Comprehensive Analysis of Competing Endogenous RNA (ceRNA) Network Based on RNAs Differentially Expressed in Lung Adenocarcinoma Using The Cancer Genome Atlas (TCGA) Database

BACKGROUND The aim of this study was to explore a comprehensive analysis of the competing endogenous (ceRNA) network of lung adenocarcinoma and predict its regulatory mechanism and prognosis correlation based on The Cancer Genome Atlas (TCGA) database. MATERIAL AND METHODS The genes expression data from 535 lung adenocarcinoma cases and 59 normal tissue cases were acquired and downloaded from TCGA database, and differentially expressed messenger RNA (mRNA), long noncoding RNA (lncRNA) and microRNA (miRNA) were selected primarily by "edgeR" package in R software, which further constructs lncRNA-miRNA-mRNA ceRNA network. We then proceed to carry out Gene Ontology enrichment analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, and Kaplan-Meier survival analysis of the mRNAs involved in the ceRNA network. RESULTS There are 3 mRNAs (ANLN, IGFBP1, and TFAP2A) in differentially expressed genes, 4 lncRNAs (AC015923.1, FGF12-AS2, LINC00211, and MED4-AS1), and 2 miRNAs (miR-31 and miR-490) associated with the prognostic of lung adenocarcinoma. Besides, LINC00461 and has-mir-139 as key nodes were found in the ceRNA network. Significantly, miR-31 shows the greatest prognostic value related to the adverse effect of the prognostic of lung adenocarcinoma (P<0.001). CONCLUSIONS By analyzing the expression data of lung adenocarcinoma in TCGA database, we found that 3 mRNAs, 4 lncRNAs, and 2 miRNAs were screened as potential prognostic factors for lung adenocarcinoma. In addition, LINC00461 and has-mir-139 are 2 important regulatory network nodes in lung adenocarcinoma ceRNA.

Medienart:

E-Artikel

Erscheinungsjahr:

2020

Erschienen:

2020

Enthalten in:

Zur Gesamtaufnahme - volume:26

Enthalten in:

Medical science monitor : international medical journal of experimental and clinical research - 26(2020) vom: 13. Juni, Seite e922676

Sprache:

Englisch

Beteiligte Personen:

Tang, Huaihui [VerfasserIn]
Wang, Zhongshuai [VerfasserIn]
Shao, Qianqian [VerfasserIn]
Wang, Yue [VerfasserIn]
Yang, Qingshan [VerfasserIn]

Links:

Volltext

Themen:

63231-63-0
Journal Article
MicroRNAs
RNA
RNA, Long Noncoding
RNA, Messenger

Anmerkungen:

Date Completed 06.04.2021

Date Revised 06.04.2021

published: Electronic

Citation Status MEDLINE

doi:

10.12659/MSM.922676

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM311129501