Abstract 82: Genomic profiling of PDX models across 14 tumor types reveals novel targeted therapeutic opportunities

Introduction: Large efforts have been made to detect somatic alterations and corresponding transcriptome changes in cancer patients, which are expected to bring about significant improvements in precision cancer medicine. Here we report a comprehensive list of driver genes and new targets identified in a large pan-cancer cohort of 550 Patient Derived Xenograft (PDX) models across 14 tumor types. Material and methods: For each PDX model with passages 2-4, we performed comprehensive genomic analyses, including whole exome sequencing (WES), SNP6.0 array, and RNASeq (or microarray). The genomic data were used for extrapolating genomic SNV, CNV, mRNA expression levels, and for identifying gene fusions. Genomic profiling data were generated in internal and analyzed by in-house validated pipelines. Results: 220 PDXs were identified to have actionable driver gene mutations /and/or amplifications among 550 models. We identified novel genomic alterations in a number of the PDX models. Significant portion of the models were validated with targeted therapeutic agents (TKI, Abs etc.) and certain cytotoxic agents. All processed data could be accessed via OncoWuXi database: http://onco.wuxiapptec.com and corresponding OncoWuXi APP (App store or onco.wuxiapptec.com/oncowuxi.apk Conclusions: We have established a large panel of PDX models with comprehensive genomic annotation and identified novel targets, with open access database and App. These models could serve as a platform for Mouse Clinical Trial and for pre-clinical development of next generation targeted therapeutic drugs. Citation Format: Hua Dong, Zhixiang Zhang, Baoyuan Zhang, Xuzhen Tang, Xiangnan Qiang, Yuxin Qin, Shuqun Yang, Yunbiao Yan, Norman Zhang, Qingyang Gu, Qunsheng Ji. Genomic profiling of PDX models across 14 tumor types reveals novel targeted therapeutic opportunities. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 82.