| Literature DB >> 33158843 |
Sonia Iyer1, Shuang Zhang2, Simge Yucel1, Heiko Horn3,4, Sean G Smith5, Ferenc Reinhardt1, Esmee Hoefsmit1, Bimarzhan Assatova1, Julia Casado6, Marie-Charlotte Meinsohn4, M Inmaculada Barrasa1, George W Bell1, Fernando Pérez-Villatoro6, Kaisa Huhtinen7, Johanna Hynninen8, Jaana Oikkonen6, Pamoda M Galhenage9, Shailja Pathania9, Paula T Hammond5, Benjamin G Neel2, Anniina Farkkila6,10, David Pépin11, Robert A Weinberg12,13,14.
Abstract
Despite advances in immuno-oncology, the relationship between tumor genotypes and response to immunotherapy remains poorly understood, particularly in high-grade serous tubo-ovarian carcinomas (HGSC). We developed a series of mouse models that carry genotypes of human HGSCs and grow in syngeneic immunocompetent hosts to address this gap. We transformed murine-fallopian tube epithelial cells to phenocopy homologous recombination-deficient tumors through a combined loss of Trp53, Brca1, Pten, and Nf1 and overexpression of Myc and Trp53 R172H, which was contrasted with an identical model carrying wild-type Brca1. For homologous recombination-proficient tumors, we constructed genotypes combining loss of Trp53 and overexpression of Ccne1, Akt2, and Trp53 R172H, and driven by KRAS G12V or Brd4 or Smarca4 overexpression. These lines form tumors recapitulating human disease, including genotype-driven responses to treatment, and enabled us to identify follistatin as a driver of resistance to checkpoint inhibitors. These data provide proof of concept that our models can identify new immunotherapy targets in HGSC. SIGNIFICANCE: We engineered a panel of murine fallopian tube epithelial cells bearing mutations typical of HGSC and capable of forming tumors in syngeneic immunocompetent hosts. These models recapitulate tumor microenvironments and drug responses characteristic of human disease. In a Ccne1-overexpressing model, immune-checkpoint resistance was driven by follistatin.This article is highlighted in the In This Issue feature, p. 211. ©2020 American Association for Cancer Research.Entities:
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Year: 2020 PMID: 33158843 PMCID: PMC8344888 DOI: 10.1158/2159-8290.CD-20-0818
Source DB: PubMed Journal: Cancer Discov ISSN: 2159-8274 Impact factor: 39.397