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Quantitative and Scalable Tumor Growth Map for Complex Genotypes in Lung Cancer

Institution: Stanford University
Investigator(s): Dmitri Petrov,
Award Cycle: 2019 (Cycle 30) Grant #: T30IP0889 Award: $626,000
Subject Area: Cancer
Award Type: High Impact Pilot Award

Initial Award Abstract
Lung cancer is the deadliest cancer in the world and one of the most devastating consequences of tobacco smoking. Unfortunately, lung cancer is very difficult to treat because it is not just one disease - it is a constellation of many distinct diseases that are caused by an array of genetic changes in the lung cells. Here we develop approaches to model all these different types of lung cancer rapidly so that we can find a way to understand them individually and eventually treat them all.