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Exploration of the Role of m(6) A RNA Methylation Regulators in Malignant Progression and Clinical Prognosis of Ovarian Cancer
Ovarian cancer is the most deadly gynecologic malignancy worldwide and it is warranted to dissect the critical gene regulatory network in ovarian cancer. N6-methyladenosine (m(6)A) RNA methylation, as the most prevalent RNA modification, is orchestrated by the m(6)A RNA methylation regulators and ha...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8209520/ https://www.ncbi.nlm.nih.gov/pubmed/34149801 http://dx.doi.org/10.3389/fgene.2021.650554 |
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author | Wei, Qinglv Yang, Dan Liu, Xiaoyi Zhao, Hongyan Yang, Yu Xu, Jing Liu, Tao Yi, Ping |
author_facet | Wei, Qinglv Yang, Dan Liu, Xiaoyi Zhao, Hongyan Yang, Yu Xu, Jing Liu, Tao Yi, Ping |
author_sort | Wei, Qinglv |
collection | PubMed |
description | Ovarian cancer is the most deadly gynecologic malignancy worldwide and it is warranted to dissect the critical gene regulatory network in ovarian cancer. N6-methyladenosine (m(6)A) RNA methylation, as the most prevalent RNA modification, is orchestrated by the m(6)A RNA methylation regulators and has been implicated in malignant progression of various cancers. In this study, we investigated the genetic landscape and expression profile of the m(6)A RNA methylation regulators in ovarian cancer and found that several m(6)A RNA methylation regulators were frequently amplified and up-regulated in ovarian cancer. Utilizing consensus cluster analysis, we stratified ovarian cancer samples into four clusters with distinct m(6)A methylation patterns and patients in these subgroups displayed the different clinical outcomes. Moreover, multivariate Cox proportional hazard model was used to screen the key m(6)A regulators associated with the prognosis of ovarian cancer and the last absolute shrinkage and selection operator (LASSO) Cox regression was used to construct the gene signature for prognosis prediction. The survival analysis exhibited the risk-gene signature could be used as independent prognostic markers for ovarian cancer. In conclusion, m(6)A RNA methylation regulators are associated with the malignant progression of ovarian cancer and could be a potential in prognostic prediction for ovarian cancer. |
format | Online Article Text |
id | pubmed-8209520 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-82095202021-06-18 Exploration of the Role of m(6) A RNA Methylation Regulators in Malignant Progression and Clinical Prognosis of Ovarian Cancer Wei, Qinglv Yang, Dan Liu, Xiaoyi Zhao, Hongyan Yang, Yu Xu, Jing Liu, Tao Yi, Ping Front Genet Genetics Ovarian cancer is the most deadly gynecologic malignancy worldwide and it is warranted to dissect the critical gene regulatory network in ovarian cancer. N6-methyladenosine (m(6)A) RNA methylation, as the most prevalent RNA modification, is orchestrated by the m(6)A RNA methylation regulators and has been implicated in malignant progression of various cancers. In this study, we investigated the genetic landscape and expression profile of the m(6)A RNA methylation regulators in ovarian cancer and found that several m(6)A RNA methylation regulators were frequently amplified and up-regulated in ovarian cancer. Utilizing consensus cluster analysis, we stratified ovarian cancer samples into four clusters with distinct m(6)A methylation patterns and patients in these subgroups displayed the different clinical outcomes. Moreover, multivariate Cox proportional hazard model was used to screen the key m(6)A regulators associated with the prognosis of ovarian cancer and the last absolute shrinkage and selection operator (LASSO) Cox regression was used to construct the gene signature for prognosis prediction. The survival analysis exhibited the risk-gene signature could be used as independent prognostic markers for ovarian cancer. In conclusion, m(6)A RNA methylation regulators are associated with the malignant progression of ovarian cancer and could be a potential in prognostic prediction for ovarian cancer. Frontiers Media S.A. 2021-06-03 /pmc/articles/PMC8209520/ /pubmed/34149801 http://dx.doi.org/10.3389/fgene.2021.650554 Text en Copyright © 2021 Wei, Yang, Liu, Zhao, Yang, Xu, Liu and Yi. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Genetics Wei, Qinglv Yang, Dan Liu, Xiaoyi Zhao, Hongyan Yang, Yu Xu, Jing Liu, Tao Yi, Ping Exploration of the Role of m(6) A RNA Methylation Regulators in Malignant Progression and Clinical Prognosis of Ovarian Cancer |
title | Exploration of the Role of m(6) A RNA Methylation Regulators in Malignant Progression and Clinical Prognosis of Ovarian Cancer |
title_full | Exploration of the Role of m(6) A RNA Methylation Regulators in Malignant Progression and Clinical Prognosis of Ovarian Cancer |
title_fullStr | Exploration of the Role of m(6) A RNA Methylation Regulators in Malignant Progression and Clinical Prognosis of Ovarian Cancer |
title_full_unstemmed | Exploration of the Role of m(6) A RNA Methylation Regulators in Malignant Progression and Clinical Prognosis of Ovarian Cancer |
title_short | Exploration of the Role of m(6) A RNA Methylation Regulators in Malignant Progression and Clinical Prognosis of Ovarian Cancer |
title_sort | exploration of the role of m(6) a rna methylation regulators in malignant progression and clinical prognosis of ovarian cancer |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8209520/ https://www.ncbi.nlm.nih.gov/pubmed/34149801 http://dx.doi.org/10.3389/fgene.2021.650554 |
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