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RESEARCH PRODUCT

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

Young Nyun ParkSnorri S. ThorgeirssonMyoung Soo KimJens U. MarquardtDaekwan SeoElizabeth A. ConnerPeter R. GalleJesper B. AndersenMatthew C. GillenValentina M. Factor

subject

AdultMaleHepatocarcinogenesisCarcinoma HepatocellularCarcinogenesisBiologyBioinformaticsmedicine.disease_causePolymorphism Single NucleotideArticleMalignant transformationTranscriptomeCarcinomamedicineTumor MicroenvironmentHumansMolecular pathogenesisRNA NeoplasmGeneAgedTumor microenvironmentHepatologyGene Expression ProfilingLiver NeoplasmsWnt signaling pathwayRNA sequencingMiddle Agedmedicine.diseaseGene expression profilingCell Transformation NeoplasticMutationCancer researchDisease ProgressionFemaleCarcinogenesis

description

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.

10.1016/j.jhep.2013.10.014https://europepmc.org/articles/PMC3943679/