Sequential transcriptome analysis of human liver cancer indicates late stage acquisition of malignant traits.
Sequential transcriptome analysis of human liver cancer indicates late stage acquisition of malignant traits.
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DOI:
10.1016/j.jhep.2013.10.014
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发表时间:
2014-02
影响因子:
25.7
通讯作者:
Thorgeirsson, Snorri S.
中科院分区:
文献类型:
--
作者:
Marquardt, Jens U.;Seo, Daekwan;Andersen, Jesper B.;Gillen, Matthew C.;Kim, Myoung Soo;Conner, Elizabeth A.;Galle, Peter R.;Factor, Valentina M.;Park, Young Nyun;Thorgeirsson, Snorri S.
Human hepatocarcinogenesis is as a multi-step 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. We applied next-generation transcriptome sequencing to tumor-free surrounding liver (n=7), low- (n=4) and high-grade (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. 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 TGFβ, 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. 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.
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影响因子:
11.2
作者:
Hoshida Y;Nijman SM;Kobayashi M;Chan JA;Brunet JP;Chiang DY;Villanueva A;Newell P;Ikeda K;Hashimoto M;Watanabe G;Gabriel S;Friedman SL;Kumada H;Llovet JM;Golub TR
通讯作者:
Golub TR
影响因子:
64.5
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Li Z;Tuteja G;Schug J;Kaestner KH
通讯作者:
Kaestner KH
影响因子:
11.2
作者:
Alonso, Soledad R.;Tracey, Lorraine;Rodriguez-Peralto, Jose L.
通讯作者:
Rodriguez-Peralto, Jose L.
影响因子:
13.5
作者:
Kojiro, Masamichi;Wanless, Ian R.;Toniakos, Dina
通讯作者:
Toniakos, Dina
影响因子:
13.5
作者:
Keng, Vincent W.;Sia, Daniela;Sarver, Aaron L.;Tschida, Barbara R.;Fan, Danhua;Alsinet, Clara;Sole, Manel;Lee, Wai L.;Kuka, Timothy P.;Moriarity, Branden S.;Villanueva, Augusto;Dupuy, Adam J.;Riordan, Jesse D.;Bell, Jason B.;Silverstein, Kevin A. T.;Llovet, Josep M.;Largaespada, David A.
通讯作者:
Largaespada, David A.