Abstract B30: Three-dimensional organoid model for acquired drug resistance in non-small cell lung cancer

Abstract

Abstract Background: Targeted therapies against specific driver mutations of cancer progression have been used to improve survival of lung adenocarcinoma patients. In KRAS mutant NSCLC specifically, however, after some initial improvement in lung cancer patients, targeted therapies often fail due to acquired drug resistance. To uncover mechanisms of resistance and to discover new drivers, genome-scale sequencing of lung cancers has identified candidate genes, but these data have not rapidly translated in preclinical validation. A major obstacle in lung cancer research has been the deficiencies of standard in vitro models. Methods: To address the deficiencies within standard models we have developed an in vitro 3-dimensional, KRAS-mutated “organoid” model of lung adenocarcinoma that surpasses both in vitro and in vivo models by possessing the tractability of cell lines and the 3-dimensional architecture and morphology of animal models. We have engineered a p53 knockout and KRAS mutation on top of normal wild-type lung epithelium to achieve oncogenicity. Result: Through an optimized growth period in the presence of drug, an organoid model of resistance has been developed through which de novo genetic events underlying acquired resistance can be studied. Conclusion: The highly defined genetic background of the KRAS-mutated 3-D organoid model serves as a tabula rasa upon which stochastic secondary genetic and epigenetic changes can be identified and mechanistically studied by forward and reverse genetics approaches in order to rapidly identify mechanisms of acquired drug resistance and validate therapeutic options. Citation Format: Navika D. Shukla, Ameen A. Salahudeen, Sukhmani K. Padda, Joel W. Neal, Heather A. Wakelee, Calvin J. Kuo. Three-dimensional organoid model for acquired drug resistance in non-small cell lung cancer [abstract]. In: Proceedings of the Fifth AACR-IASLC International Joint Conference: Lung Cancer Translational Science from the Bench to the Clinic; Jan 8-11, 2018; San Diego, CA. Philadelphia (PA): AACR; Clin Cancer Res 2018;24(17_Suppl):Abstract nr B30.