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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
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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. |
format | Online Article Text |
id | pubmed-8849219 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
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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