Integration Analysis of m6A Regulators and m6A-Related Genes in Hepatocellular Carcinoma
BIO Integration, ISSN: 2712-0082, Vol: 2, Issue: 3, Page: 94-108
2021
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Article 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.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85137835117&origin=inward; http://dx.doi.org/10.15212/bioi-2021-0002; https://scienceopen.com/hosted-document?doi=10.15212/bioi-2021-0002; https://dx.doi.org/10.15212/bioi-2021-0002; https://www.scienceopen.com/hosted-document?doi=10.15212/bioi-2021-0002
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