for detection and/or screening of a plurality of cancers, e.g., early detection of various cancer. In another aspect, technologies provided herein are useful for selecting and/or monitoring and/or evaluating efficacy of, a treatment administered to a subject determined to have or susceptible to cancer. In some embodiments, technologies provided herein are useful for development of companion diagnostics, e.g., by measuring tumor burdens and changes in tumor burdens in conjunction with therapeutics. In some embodiments, technologies provided herein are useful for development of companion diagnostics, e.g., by identifying biomarkers in subjects' bodily fluid samples (e.g., but not limited to blood samples) that are associated with therapeutic response.

Abstract: The present disclosure in one aspect provides technologies for detection of breast cancer, e.g., early detection of breast cancer. In another aspect, technologies provided herein are useful for selecting and/or monitoring and/or evaluating efficacy of, a treatment administered to a subject determined to have or susceptible to breast cancer. In some embodiments, technologies provided herein are useful for development of companion diagnostics, e.g., by measuring tumor burdens and changes in tumor burdens in conjunction with therapeutics. In some embodiments, technologies provided herein are useful for development of companion diagnostics, e.g., by identifying biomarkers in subjects' bodily fluid samples (e.g., blood samples) that are associated with therapeutic response.

Abstract: The present disclosure in one aspect provides technologies for detection of colorectal cancer, e.g., early detection of colorectal cancer. In another aspect, technologies provided herein are useful for selecting and/or monitoring and/or evaluating efficacy of, a treatment administered to a subject determined to have or susceptible to colorectal cancer. In some embodiments, technologies provided herein are useful for development of companion diagnostics, e.g., by measuring tumor burdens and changes in tumor burdens in conjunction with therapeutics. In some embodiments, technologies provided herein are useful for development of companion diagnostics, e.g., by identifying biomarkers in subjects' bodily fluid samples (e.g., blood samples) that are associated with therapeutic response.

Abstract: The disclosure relates to the use of biomarkers for predicting the response to cancer (e.g., melanoma) treatments, for selecting a treatment for a cancer patient (e.g., using targeted therapy, e.g., using an agent targeting BRAF and/or an agent targeting MEK in combination with an immuno-oncology therapy (e.g., an anti-PD-1 therapy)), for stratifying cancer patients into different treatment groups, for treating cancer patients, and for predicting clinical outcome in cancer.

Abstract: The present disclosure in one aspect provides technologies for detection of lung cancer, e.g, early detection of lung cancer. In another aspect, technologies provided herein are useful for selecting and/or monitoring and/or evaluating efficacy of, a treatment administered to a subject determined to have or susceptible to lung cancer. In some embodiments, technologies provided herein are useful for development of companion diagnostics, e.g, by measuring tumor burdens and changes in tumor burdens in conjunction with therapeutics.

Abstract: Disclosed are methods and reagents for diagnosis, classification and treatment of DLBCL and subtypes thereof by means of gene expression profiling. Provided herein is a gene expression signature for use in obtaining diagnostic information for DLBCL and subtypes thereof. Aspects of the present disclosure relate to use of gene expression signature corresponding to particular subtype for classification of a sample from a subject and stratification of a subject for subtype-targeted clinical trial. Also provided herein is a computer based classification model for use in the methods disclosed herein.

Abstract: Methods for diagnosing Burkitt lymphoma (BL) and diffuse large B-cell lymphoma (DLBCL) based on a diagnostic score, as well as determining MYC activity levels and selecting treatments based on a MYC activity score.