Cargando…

Construction and Analysis of Survival-Associated Competing Endogenous RNA Network in Lung Adenocarcinoma

Increasing evidence has shown that noncoding RNAs play significant roles in the initiation, progression, and metastasis of tumours via participating in competing endogenous RNA (ceRNA) networks. However, the survival-associated ceRNA in lung adenocarcinoma (LUAD) remains poorly understood. In this s...

Descripción completa

Detalles Bibliográficos
Autores principales: Chen, Lixian, Ren, Zhonglu, Cai, Yongming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7895565/
https://www.ncbi.nlm.nih.gov/pubmed/33628780
http://dx.doi.org/10.1155/2021/4093426
_version_ 1783653379714580480
author Chen, Lixian
Ren, Zhonglu
Cai, Yongming
author_facet Chen, Lixian
Ren, Zhonglu
Cai, Yongming
author_sort Chen, Lixian
collection PubMed
description Increasing evidence has shown that noncoding RNAs play significant roles in the initiation, progression, and metastasis of tumours via participating in competing endogenous RNA (ceRNA) networks. However, the survival-associated ceRNA in lung adenocarcinoma (LUAD) remains poorly understood. In this study, we aimed to investigate the regulatory mechanisms underlying ceRNA in LUAD to identify novel prognostic factors. mRNA, lncRNA, and miRNA sequencing data obtained from the GDC data portal were utilized to identify differentially expressed (DE) RNAs. Survival-related RNAs were recognized using univariate Kaplan-Meier survival analysis. We performed functional enrichment analysis of survival-related mRNAs using the clusterProfiler package of R and STRING. lncRNA-miRNA and miRNA-mRNA interactions were predicted based on miRcode, Starbase, and miRanda. Subsequently, the survival-associated ceRNA network was constructed for LUAD. Multivariate Cox regression analysis was used to identify prognostic factors. Finally, we acquired 15 DE miRNAs, 49 DE lncRNAs, and 843 DE mRNAs associated with significant overall survival. Functional enrichment analysis indicated that survival-related DE mRNAs were enriched in cell cycle. The survival-associated lncRNA-miRNA-mRNA ceRNA network was constructed using five miRNAs, 49 mRNAs, and 21 lncRNAs. Furthermore, seven hub RNAs (LINC01936, miR-20a-5p, miR-31-5p, TNS1, TGFBR2, SMAD7, and NEDD4L) were identified based on the ceRNA network. LINC01936 and miR-31-5p were found to be significant using the multifactorial Cox regression model. In conclusion, we successfully constructed a survival-related lncRNA-miRNA-mRNA ceRNA regulatory network in LUAD and identified seven hub RNAs, which provide novel insights into the regulatory molecular mechanisms associated with survival of LUAD, and identified two independent prognostic predictors for LUAD.
format Online
Article
Text
id pubmed-7895565
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Hindawi
record_format MEDLINE/PubMed
spelling pubmed-78955652021-02-23 Construction and Analysis of Survival-Associated Competing Endogenous RNA Network in Lung Adenocarcinoma Chen, Lixian Ren, Zhonglu Cai, Yongming Biomed Res Int Research Article Increasing evidence has shown that noncoding RNAs play significant roles in the initiation, progression, and metastasis of tumours via participating in competing endogenous RNA (ceRNA) networks. However, the survival-associated ceRNA in lung adenocarcinoma (LUAD) remains poorly understood. In this study, we aimed to investigate the regulatory mechanisms underlying ceRNA in LUAD to identify novel prognostic factors. mRNA, lncRNA, and miRNA sequencing data obtained from the GDC data portal were utilized to identify differentially expressed (DE) RNAs. Survival-related RNAs were recognized using univariate Kaplan-Meier survival analysis. We performed functional enrichment analysis of survival-related mRNAs using the clusterProfiler package of R and STRING. lncRNA-miRNA and miRNA-mRNA interactions were predicted based on miRcode, Starbase, and miRanda. Subsequently, the survival-associated ceRNA network was constructed for LUAD. Multivariate Cox regression analysis was used to identify prognostic factors. Finally, we acquired 15 DE miRNAs, 49 DE lncRNAs, and 843 DE mRNAs associated with significant overall survival. Functional enrichment analysis indicated that survival-related DE mRNAs were enriched in cell cycle. The survival-associated lncRNA-miRNA-mRNA ceRNA network was constructed using five miRNAs, 49 mRNAs, and 21 lncRNAs. Furthermore, seven hub RNAs (LINC01936, miR-20a-5p, miR-31-5p, TNS1, TGFBR2, SMAD7, and NEDD4L) were identified based on the ceRNA network. LINC01936 and miR-31-5p were found to be significant using the multifactorial Cox regression model. In conclusion, we successfully constructed a survival-related lncRNA-miRNA-mRNA ceRNA regulatory network in LUAD and identified seven hub RNAs, which provide novel insights into the regulatory molecular mechanisms associated with survival of LUAD, and identified two independent prognostic predictors for LUAD. Hindawi 2021-02-11 /pmc/articles/PMC7895565/ /pubmed/33628780 http://dx.doi.org/10.1155/2021/4093426 Text en Copyright © 2021 Lixian Chen et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Chen, Lixian
Ren, Zhonglu
Cai, Yongming
Construction and Analysis of Survival-Associated Competing Endogenous RNA Network in Lung Adenocarcinoma
title Construction and Analysis of Survival-Associated Competing Endogenous RNA Network in Lung Adenocarcinoma
title_full Construction and Analysis of Survival-Associated Competing Endogenous RNA Network in Lung Adenocarcinoma
title_fullStr Construction and Analysis of Survival-Associated Competing Endogenous RNA Network in Lung Adenocarcinoma
title_full_unstemmed Construction and Analysis of Survival-Associated Competing Endogenous RNA Network in Lung Adenocarcinoma
title_short Construction and Analysis of Survival-Associated Competing Endogenous RNA Network in Lung Adenocarcinoma
title_sort construction and analysis of survival-associated competing endogenous rna network in lung adenocarcinoma
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7895565/
https://www.ncbi.nlm.nih.gov/pubmed/33628780
http://dx.doi.org/10.1155/2021/4093426
work_keys_str_mv AT chenlixian constructionandanalysisofsurvivalassociatedcompetingendogenousrnanetworkinlungadenocarcinoma
AT renzhonglu constructionandanalysisofsurvivalassociatedcompetingendogenousrnanetworkinlungadenocarcinoma
AT caiyongming constructionandanalysisofsurvivalassociatedcompetingendogenousrnanetworkinlungadenocarcinoma