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Prognostic value of aberrantly expressed methylation genes in human hepatocellular carcinoma

Objectives: To identify the prognostic value of aberrantly methylated differentially expressed genes (DEGs) in hepatocellular carcinoma (HCC) and to explore the underlying mechanisms of tumorigenesis. Methods: Gene expression profiles (GSE65372 and GSE37988) were analyzed using GEO2R to obtain aberr...

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Autores principales: Zhen, Limin, Ning, Gang, Wu, Lina, Zheng, Yongyuan, Yang, Fangji, Chen, Tongtong, Xu, Wenxiong, Liu, Ying, Xie, Chan, Peng, Liang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Portland Press Ltd. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7536330/
https://www.ncbi.nlm.nih.gov/pubmed/32955083
http://dx.doi.org/10.1042/BSR20192593
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author Zhen, Limin
Ning, Gang
Wu, Lina
Zheng, Yongyuan
Yang, Fangji
Chen, Tongtong
Xu, Wenxiong
Liu, Ying
Xie, Chan
Peng, Liang
author_facet Zhen, Limin
Ning, Gang
Wu, Lina
Zheng, Yongyuan
Yang, Fangji
Chen, Tongtong
Xu, Wenxiong
Liu, Ying
Xie, Chan
Peng, Liang
author_sort Zhen, Limin
collection PubMed
description Objectives: To identify the prognostic value of aberrantly methylated differentially expressed genes (DEGs) in hepatocellular carcinoma (HCC) and to explore the underlying mechanisms of tumorigenesis. Methods: Gene expression profiles (GSE65372 and GSE37988) were analyzed using GEO2R to obtain aberrantly methylated DEGs. Functional enrichment analysis of screened genes was performed by the Database for Annotation, Visualization, and Integrated Discovery (DAVID). Cytoscape software was used to analyze the PPI network and to select hub genes. Transcriptional and proteinic expression data of hub genes were obtained through UALCAN and the Human Protein Reference Database. Finally, we analyzed the prognostic value of hub genes with the Kaplan–Meier Plotter and MethSurv database. Results: In total, 24 up-hypomethylated oncogenes and 37 down-hypermethylated tumor suppressor genes (TSGs) were identified, and 8 hub genes, including 4 up-hypomethylated oncogenes (CDC5L, MERTK, RHOA and YBX1) and 4 down-hypermethylated TSGs (BCR, DFFA, SCUBE2 and TP63), were selected by PPI. Higher expression of methylated CDC5L-cg05671347, MERTK-cg08279316, RHOA-cg05657651 and YBX1-cg16306148, and lower expression of methylated BCR-cg25410636, DFFA-cg20696875, SCUBE2-cg19000089 and TP63-cg06520450, were associated with better overall survival (OS) in HCC patients. Multivariate analysis also showed they were independent prognostic factors for OS of HCC patients. Conclusions: In summary, different expression of methylated genes above mentioned were associated with better prognosis in HCC patients. Altering the methylation status of these genes may be a therapeutic target for HCC, but it should be further evaluated in clinical studies.
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spelling pubmed-75363302020-10-15 Prognostic value of aberrantly expressed methylation genes in human hepatocellular carcinoma Zhen, Limin Ning, Gang Wu, Lina Zheng, Yongyuan Yang, Fangji Chen, Tongtong Xu, Wenxiong Liu, Ying Xie, Chan Peng, Liang Biosci Rep Cancer Objectives: To identify the prognostic value of aberrantly methylated differentially expressed genes (DEGs) in hepatocellular carcinoma (HCC) and to explore the underlying mechanisms of tumorigenesis. Methods: Gene expression profiles (GSE65372 and GSE37988) were analyzed using GEO2R to obtain aberrantly methylated DEGs. Functional enrichment analysis of screened genes was performed by the Database for Annotation, Visualization, and Integrated Discovery (DAVID). Cytoscape software was used to analyze the PPI network and to select hub genes. Transcriptional and proteinic expression data of hub genes were obtained through UALCAN and the Human Protein Reference Database. Finally, we analyzed the prognostic value of hub genes with the Kaplan–Meier Plotter and MethSurv database. Results: In total, 24 up-hypomethylated oncogenes and 37 down-hypermethylated tumor suppressor genes (TSGs) were identified, and 8 hub genes, including 4 up-hypomethylated oncogenes (CDC5L, MERTK, RHOA and YBX1) and 4 down-hypermethylated TSGs (BCR, DFFA, SCUBE2 and TP63), were selected by PPI. Higher expression of methylated CDC5L-cg05671347, MERTK-cg08279316, RHOA-cg05657651 and YBX1-cg16306148, and lower expression of methylated BCR-cg25410636, DFFA-cg20696875, SCUBE2-cg19000089 and TP63-cg06520450, were associated with better overall survival (OS) in HCC patients. Multivariate analysis also showed they were independent prognostic factors for OS of HCC patients. Conclusions: In summary, different expression of methylated genes above mentioned were associated with better prognosis in HCC patients. Altering the methylation status of these genes may be a therapeutic target for HCC, but it should be further evaluated in clinical studies. Portland Press Ltd. 2020-10-05 /pmc/articles/PMC7536330/ /pubmed/32955083 http://dx.doi.org/10.1042/BSR20192593 Text en © 2020 The Author(s). https://creativecommons.org/licenses/by/4.0/ This is an open access article published by Portland Press Limited on behalf of the Biochemical Society and distributed under the Creative Commons Attribution License 4.0 (CC BY).
spellingShingle Cancer
Zhen, Limin
Ning, Gang
Wu, Lina
Zheng, Yongyuan
Yang, Fangji
Chen, Tongtong
Xu, Wenxiong
Liu, Ying
Xie, Chan
Peng, Liang
Prognostic value of aberrantly expressed methylation genes in human hepatocellular carcinoma
title Prognostic value of aberrantly expressed methylation genes in human hepatocellular carcinoma
title_full Prognostic value of aberrantly expressed methylation genes in human hepatocellular carcinoma
title_fullStr Prognostic value of aberrantly expressed methylation genes in human hepatocellular carcinoma
title_full_unstemmed Prognostic value of aberrantly expressed methylation genes in human hepatocellular carcinoma
title_short Prognostic value of aberrantly expressed methylation genes in human hepatocellular carcinoma
title_sort prognostic value of aberrantly expressed methylation genes in human hepatocellular carcinoma
topic Cancer
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7536330/
https://www.ncbi.nlm.nih.gov/pubmed/32955083
http://dx.doi.org/10.1042/BSR20192593
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