Abstract 2683: The landscape of chromosomal aberrations in mouse models of breast cancer reveals driver-specific routes to tumor development

Abstract

Abstract Aneuploidy and large copy number alterations (CNAs) are a hallmark of human cancer. Although genetically engineered mouse models (GEMMs) are commonly used to model human cancer, their chromosomal landscape remains largely unexplored because large-scale CNA data have not been generated. Here we used gene expression profiles to infer CNAs in 3,108 samples from 45 mouse models, providing the first comprehensive catalog of chromosomal aberrations in cancer GEMMs. Mining this expansive resource, we found that most chromosomal aberrations accumulated late during breast tumorigenesis, and we observed marked differences in CNA prevalence between mouse mammary tumors initiated with distinct drivers. Some of these aberrations were recurrent and unique to specific GEMMs, suggesting distinct driver-dependent routes to tumor development. Synteny-based comparison of mouse and human tumors narrowed critical regions in CNAs, thereby identifying candidate driver genes that were not obvious from the analysis of either dataset alone. Specifically, we experimentally validated that loss of Stratifin (SFN) promotes HER2-induced tumorigenesis in human cells. These results demonstrate the power of GEMM CNA analysis in the understanding of human cancer pathogenesis. Citation Format: Uri Ben-David, Gavin Ha, Prasidda Khadka, Xin Jin, Lude Franke, Todd R. Golub. The landscape of chromosomal aberrations in mouse models of breast cancer reveals driver-specific routes to tumor development. [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 2683.