| Literature DB >> 30287485 |
Michelle Dow1,2,3, Rachel M Pyke1,2, Brian Y Tsui1,2, Ludmil B Alexandrov4,5,6, Hayato Nakagawa7, Koji Taniguchi8,9,10,11, Ekihiro Seki12,13, Olivier Harismendy3,6,13, Shabnam Shalapour8,9,10, Michael Karin14,9,10, Hannah Carter15,6,16, Joan Font-Burgada17.
Abstract
Cancer genomics has enabled the exhaustive molecular characterization of tumors and exposed hepatocellular carcinoma (HCC) as among the most complex cancers. This complexity is paralleled by dozens of mouse models that generate histologically similar tumors but have not been systematically validated at the molecular level. Accurate models of the molecular pathogenesis of HCC are essential for biomedical progress; therefore we compared genomic and transcriptomic profiles of four separate mouse models [MUP transgenic, TAK1-knockout, carcinogen-driven diethylnitrosamine (DEN), and Stelic Animal Model (STAM)] with those of 987 HCC patients with distinct etiologies. These four models differed substantially in their mutational load, mutational signatures, affected genes and pathways, and transcriptomes. STAM tumors were most molecularly similar to human HCC, with frequent mutations in Ctnnb1, similar pathway alterations, and high transcriptomic similarity to high-grade, proliferative human tumors with poor prognosis. In contrast, TAK1 tumors better reflected the mutational signature of human HCC and were transcriptionally similar to low-grade human tumors. DEN tumors were least similar to human disease and almost universally carried the Braf V637E mutation, which is rarely found in human HCC. Immune analysis revealed that strain-specific MHC-I genotype can influence the molecular makeup of murine tumors. Thus, different mouse models of HCC recapitulate distinct aspects of HCC biology, and their use should be adapted to specific questions based on the molecular features provided here.Entities:
Keywords: cancer mutational landscapes; comparative genomics; hepatocellular carcinoma; immune analysis; mouse models
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Year: 2018 PMID: 30287485 PMCID: PMC6196518 DOI: 10.1073/pnas.1811029115
Source DB: PubMed Journal: Proc Natl Acad Sci U S A ISSN: 0027-8424 Impact factor: 11.205