Abstract 1472: Building comprehensive and fully annotated patient tumor derived xenogragft (PDX) library mirroring cancer patient population

Patient derived xenografts (PDXs) mirrors patients’ pathology and genetic profiles, thus valued as predictive experimental models for studying oncogenesis and personalized treatments. Cancer is not a single disease but diseases of complex genetic components and oncogenic processes. Limited number of PDX models with minimal genetic characterization is insufficient to meet current research needs. For this, we have built the largest and most comprehensive PDX library with full genetic profiles. By far, our PDX library contains over 1,100 models derived from patients of both Asian and Western origins, covering over 20 major cancer types, including large panels (over 100 models each) of NSLCL(1), CRC(2), gastric(3), HCC(4), and pancreatic, and smaller panels ( Our large library of different disease panels are particularly useful in conducting mouse clinical trial (MCT of HuTrialTM) (2, 5, 12), which can be used to discover predictive biomarker (2, 5, 13) and guide clinical study design. Citation Format: Jie Cai, Dawei Chen, Rajendra Kumari, Sheng Guo, Jie Yang, Mengmeng Yang, Andrew McKenzie, Zhun Wang, Xuesong Huang, Xiaoyu An, Jinping Liu, Jean-Pierre Wery, Henry Li. Building comprehensive and fully annotated patient tumor derived xenogragft (PDX) library mirroring cancer patient population. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 1472. doi:10.1158/1538-7445.AM2015-1472