Identification of a Potentially Functional microRNA–mRNA Regulatory Network in Lung Adenocarcinoma Using a Bioinformatics Analysis

BackgroundLung adenocarcinoma (LUAD) is a common lung cancer with a high mortality, for which microRNAs (miRNAs) play a vital role in its regulation. Multiple messenger RNAs (mRNAs) may be regulated by miRNAs, involved in LUAD tumorigenesis and progression. However, the miRNA–mRNA regulatory network...

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Main Authors: Xiao-Jun Wang, Jing Gao, Zhuo Wang, Qin Yu
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-02-01
Series:Frontiers in Cell and Developmental Biology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fcell.2021.641840/full
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spelling doaj-210bfa17c81f44e09d82fe77f17e60442021-02-18T08:12:26ZengFrontiers Media S.A.Frontiers in Cell and Developmental Biology2296-634X2021-02-01910.3389/fcell.2021.641840641840Identification of a Potentially Functional microRNA–mRNA Regulatory Network in Lung Adenocarcinoma Using a Bioinformatics AnalysisXiao-Jun Wang0Xiao-Jun Wang1Jing Gao2Jing Gao3Jing Gao4Zhuo Wang5Zhuo Wang6Qin Yu7Qin Yu8The First School of Clinical Medicine, Lanzhou University, Lanzhou, ChinaDepartment of Respiratory Medicine, Gansu Provincial Hospital, Lanzhou, ChinaDepartment of Respiratory Medicine, Gansu Provincial Hospital, Lanzhou, ChinaRespiratory Medicine Unit, Department of Medicine, Karolinska Institute, Stockholm, SwedenDepartment of Pulmonary Medicine, Helsinki University Hospital, University of Helsinki, Helsinki, FinlandThe First School of Clinical Medicine, Lanzhou University, Lanzhou, ChinaDepartment of Pathology Medicine, Gansu Provincial Hospital, Lanzhou, ChinaThe First School of Clinical Medicine, Lanzhou University, Lanzhou, ChinaDepartment of Respiratory Medicine, The First Hospital of Lanzhou University, Lanzhou, ChinaBackgroundLung adenocarcinoma (LUAD) is a common lung cancer with a high mortality, for which microRNAs (miRNAs) play a vital role in its regulation. Multiple messenger RNAs (mRNAs) may be regulated by miRNAs, involved in LUAD tumorigenesis and progression. However, the miRNA–mRNA regulatory network involved in LUAD has not been fully elucidated.MethodsDifferentially expressed miRNAs and mRNA were derived from the Cancer Genome Atlas (TCGA) dataset in tissue samples and from our microarray data in plasma (GSE151963). Then, common differentially expressed (Co-DE) miRNAs were obtained through intersected analyses between the above two datasets. An overlap was applied to confirm the Co-DEmRNAs identified both in targeted mRNAs and DEmRNAs in TCGA. A miRNA–mRNA regulatory network was constructed using Cytoscape. The top five miRNA were identified as hub miRNA by degrees in the network. The functions and signaling pathways associated with the hub miRNA-targeted genes were revealed through Gene Ontology (GO) analysis and the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway. The key mRNAs in the protein–protein interaction (PPI) network were identified using the STRING database and CytoHubba. Survival analyses were performed using Gene Expression Profiling Interactive Analysis (GEPIA).ResultsThe miRNA–mRNA regulatory network consists of 19 Co-DEmiRNAs and 760 Co-DEmRNAs. The five miRNAs (miR-539-5p, miR-656-3p, miR-2110, let-7b-5p, and miR-92b-3p) in the network were identified as hub miRNAs by degrees (>100). The 677 Co-DEmRNAs were targeted mRNAs from the five hub miRNAs, showing the roles in the functional analyses of the GO analysis and KEGG pathways (inclusion criteria: 836 and 48, respectively). The PPI network and Cytoscape analyses revealed that the top ten key mRNAs were NOTCH1, MMP2, IGF1, KDR, SPP1, FLT1, HGF, TEK, ANGPT1, and PDGFB. SPP1 and HGF emerged as hub genes through survival analysis. A high SPP1 expression indicated a poor survival, whereas HGF positively associated with survival outcomes in LUAD.ConclusionThis study investigated a miRNA–mRNA regulatory network associated with LUAD, exploring the hub miRNAs and potential functions of mRNA in the network. These findings contribute to identify new prognostic markers and therapeutic targets for LUAD patients in clinical settings.https://www.frontiersin.org/articles/10.3389/fcell.2021.641840/fulllung adenocarcinomamicroRNAshub genesbioinformaticsprognostic marker
