Cui Dawei, Li Wei, Jiang Daixi, Wu Jianguo, Xie Jue, Wu Yingping
Department of Blood Transfusion, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Center of Research Laboratory, The First People's Hospital of Lianyungang, Lianyungang, China.
Front Med (Lausanne). 2021 Sep 30;8:754709. doi: 10.3389/fmed.2021.754709. eCollection 2021.
Hepatitis B virus (HBV) specifically infects liver cells, leading to progressive liver cirrhosis and significantly increasing the risk of hepatocellular carcinoma (HCC). The maturity of sequencing technology, improvement in bioinformatics data analysis and progress of omics technologies had improved research efficiency. The occurrence and progression of HCC are affected by multisystem and multilevel pathological changes. With the application of single-omics technologies, including genomics, transcriptomics, metabolomics and proteomics in tissue and body fluid samples, and even the novel development of multi-omics analysis on a single-cell platform, HBV-associated HCC changes can be better analyzed. The review summarizes the application of single omics and combined analysis of multi-omics data in HBV-associated HCC and proposes the importance of multi-omics analysis in the type of HCC, which provide the possibility for the precise diagnosis and therapy of HBV-associated HCC.
乙型肝炎病毒(HBV)特异性感染肝细胞,导致进行性肝硬化,并显著增加肝细胞癌(HCC)的风险。测序技术的成熟、生物信息学数据分析的改进以及组学技术的进步提高了研究效率。HCC的发生和发展受多系统、多层次病理变化的影响。随着单一组学技术(包括基因组学、转录组学、代谢组学和蛋白质组学)在组织和体液样本中的应用,甚至单细胞平台上多组学分析的新发展,可以更好地分析HBV相关的HCC变化。本文综述了单一组学和多组学数据联合分析在HBV相关HCC中的应用,并提出了多组学分析在该类型HCC中的重要性,为HBV相关HCC的精准诊断和治疗提供了可能性。