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Identification and verification of a novel epigenetic-related gene signature for predicting the prognosis of hepatocellular carcinoma
Hepatocellular carcinoma (HCC) is a common malignant tumor with a poor prognosis. Epigenetic dysregulation is now considered to be related to hepatocarcinogenesis. However, it is unclear how epigenetic-related genes (ERGs) contribute to the prognosis of HCC. In this study, we used the TCGA database...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9748485/ https://www.ncbi.nlm.nih.gov/pubmed/36531219 http://dx.doi.org/10.3389/fgene.2022.897123 |
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author | Wang, Chenchen Yao, Chengye Sun, Yan Chen, Jiayi Ge, Yangyang Wang, Yu Wang, Fuquan Wang, Li Lin, Yun Yao, Shanglong |
author_facet | Wang, Chenchen Yao, Chengye Sun, Yan Chen, Jiayi Ge, Yangyang Wang, Yu Wang, Fuquan Wang, Li Lin, Yun Yao, Shanglong |
author_sort | Wang, Chenchen |
collection | PubMed |
description | Hepatocellular carcinoma (HCC) is a common malignant tumor with a poor prognosis. Epigenetic dysregulation is now considered to be related to hepatocarcinogenesis. However, it is unclear how epigenetic-related genes (ERGs) contribute to the prognosis of HCC. In this study, we used the TCGA database to identify prognostic ERGs that were differentially expressed in HCC patients. Then, using least absolute shrinkage and selection operator (LASSO) regression analysis, a six-gene signature was constructed, and patients were divided into high- and low-risk groups. Validation was performed on HCC patients from the ICGC database. Patients in the high-risk group had a significantly lower chance of survival than those in the low-risk group (p < 0.001 in both databases). The predictive ability of the signature was determined by the receiver operating characteristic (ROC) curve. The risk score was then shown to be an independent prognostic factor for the overall survival (OS) of HCC patients based on the results of univariate and multivariate analyses. We also created a practical nomogram combining the prognostic model with other clinical features. Moreover, functional enrichment analysis revealed that these genes are linked to tumor immunity. In conclusion, our findings showed that a novel six-gene signature related to epigenetics can accurately predict the occurrence and prognosis of HCC. |
format | Online Article Text |
id | pubmed-9748485 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-97484852022-12-15 Identification and verification of a novel epigenetic-related gene signature for predicting the prognosis of hepatocellular carcinoma Wang, Chenchen Yao, Chengye Sun, Yan Chen, Jiayi Ge, Yangyang Wang, Yu Wang, Fuquan Wang, Li Lin, Yun Yao, Shanglong Front Genet Genetics Hepatocellular carcinoma (HCC) is a common malignant tumor with a poor prognosis. Epigenetic dysregulation is now considered to be related to hepatocarcinogenesis. However, it is unclear how epigenetic-related genes (ERGs) contribute to the prognosis of HCC. In this study, we used the TCGA database to identify prognostic ERGs that were differentially expressed in HCC patients. Then, using least absolute shrinkage and selection operator (LASSO) regression analysis, a six-gene signature was constructed, and patients were divided into high- and low-risk groups. Validation was performed on HCC patients from the ICGC database. Patients in the high-risk group had a significantly lower chance of survival than those in the low-risk group (p < 0.001 in both databases). The predictive ability of the signature was determined by the receiver operating characteristic (ROC) curve. The risk score was then shown to be an independent prognostic factor for the overall survival (OS) of HCC patients based on the results of univariate and multivariate analyses. We also created a practical nomogram combining the prognostic model with other clinical features. Moreover, functional enrichment analysis revealed that these genes are linked to tumor immunity. In conclusion, our findings showed that a novel six-gene signature related to epigenetics can accurately predict the occurrence and prognosis of HCC. Frontiers Media S.A. 2022-11-30 /pmc/articles/PMC9748485/ /pubmed/36531219 http://dx.doi.org/10.3389/fgene.2022.897123 Text en Copyright © 2022 Wang, Yao, Sun, Chen, Ge, Wang, Wang, Wang, Lin and Yao. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Genetics Wang, Chenchen Yao, Chengye Sun, Yan Chen, Jiayi Ge, Yangyang Wang, Yu Wang, Fuquan Wang, Li Lin, Yun Yao, Shanglong Identification and verification of a novel epigenetic-related gene signature for predicting the prognosis of hepatocellular carcinoma |
title | Identification and verification of a novel epigenetic-related gene signature for predicting the prognosis of hepatocellular carcinoma |
title_full | Identification and verification of a novel epigenetic-related gene signature for predicting the prognosis of hepatocellular carcinoma |
title_fullStr | Identification and verification of a novel epigenetic-related gene signature for predicting the prognosis of hepatocellular carcinoma |
title_full_unstemmed | Identification and verification of a novel epigenetic-related gene signature for predicting the prognosis of hepatocellular carcinoma |
title_short | Identification and verification of a novel epigenetic-related gene signature for predicting the prognosis of hepatocellular carcinoma |
title_sort | identification and verification of a novel epigenetic-related gene signature for predicting the prognosis of hepatocellular carcinoma |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9748485/ https://www.ncbi.nlm.nih.gov/pubmed/36531219 http://dx.doi.org/10.3389/fgene.2022.897123 |
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