collection DOAJ
language English
format Article
sources DOAJ
author Xiao-Jun Wang
Xiao-Jun Wang
Jing Gao
Jing Gao
Jing Gao
Zhuo Wang
Zhuo Wang
Qin Yu
Qin Yu
spellingShingle Xiao-Jun Wang
Xiao-Jun Wang
Jing Gao
Jing Gao
Jing Gao
Zhuo Wang
Zhuo Wang
Qin Yu
Qin Yu
Identification of a Potentially Functional microRNA–mRNA Regulatory Network in Lung Adenocarcinoma Using a Bioinformatics Analysis
Frontiers in Cell and Developmental Biology
lung adenocarcinoma
microRNAs
hub genes
bioinformatics
prognostic marker
author_facet Xiao-Jun Wang
Xiao-Jun Wang
Jing Gao
Jing Gao
Jing Gao
Zhuo Wang
Zhuo Wang
Qin Yu
Qin Yu
author_sort Xiao-Jun Wang
title Identification of a Potentially Functional microRNA–mRNA Regulatory Network in Lung Adenocarcinoma Using a Bioinformatics Analysis
title_short Identification of a Potentially Functional microRNA–mRNA Regulatory Network in Lung Adenocarcinoma Using a Bioinformatics Analysis
title_full Identification of a Potentially Functional microRNA–mRNA Regulatory Network in Lung Adenocarcinoma Using a Bioinformatics Analysis
title_fullStr Identification of a Potentially Functional microRNA–mRNA Regulatory Network in Lung Adenocarcinoma Using a Bioinformatics Analysis
title_full_unstemmed Identification of a Potentially Functional microRNA–mRNA Regulatory Network in Lung Adenocarcinoma Using a Bioinformatics Analysis
title_sort identification of a potentially functional microrna–mrna regulatory network in lung adenocarcinoma using a bioinformatics analysis
publisher Frontiers Media S.A.
series Frontiers in Cell and Developmental Biology
issn 2296-634X
publishDate 2021-02-01
description BackgroundLung adenocarcinoma (LUAD) is a common lung cancer with a high mortality, for which microRNAs (miRNAs) play a vital role in its regulation. Multiple messenger RNAs (mRNAs) may be regulated by miRNAs, involved in LUAD tumorigenesis and progression. However, the miRNA–mRNA regulatory network involved in LUAD has not been fully elucidated.MethodsDifferentially expressed miRNAs and mRNA were derived from the Cancer Genome Atlas (TCGA) dataset in tissue samples and from our microarray data in plasma (GSE151963). Then, common differentially expressed (Co-DE) miRNAs were obtained through intersected analyses between the above two datasets. An overlap was applied to confirm the Co-DEmRNAs identified both in targeted mRNAs and DEmRNAs in TCGA. A miRNA–mRNA regulatory network was constructed using Cytoscape. The top five miRNA were identified as hub miRNA by degrees in the network. The functions and signaling pathways associated with the hub miRNA-targeted genes were revealed through Gene Ontology (GO) analysis and the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway. The key mRNAs in the protein–protein interaction (PPI) network were identified using the STRING database and CytoHubba. Survival analyses were performed using Gene Expression Profiling Interactive Analysis (GEPIA).ResultsThe miRNA–mRNA regulatory network consists of 19 Co-DEmiRNAs and 760 Co-DEmRNAs. The five miRNAs (miR-539-5p, miR-656-3p, miR-2110, let-7b-5p, and miR-92b-3p) in the network were identified as hub miRNAs by degrees (>100). The 677 Co-DEmRNAs were targeted mRNAs from the five hub miRNAs, showing the roles in the functional analyses of the GO analysis and KEGG pathways (inclusion criteria: 836 and 48, respectively). The PPI network and Cytoscape analyses revealed that the top ten key mRNAs were NOTCH1, MMP2, IGF1, KDR, SPP1, FLT1, HGF, TEK, ANGPT1, and PDGFB. SPP1 and HGF emerged as hub genes through survival analysis. A high SPP1 expression indicated a poor survival, whereas HGF positively associated with survival outcomes in LUAD.ConclusionThis study investigated a miRNA–mRNA regulatory network associated with LUAD, exploring the hub miRNAs and potential functions of mRNA in the network. These findings contribute to identify new prognostic markers and therapeutic targets for LUAD patients in clinical settings.
topic lung adenocarcinoma
microRNAs
hub genes
bioinformatics
prognostic marker
url https://www.frontiersin.org/articles/10.3389/fcell.2021.641840/full
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