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Characterization of DNA Methylation Associated Gene Regulatory Networks During Stomach Cancer Progression
DNA methylation plays a critical role in tumorigenesis through regulating oncogene activation and tumor suppressor gene silencing. Although extensively analyzed, the implication of DNA methylation in gene regulatory network is less characterized. To address this issue, in this study we performed an...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6369581/ https://www.ncbi.nlm.nih.gov/pubmed/30778372 http://dx.doi.org/10.3389/fgene.2018.00711 |
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author | Wu, Jun Gu, Yunzhao Xiao, Yawen Xia, Chao Li, Hua Kang, Yani Sun, Jielin Shao, Zhifeng Lin, Zongli Zhao, Xiaodong |
author_facet | Wu, Jun Gu, Yunzhao Xiao, Yawen Xia, Chao Li, Hua Kang, Yani Sun, Jielin Shao, Zhifeng Lin, Zongli Zhao, Xiaodong |
author_sort | Wu, Jun |
collection | PubMed |
description | DNA methylation plays a critical role in tumorigenesis through regulating oncogene activation and tumor suppressor gene silencing. Although extensively analyzed, the implication of DNA methylation in gene regulatory network is less characterized. To address this issue, in this study we performed an integrative analysis on the alteration of DNA methylation patterns and the dynamics of gene regulatory network topology across distinct stages of stomach cancer. We found the global DNA methylation patterns in different stages are generally conserved, whereas some significantly differentially methylated genes were exclusively observed in the early stage of stomach cancer. Integrative analysis of DNA methylation and network topology alteration yielded several genes which have been reported to be involved in the progression of stomach cancer, such as IGF2, ERBB2, GSTP1, MYH11, TMEM59, and SST. Finally, we demonstrated that inhibition of SST promotes cell proliferation, suggesting that DNA methylation-associated SST suppression possibly contributes to the gastric cancer progression. Taken together, our study suggests the DNA methylation-associated regulatory network analysis could be used for identifying cancer-related genes. This strategy can facilitate the understanding of gene regulatory network in cancer biology and provide a new insight into the study of DNA methylation at system level. |
format | Online Article Text |
id | pubmed-6369581 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-63695812019-02-18 Characterization of DNA Methylation Associated Gene Regulatory Networks During Stomach Cancer Progression Wu, Jun Gu, Yunzhao Xiao, Yawen Xia, Chao Li, Hua Kang, Yani Sun, Jielin Shao, Zhifeng Lin, Zongli Zhao, Xiaodong Front Genet Genetics DNA methylation plays a critical role in tumorigenesis through regulating oncogene activation and tumor suppressor gene silencing. Although extensively analyzed, the implication of DNA methylation in gene regulatory network is less characterized. To address this issue, in this study we performed an integrative analysis on the alteration of DNA methylation patterns and the dynamics of gene regulatory network topology across distinct stages of stomach cancer. We found the global DNA methylation patterns in different stages are generally conserved, whereas some significantly differentially methylated genes were exclusively observed in the early stage of stomach cancer. Integrative analysis of DNA methylation and network topology alteration yielded several genes which have been reported to be involved in the progression of stomach cancer, such as IGF2, ERBB2, GSTP1, MYH11, TMEM59, and SST. Finally, we demonstrated that inhibition of SST promotes cell proliferation, suggesting that DNA methylation-associated SST suppression possibly contributes to the gastric cancer progression. Taken together, our study suggests the DNA methylation-associated regulatory network analysis could be used for identifying cancer-related genes. This strategy can facilitate the understanding of gene regulatory network in cancer biology and provide a new insight into the study of DNA methylation at system level. Frontiers Media S.A. 2019-02-04 /pmc/articles/PMC6369581/ /pubmed/30778372 http://dx.doi.org/10.3389/fgene.2018.00711 Text en Copyright © 2019 Wu, Gu, Xiao, Xia, Li, Kang, Sun, Shao, Lin and Zhao. http://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 Wu, Jun Gu, Yunzhao Xiao, Yawen Xia, Chao Li, Hua Kang, Yani Sun, Jielin Shao, Zhifeng Lin, Zongli Zhao, Xiaodong Characterization of DNA Methylation Associated Gene Regulatory Networks During Stomach Cancer Progression |
title | Characterization of DNA Methylation Associated Gene Regulatory Networks During Stomach Cancer Progression |
title_full | Characterization of DNA Methylation Associated Gene Regulatory Networks During Stomach Cancer Progression |
title_fullStr | Characterization of DNA Methylation Associated Gene Regulatory Networks During Stomach Cancer Progression |
title_full_unstemmed | Characterization of DNA Methylation Associated Gene Regulatory Networks During Stomach Cancer Progression |
title_short | Characterization of DNA Methylation Associated Gene Regulatory Networks During Stomach Cancer Progression |
title_sort | characterization of dna methylation associated gene regulatory networks during stomach cancer progression |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6369581/ https://www.ncbi.nlm.nih.gov/pubmed/30778372 http://dx.doi.org/10.3389/fgene.2018.00711 |
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