Ma Ning, Jin Ao, Sun Yitong, Jin Yiyao, Sun Yucheng, Xiao Qian, Sha XuanYi, Yu Fengxue, Yang Lei, Liu Wenxuan, Gao Xia, Zhang Xiaolin, Li Lu
Hebei Key Laboratory of Environment and Human Health, Department of Social Medicine and Health Care Management, School of Public Health, Hebei Medical University, Shijiazhuang, China.
Hebei Key Laboratory of Environment and Human Health, Department of Epidemiology and Statistics, School of Public Health, Hebei Medical University, Shijiazhuang, China.
Front Oncol. 2023 Mar 24;13:1124459. doi: 10.3389/fonc.2023.1124459. eCollection 2023.
Hepatocellular carcinoma associated with chronic hepatitis B virus infection seriously affects human health. Present studies suggest that genetic susceptibility plays an important role in the mechanism of cancer development. Therefore, this study focused on single nucleotide polymorphisms (SNPs) of genes associated with HBV-HCC. Five groups of participants were included in this study, which were healthy control group (HC), spontaneous clearance (SC), chronic hepatitis B group (CHB), HBV-related liver cirrhosis group (LC) and HBV-related hepatocellular carcinoma group (HBV-HCC). A total of 3128 participants met the inclusion and exclusion criteria for this study. 20 polymorphic loci on , and were selected for genotyping. There were four case-control studies, which were HC vs. HCC, SC vs. HCC, CHB vs. HCC and LC vs. HCC. We used Hardy-Weinberg equilibrium test, unconditional logistic regression, haplotype analysis, and gene-gene interaction for genetic analysis. Ultimately, after excluding confounding factors such as age, gender, smoking and drinking, 12 polymorphisms were found to be associated with genetic susceptibility to HCC. Haplotype analysis showed the risk haplotype GTTT (rs1805355_G, rs3776968_T, rs1428030_C, rs181747_C) was more frequent in the HCC group compared with the HC group. The GMDR analysis showed that the best interaction model was the three-factor model of -rs1981928, -rs26779 and -rs2348244 in SC vs. HCC group (P=0.001). In addition, we found multiplicative or additive interactions between genes in our selected SNPs. These findings provide new ideas to further explore the etiology and pathogenesis of HCC. We have attempted to explain the molecular mechanisms by which certain SNPs (-rs4952887, -rs26779, -rs181747 and -rs32950) affect genetic susceptibility to HCC from the perspectives of eQTL, TFBS, cell cycle and so on. We also explained the results of haplotypes and gene-gene interactions. These findings provide new ideas to further explore the etiology and pathogenesis of HCC.
与慢性乙型肝炎病毒感染相关的肝细胞癌严重影响人类健康。目前的研究表明,遗传易感性在癌症发生机制中起重要作用。因此,本研究聚焦于与乙肝相关肝细胞癌(HBV-HCC)相关基因的单核苷酸多态性(SNP)。本研究纳入了五组参与者,分别为健康对照组(HC)、自发清除组(SC)、慢性乙型肝炎组(CHB)、HBV相关肝硬化组(LC)和HBV相关肝细胞癌组(HBV-HCC)。共有3128名参与者符合本研究的纳入和排除标准。选择了位于 、 和 上的20个多态性位点进行基因分型。有四项病例对照研究,分别为HC与HCC、SC与HCC、CHB与HCC以及LC与HCC。我们使用哈迪-温伯格平衡检验、无条件逻辑回归、单倍型分析和基因-基因相互作用进行遗传分析。最终,在排除年龄、性别、吸烟和饮酒等混杂因素后,发现12个多态性与HCC的遗传易感性相关。单倍型分析显示,与HC组相比,HCC组中风险单倍型GTTT(rs1805355_G、rs3776968_T、rs1428030_C、rs181747_C)更为常见。GMDR分析显示,在SC与HCC组中,最佳相互作用模型是-rs1981928、-rs26779和-rs2348244的三因素模型(P=0.001)。此外,我们在所选SNP中发现了基因之间的相乘或相加相互作用。这些发现为进一步探索HCC的病因和发病机制提供了新思路。我们试图从eQTL、TFBS、细胞周期等角度解释某些SNP(-rs4952887、-rs26779、-rs181747和-rs32950)影响HCC遗传易感性的分子机制。我们还解释了单倍型和基因-基因相互作用的结果。这些发现为进一步探索HCC的病因和发病机制提供了新思路。