Sequential transcriptome analysis of human liver cancer indicates late stage acquisition of malignant traits

Jens U. Marquardt, Daekwan Seo, Jesper B. Andersen, Matthew C. Gillen, Myoung Soo Kim, Elizabeth A. Conner, Peter R. Galle, Valentina M. Factor, Young Nyun Park, Snorri S. Thorgeirsson*

*Corresponding author for this work

Abstract

Background & Aims 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. Methods 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. 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 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. 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.

Original languageEnglish
JournalJournal of Hepatology
Volume60
Issue number2
Pages (from-to)346-353
Number of pages8
ISSN0168-8278
DOIs
Publication statusPublished - 02.2014

Funding

This work was supported by the Intramural Research Program of the NIH, National Cancer Institute, Center for Cancer Research . This work was partly supported by the Korea Science and Engineering Foundation (KOSEF) grant funded by the Korea government (MOST) ( 2011-0030707 ) to Y.N.P. J.U.M. is supported by a grant from the German Research Foundation ( MA 4443/2-1 ).

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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