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Comprehensive analysis of DNA methylation and gene expression profiles in cholangiocarcinoma

BACKGROUND: The incidence of cholangiocarcinoma (CCA) has risen in recent years, and it has become a significant health burden worldwide. However, the mechanisms underlying tumorigenesis and progression of this disease remain largely unknown. An increasing number of studies have demonstrated crucial...

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Autores principales: Zhang, Cheng, Zhang, Bingye, Meng, Di, Ge, Chunlin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6933876/
https://www.ncbi.nlm.nih.gov/pubmed/31889904
http://dx.doi.org/10.1186/s12935-019-1080-y
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author Zhang, Cheng
Zhang, Bingye
Meng, Di
Ge, Chunlin
author_facet Zhang, Cheng
Zhang, Bingye
Meng, Di
Ge, Chunlin
author_sort Zhang, Cheng
collection PubMed
description BACKGROUND: The incidence of cholangiocarcinoma (CCA) has risen in recent years, and it has become a significant health burden worldwide. However, the mechanisms underlying tumorigenesis and progression of this disease remain largely unknown. An increasing number of studies have demonstrated crucial biological functions of epigenetic modifications, especially DNA methylation, in CCA. The present study aimed to identify and analyze methylation-regulated differentially expressed genes (MeDEGs) involved in CCA tumorigenesis and progression by bioinformatics analysis. METHODS: The gene expression profiling dataset (GSE119336) and gene methylation profiling dataset (GSE38860) were obtained from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) and differentially methylated genes (DMGs) were identified using the limma packages of R and GEO2R, respectively. The MeDEGs were obtained by overlapping the DEGs and DMGs. Functional enrichment analyses of these genes were then carried out. Protein–protein interaction (PPI) networks were constructed using STRING and visualized in Cytoscape to determine hub genes. Finally, the results were verified based on The Cancer Genome Atlas (TCGA) database. RESULTS: We identified 98 hypermethylated, downregulated genes and 93 hypomethylated, upregulated genes after overlapping the DEGs and DMGs. These genes were mainly enriched in the biological processes of the cell cycle, nuclear division, xenobiotic metabolism, drug catabolism, and negative regulation of proteolysis. The top nine hub genes of the PPI network were F2, AHSG, RRM2, AURKB, CCNA2, TOP2A, BIRC5, PLK1, and ASPM. Moreover, the expression and methylation status of the hub genes were significantly altered in TCGA. CONCLUSIONS: Our study identified novel methylation-regulated differentially expressed genes (MeDEGs) and explored their related pathways and functions in CCA, which may provide novel insights into a further understanding of methylation-mediated regulatory mechanisms in CCA.
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spelling pubmed-69338762019-12-30 Comprehensive analysis of DNA methylation and gene expression profiles in cholangiocarcinoma Zhang, Cheng Zhang, Bingye Meng, Di Ge, Chunlin Cancer Cell Int Primary Research BACKGROUND: The incidence of cholangiocarcinoma (CCA) has risen in recent years, and it has become a significant health burden worldwide. However, the mechanisms underlying tumorigenesis and progression of this disease remain largely unknown. An increasing number of studies have demonstrated crucial biological functions of epigenetic modifications, especially DNA methylation, in CCA. The present study aimed to identify and analyze methylation-regulated differentially expressed genes (MeDEGs) involved in CCA tumorigenesis and progression by bioinformatics analysis. METHODS: The gene expression profiling dataset (GSE119336) and gene methylation profiling dataset (GSE38860) were obtained from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) and differentially methylated genes (DMGs) were identified using the limma packages of R and GEO2R, respectively. The MeDEGs were obtained by overlapping the DEGs and DMGs. Functional enrichment analyses of these genes were then carried out. Protein–protein interaction (PPI) networks were constructed using STRING and visualized in Cytoscape to determine hub genes. Finally, the results were verified based on The Cancer Genome Atlas (TCGA) database. RESULTS: We identified 98 hypermethylated, downregulated genes and 93 hypomethylated, upregulated genes after overlapping the DEGs and DMGs. These genes were mainly enriched in the biological processes of the cell cycle, nuclear division, xenobiotic metabolism, drug catabolism, and negative regulation of proteolysis. The top nine hub genes of the PPI network were F2, AHSG, RRM2, AURKB, CCNA2, TOP2A, BIRC5, PLK1, and ASPM. Moreover, the expression and methylation status of the hub genes were significantly altered in TCGA. CONCLUSIONS: Our study identified novel methylation-regulated differentially expressed genes (MeDEGs) and explored their related pathways and functions in CCA, which may provide novel insights into a further understanding of methylation-mediated regulatory mechanisms in CCA. BioMed Central 2019-12-26 /pmc/articles/PMC6933876/ /pubmed/31889904 http://dx.doi.org/10.1186/s12935-019-1080-y Text en © The Author(s) 2019 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Primary Research
Zhang, Cheng
Zhang, Bingye
Meng, Di
Ge, Chunlin
Comprehensive analysis of DNA methylation and gene expression profiles in cholangiocarcinoma
title Comprehensive analysis of DNA methylation and gene expression profiles in cholangiocarcinoma
title_full Comprehensive analysis of DNA methylation and gene expression profiles in cholangiocarcinoma
title_fullStr Comprehensive analysis of DNA methylation and gene expression profiles in cholangiocarcinoma
title_full_unstemmed Comprehensive analysis of DNA methylation and gene expression profiles in cholangiocarcinoma
title_short Comprehensive analysis of DNA methylation and gene expression profiles in cholangiocarcinoma
title_sort comprehensive analysis of dna methylation and gene expression profiles in cholangiocarcinoma
topic Primary Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6933876/
https://www.ncbi.nlm.nih.gov/pubmed/31889904
http://dx.doi.org/10.1186/s12935-019-1080-y
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