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The Cancer Genome Atlas (TCGA) based m(6)A methylation-related genes predict prognosis in hepatocellular carcinoma
The current study aims to investigate the significance of N(6)-methyladenosine (m(6)A) methylation-related genes in the clinical prognosis of hepatocellular carcinoma (HCC) using bioinformatics analyses based on The Cancer Genome Atlas (TCGA) database. Transcriptome data and corresponding clinical d...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8291839/ https://www.ncbi.nlm.nih.gov/pubmed/32631107 http://dx.doi.org/10.1080/21655979.2020.1787764 |
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author | Liu, Jun Sun, Guili Pan, Shangling Qin, Mengbin Ouyang, Rong Li, Zhongzhuan Huang, Jiean |
author_facet | Liu, Jun Sun, Guili Pan, Shangling Qin, Mengbin Ouyang, Rong Li, Zhongzhuan Huang, Jiean |
author_sort | Liu, Jun |
collection | PubMed |
description | The current study aims to investigate the significance of N(6)-methyladenosine (m(6)A) methylation-related genes in the clinical prognosis of hepatocellular carcinoma (HCC) using bioinformatics analyses based on The Cancer Genome Atlas (TCGA) database. Transcriptome data and corresponding clinical data on m(6)A methylation-related genes (including 15 genes) were obtained from TCGA database. Differential expression of 15 genes was identified. Survival curves of subgroups based on m(6)A methylation-related gene expression levels were plotted. We selected potential predictive genes and analyzed their prognostic values using bioinformatics methods. Eleven genes (METTL3, YTHDF1, YTHDF2, YTHDF3, YTHDC1, YTHDC2, FTO, KIAA1429, HNRNPC, HNRNPA2B1, and RBM15) were found to be overexpressed in HCC. Of these, five genes had worse survival (P < 0.05). There was a significant difference in the survival rate between subgroups with different expression levels of m(6)A. We selected five potential predictors (METTL3, KIAA1429, ZC3H13, YTHDF1, and YTHDF2) that met the independent predictive value. ZC3H13 was upregulated in patients with high cancer risk, whereas METTL3, KIAA1429, YTHDF1, and YTHDF2 were downregulated. In summary, we found that the expression levels of m(6)A methylation-related genes were different in patients with HCC and correlated with survival and prognosis. This implies that m(6)A methylation-related genes may be promising prognostic indicators or therapeutic targets for HCC. |
format | Online Article Text |
id | pubmed-8291839 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
spelling | pubmed-82918392021-08-03 The Cancer Genome Atlas (TCGA) based m(6)A methylation-related genes predict prognosis in hepatocellular carcinoma Liu, Jun Sun, Guili Pan, Shangling Qin, Mengbin Ouyang, Rong Li, Zhongzhuan Huang, Jiean Bioengineered Research Paper The current study aims to investigate the significance of N(6)-methyladenosine (m(6)A) methylation-related genes in the clinical prognosis of hepatocellular carcinoma (HCC) using bioinformatics analyses based on The Cancer Genome Atlas (TCGA) database. Transcriptome data and corresponding clinical data on m(6)A methylation-related genes (including 15 genes) were obtained from TCGA database. Differential expression of 15 genes was identified. Survival curves of subgroups based on m(6)A methylation-related gene expression levels were plotted. We selected potential predictive genes and analyzed their prognostic values using bioinformatics methods. Eleven genes (METTL3, YTHDF1, YTHDF2, YTHDF3, YTHDC1, YTHDC2, FTO, KIAA1429, HNRNPC, HNRNPA2B1, and RBM15) were found to be overexpressed in HCC. Of these, five genes had worse survival (P < 0.05). There was a significant difference in the survival rate between subgroups with different expression levels of m(6)A. We selected five potential predictors (METTL3, KIAA1429, ZC3H13, YTHDF1, and YTHDF2) that met the independent predictive value. ZC3H13 was upregulated in patients with high cancer risk, whereas METTL3, KIAA1429, YTHDF1, and YTHDF2 were downregulated. In summary, we found that the expression levels of m(6)A methylation-related genes were different in patients with HCC and correlated with survival and prognosis. This implies that m(6)A methylation-related genes may be promising prognostic indicators or therapeutic targets for HCC. Taylor & Francis 2020-07-07 /pmc/articles/PMC8291839/ /pubmed/32631107 http://dx.doi.org/10.1080/21655979.2020.1787764 Text en © 2020 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Paper Liu, Jun Sun, Guili Pan, Shangling Qin, Mengbin Ouyang, Rong Li, Zhongzhuan Huang, Jiean The Cancer Genome Atlas (TCGA) based m(6)A methylation-related genes predict prognosis in hepatocellular carcinoma |
title | The Cancer Genome Atlas (TCGA) based m(6)A methylation-related genes predict prognosis in hepatocellular carcinoma |
title_full | The Cancer Genome Atlas (TCGA) based m(6)A methylation-related genes predict prognosis in hepatocellular carcinoma |
title_fullStr | The Cancer Genome Atlas (TCGA) based m(6)A methylation-related genes predict prognosis in hepatocellular carcinoma |
title_full_unstemmed | The Cancer Genome Atlas (TCGA) based m(6)A methylation-related genes predict prognosis in hepatocellular carcinoma |
title_short | The Cancer Genome Atlas (TCGA) based m(6)A methylation-related genes predict prognosis in hepatocellular carcinoma |
title_sort | cancer genome atlas (tcga) based m(6)a methylation-related genes predict prognosis in hepatocellular carcinoma |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8291839/ https://www.ncbi.nlm.nih.gov/pubmed/32631107 http://dx.doi.org/10.1080/21655979.2020.1787764 |
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