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SYNOPSIS: One of the most striking outcomes of the cancer genome projects is that tumors of similar types and clinical responses can have patterns of mutations that are strikingly different. Despite these differences, it is becoming very clear that tumor alterations hijack the same hallmark molecular pathways and networks. Thus, a complete vision for cancer precision medicine requires not only genome sequencing, but interpretation of these genomes against a comprehensive map of cancer molecular networks. We have recently started The Cancer Cell Map Initiative (CCMI), aimed at systematically detailing the physical and genetic interactions among cancer genes and how these connections differ between diseased and healthy states. I will describe recent progress in technology and thinking that supports the creation of such a cancer cell map across a range of tissue types, as well as how such a resource can be used to match patient genomes with prognostic and predictive outcomes. |
BIO:
Trey Ideker is a systems biologist working to elucidate and model the genetic networks inside cells. He has introduced a variety of influential approaches for mapping and analyzing networks, including Cytoscape, an open software platform cited more than 10,000 times. He holds positions as Professor of Genetics in the Department of Medicine at the University of California at San Diego and leads the Program in Genomes and Networks at UCSD Moores Cancer Center. Dr. Ideker serves on the Editorial Boards of Cell, Cell Reports, and Molecular Systems Biology; is a fellow of the American Association for the Advancement of Science; was named one of the Top 10 Innovators of 2006 by Technology Review magazine; and is the 2009 recipient of the Overton Prize from the International Society for Computational Biology.
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Presentation: A screencast of the presentation will be available for viewing after the event on the NCI CBIIT Speaker Series YouTube Playlist
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