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

Presenter: Tran, Phuoc

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Conclusions:
Our work incorporates highly penetrant spontaneously arising murine lung tumor models, non-invasive serial tumor imaging and predictive mathematically modeling. This system serves as a more clinically relevant bridge for studies transitioning from the bench to the clinic and can also be used to probe basic questions of oncogene-addiction. Furthermore, these preclinical studies suggest a novel method for predicting tumor responses in human BACs.