Bioinformatic analysis of long non-coding RNA-associated competing endogenous RNA network in adrenocortical carcinoma.

Content Provider	Europe PMC
Author	Zhou, Yang Wang, Xiao Zhu, Xi Liu, Fang-Chen Ye, Feng Wu, Dan-Hong Zhong, Ping
Copyright Year	2019
Abstract	BackgroundAdrenocortical carcinoma (ACC) is a malignant tumor with poor prognosis and unclear pathogenesis. This study aimed to explore the role of long non-coding RNAs (lncRNAs) in ACC.MethodsWe obtained the lncRNA expression profiles of 10 ACC samples and 6 normal control samples from the GEO database and identified differentially expressed RNAs using the limma package in R.ResultsWe obtained a total of 391 differentially expressed lncRNAs (DElncRNAs) and 1,313 differentially expressed mRNAs (DEmRNAs) between ACC samples and normal control samples. Using Cytoscape v3.7.0, we then constructed a lncRNA-miRNA-mRNA (competing endogenous RNA, or ceRNA) network consisting of 87 lncRNAs, 31 miRNAs, and 78 mRNAs. Applying GO and KEGG enrichment analysis for 78 mRNAs in the ceRNA network, we identified 9 GO terms and 21 significantly enriched pathways. A PPI network was constructed using STRING online tools and Cytoscape v3.7.0, identifying 10 key genes. Finally, through Kaplan-Meier survival analysis, we identified five lncRNAs (LINC00887, MEIS1-AS2, MIR29B2CHG, MIR503HG, and SREBF2-AS1) associated with prognosis in patients with ACC.ConclusionsIn summary, we constructed a ceRNA network and propose a new method for lncRNA research in ACC. Our results provide new clues for further exploration of lncRNAs in the pathogenesis of ACC.
ISSN	2218676X
Journal	Translational Cancer Research
Volume Number	8
PubMed Central reference number	PMC8798464
Issue Number	5
PubMed reference number	35116967
e-ISSN	22196803
DOI	10.21037/tcr.2019.09.34
Language	English
Publisher	AME Publishing Company
Publisher Date	2019-09-01
Access Restriction	Open
Rights License	Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0/. 2019 Translational Cancer Research. All rights reserved.
Subject Keyword	Adrenocortical carcinoma (ACC) long non-coding RNA (lncRNA) competing endogenous RNA (ceRNA) Gene Expression Omnibus (GEO) protein-protein interaction (PPI)
Content Type	Text
Resource Type	Article
Subject	Radiology, Nuclear Medicine and Imaging Cancer Research Oncology