Department of Molecular Pathology, Tokyo Medical University, 6-1-1 Shinjuku, Shinjuku-ku, Tokyo 160-8402, Japan.
Bioinformatics Center, Institute for Chemical Research, Kyoto University, Gokasho, Uji, Kyoto 611-0011, Japan.
Int J Mol Sci. 2024 Jul 18;25(14):7858. doi: 10.3390/ijms25147858.
Risk factors for hepatocarcinogenesis include chronic inflammation due to viral infection, liver fibrosis, and aging. In this study, we separated carcinogenic and non-carcinogenic cases due to hepatitis C virus (HCV) infection, aiming to comprehensively analyze miRNA expression in liver tissues by age, and identify factors that contribute to carcinogenesis. Total RNA was extracted from 360 chronic hepatitis C (CH), 43 HCV infected hepatocellular carcinoma (HCC), and surrounding non-tumor (SNT) tissues. MicroRNA (miRNA) expression patterns were analyzed using microarray. Using machine learning, we extracted characteristic miRNA expression patterns for each disease and age. There were no age-dependent changes in miRNA expression in the disease-specific comparisons; however, miRNA expression differed among the age groups of 50, 60, and 70 years of age between CH and SNT. The expression of miRNA was different between SNT and HCC only in patients in their 70s. Of the 55 miRNAs with significant differences in expression between CH and SNT, 34 miRNAs showed significant differences in expression even in the degree of liver fibrosis. The observation that miRNAs involved in hepatocarcinogenesis differ at different ages suggests that the mechanisms of carcinogenesis differ by age group as well. We also found that many miRNAs whose expression did not affect liver fibrosis were involved in carcinogenesis. These findings are expected to define biomarkers for detection of HCC at early stage, and develop novel therapeutic targets for HCC.
肝癌发生的危险因素包括病毒感染引起的慢性炎症、肝纤维化和衰老。在这项研究中,我们根据丙型肝炎病毒 (HCV) 感染将致癌和非致癌病例分开,旨在通过年龄综合分析肝组织中 miRNA 的表达,并确定促进癌变的因素。从 360 例慢性丙型肝炎 (CH)、43 例丙型肝炎感染的肝细胞癌 (HCC) 和周围非肿瘤 (SNT) 组织中提取总 RNA。使用微阵列分析 microRNA (miRNA) 表达模式。使用机器学习,我们从每个疾病和年龄中提取特征 miRNA 表达模式。在疾病特异性比较中,miRNA 表达没有随年龄的变化而变化;然而,在 CH 和 SNT 之间,50、60 和 70 岁年龄组之间的 miRNA 表达存在差异。仅在 70 岁的患者中,SNT 和 HCC 之间的 miRNA 表达存在差异。在 CH 和 SNT 之间表达差异显著的 55 个 miRNA 中,有 34 个 miRNA 的表达在肝纤维化程度上也存在显著差异。参与肝癌发生的 miRNA 在不同年龄存在差异的观察结果表明,致癌机制也因年龄组而异。我们还发现,许多表达不影响肝纤维化的 miRNA 参与了癌变。这些发现有望确定早期检测 HCC 的生物标志物,并为 HCC 开发新的治疗靶点。