Integration Analysis of m6A Regulators and m6A-Related Genes in Hepatocellular Carcinoma

Background: N6-Methyladenosine (m6A) RNA methylation of eukaryotic mRNA is involved in the progression of various tumors. We aimed to investigate m6A-related genes and m6A regulators in hepatocellular carcinoma (HCC) and their association with prognosis in HCC. Methods: We downloaded liver cancer sa...

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Autores principales:	Jingdun Xie, Zhenhua Qi, Xiaolin Luo, Fang Yan, Wei Xing, Weian Zeng, Dongtai Chen, Qiang Li
Formato:	article
Lenguaje:	EN
Publicado:	Compuscript Ltd 2021
Materias:	hepatocellular carcinoma m6a-related genes m6a regulators prognosis Medicine R
Acceso en línea:	https://doaj.org/article/67463e53313e4bfbb55fab9c76f2d171
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spelling	oai:doaj.org-article:67463e53313e4bfbb55fab9c76f2d1712021-11-09T08:31:07ZIntegration Analysis of m6A Regulators and m6A-Related Genes in Hepatocellular Carcinoma2712-008210.15212/bioi-2021-0002https://doaj.org/article/67463e53313e4bfbb55fab9c76f2d1712021-11-01T00:00:00Zhttps://www.ingentaconnect.com/contentone/cscript/bioi/2021/00000002/00000003/art00002https://doaj.org/toc/2712-0082Background: N6-Methyladenosine (m6A) RNA methylation of eukaryotic mRNA is involved in the progression of various tumors. We aimed to investigate m6A-related genes and m6A regulators in hepatocellular carcinoma (HCC) and their association with prognosis in HCC. Methods: We downloaded liver cancer sample data from The Cancer Genome Atlas (TCGA) and the International Cancer Genome Consortium database. A total of 21 m6A regulators and 1258 m6A-related genes were then analyzed by consensus clustering, Spearman’s correlation, GO, KEGG, LASSO Cox regression, and univariate Cox regression analyses. Finally, we constructed a risk prognostic model. Results: We obtained 192 candidate m6A-related genes and 3 m6A regulators, including YTHDF1, YTHDF2, and YTHDC1. The expression of these genes and regulators differed significantly in different stages of HCC. Based on Cox regression analysis, 19 of 98 m6A-related prognostic genes were obtained to construct a risk score model. The 1- and 3-year area under the curves (AUCs) among HCC patients were greater than 0.7. Finally, based on analysis of mutation differences between high- and low-risk score groups, we determined that TP53 had the highest mutation frequency in the high-risk HCC patient group, whereas titin (TTN) had the highest mutation frequency in the low-risk HCC patient group. Conclusion: This study comprehensively analyzed m6A regulators and m6A-related genes through an integrated bioinformatic analysis, including expression, clustering, protein–protein interaction, and prognosis, thus providing novel insights into the roles of m6A regulators and m6A-related genes in HCC.Jingdun XieZhenhua QiXiaolin LuoFang YanWei XingWeian ZengDongtai ChenQiang LiCompuscript Ltdarticlehepatocellular carcinomam6a-related genesm6a regulatorsprognosisMedicineRENBIO Integration, Vol 2, Iss 3, Pp 94-108 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	hepatocellular carcinoma m6a-related genes m6a regulators prognosis Medicine R
spellingShingle	hepatocellular carcinoma m6a-related genes m6a regulators prognosis Medicine R Jingdun Xie Zhenhua Qi Xiaolin Luo Fang Yan Wei Xing Weian Zeng Dongtai Chen Qiang Li Integration Analysis of m6A Regulators and m6A-Related Genes in Hepatocellular Carcinoma
description	Background: N6-Methyladenosine (m6A) RNA methylation of eukaryotic mRNA is involved in the progression of various tumors. We aimed to investigate m6A-related genes and m6A regulators in hepatocellular carcinoma (HCC) and their association with prognosis in HCC. Methods: We downloaded liver cancer sample data from The Cancer Genome Atlas (TCGA) and the International Cancer Genome Consortium database. A total of 21 m6A regulators and 1258 m6A-related genes were then analyzed by consensus clustering, Spearman’s correlation, GO, KEGG, LASSO Cox regression, and univariate Cox regression analyses. Finally, we constructed a risk prognostic model. Results: We obtained 192 candidate m6A-related genes and 3 m6A regulators, including YTHDF1, YTHDF2, and YTHDC1. The expression of these genes and regulators differed significantly in different stages of HCC. Based on Cox regression analysis, 19 of 98 m6A-related prognostic genes were obtained to construct a risk score model. The 1- and 3-year area under the curves (AUCs) among HCC patients were greater than 0.7. Finally, based on analysis of mutation differences between high- and low-risk score groups, we determined that TP53 had the highest mutation frequency in the high-risk HCC patient group, whereas titin (TTN) had the highest mutation frequency in the low-risk HCC patient group. Conclusion: This study comprehensively analyzed m6A regulators and m6A-related genes through an integrated bioinformatic analysis, including expression, clustering, protein–protein interaction, and prognosis, thus providing novel insights into the roles of m6A regulators and m6A-related genes in HCC.
format	article
author	Jingdun Xie Zhenhua Qi Xiaolin Luo Fang Yan Wei Xing Weian Zeng Dongtai Chen Qiang Li
author_facet	Jingdun Xie Zhenhua Qi Xiaolin Luo Fang Yan Wei Xing Weian Zeng Dongtai Chen Qiang Li
author_sort	Jingdun Xie
title	Integration Analysis of m6A Regulators and m6A-Related Genes in Hepatocellular Carcinoma
title_short	Integration Analysis of m6A Regulators and m6A-Related Genes in Hepatocellular Carcinoma
title_full	Integration Analysis of m6A Regulators and m6A-Related Genes in Hepatocellular Carcinoma
title_fullStr	Integration Analysis of m6A Regulators and m6A-Related Genes in Hepatocellular Carcinoma
title_full_unstemmed	Integration Analysis of m6A Regulators and m6A-Related Genes in Hepatocellular Carcinoma
title_sort	integration analysis of m6a regulators and m6a-related genes in hepatocellular carcinoma
publisher	Compuscript Ltd
publishDate	2021
url	https://doaj.org/article/67463e53313e4bfbb55fab9c76f2d171
work_keys_str_mv	AT jingdunxie integrationanalysisofm6aregulatorsandm6arelatedgenesinhepatocellularcarcinoma AT zhenhuaqi integrationanalysisofm6aregulatorsandm6arelatedgenesinhepatocellularcarcinoma AT xiaolinluo integrationanalysisofm6aregulatorsandm6arelatedgenesinhepatocellularcarcinoma AT fangyan integrationanalysisofm6aregulatorsandm6arelatedgenesinhepatocellularcarcinoma AT weixing integrationanalysisofm6aregulatorsandm6arelatedgenesinhepatocellularcarcinoma AT weianzeng integrationanalysisofm6aregulatorsandm6arelatedgenesinhepatocellularcarcinoma AT dongtaichen integrationanalysisofm6aregulatorsandm6arelatedgenesinhepatocellularcarcinoma AT qiangli integrationanalysisofm6aregulatorsandm6arelatedgenesinhepatocellularcarcinoma
_version_	1718441203988430848

Integration Analysis of m6A Regulators and m6A-Related Genes in Hepatocellular Carcinoma

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