Liang Weiwei, Sun Fangfang
Department of Endocrinology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Cancer Institute (Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education; Key Laboratory of Molecular Biology in Medical Sciences), The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Front Endocrinol (Lausanne). 2019 May 15;10:301. doi: 10.3389/fendo.2019.00301. eCollection 2019.
To construct ceRNA network and identify pivotal competing endogenous RNAs (ceRNAs) in adrenocortical carcinoma (ACC) using ceRNA network analysis. The RNA sequencing expression data of 77 ACCs in TCGA were obtained from GEPIA. Cancer specific ceRNAs, cancer specific microRNAs (miRNAs), and cancer specific messenger RNAs (mRNAs) were identified. The interaction of cancer specific miRNAs with cancer specific ceRNAs and cancer specific mRNAs were predicted. CeRNA network was constructed and visualized by Cytoscape 3.7.0 software. The genes in ceRNA network regulated GO terms and regulated pathways were performed by function analysis. Survival analysis of pivotal ceRNAs was performed for the pivotal lncRNAs. Twenty-eight cancer specific ceRNAs, 149 cancer specific miRNAs, and 104 mRNAs were identified. CeRNA network was constructed including 10 ceRNAs, 35 miRNAs, and 34 mRNAs. The genes in ceRNA network regulated GO terms and were classified into three groups: cellular component (CC), molecular function (MF), and biological process (BP). The genes in ceRNA network regulated the following pathways: leukocyte transendothelial migration, and proteoglycans in cancer. Survival analysis showed that CTB-63M22.1 and RP1-241P17.4 were significantly associated with ACC patient disease free survival and overall survival. This study has constructed ceRNA networks in ACC. The study provides a set of pivotal ceRNAs for future investigation into the molecular mechanisms.
利用ceRNA网络分析构建肾上腺皮质癌（ACC）的ceRNA网络并鉴定关键的竞争性内源性RNA（ceRNA）。从GEPIA获取TCGA中77例ACC的RNA测序表达数据。鉴定癌症特异性ceRNA、癌症特异性微小RNA（miRNA）和癌症特异性信使RNA（mRNA）。预测癌症特异性miRNA与癌症特异性ceRNA和癌症特异性mRNA之间的相互作用。使用Cytoscape 3.7.0软件构建并可视化ceRNA网络。通过功能分析对ceRNA网络中调控的基因本体（GO）术语和调控途径进行分析。对关键的长链非编码RNA（lncRNA）进行关键ceRNA的生存分析。鉴定出28个癌症特异性ceRNA、149个癌症特异性miRNA和104个mRNA。构建了包含10个ceRNA、35个miRNA和34个mRNA的ceRNA网络。ceRNA网络中调控的基因GO术语分为三组：细胞成分（CC）分子功能（MF）和生物学过程（BP）。ceRNA网络中的基因调控以下途径：白细胞跨内皮迁移和癌症中的蛋白聚糖。生存分析表明，CTB-63M22.1和RP1-241P17.4与ACC患者的无病生存期和总生存期显著相关。本研究构建了ACC中的ceRNA网络。该研究为未来分子机制的研究提供了一组关键的ceRNA。
