Zheng Ming-Jun, Gou Rui, Zhang Wen-Chao, Nie Xin, Wang Jing, Gao Ling-Ling, Liu Juan-Juan, Li Xiao, Lin Bei
Department of Gynaecology and Obstetrics, Shengjing hospital affiliated to China Medical University, Liaoning, China.
Key laboratory of Maternal-Fetal Medicine of Liaoning Province, Key laboratory of Obstetrics and Gynecology of higher education of Liaoning Province, Liaoning, China.
PeerJ. 2018 Dec 10;6:e6091. doi: 10.7717/peerj.6091. eCollection 2018.
This study aims to reveal the regulation network of lncRNAs-miRNAs-mRNA in endometrial carcinoma (EC), to investigate the underlying mechanisms of EC occurrence and progression, to screen prognostic biomarkers.
RNA-seq and miRNA-seq data of endometrial carcinoma were downloaded from the TCGA database. Edge.R package was used to screen differentially expressed genes. A database was searched to determine differentially expressed lncRNA-miRNA and miRNA-mRNA pairs, to construct the topological network of ceRNA, and to elucidate the key RNAs that are for a prognosis of survival.
We screened out 2632 mRNAs, 1178 lncRNAs and 189 miRNAs that were differentially expressed. The constructed ceRNA network included 97 lncRNAs, 20 miRNAs and 73 mRNAs. Analyzing network genes for associations with prognosies revealed 169 prognosis-associated RNAs, including 92 lncRNAs, 16miRNAs and 61 mRNAs.
Our results reveal new potential mechanisms underlying the carcinogenesis and progression of endometrial carcinoma.
本研究旨在揭示子宫内膜癌（EC）中lncRNAs-miRNAs-mRNA的调控网络，探讨EC发生发展的潜在机制，筛选预后生物标志物。
从TCGA数据库下载子宫内膜癌的RNA-seq和miRNA-seq数据。使用Edge.R软件包筛选差异表达基因。通过检索数据库确定差异表达的lncRNA-miRNA和miRNA-mRNA对，构建ceRNA拓扑网络，并阐明影响生存预后的关键RNA。
我们筛选出2632个差异表达的mRNA、1178个lncRNA和189个miRNA。构建的ceRNA网络包括97个lncRNA、20个miRNA和73个mRNA。分析网络基因与预后的相关性，发现169个与预后相关的RNA，包括92个lncRNA、16个miRNA和61个mRNA。
我们的结果揭示了子宫内膜癌发生和发展的新潜在机制。
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