Yim Sun Young, Lee Ju-Seog
Department of Internal Medicine, Korea University College of Medicine, Seoul, Korea.
Department of Systems Biology, The University of Texas M. D. Anderson Cancer Center, Houston, TX, 77030, USA.
J Hepatocell Carcinoma. 2021 Sep 7;8:1077-1088. doi: 10.2147/JHC.S270533. eCollection 2021.
Tumor classifications based on alterations in the genome, epigenome, or proteome have revealed distinct tumor subgroups that are associated with clinical outcomes. Several landmark studies have demonstrated that such classifications can significantly improve patient outcomes by enabling tailoring of therapy to specific alterations in cancer cells. Since cancer cells accumulate numerous alterations in many cancer-related genes, it is a daunting task to find and confirm important cancer-promoting alterations as therapeutic targets or biomarkers that can predict clinical outcomes such as survival and response to treatments. To aid further advances, we provide here an overview of the current understanding of molecular and genomic subtypes of hepatocellular carcinoma (HCC). System-level integration of data from multiple studies and development of new technical platforms for analyzing patient samples hold great promise for the discovery of new targets for treatment and correlated biomarkers, leading to personalized medicine for treatment of HCC patients.
基于基因组、表观基因组或蛋白质组改变的肿瘤分类已揭示出与临床结果相关的不同肿瘤亚组。多项具有里程碑意义的研究表明,此类分类可通过根据癌细胞的特定改变量身定制治疗方案,显著改善患者预后。由于癌细胞在许多与癌症相关的基因中积累了大量改变,因此寻找并确认重要的促癌改变作为治疗靶点或可预测生存和治疗反应等临床结果的生物标志物是一项艰巨的任务。为助力进一步进展,我们在此概述目前对肝细胞癌(HCC)分子和基因组亚型的认识。来自多项研究的数据的系统级整合以及用于分析患者样本的新技术平台的开发,对于发现新的治疗靶点和相关生物标志物具有巨大潜力,从而为HCC患者带来个性化医疗。