Chongqing Engineering Laboratory of Green Planting and Deep Processing of famous-region drug in the Three Gorges Reservoir Region, College of Biology and Food Engineering, Chongqing Three Gorges University, Chongqing 404120, People's Republic of China.
Chongqing Center for Drug Certification and Evaluation, Chongqing, 401120 People's Republic of China.
IET Syst Biol. 2020 Dec;14(6):391-398. doi: 10.1049/iet-syb.2020.0061.
This study was to identify important circRNA-miRNA-mRNA (ceRNAs) regulatory mechanisms in hepatocellular carcinoma (HCC). The circRNA dataset GSE97332 and miRNA dataset GSE57555 were used for analyses. Functional enrichment analysis for miRNA and target gene was conducted using cluster Profiler. Survival analysis was conducted through R package Survival. The ceRNAs and drug-gene interaction networks were constructed. The ceRNAs network contained five miRNAs including hsa-miR-25-3p, hsa-miR-3692-5p, hsa-miR-4270, hsa-miR-331-3p, and hsa-miR-125a-3p. Among the network, hsa-miR-25-3p targeted the most genes, hsa-miR-3692-5p and hsa-miR-4270 were targeted by more circRNAs than other miRNAs, hsa-circ-0034326 and hsa-circ-0011950 interacted with three miRNAs. Furthermore, target genes, including , , , , , and were obtained in drug-gene interaction network. Survival analysis showed , , , , , and were significantly associated with prognosis of HCC. , , and were significantly enriched in proteoglycans in cancer. Moreover, hsa-circ-0034326 and hsa-circ-0011950 might function as ceRNAs to play key roles in HCC. Furthermore, miR-25-3p, miR-3692-5p, and miR-4270 might be significant for HCC development. , , , , and might be prognostic factors for HCC patients via proteoglycans in cancer pathway. Taken together, the findings will provide novel insight into pathogenesis, selection of therapeutic targets and prognostic factors for HCC.
本研究旨在鉴定肝细胞癌(HCC)中重要的环状 RNA-微小 RNA-信使 RNA(ceRNA)调控机制。使用 circRNA 数据集 GSE97332 和 miRNA 数据集 GSE57555 进行分析。使用 cluster Profiler 对 miRNA 和靶基因进行功能富集分析。通过 R 包 Survival 进行生存分析。构建 ceRNA 和药物-基因相互作用网络。ceRNA 网络包含五个 miRNA,包括 hsa-miR-25-3p、hsa-miR-3692-5p、hsa-miR-4270、hsa-miR-331-3p 和 hsa-miR-125a-3p。在网络中,hsa-miR-25-3p 靶向的基因最多,hsa-miR-3692-5p 和 hsa-miR-4270 比其他 miRNA 被更多的 circRNA 靶向,hsa-circ-0034326 和 hsa-circ-0011950 与三个 miRNA 相互作用。此外,在药物-基因相互作用网络中获得了靶基因,包括、、、、和。生存分析表明、、、、和与 HCC 的预后显著相关。、和在癌症中的蛋白聚糖中显著富集。此外,hsa-circ-0034326 和 hsa-circ-0011950 可能作为 ceRNA 发挥关键作用在 HCC 中。此外,miR-25-3p、miR-3692-5p 和 miR-4270 可能对 HCC 的发生发展具有重要意义。通过癌症途径中的蛋白聚糖,、、、和可能成为 HCC 患者的预后因素。总之,这些发现将为 HCC 的发病机制、治疗靶点的选择和预后因素提供新的见解。