期刊
JOURNAL OF HEPATOLOGY
卷 60, 期 2, 页码 346-353出版社
ELSEVIER
DOI: 10.1016/j.jhep.2013.10.014
关键词
Hepatocarcinogenesis; RNA sequencing; Molecular pathogenesis
资金
- Intramural Research Program of the NIH, National Cancer Institute, Center for Cancer Research
- Korea Science and Engineering Foundation (KOSEF)
- Korea government (MOST) [2011-0030707]
- German Research Foundation [MA 4443/2-1]
- National Research Foundation of Korea [2011-0030707] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
Background & Aims: Human hepatocarcinogenesis is as a multistep process starting from dysplastic lesions to early carcinomas (eHCC) that ultimately progress to HCC (pHCC). However, the sequential molecular alterations driving malignant transformation of the pre-neoplastic lesions are not clearly defined. This lack of information represents a major challenge in the clinical management of patients at risk. Methods: We applied next-generation transcriptome sequencing to tumor-free surrounding liver (n = 7), low- (n = 4) and highgrade (n = 9) dysplastic lesions, eHCC (n = 5) and pHCC (n = 3) from 8 HCC patients with hepatitis B infection. Integrative analyses of genetic and transcriptomic changes were performed to characterize the genomic alterations during hepatocarcinogenesis. Results: We report that changes in transcriptomes of early lesions including eHCC were modest and surprisingly homogenous. Extensive genetic alterations and subsequent activation of prognostic adverse signaling pathways occurred only late during hepatocarcinogenesis and were centered on TGFb, WNT, NOTCH, and EMT-related genes highlighting the molecular diversity of pHCC. We further identify IGFALS as a key genetic determinant preferentially down-regulated in pHCC. Conclusions: Our results define new hallmarks in molecular stratification and therapy options for patients at risk for HCC, and merit larger prospective investigations to develop a modified clinical-decision making algorithm based on the individualized next-generation sequencing analyses. Published by Elsevier B.V. on behalf of the European Association for the Study of the Liver.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据