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Integrated analysis of circular RNA-associated ceRNA network in cervical cancer: Observational Study
BACKGROUND: Circular RNAs (circRNAs) have displayed dysregulated expression in several types of cancer. Nevertheless, their function and underlying mechanisms in cervical cancer remains largely unknown. This study aimed to describe the regulatory mechanisms in cervical cancer. METHODS: We downloaded...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer Health
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6716739/ https://www.ncbi.nlm.nih.gov/pubmed/31441876 http://dx.doi.org/10.1097/MD.0000000000016922 |
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author | Gong, Jun Jiang, Hui Shu, Chang Hu, Mei-qin Huang, Yan Liu, Qin Li, Rong-feng Wei, Yin-zhi |
author_facet | Gong, Jun Jiang, Hui Shu, Chang Hu, Mei-qin Huang, Yan Liu, Qin Li, Rong-feng Wei, Yin-zhi |
author_sort | Gong, Jun |
collection | PubMed |
description | BACKGROUND: Circular RNAs (circRNAs) have displayed dysregulated expression in several types of cancer. Nevertheless, their function and underlying mechanisms in cervical cancer remains largely unknown. This study aimed to describe the regulatory mechanisms in cervical cancer. METHODS: We downloaded the circRNAs expression profiles from Gene Expression Omnibus database, and RNAs expression profiles from The Cancer Genome Atlas database. We established a circRNA-miRNA-mRNA and circRNA-miRNA-hubgene network. The interactions between proteins were analyzed using the STRING database and hubgenes were identified using MCODE plugin. Then, we conducted a circRNA-miRNA-hubgenes regulatory module. Functional and pathway enrichment analyses were conducted using R packages “Clusterprofile”. RESULTS: Six circRNAs, 15 miRNAs, and 158 mRNAs were identified to construct the ceRNA network of cervical cancer. PPI (protein-protein interaction) network and module analysis identified 7 hubgenes. Then, a circRNA-miRNA-hubgene subnetwork was constructed based on the 1 DEcircRNAs, 3 DEmiRNAs, and 3 DEmRNAs. The KEGG pathway analysis indicated DEmRNAs are involved in progesterone-mediated oocyte maturation, cell cycle, and oocyte meiosis. CONCLUSION: These ceRNAs are critical in the pathogenesis of cervical and may serve as future therapeutic biomarkers. |
format | Online Article Text |
id | pubmed-6716739 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Wolters Kluwer Health |
record_format | MEDLINE/PubMed |
spelling | pubmed-67167392019-10-01 Integrated analysis of circular RNA-associated ceRNA network in cervical cancer: Observational Study Gong, Jun Jiang, Hui Shu, Chang Hu, Mei-qin Huang, Yan Liu, Qin Li, Rong-feng Wei, Yin-zhi Medicine (Baltimore) 5600 BACKGROUND: Circular RNAs (circRNAs) have displayed dysregulated expression in several types of cancer. Nevertheless, their function and underlying mechanisms in cervical cancer remains largely unknown. This study aimed to describe the regulatory mechanisms in cervical cancer. METHODS: We downloaded the circRNAs expression profiles from Gene Expression Omnibus database, and RNAs expression profiles from The Cancer Genome Atlas database. We established a circRNA-miRNA-mRNA and circRNA-miRNA-hubgene network. The interactions between proteins were analyzed using the STRING database and hubgenes were identified using MCODE plugin. Then, we conducted a circRNA-miRNA-hubgenes regulatory module. Functional and pathway enrichment analyses were conducted using R packages “Clusterprofile”. RESULTS: Six circRNAs, 15 miRNAs, and 158 mRNAs were identified to construct the ceRNA network of cervical cancer. PPI (protein-protein interaction) network and module analysis identified 7 hubgenes. Then, a circRNA-miRNA-hubgene subnetwork was constructed based on the 1 DEcircRNAs, 3 DEmiRNAs, and 3 DEmRNAs. The KEGG pathway analysis indicated DEmRNAs are involved in progesterone-mediated oocyte maturation, cell cycle, and oocyte meiosis. CONCLUSION: These ceRNAs are critical in the pathogenesis of cervical and may serve as future therapeutic biomarkers. Wolters Kluwer Health 2019-08-23 /pmc/articles/PMC6716739/ /pubmed/31441876 http://dx.doi.org/10.1097/MD.0000000000016922 Text en Copyright © 2019 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by-nc-nd/4.0 This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc-nd/4.0 |
spellingShingle | 5600 Gong, Jun Jiang, Hui Shu, Chang Hu, Mei-qin Huang, Yan Liu, Qin Li, Rong-feng Wei, Yin-zhi Integrated analysis of circular RNA-associated ceRNA network in cervical cancer: Observational Study |
title | Integrated analysis of circular RNA-associated ceRNA network in cervical cancer: Observational Study |
title_full | Integrated analysis of circular RNA-associated ceRNA network in cervical cancer: Observational Study |
title_fullStr | Integrated analysis of circular RNA-associated ceRNA network in cervical cancer: Observational Study |
title_full_unstemmed | Integrated analysis of circular RNA-associated ceRNA network in cervical cancer: Observational Study |
title_short | Integrated analysis of circular RNA-associated ceRNA network in cervical cancer: Observational Study |
title_sort | integrated analysis of circular rna-associated cerna network in cervical cancer: observational study |
topic | 5600 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6716739/ https://www.ncbi.nlm.nih.gov/pubmed/31441876 http://dx.doi.org/10.1097/MD.0000000000016922 |
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