Department of Oncology, Tangshan Workers' Hospital, Tangshan City 063000, Hebei Province, China.
Department of Cardiovascular Internal Medicine, Tangshan Workers' Hospital, Tangshan City 063000, Hebei Province, China.
J Healthc Eng. 2022 Mar 16;2022:9963096. doi: 10.1155/2022/9963096. eCollection 2022.
Hepatocellular carcinoma (HCC) has threatened the health of humans, and few therapeutic strategies can completely uproot this illness. Bioinformatics methods have been widely used for investigating the pathological mechanisms of disease. In this study, datasets including GSE20077 and GSE108724, obtained from the Gene Expression Omnibus (GEO) database, were used for investigating the biomarker and molecular mechanism of HCC. The differentially expressed genes (DEGs) in the datasets were identified, and the targets of the miRNAs were searched in the miRDIP and miRNET databases. Enrichment analysis was performed for delving the molecular mechanism of DEGs, and protein-protein interaction (PPI) networks and miRNA-mRNA networks were used to reveal the hub nodes and the related interaction relationships. Moreover, the expression and diagnostic values of hub nodes were analyzed with the GEPIA2 database. The results showed that 53 upregulated miRNAs and 48 downregulated miRNAs were found in GSE20077, and 55 upregulated miRNAs and 69 downregulated miRNAs were found in GSE108724. Moreover, seven common miRNAs including miR-146b-5p, miR-338-3p, miR-375, miR-502-3p, miR-532-3p, miR-532-5p, and miR-557 were found in the datasets. The targets of the common miRNAs were related with the P53, HIF1, Wnt, and NF-B pathways. Besides, YWHAZ and CDC42 were identified as the hub nodes and served as the downstream targets of miR-375-3p. The GEPIA2 database showed that YWHAZ and CDC42 were related with the survival rate of the patients. In conclusion, this study suggests that miR-375-3p functions as a tumor suppressor which could inhibit the progression of HCC via targeting YWHAZ and CDC42.
肝细胞癌 (HCC) 威胁着人类的健康，目前几乎没有治疗策略可以完全根治这种疾病。生物信息学方法已被广泛用于研究疾病的病理机制。在这项研究中，我们使用了从基因表达综合 (GEO) 数据库中获得的数据集 GSE20077 和 GSE108724，以研究 HCC 的生物标志物和分子机制。我们鉴定了这些数据集中的差异表达基因 (DEGs)，并在 miRDIP 和 miRNET 数据库中搜索了 miRNAs 的靶标。我们进行了富集分析，以深入研究 DEGs 的分子机制，并使用蛋白质-蛋白质相互作用 (PPI) 网络和 miRNA-mRNA 网络来揭示枢纽节点和相关的相互作用关系。此外，我们使用 GEPIA2 数据库分析了枢纽节点的表达和诊断价值。结果表明，在 GSE20077 中发现了 53 个上调的 miRNAs 和 48 个下调的 miRNAs，在 GSE108724 中发现了 55 个上调的 miRNAs 和 69 个下调的 miRNAs。此外，在这两个数据集中共发现了 7 个常见的 miRNAs，包括 miR-146b-5p、miR-338-3p、miR-375、miR-502-3p、miR-532-3p、miR-532-5p 和 miR-557。这些常见 miRNAs 的靶标与 P53、HIF1、Wnt 和 NF-B 途径有关。此外，YWHAZ 和 CDC42 被鉴定为枢纽节点，是 miR-375-3p 的下游靶标。GEPIA2 数据库显示，YWHAZ 和 CDC42 与患者的生存率有关。总之，本研究表明，miR-375-3p 作为一种肿瘤抑制因子发挥作用，通过靶向 YWHAZ 和 CDC42 抑制 HCC 的进展。
