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环状 RNA 网络在透明细胞肾细胞癌中具有潜在的预后价值:基于 TCGA 数据库的研究。

The ceRNA Network Has Potential Prognostic Value in Clear Cell Renal Cell Carcinoma: A Study Based on TCGA Database.

机构信息

Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, School of Medicine, South China University of Technology, Guangdong Guangzhou, China.

Department of Breast Surgery, Breast Tumor Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangdong Guangzhou, China.

出版信息

Biomed Res Int. 2020 Jun 26;2020:4830847. doi: 10.1155/2020/4830847. eCollection 2020.

Abstract

Clear cell renal cell carcinoma (ccRCC) is a very common cancer in urology. Many evidences suggest that complex changed pathways take a nonnegligible part in the occurrence and development of ccRCC. Nevertheless, the underlying mechanism is not clear. In this study, the expression data between ccRCC and normal tissue samples in TCGA database were compared to distinguish differentially expressed genes (DEGs: mRNAs, miRNAs, and lncRNAs). Afterwards, we used GO enrichment and KEGG pathway enrichment analyses to explore the functions of these DEGs. We also found the correlation between three RNAs and created a competing endogenous RNA (ceRNA) network. Moreover, we used univariate Cox regression analysis to select DEGs that are connected with overall survival (OS) of ccRCC patients. We found 1652 mRNAs, 1534 lncRNAs, and 173 miRNAs that were distinguished in ccRCC compared with normal tissues. According to GO analysis, the maladjusted mRNAs are mainly concentrated in immune cell activation and kidney development, while according to KEGG, they are mainly concentrated in pathways related to cancer. A total of 5 mRNAs, 1 miRNA, and 4 lncRNAs were connected with patients' OS. In this article, a network of lncRNA-miRNA-mRNA was established; it is expected to be able to indicate possible molecular mechanisms for initial of ccRCC and provide a new viewpoint for diagnosis of ccRCC.

摘要

透明细胞肾细胞癌(ccRCC)是泌尿外科中非常常见的一种癌症。许多证据表明,复杂的改变途径在 ccRCC 的发生和发展中起着不可忽视的作用。然而,其潜在机制尚不清楚。在这项研究中,我们比较了 TCGA 数据库中 ccRCC 和正常组织样本之间的表达数据,以区分差异表达基因(DEGs:mRNA、miRNA 和 lncRNA)。随后,我们使用 GO 富集和 KEGG 通路富集分析来探讨这些 DEGs 的功能。我们还发现了三种 RNA 之间的相关性,并构建了一个竞争内源性 RNA(ceRNA)网络。此外,我们使用单变量 Cox 回归分析筛选与 ccRCC 患者总生存期(OS)相关的 DEGs。我们发现与正常组织相比,ccRCC 中有 1652 个 mRNAs、1534 个 lncRNAs 和 173 个 miRNA 存在差异。根据 GO 分析,失调的 mRNAs 主要集中在免疫细胞激活和肾脏发育中,而根据 KEGG,它们主要集中在与癌症相关的途径中。共有 5 个 mRNAs、1 个 miRNA 和 4 个 lncRNAs 与患者的 OS 相关。本文构建了一个 lncRNA-miRNA-mRNA 网络,有望为 ccRCC 的早期发生提供可能的分子机制,并为 ccRCC 的诊断提供新的视角。

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