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Development and Validation of Epigenetic Modification-Related Signals for the Diagnosis and Prognosis of Hepatocellular Carcinoma

BACKGROUND: Increasing evidence has indicated that abnormal epigenetic factors such as RNA m6A modification, histone modification, DNA methylation, RNA binding proteins and transcription factors are correlated with hepatocarcinogenesis. However, it is unknown how epigenetic modification-associated g...

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Autores principales: Lu, Maoqing, Qiu, Sheng, Jiang, Xianyao, Wen, Diguang, Zhang, Ronggui, Liu, Zuojin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8256693/
https://www.ncbi.nlm.nih.gov/pubmed/34235075
http://dx.doi.org/10.3389/fonc.2021.649093
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author Lu, Maoqing
Qiu, Sheng
Jiang, Xianyao
Wen, Diguang
Zhang, Ronggui
Liu, Zuojin
author_facet Lu, Maoqing
Qiu, Sheng
Jiang, Xianyao
Wen, Diguang
Zhang, Ronggui
Liu, Zuojin
author_sort Lu, Maoqing
collection PubMed
description BACKGROUND: Increasing evidence has indicated that abnormal epigenetic factors such as RNA m6A modification, histone modification, DNA methylation, RNA binding proteins and transcription factors are correlated with hepatocarcinogenesis. However, it is unknown how epigenetic modification-associated genes contribute to the occurrence and clinical outcome of hepatocellular carcinoma (HCC). Thus, we constructed the epigenetic modification-associated models that may enhance the diagnosis and prognosis of HCC. METHODS: In this study, we focused on the clinical value of epigenetic modification-associated genes for HCC. Our gene expression data were collected from TCGA and HCC data sets from the GEO database to ensure the reliability of the data. Their functions were analyzed by bioinformatics methods. We used lasso regression, Support vector machine (SVM), logistic regression and Cox regression to construct the diagnostic and prognostic models. We also constructed a nomogram of the practicability of the above-mentioned prognostic model. The above results were verified in an independent liver cancer data set from the ICGC database and clinical samples. Furthermore, we carried out pan-cancer analysis to verify the specificity of the above model and screened a wide range of drug candidates. RESULTS: Many epigenetic modification-associated genes were significantly different in HCC and normal liver tissues. The gene signatures showed a good ability to predict the occurrence and survival of HCC patients, as verified by DCA and ROC curve analysis. CONCLUSION: Gene signatures based on epigenetic modification-associated genes can be used to identify the occurrence and prognosis of liver cancer.
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spelling pubmed-82566932021-07-06 Development and Validation of Epigenetic Modification-Related Signals for the Diagnosis and Prognosis of Hepatocellular Carcinoma Lu, Maoqing Qiu, Sheng Jiang, Xianyao Wen, Diguang Zhang, Ronggui Liu, Zuojin Front Oncol Oncology BACKGROUND: Increasing evidence has indicated that abnormal epigenetic factors such as RNA m6A modification, histone modification, DNA methylation, RNA binding proteins and transcription factors are correlated with hepatocarcinogenesis. However, it is unknown how epigenetic modification-associated genes contribute to the occurrence and clinical outcome of hepatocellular carcinoma (HCC). Thus, we constructed the epigenetic modification-associated models that may enhance the diagnosis and prognosis of HCC. METHODS: In this study, we focused on the clinical value of epigenetic modification-associated genes for HCC. Our gene expression data were collected from TCGA and HCC data sets from the GEO database to ensure the reliability of the data. Their functions were analyzed by bioinformatics methods. We used lasso regression, Support vector machine (SVM), logistic regression and Cox regression to construct the diagnostic and prognostic models. We also constructed a nomogram of the practicability of the above-mentioned prognostic model. The above results were verified in an independent liver cancer data set from the ICGC database and clinical samples. Furthermore, we carried out pan-cancer analysis to verify the specificity of the above model and screened a wide range of drug candidates. RESULTS: Many epigenetic modification-associated genes were significantly different in HCC and normal liver tissues. The gene signatures showed a good ability to predict the occurrence and survival of HCC patients, as verified by DCA and ROC curve analysis. CONCLUSION: Gene signatures based on epigenetic modification-associated genes can be used to identify the occurrence and prognosis of liver cancer. Frontiers Media S.A. 2021-06-17 /pmc/articles/PMC8256693/ /pubmed/34235075 http://dx.doi.org/10.3389/fonc.2021.649093 Text en Copyright © 2021 Lu, Qiu, Jiang, Wen, Zhang and Liu 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 Oncology
Lu, Maoqing
Qiu, Sheng
Jiang, Xianyao
Wen, Diguang
Zhang, Ronggui
Liu, Zuojin
Development and Validation of Epigenetic Modification-Related Signals for the Diagnosis and Prognosis of Hepatocellular Carcinoma
title Development and Validation of Epigenetic Modification-Related Signals for the Diagnosis and Prognosis of Hepatocellular Carcinoma
title_full Development and Validation of Epigenetic Modification-Related Signals for the Diagnosis and Prognosis of Hepatocellular Carcinoma
title_fullStr Development and Validation of Epigenetic Modification-Related Signals for the Diagnosis and Prognosis of Hepatocellular Carcinoma
title_full_unstemmed Development and Validation of Epigenetic Modification-Related Signals for the Diagnosis and Prognosis of Hepatocellular Carcinoma
title_short Development and Validation of Epigenetic Modification-Related Signals for the Diagnosis and Prognosis of Hepatocellular Carcinoma
title_sort development and validation of epigenetic modification-related signals for the diagnosis and prognosis of hepatocellular carcinoma
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8256693/
https://www.ncbi.nlm.nih.gov/pubmed/34235075
http://dx.doi.org/10.3389/fonc.2021.649093
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