Department of Medical Imaging, Cancer Hospital of China Medical University, Liaoning Cancer Hospital & Institute, Shenyang, China.
Eur Rev Med Pharmacol Sci. 2020 Jul;24(14):7621-7633. doi: 10.26355/eurrev_202007_22260.
The competing endogenous RNA (ceRNA) presents a comprehensive regulatory network among lncRNAs, miRNAs and mRNA. The ceRNA provides significant information in understanding the pathology of cancer. This study aimed to explore a lncRNA-associated ceRNA network for predicting the overall survival of patients with hepatocellular carcinoma (HCC).
In this study, RNA-sequencing data of HCC were downloaded from The Cancer Genomes Atlas (TCGA) database. The module-trait relationship was analyzed with Weighted gene co-expression network analysis (WGCNA). The key module associated with tumor was identified, as well as the involved lncRNAs, mRNAs and miRNAs. The preliminary ceRNA network was constructed with Cytoscape. The survival analysis was further performed to screen survival-relevant lncRNAs, mRNAs and miRNAs, and then the survival-associated ceRNA network was reconstructed.
Eventually, 5 lncRNAs, 10 miRNAs, and 25 mRNAs were included in the reconstructed ceRNA network.
The identified lncRNAs were promising candidate biomarkers in HCC diagnosis and therapeutics. This analysis process was effective to construct ceRNA network. The result will be conductive to explore the significant lncRNAs and regulatory mechanism.
竞争内源性 RNA(ceRNA)在 lncRNA、miRNA 和 mRNA 之间呈现出一个全面的调控网络。ceRNA 在理解癌症病理学方面提供了重要信息。本研究旨在探索一个与 lncRNA 相关的 ceRNA 网络,以预测肝细胞癌(HCC)患者的总生存期。
本研究从癌症基因组图谱(TCGA)数据库中下载了 HCC 的 RNA-seq 数据。使用加权基因共表达网络分析(WGCNA)分析模块-特征关系。确定与肿瘤相关的关键模块,以及涉及的 lncRNA、mRNA 和 miRNA。使用 Cytoscape 构建初步的 ceRNA 网络。进一步进行生存分析,筛选与生存相关的 lncRNA、mRNA 和 miRNA,然后重建与生存相关的 ceRNA 网络。
最终,该研究纳入了 5 个 lncRNA、10 个 miRNA 和 25 个 mRNA 构建 ceRNA 网络。
鉴定出的 lncRNA 是 HCC 诊断和治疗中有前途的候选生物标志物。该分析过程有效地构建了 ceRNA 网络。该结果有助于探索重要的 lncRNA 和调控机制。