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Identification of DNA methylation associated gene signatures in endometrial cancer via integrated analysis of DNA methylation and gene expression systematically

OBJECTIVE: Endometrial cancer (EC) is a common gynecologic cancer worldwide. However, the pathogenesis of EC has not been epigenetically elucidated. Here, this study aims to describe the DNA methylation profile and identify favorable gene signatures highly associated with aberrant DNA methylation ch...

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Autores principales: Men, Chuandi, Chai, Hongjuan, Song, Xumin, Li, Yue, Du, Huawen, Ren, Qing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Asian Society of Gynecologic Oncology; Korean Society of Gynecologic Oncology 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5641533/
https://www.ncbi.nlm.nih.gov/pubmed/29027401
http://dx.doi.org/10.3802/jgo.2017.28.e83
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author Men, Chuandi
Chai, Hongjuan
Song, Xumin
Li, Yue
Du, Huawen
Ren, Qing
author_facet Men, Chuandi
Chai, Hongjuan
Song, Xumin
Li, Yue
Du, Huawen
Ren, Qing
author_sort Men, Chuandi
collection PubMed
description OBJECTIVE: Endometrial cancer (EC) is a common gynecologic cancer worldwide. However, the pathogenesis of EC has not been epigenetically elucidated. Here, this study aims to describe the DNA methylation profile and identify favorable gene signatures highly associated with aberrant DNA methylation changes in EC. METHODS: The data regarding DNA methylation and gene expression were downloaded from The Cancer Genome Atlas (TCGA) database. Differentially methylated CpG sites (DMCs), differentially methylated regions (DMRs), and differentially expressed genes (DEGs) were identified, and the relationship between the 2 omics was further analyzed. In addition, weighted CpG site co-methylation network (WCCN) was constructed followed by an integrated analysis of DNA methylation and gene expression data. RESULTS: Four hundred thirty-one tumor tissues and 46 tissues adjacent tumor of EC patients were analyzed. One thousand one hundred thirty-five DMCs (merging to 10 DMRs), and 1,488 DEGs were obtained between tumor and normal groups, respectively. One hundred forty-eight DMCs-DEGs correlated pairs and 13 regional DMCs-DEGs pairs were obtained. Interestingly, we found that some hub genes in 2 modules among 8 modules of WCCN analysis were down-regulated in tumor samples. Furthermore, protocadherins (PCDHs) clusters, DDP6, TNXB, and ZNF154 were identified as novel deregulated genes with altered methylation in EC. CONCLUSION: Based on the analysis of DNA methylation in a systematic view, the potential long-range epigenetic silencing (LRES) composed of PCDHs was reported in ECs for the first time. PCDHs clusters, DDP6, and TNXB were firstly found to be associated with tumorigenesis, and may be novel candidate biomarkers for EC.
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spelling pubmed-56415332017-11-01 Identification of DNA methylation associated gene signatures in endometrial cancer via integrated analysis of DNA methylation and gene expression systematically Men, Chuandi Chai, Hongjuan Song, Xumin Li, Yue Du, Huawen Ren, Qing J Gynecol Oncol Original Article OBJECTIVE: Endometrial cancer (EC) is a common gynecologic cancer worldwide. However, the pathogenesis of EC has not been epigenetically elucidated. Here, this study aims to describe the DNA methylation profile and identify favorable gene signatures highly associated with aberrant DNA methylation changes in EC. METHODS: The data regarding DNA methylation and gene expression were downloaded from The Cancer Genome Atlas (TCGA) database. Differentially methylated CpG sites (DMCs), differentially methylated regions (DMRs), and differentially expressed genes (DEGs) were identified, and the relationship between the 2 omics was further analyzed. In addition, weighted CpG site co-methylation network (WCCN) was constructed followed by an integrated analysis of DNA methylation and gene expression data. RESULTS: Four hundred thirty-one tumor tissues and 46 tissues adjacent tumor of EC patients were analyzed. One thousand one hundred thirty-five DMCs (merging to 10 DMRs), and 1,488 DEGs were obtained between tumor and normal groups, respectively. One hundred forty-eight DMCs-DEGs correlated pairs and 13 regional DMCs-DEGs pairs were obtained. Interestingly, we found that some hub genes in 2 modules among 8 modules of WCCN analysis were down-regulated in tumor samples. Furthermore, protocadherins (PCDHs) clusters, DDP6, TNXB, and ZNF154 were identified as novel deregulated genes with altered methylation in EC. CONCLUSION: Based on the analysis of DNA methylation in a systematic view, the potential long-range epigenetic silencing (LRES) composed of PCDHs was reported in ECs for the first time. PCDHs clusters, DDP6, and TNXB were firstly found to be associated with tumorigenesis, and may be novel candidate biomarkers for EC. Asian Society of Gynecologic Oncology; Korean Society of Gynecologic Oncology 2017-11 2017-09-08 /pmc/articles/PMC5641533/ /pubmed/29027401 http://dx.doi.org/10.3802/jgo.2017.28.e83 Text en Copyright © 2017. Asian Society of Gynecologic Oncology, Korean Society of Gynecologic Oncology https://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Men, Chuandi
Chai, Hongjuan
Song, Xumin
Li, Yue
Du, Huawen
Ren, Qing
Identification of DNA methylation associated gene signatures in endometrial cancer via integrated analysis of DNA methylation and gene expression systematically
title Identification of DNA methylation associated gene signatures in endometrial cancer via integrated analysis of DNA methylation and gene expression systematically
title_full Identification of DNA methylation associated gene signatures in endometrial cancer via integrated analysis of DNA methylation and gene expression systematically
title_fullStr Identification of DNA methylation associated gene signatures in endometrial cancer via integrated analysis of DNA methylation and gene expression systematically
title_full_unstemmed Identification of DNA methylation associated gene signatures in endometrial cancer via integrated analysis of DNA methylation and gene expression systematically
title_short Identification of DNA methylation associated gene signatures in endometrial cancer via integrated analysis of DNA methylation and gene expression systematically
title_sort identification of dna methylation associated gene signatures in endometrial cancer via integrated analysis of dna methylation and gene expression systematically
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5641533/
https://www.ncbi.nlm.nih.gov/pubmed/29027401
http://dx.doi.org/10.3802/jgo.2017.28.e83
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