10.3389/fonc.2019.00448.s003
Leilei Xia
Leilei
Xia
Ye Wang
Ye
Wang
Qi Meng
Qi
Meng
Xiaoling Su
Xiaoling
Su
Jizi Shen
Jizi
Shen
Jing Wang
Jing
Wang
Haiwei He
Haiwei
He
Biwei Wen
Biwei
Wen
Caihong Zhang
Caihong
Zhang
Mingjuan Xu
Mingjuan
Xu
Table_1_Integrated Bioinformatic Analysis of a Competing Endogenous RNA Network Reveals a Prognostic Signature in Endometrial Cancer.docx
Frontiers
2019
endometrial cancer
ceRNA network
prognostic factor
lncRNA
TCGA
2019-05-29 11:50:19
Dataset
https://frontiersin.figshare.com/articles/dataset/Table_1_Integrated_Bioinformatic_Analysis_of_a_Competing_Endogenous_RNA_Network_Reveals_a_Prognostic_Signature_in_Endometrial_Cancer_docx/8198039
<p>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.</p>