Abstract
Abstract Although molecular profiling of human tumors is now routine, the use of this data to guide therapy remains limited to a subset of patients. To complement genome characterization studies, we have used genome scale gain and loss of function approaches to identify genes required for cell survival and transformation. Specifically, we have performed both genome scale RNAi and CRISRP-Cas9 screens in hundreds of cancer cell lines to identify differentially essential genes and the context that specifies gene dependency. These studies now allow us to define a Cancer Dependency Map. Using these datasets and approaches, we have defined new categories of potential cancer targets in breast and other cancers. In particular, we have interrogated genes required for MYC-driven breast cancers and identified metabolic dependencies in breast cancers and identified a novel mechanism of estrogen receptor expression. These approaches promise to further operationalize precision cancer medicine. Citation Format: William C Hahn. Using the Cancer Dependency Map [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Advances in Breast Cancer Research; 2023 Oct 19-22; San Diego, California. Philadelphia (PA): AACR; Cancer Res 2024;84(3 Suppl_1):Abstract nr IA11.
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