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Profiles of m(6)A RNA methylation regulators for the prognosis of hepatocellular carcinoma

N6-methyladenosine (m(6)A) RNA methylation, which is related to cancer initiation and progression, is dynamically regulated by the m(6)A RNA methylation regulators (including ‘writers’, ‘erasers’ and ‘readers’). However, the prognostic value of m(6)A RNA methylation regulators involved in hepatocell...

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Autores principales: Li, Wang, Chen, Qi-Feng, Huang, Tao, Shen, Lujun, Huang, Zi-Lin, Wu, Peihong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7074306/
https://www.ncbi.nlm.nih.gov/pubmed/32256825
http://dx.doi.org/10.3892/ol.2020.11435
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author Li, Wang
Chen, Qi-Feng
Huang, Tao
Shen, Lujun
Huang, Zi-Lin
Wu, Peihong
author_facet Li, Wang
Chen, Qi-Feng
Huang, Tao
Shen, Lujun
Huang, Zi-Lin
Wu, Peihong
author_sort Li, Wang
collection PubMed
description N6-methyladenosine (m(6)A) RNA methylation, which is related to cancer initiation and progression, is dynamically regulated by the m(6)A RNA methylation regulators (including ‘writers’, ‘erasers’ and ‘readers’). However, the prognostic value of m(6)A RNA methylation regulators involved in hepatocellular carcinoma (HCC) carcinogenesis and progression remains to be elucidated. The aim of the present study was to determine the prognostic score in predicting the prognosis of HCC patients based on these regulators. In The Cancer Genome Atlas, most of the 13 major m(6)A RNA methylation regulators were found to be differentially expressed between HCC and normal samples (P<0.001). In addition, two subgroups (clusters 1/2) had also been identified by applying consensus clustering in the m(6)A RNA methylation regulators. As compared with the cluster 1 subgroup, the cluster 2 subgroup was correlated with a poorer prognosis, as shown by the Kaplan-Meier method (P=6.197e-4). A risk signature was constructed based on these findings using six m(6)A RNA methylation regulators, which could not only predict the clinicopathological features of HCCs, but also serve as an independent prognostic marker, as shown by Cox regression analysis (hazard ratio=1.219, 95% confidence interval: 1.143–1.299; P<0.001). Data from the International Cancer Genome Consortium were used for external validation. In addition, gene set enrichment analysis identified several pathways that m(6)A RNA methylation regulators were closely associated with. In conclusion, the m(6)A RNA methylation regulators are the crucial participants in the malignant progression of HCCs, which are potentially useful for prognosis stratification and therapeutic strategy development for HCC.
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spelling pubmed-70743062020-03-31 Profiles of m(6)A RNA methylation regulators for the prognosis of hepatocellular carcinoma Li, Wang Chen, Qi-Feng Huang, Tao Shen, Lujun Huang, Zi-Lin Wu, Peihong Oncol Lett Articles N6-methyladenosine (m(6)A) RNA methylation, which is related to cancer initiation and progression, is dynamically regulated by the m(6)A RNA methylation regulators (including ‘writers’, ‘erasers’ and ‘readers’). However, the prognostic value of m(6)A RNA methylation regulators involved in hepatocellular carcinoma (HCC) carcinogenesis and progression remains to be elucidated. The aim of the present study was to determine the prognostic score in predicting the prognosis of HCC patients based on these regulators. In The Cancer Genome Atlas, most of the 13 major m(6)A RNA methylation regulators were found to be differentially expressed between HCC and normal samples (P<0.001). In addition, two subgroups (clusters 1/2) had also been identified by applying consensus clustering in the m(6)A RNA methylation regulators. As compared with the cluster 1 subgroup, the cluster 2 subgroup was correlated with a poorer prognosis, as shown by the Kaplan-Meier method (P=6.197e-4). A risk signature was constructed based on these findings using six m(6)A RNA methylation regulators, which could not only predict the clinicopathological features of HCCs, but also serve as an independent prognostic marker, as shown by Cox regression analysis (hazard ratio=1.219, 95% confidence interval: 1.143–1.299; P<0.001). Data from the International Cancer Genome Consortium were used for external validation. In addition, gene set enrichment analysis identified several pathways that m(6)A RNA methylation regulators were closely associated with. In conclusion, the m(6)A RNA methylation regulators are the crucial participants in the malignant progression of HCCs, which are potentially useful for prognosis stratification and therapeutic strategy development for HCC. D.A. Spandidos 2020-04 2020-03-03 /pmc/articles/PMC7074306/ /pubmed/32256825 http://dx.doi.org/10.3892/ol.2020.11435 Text en Copyright: © Li et al. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
spellingShingle Articles
Li, Wang
Chen, Qi-Feng
Huang, Tao
Shen, Lujun
Huang, Zi-Lin
Wu, Peihong
Profiles of m(6)A RNA methylation regulators for the prognosis of hepatocellular carcinoma
title Profiles of m(6)A RNA methylation regulators for the prognosis of hepatocellular carcinoma
title_full Profiles of m(6)A RNA methylation regulators for the prognosis of hepatocellular carcinoma
title_fullStr Profiles of m(6)A RNA methylation regulators for the prognosis of hepatocellular carcinoma
title_full_unstemmed Profiles of m(6)A RNA methylation regulators for the prognosis of hepatocellular carcinoma
title_short Profiles of m(6)A RNA methylation regulators for the prognosis of hepatocellular carcinoma
title_sort profiles of m(6)a rna methylation regulators for the prognosis of hepatocellular carcinoma
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7074306/
https://www.ncbi.nlm.nih.gov/pubmed/32256825
http://dx.doi.org/10.3892/ol.2020.11435
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