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A novel m6A‐related prognostic signature for predicting the overall survival of hepatocellular carcinoma patients

Liver hepatocellular carcinoma (LIHC) comprises most cases of liver cancer with a poor prognosis. N (6)‐methyladenosine (m6A) plays important biological functions in cancers. Thus, the present research was aimed to determine biomarkers of m6A regulators that could effectively predict the prognosis o...

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Autores principales: Xie, Shiyang, Wang, Yaxuan, Huang, Jin, Li, Guang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8849219/
https://www.ncbi.nlm.nih.gov/pubmed/34647424
http://dx.doi.org/10.1049/syb2.12036
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author Xie, Shiyang
Wang, Yaxuan
Huang, Jin
Li, Guang
author_facet Xie, Shiyang
Wang, Yaxuan
Huang, Jin
Li, Guang
author_sort Xie, Shiyang
collection PubMed
description Liver hepatocellular carcinoma (LIHC) comprises most cases of liver cancer with a poor prognosis. N (6)‐methyladenosine (m6A) plays important biological functions in cancers. Thus, the present research was aimed to determine biomarkers of m6A regulators that could effectively predict the prognosis of LIHC patients. Based on the data collected from the Cancer Genome Atlas (TCGA) database, the correlation between the mRNA expression levels and copy number variation (CNV) patterns were determined. Higher mRNA expression resulted from the increasing number of 9 genes. Using the univariate Cox regression analysis, 11 m6A regulators that had close correlations with the LIHC prognosis were identified. In addition, under the support of the multivariate Cox regression models and the least absolute shrinkage and selection operator, a 4‐gene (YTHDF2, IGF2BP3, KIAA1429, and ALKBH5) signature of m6A regulators was constructed. This signature was expected to present a prognostic value in LIHC (log‐rank test p value < 0.0001). The GSE76427 (n = 94) and ICGC‐LIRI‐JP (n = 212) datasets were used to validate the prognostic signature, suggesting strong power to predict patients' prognosis for LIHC. To sum up, genetic alterations in m6A regulatory genes were identified as reliable and effective biomarkers for predicting the prognosis of LIHC patients.
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spelling pubmed-88492192022-02-17 A novel m6A‐related prognostic signature for predicting the overall survival of hepatocellular carcinoma patients Xie, Shiyang Wang, Yaxuan Huang, Jin Li, Guang IET Syst Biol Original Research Papers Liver hepatocellular carcinoma (LIHC) comprises most cases of liver cancer with a poor prognosis. N (6)‐methyladenosine (m6A) plays important biological functions in cancers. Thus, the present research was aimed to determine biomarkers of m6A regulators that could effectively predict the prognosis of LIHC patients. Based on the data collected from the Cancer Genome Atlas (TCGA) database, the correlation between the mRNA expression levels and copy number variation (CNV) patterns were determined. Higher mRNA expression resulted from the increasing number of 9 genes. Using the univariate Cox regression analysis, 11 m6A regulators that had close correlations with the LIHC prognosis were identified. In addition, under the support of the multivariate Cox regression models and the least absolute shrinkage and selection operator, a 4‐gene (YTHDF2, IGF2BP3, KIAA1429, and ALKBH5) signature of m6A regulators was constructed. This signature was expected to present a prognostic value in LIHC (log‐rank test p value < 0.0001). The GSE76427 (n = 94) and ICGC‐LIRI‐JP (n = 212) datasets were used to validate the prognostic signature, suggesting strong power to predict patients' prognosis for LIHC. To sum up, genetic alterations in m6A regulatory genes were identified as reliable and effective biomarkers for predicting the prognosis of LIHC patients. John Wiley and Sons Inc. 2021-10-14 /pmc/articles/PMC8849219/ /pubmed/34647424 http://dx.doi.org/10.1049/syb2.12036 Text en © 2021 The Authors. IET Systems Biology published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Research Papers
Xie, Shiyang
Wang, Yaxuan
Huang, Jin
Li, Guang
A novel m6A‐related prognostic signature for predicting the overall survival of hepatocellular carcinoma patients
title A novel m6A‐related prognostic signature for predicting the overall survival of hepatocellular carcinoma patients
title_full A novel m6A‐related prognostic signature for predicting the overall survival of hepatocellular carcinoma patients
title_fullStr A novel m6A‐related prognostic signature for predicting the overall survival of hepatocellular carcinoma patients
title_full_unstemmed A novel m6A‐related prognostic signature for predicting the overall survival of hepatocellular carcinoma patients
title_short A novel m6A‐related prognostic signature for predicting the overall survival of hepatocellular carcinoma patients
title_sort novel m6a‐related prognostic signature for predicting the overall survival of hepatocellular carcinoma patients
topic Original Research Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8849219/
https://www.ncbi.nlm.nih.gov/pubmed/34647424
http://dx.doi.org/10.1049/syb2.12036
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