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A newly defined risk signature, consisting of three m(6)A RNA methylation regulators, predicts the prognosis of ovarian cancer

N6-methyladenosine (m(6)A) RNA methylation, involved in cancer initiation and progression, is dynamically regulated by the m(6)A RNA methylation regulators. However, the expression of m(6)A RNA methylation regulators in ovarian cancer and their correlation with prognosis remain elusive. Here, we dem...

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Autores principales: Fan, Lili, Lin, Ying, Lei, Han, Shu, Guang, He, Liuer, Yan, Zhipeng, Rihan, Hai, Yin, Gang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7585096/
https://www.ncbi.nlm.nih.gov/pubmed/32950970
http://dx.doi.org/10.18632/aging.103811
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author Fan, Lili
Lin, Ying
Lei, Han
Shu, Guang
He, Liuer
Yan, Zhipeng
Rihan, Hai
Yin, Gang
author_facet Fan, Lili
Lin, Ying
Lei, Han
Shu, Guang
He, Liuer
Yan, Zhipeng
Rihan, Hai
Yin, Gang
author_sort Fan, Lili
collection PubMed
description N6-methyladenosine (m(6)A) RNA methylation, involved in cancer initiation and progression, is dynamically regulated by the m(6)A RNA methylation regulators. However, the expression of m(6)A RNA methylation regulators in ovarian cancer and their correlation with prognosis remain elusive. Here, we demonstrated that the 18 central m(6)A RNA methylation regulators were expressed differently between ovarian cancer (OC) and normal tissues. By applying consensus clustering, all ovarian cancer patient cases can be divided into three subgroups (cluster1/2/3) based on overall expression levels of all 18 m(6)A RNA methylation regulators. We systematically analyzed the prognostic value of transcription levels of 18 m(6)A RNA methylation regulators in ovarian cancer and found that insulin-like growth factor 2 mRNA binding protein 1 (IGF2BP1), vir like m(6)A methyltransferase associated (VIRMA), and zinc finger CCCH-type containing 13 (ZC3H13) yield the highest scores for predicting the prognosis of ovarian cancer. Accordingly, we derived a risk signature consisting of transcription levels of these three selected m(6)A RNA methylation regulators as an independent prognostic marker for OC and validated our findings with data derived from a different ovarian cancer cohort. Moreover, by the Gene Set Enrichment Analysis (GSEA), we demonstrated that the three selected regulators were all correlated with pathways in cancer and WNT signaling pathways. In conclusion, m(6)A RNA methylation regulators are vital participants in ovarian cancer pathology; and IGF2BP1, VIRMA, and ZC3H13 mRNA levels are valuable factors for prognosis prediction and treatment strategy development.
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spelling pubmed-75850962020-11-03 A newly defined risk signature, consisting of three m(6)A RNA methylation regulators, predicts the prognosis of ovarian cancer Fan, Lili Lin, Ying Lei, Han Shu, Guang He, Liuer Yan, Zhipeng Rihan, Hai Yin, Gang Aging (Albany NY) Research Paper N6-methyladenosine (m(6)A) RNA methylation, involved in cancer initiation and progression, is dynamically regulated by the m(6)A RNA methylation regulators. However, the expression of m(6)A RNA methylation regulators in ovarian cancer and their correlation with prognosis remain elusive. Here, we demonstrated that the 18 central m(6)A RNA methylation regulators were expressed differently between ovarian cancer (OC) and normal tissues. By applying consensus clustering, all ovarian cancer patient cases can be divided into three subgroups (cluster1/2/3) based on overall expression levels of all 18 m(6)A RNA methylation regulators. We systematically analyzed the prognostic value of transcription levels of 18 m(6)A RNA methylation regulators in ovarian cancer and found that insulin-like growth factor 2 mRNA binding protein 1 (IGF2BP1), vir like m(6)A methyltransferase associated (VIRMA), and zinc finger CCCH-type containing 13 (ZC3H13) yield the highest scores for predicting the prognosis of ovarian cancer. Accordingly, we derived a risk signature consisting of transcription levels of these three selected m(6)A RNA methylation regulators as an independent prognostic marker for OC and validated our findings with data derived from a different ovarian cancer cohort. Moreover, by the Gene Set Enrichment Analysis (GSEA), we demonstrated that the three selected regulators were all correlated with pathways in cancer and WNT signaling pathways. In conclusion, m(6)A RNA methylation regulators are vital participants in ovarian cancer pathology; and IGF2BP1, VIRMA, and ZC3H13 mRNA levels are valuable factors for prognosis prediction and treatment strategy development. Impact Journals 2020-09-20 /pmc/articles/PMC7585096/ /pubmed/32950970 http://dx.doi.org/10.18632/aging.103811 Text en Copyright: © 2020 Fan et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/3.0/) (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Fan, Lili
Lin, Ying
Lei, Han
Shu, Guang
He, Liuer
Yan, Zhipeng
Rihan, Hai
Yin, Gang
A newly defined risk signature, consisting of three m(6)A RNA methylation regulators, predicts the prognosis of ovarian cancer
title A newly defined risk signature, consisting of three m(6)A RNA methylation regulators, predicts the prognosis of ovarian cancer
title_full A newly defined risk signature, consisting of three m(6)A RNA methylation regulators, predicts the prognosis of ovarian cancer
title_fullStr A newly defined risk signature, consisting of three m(6)A RNA methylation regulators, predicts the prognosis of ovarian cancer
title_full_unstemmed A newly defined risk signature, consisting of three m(6)A RNA methylation regulators, predicts the prognosis of ovarian cancer
title_short A newly defined risk signature, consisting of three m(6)A RNA methylation regulators, predicts the prognosis of ovarian cancer
title_sort newly defined risk signature, consisting of three m(6)a rna methylation regulators, predicts the prognosis of ovarian cancer
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7585096/
https://www.ncbi.nlm.nih.gov/pubmed/32950970
http://dx.doi.org/10.18632/aging.103811
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