Description:
<jats:title>Abstract</jats:title>
<jats:p>Although cancer is governed by complex molecular systems, the composition and modular organization of these systems remains poorly understood. I will describe efforts by the Cancer Cell Map Initiative (CCMI) to generate large protein interaction maps of tumor cells, which we are integrating with existing molecular and structural data to assemble a comprehensive multiscale map of cancer cell biology. The current draft map contains a hierarchy of ~250 systems covering both known hallmarks and unexpected components. Integration with tumor mutation profiles suggests that the modules under strongest selective pressure in cancer are often not genes, but extend upwards in scale to include protein complexes, broad cellular processes, and organelles. This observation suggests a classification of cancer based on convergence of mutations at key bottlenecks in the hierarchy of cellular systems.</jats:p>
<jats:p>Citation Format: Trey Ideker. Decoding patient genomes through the hierarchical pathway architecture of the cancer cell [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr PL02-04.</jats:p>