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Construction of a Competitive Endogenous RNA Network in Uterine Corpus Endometrial Carcinoma
BACKGROUND: Long non-coding RNAs (lncRNAs) affect post-transcriptional regulation by interfering with microRNAs (miRNAs), and by acting as competitive endogenous RNAs (ceRNAs). The roles and mechanisms of lncRNAs as ceRNAs in the progression and prognosis of uterine corpus endometrial carcinoma are...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
International Scientific Literature, Inc.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6825398/ https://www.ncbi.nlm.nih.gov/pubmed/31650984 http://dx.doi.org/10.12659/MSM.915798 |
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author | Ouyang, Dong Li, Ruyi Li, Yaxian Zhu, Xueqiong |
author_facet | Ouyang, Dong Li, Ruyi Li, Yaxian Zhu, Xueqiong |
author_sort | Ouyang, Dong |
collection | PubMed |
description | BACKGROUND: Long non-coding RNAs (lncRNAs) affect post-transcriptional regulation by interfering with microRNAs (miRNAs), and by acting as competitive endogenous RNAs (ceRNAs). The roles and mechanisms of lncRNAs as ceRNAs in the progression and prognosis of uterine corpus endometrial carcinoma are not well understood. MATERIAL/METHODS: We analyzed high-throughput transcriptome data downloaded from The Cancer Genome Atlas database for 548 patients with uterine corpus endometrial carcinoma, and the we constructed a ceRNA network. Gene Ontology enrichment and Kyoto Encyclopedia of Genes and Genomes pathway analyses of differentially expressed messenger RNAs (DE-mRNAs) were performed using R software. Kaplan-Meier survival curves were generated for all RNAs in the ceRNA network. RESULTS: We identified 2612 messenger RNAs (mRNAs), 1111 lncRNAs, and 187 miRNAs that were differentially expressed in uterine corpus endometrial carcinoma. We then identified mutual regulatory relationships between lncRNA-miRNA pairs and miRNA-mRNA pairs. A ceRNA regulatory network for uterine corpus endometrial carcinoma was successfully constructed, and consisted of 87 lncRNAs, 74 mRNAs, and 20 miRNAs. Nine lncRNAs, 3 miRNAs, and 22 mRNAs were associated with prognosis of uterine corpus endometrial carcinoma. We also analyzed the linear relationships between the expression of the 9 DE-lncRNAs and 22 DE-mRNAs with prognostic value. CONCLUSIONS: Our study showed that the lncRNAs C2orf48 and LINC00261 might be key regulators of uterine corpus endometrial carcinoma and might serve as prognostic indicators. Our study contributes to the understanding of the molecular mechanisms of uterine corpus endometrial carcinoma, and it identifies lncRNAs that might serve as prognostic markers and therapeutic targets. |
format | Online Article Text |
id | pubmed-6825398 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | International Scientific Literature, Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-68253982019-11-14 Construction of a Competitive Endogenous RNA Network in Uterine Corpus Endometrial Carcinoma Ouyang, Dong Li, Ruyi Li, Yaxian Zhu, Xueqiong Med Sci Monit Clinical Research BACKGROUND: Long non-coding RNAs (lncRNAs) affect post-transcriptional regulation by interfering with microRNAs (miRNAs), and by acting as competitive endogenous RNAs (ceRNAs). The roles and mechanisms of lncRNAs as ceRNAs in the progression and prognosis of uterine corpus endometrial carcinoma are not well understood. MATERIAL/METHODS: We analyzed high-throughput transcriptome data downloaded from The Cancer Genome Atlas database for 548 patients with uterine corpus endometrial carcinoma, and the we constructed a ceRNA network. Gene Ontology enrichment and Kyoto Encyclopedia of Genes and Genomes pathway analyses of differentially expressed messenger RNAs (DE-mRNAs) were performed using R software. Kaplan-Meier survival curves were generated for all RNAs in the ceRNA network. RESULTS: We identified 2612 messenger RNAs (mRNAs), 1111 lncRNAs, and 187 miRNAs that were differentially expressed in uterine corpus endometrial carcinoma. We then identified mutual regulatory relationships between lncRNA-miRNA pairs and miRNA-mRNA pairs. A ceRNA regulatory network for uterine corpus endometrial carcinoma was successfully constructed, and consisted of 87 lncRNAs, 74 mRNAs, and 20 miRNAs. Nine lncRNAs, 3 miRNAs, and 22 mRNAs were associated with prognosis of uterine corpus endometrial carcinoma. We also analyzed the linear relationships between the expression of the 9 DE-lncRNAs and 22 DE-mRNAs with prognostic value. CONCLUSIONS: Our study showed that the lncRNAs C2orf48 and LINC00261 might be key regulators of uterine corpus endometrial carcinoma and might serve as prognostic indicators. Our study contributes to the understanding of the molecular mechanisms of uterine corpus endometrial carcinoma, and it identifies lncRNAs that might serve as prognostic markers and therapeutic targets. International Scientific Literature, Inc. 2019-10-25 /pmc/articles/PMC6825398/ /pubmed/31650984 http://dx.doi.org/10.12659/MSM.915798 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 | Clinical Research Ouyang, Dong Li, Ruyi Li, Yaxian Zhu, Xueqiong Construction of a Competitive Endogenous RNA Network in Uterine Corpus Endometrial Carcinoma |
title | Construction of a Competitive Endogenous RNA Network in Uterine Corpus Endometrial Carcinoma |
title_full | Construction of a Competitive Endogenous RNA Network in Uterine Corpus Endometrial Carcinoma |
title_fullStr | Construction of a Competitive Endogenous RNA Network in Uterine Corpus Endometrial Carcinoma |
title_full_unstemmed | Construction of a Competitive Endogenous RNA Network in Uterine Corpus Endometrial Carcinoma |
title_short | Construction of a Competitive Endogenous RNA Network in Uterine Corpus Endometrial Carcinoma |
title_sort | construction of a competitive endogenous rna network in uterine corpus endometrial carcinoma |
topic | Clinical Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6825398/ https://www.ncbi.nlm.nih.gov/pubmed/31650984 http://dx.doi.org/10.12659/MSM.915798 |
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