生物
肝细胞癌
限制
癌症研究
癌症
基因
癌
医学
计算生物学
生物信息学
肿瘤科
病理
内科学
遗传学
机械工程
工程类
作者
Pedro Molina-Sánchez,Marina Ruiz de Galarreta,Melissa A. Yao,Katherine E. Lindblad,Erin Bresnahan,Elizabeth Bitterman,Tiphaine Martin,Troy Rubenstein,Kai Nie,Jonathan Golas,Shambhunath Choudhary,Marina Bárcena‐Varela,Abdülkadir Elmas,Verónica Miguela,Ying Ding,Zhengyan Kan,Lauren Tal Grinspan,Kuan‐lin Huang,Ramon Parsons,David J. Shields
出处
期刊:Gastroenterology
[Elsevier BV]
日期:2020-08-16
卷期号:159 (6): 2203-2220.e14
被引量:73
标识
DOI:10.1053/j.gastro.2020.08.015
摘要
The pattern of genetic alterations in cancer driver genes in patients with hepatocellular carcinoma (HCC) is highly diverse, which partially explains the low efficacy of available therapies. In spite of this, the existing mouse models only recapitulate a small portion of HCC inter-tumor heterogeneity, limiting the understanding of the disease and the nomination of personalized therapies. Here, we aimed at establishing a novel collection of HCC mouse models that captured human HCC diversity.
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