Abstract # 2716 Predictive Modeling Of Tumor Regression Kinetics Using A Murine Model Of Oncogene-addicted Lung Cancers

Presenter: Tran, Phuoc

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Oncogene-addiction or -dependence is a biological phenomenon whereby tumors following oncogene-inactivation exhibit dramatic regression revealing tumor cells that are dependent on their initiating oncogene for survival. This phenomenon has become more widely appreciated clinically with the emergence of oncogene targeted therapies that expose a subset of human malignancies with this phenotype. A human example are "oncogene-addicted" patients with EGFR-mutated bronchioloalveolar carcinomas (BACs). A critical question is the identification of patients who most benefit from these targeted therapies. Novel methods for determining and predicting treatment response are therefore needed. The Myc and Ras oncogenes have pleiotropic effects on cell autonomous functions such as proliferation, apoptosis and DNA damage repair and cell non-autonomous functions such as angiogenesis, the sum of which can drive the process of oncogenesis. The murine counterpart to "oncogene-addicted" human BACs are Ras-induced "oncogene-addicted" non-small cell lung cancers (NSCLCs).