Screening of prognostic biomarkers for endometrial carcinoma based on a ceRNA network.

Ming-Jun Zheng; Rui Gou; Wen-Chao Zhang; Xin Nie; Jing Wang; Ling-Ling Gao; Juan-Juan Liu; Xiao Li; Bei Lin

Objective. 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. Methods. 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. Results. 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. Conclusion. Our results reveal new potential mechanisms underlying the carcinogenesis and progression of endometrial carcinoma.

CARCINOMA; MICRORNA; BIOMARKERS; GENE regulatory networks; DATABASE searching

PeerJ, 2018, p1

2167-8359

Academic Journal

10.7717/peerj.6091