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Longitudinal Profiling Of Functional Pathways In Cancer Cell Subpopulations
Wednesday, February 25, 2015, 12:00-1:00 pm Calendar
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Abstract

Cancer is a heterogeneous disease, as a typical tumor contains multiple evolutionarily related subpopulations of cells with a different complement of somatically acquired mutations, microenvironment, and functional characteristics. When chemotherapeutic agents are administered to the patient, some of these subpopulationsmay gain a selective advantage and develop resistance to the treatment, resulting in cancer relapse. In this study, we use multiple ‘-omic’ profiling data types to provide a multi-dimensional, longitudinal ‘window’ into a patient’s tumor biology and selective response to treatment. We present novel approaches for standardizing and integrating heterogeneous data produced by different labs, protocols, or profiling platforms. In addition, we present robust Bayesian factor analysis and structural equations models that for the simultaneous profiling functional oncogenic pathways and for the adaptation of pathway signatures into specific disease contexts. We will discuss appropriate future extensions to our models that include integrated longitudinal profiling, accommodations for multiple cancer subpopulations, and adaptations for single cell profiling. We will demonstrate our methods and results on metastatic breast cancer samples and Illustrate the potential implications for precision therapeutics in this context.

This talk is organized by Steve Mount