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Original Research ARTICLE Provisionally accepted The full-text will be published soon. Notify me

Front. Oncol. | doi: 10.3389/fonc.2019.00448

Integrated bioinformatic analysis of a competing endogenous RNA network reveals a prognostic signature in endometrial cancer

  • 1Department of Obstetrics and Gynecology, Shanghai Changhai Hospital, China
  • 2Changhai Hospital, China
  • 3Second Military Medical University, China

In endometrial carcinoma, the clinical outcome directly correlates with the TNM stage, but the lack of sufficient information prevents accurate prediction. The molecular mechanism underlying the competing endogenous RNA (ceRNA) hypothesis has not been investigated in endometrial cancer. Multi-bioinformatic analyses, including differentially expressed gene analysis, ceRNA network construction, Cox regression analysis, function enrichment analysis, and protein-protein network analysis, were performed on the sequence data acquired from The Cancer Genome Atlas (TCGA) data bank. A ceRNA network comprising 366 mRNAs, 27 microRNAs (miRNAs), and 66 long non-coding RNAs (lncRNAs) was established. Survival analysis performed with the univariate Cox regression analysis revealed nine lncRNAs with prognostic power in endometrial carcinoma. In multivariate Cox regression analysis, a signature comprising LINC00491, LINC00483, ADARB2-AS1, and C8orf49 showed remarkable prognostic power. Risk score and neoplasm status, but not TNM stage, were independent prognostic factors of endometrial carcinoma.
A ceRNA network comprising differentially expressed mRNAs, miRNAs, and lncRNAs may reveal the molecular events involved in the progression of endometrial carcinoma. In addition, the signature with prognostic value may discriminate patients with increased risk for poor outcome, which may allow physicians to take accurate decisions.

Keywords: endometrial cancer, ceRNA network, Prognostic factor, lncRNA, TCGA

Received: 21 Sep 2018; Accepted: 13 May 2019.

Edited by:

Massimo Nabissi, University of Camerino, Italy

Reviewed by:

Changqing Su, Eastern Hepatobiliary Surgery Hospital, China
Xiaofan Lu, China Pharmaceutical University, China
Qin Yang, State Key Laboratory of Oncogenes and Related Genes, Shanghai Jiaotong University, China  

Copyright: © 2019 Xia, meng, wang, Su, Zi, wang, he, wen, zhang and Xu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Miss. Leilei Xia, Department of Obstetrics and Gynecology, Shanghai Changhai Hospital, Shanghai, China, xll1992222@126.com