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Construction and Analysis of lncRNA-Mediated ceRNA Network in Cervical Squamous Cell Carcinoma by Weighted Gene Co-Expression Network Analysis

BACKGROUND: More and more recent studies have clearly shown that long non-coding RNA (lncRNA) should be considered as a fundamental part of the ceRNA network, mainly because lncRNA can act as miRNA sponges to regulate the protein-coding gene expression. Nevertheless, it is still not clear how lncRNA...

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Autores principales: Chen, Weihao, Chen, Xudong, Wang, Yurong, Liu, Tianhao, Liang, Yudan, Xiao, Ya, Chen, Liguo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Scientific Literature, Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6474298/
https://www.ncbi.nlm.nih.gov/pubmed/30965350
http://dx.doi.org/10.12659/MSM.913471
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author Chen, Weihao
Chen, Xudong
Wang, Yurong
Liu, Tianhao
Liang, Yudan
Xiao, Ya
Chen, Liguo
author_facet Chen, Weihao
Chen, Xudong
Wang, Yurong
Liu, Tianhao
Liang, Yudan
Xiao, Ya
Chen, Liguo
author_sort Chen, Weihao
collection PubMed
description BACKGROUND: More and more recent studies have clearly shown that long non-coding RNA (lncRNA) should be considered as a fundamental part of the ceRNA network, mainly because lncRNA can act as miRNA sponges to regulate the protein-coding gene expression. Nevertheless, it is still not clear how lncRNA-mediated ceRNAs function in cervical squamous cell carcinoma (CESC). Moreover, information about the ceRNA regulatory mechanism is also remarkably limited; thus, prediction of CESC prognosis using ceRNA-related information remains challenging. MATERIAL/METHODS: We collected 306 RNA (lncRNA, miRNA, and mRNA) expression profile datasets obtained from cervical squamous cancer tissues plus 3 more from adjacent cervical tissues via the TCGA database. Subsequently, we constructed a lncRNAs-miRNAs-mRNAs CESC ceRNA network, and Gene Ontology (GO) analysis was carried out. RESULTS: We identified a total of 30 DElncRNAs, 70 DEmiRNAs, and 1089 DEmRNAs in CESC. Subsequently, to reveal the expression patterns of dysregulated genes, weighted gene co-expression network analysis was carried out, resulting in 3 co-expression modules with significantly related clinical properties. The constructed aberrant lncRNAs-miRNAs-mRNAs CESC ceRNA network was composed of 17 DEmiRNAs, 5 DElncRNAs, and 7 DEmRNAs. Moreover, the survival analysis was performed for DElncRNAs, DEmiRNAs, and DEmRNAs. CONCLUSIONS: The present study shows the involvement of the lncRNA-related ceRNA network in the pathogenesis of CESC. We believe the newly generated ceRNA network will provide more insights into the lncRNA-mediated ceRNA regulatory mechanisms.
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spelling pubmed-64742982019-05-23 Construction and Analysis of lncRNA-Mediated ceRNA Network in Cervical Squamous Cell Carcinoma by Weighted Gene Co-Expression Network Analysis Chen, Weihao Chen, Xudong Wang, Yurong Liu, Tianhao Liang, Yudan Xiao, Ya Chen, Liguo Med Sci Monit Molecular Biology BACKGROUND: More and more recent studies have clearly shown that long non-coding RNA (lncRNA) should be considered as a fundamental part of the ceRNA network, mainly because lncRNA can act as miRNA sponges to regulate the protein-coding gene expression. Nevertheless, it is still not clear how lncRNA-mediated ceRNAs function in cervical squamous cell carcinoma (CESC). Moreover, information about the ceRNA regulatory mechanism is also remarkably limited; thus, prediction of CESC prognosis using ceRNA-related information remains challenging. MATERIAL/METHODS: We collected 306 RNA (lncRNA, miRNA, and mRNA) expression profile datasets obtained from cervical squamous cancer tissues plus 3 more from adjacent cervical tissues via the TCGA database. Subsequently, we constructed a lncRNAs-miRNAs-mRNAs CESC ceRNA network, and Gene Ontology (GO) analysis was carried out. RESULTS: We identified a total of 30 DElncRNAs, 70 DEmiRNAs, and 1089 DEmRNAs in CESC. Subsequently, to reveal the expression patterns of dysregulated genes, weighted gene co-expression network analysis was carried out, resulting in 3 co-expression modules with significantly related clinical properties. The constructed aberrant lncRNAs-miRNAs-mRNAs CESC ceRNA network was composed of 17 DEmiRNAs, 5 DElncRNAs, and 7 DEmRNAs. Moreover, the survival analysis was performed for DElncRNAs, DEmiRNAs, and DEmRNAs. CONCLUSIONS: The present study shows the involvement of the lncRNA-related ceRNA network in the pathogenesis of CESC. We believe the newly generated ceRNA network will provide more insights into the lncRNA-mediated ceRNA regulatory mechanisms. International Scientific Literature, Inc. 2019-04-09 /pmc/articles/PMC6474298/ /pubmed/30965350 http://dx.doi.org/10.12659/MSM.913471 Text en © Med Sci Monit, 2019 This work is licensed under Creative Common Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) )
spellingShingle Molecular Biology
Chen, Weihao
Chen, Xudong
Wang, Yurong
Liu, Tianhao
Liang, Yudan
Xiao, Ya
Chen, Liguo
Construction and Analysis of lncRNA-Mediated ceRNA Network in Cervical Squamous Cell Carcinoma by Weighted Gene Co-Expression Network Analysis
title Construction and Analysis of lncRNA-Mediated ceRNA Network in Cervical Squamous Cell Carcinoma by Weighted Gene Co-Expression Network Analysis
title_full Construction and Analysis of lncRNA-Mediated ceRNA Network in Cervical Squamous Cell Carcinoma by Weighted Gene Co-Expression Network Analysis
title_fullStr Construction and Analysis of lncRNA-Mediated ceRNA Network in Cervical Squamous Cell Carcinoma by Weighted Gene Co-Expression Network Analysis
title_full_unstemmed Construction and Analysis of lncRNA-Mediated ceRNA Network in Cervical Squamous Cell Carcinoma by Weighted Gene Co-Expression Network Analysis
title_short Construction and Analysis of lncRNA-Mediated ceRNA Network in Cervical Squamous Cell Carcinoma by Weighted Gene Co-Expression Network Analysis
title_sort construction and analysis of lncrna-mediated cerna network in cervical squamous cell carcinoma by weighted gene co-expression network analysis
topic Molecular Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6474298/
https://www.ncbi.nlm.nih.gov/pubmed/30965350
http://dx.doi.org/10.12659/MSM.913471
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