Department of Hepatobiliary Surgery, the Affiliated Hospital of Binzhou Medical University, Binzhou, China.
Department of Hepatobiliary Surgery, the Affiliated Hospital of Binzhou Medical University, Binzhou, China.
Pathol Res Pract. 2020 Jun;216(6):152982. doi: 10.1016/j.prp.2020.152982. Epub 2020 Apr 21.
Dysregulation of miRNAs is closely involved with hepatocellular carcinoma (HCC) progression, oncogenesis and signalling pathways. The aim of this study was to investigate differences in expression of miRNAs in HCC tissue in comparison to healthy liver tissue, as well as to explore the key miRNA-targeted genes.
Gene Chip microarray analysis was used to analyse differentially expressed miRNAs (DEMs) in tissues, and qRT-PCR was performed to validate the top 9 downregulated miRNAs. Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes pathway (KEGG) enrichment analyses were performed for target genes using the DAVID database. A protein-protein interaction (PPI) network of the target genes was created by STRING and visualised using Cytoscape. Three online miRNA databases were utilised to aid in the prediction of genes targeted by the top 10 significantly altered DEMs.
In total, 153 upregulated and 206 downregulated miRNAs were identified in HCC tissue. The genes targeted by the top 10 increased and decreased miRNAs were 6 and 1060, respectively. Moreover, FOXO1 was projected to be regulated by all twenty miRNAs. A PPI network was constructed that consisted of 956 nodes and 1298 edges. Four significant modules, consisting of 66 hub genes, were detected from the PPI system via MCODE. Functional enrichment demonstrated that miRNAs have a vital function in cancer development and advancement.
In summary, our study identified DEMs in HCC tissue, major target genes and possible molecular mechanisms that underlie HCC, providing novel insights for treatment approaches.
miRNAs 的失调与肝细胞癌(HCC)的进展、癌变和信号通路密切相关。本研究旨在探讨 HCC 组织与正常肝组织中 miRNAs 的表达差异,并探索关键的 miRNA 靶向基因。
采用基因芯片微阵列分析技术分析组织中差异表达的 miRNAs(DEMs),并通过 qRT-PCR 验证前 9 个下调的 miRNAs。使用 DAVID 数据库对靶基因进行基因本体论(GO)和京都基因与基因组百科全书通路(KEGG)富集分析。通过 STRING 创建靶基因的蛋白质-蛋白质相互作用(PPI)网络,并使用 Cytoscape 可视化。利用三个在线 miRNA 数据库辅助预测前 10 个显著改变的 DEMs 靶向的基因。
共鉴定出 HCC 组织中 153 个上调和 206 个下调的 miRNAs。前 10 个上调和下调 miRNAs 的靶基因分别为 6 个和 1060 个。此外,预测所有 20 个 miRNA 都靶向调控 FOXO1。构建了一个包含 956 个节点和 1298 条边的 PPI 网络。通过 MCODE 从 PPI 系统中检测到包含 66 个枢纽基因的 4 个显著模块。功能富集表明,miRNAs 在癌症的发生和发展中具有重要作用。
综上所述,本研究鉴定了 HCC 组织中的 DEMs、主要靶基因和可能的分子机制,为 HCC 的治疗方法提供了新的见解。