School of Biological Food and Environment, Hefei University, Hefei, 230601, China.
Med Oncol. 2022 Jan 4;39(2):21. doi: 10.1007/s12032-021-01622-7.
Hepatocellular carcinoma (HCC) is a global health problem with complex etiology and pathogenesis. Microarray data are increasingly being used as a novel and effective method for cancer pathogenesis analysis. An integrative analysis of genes and miRNA for HCC was conducted to unravel the potential prognosis of HCC. Two gene microarray datasets (GSE89377 and GSE101685) and two miRNA expression profiles (GSE112264 and GSE113740) were obtained from Gene Expression Omnibus database. A total of 177 differently expressed genes (DEGs) and 80 differently expressed miRNAs (DEMs) were screened out. Functional enrichment of DEGs was proceeded by Clue GO and these genes were significantly enriched in the chemical carcinogenesis pathway. A protein-protein interaction network was then established on the STRING platform, and ten hub genes (CDC20, TOP2A, ASPM, NCAPG, AURKA, CYP2E1, HMMR, PRC1, TYMS, and CYP4A11) were visualized via Cytoscape software. Then, a miRNA-target network was established to identify the hub dysregulated miRNA. A key miRNA (hsa-miR-124-3p) was filtered. Finally, the miRNA-target-transcription factor network was constructed for hsa-miR-124-3p. The network for hsa-miR-124-3p included two transcription factors (TFs) and five targets. These identified DEGs and DEMs, TFs, targets, and regulatory networks may help advance our understanding of the underlying pathogenesis of HCC.
肝细胞癌（HCC）是一个具有复杂病因和发病机制的全球性健康问题。微阵列数据越来越多地被用作癌症发病机制分析的一种新颖而有效的方法。本研究通过综合分析 HCC 的基因和 miRNA，揭示 HCC 的潜在预后。从基因表达综合数据库中获取了两个基因微阵列数据集（GSE89377 和 GSE101685）和两个 miRNA 表达谱（GSE112264 和 GSE113740）。筛选出 177 个差异表达基因（DEGs）和 80 个差异表达 miRNA（DEMs）。通过 ClueGO 对 DEGs 进行功能富集，这些基因显著富集在化学致癌途径中。然后在 STRING 平台上建立蛋白质-蛋白质相互作用网络，并通过 Cytoscape 软件可视化十个枢纽基因（CDC20、TOP2A、ASPM、NCAPG、AURKA、CYP2E1、HMMR、PRC1、TYMS 和 CYP4A11）。然后，建立 miRNA-靶标网络以识别失调的关键 miRNA。筛选出关键 miRNA（hsa-miR-124-3p）。最后，构建 hsa-miR-124-3p 的 miRNA-靶标-转录因子网络。hsa-miR-124-3p 的网络包括两个转录因子（TFs）和五个靶标。这些鉴定的 DEGs 和 DEMs、TFs、靶标和调控网络可能有助于深入了解 HCC 的潜在发病机制。
