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Identification of Transcription Factor/Gene Axis in Colon Cancer Using a Methylome Approach

Colon cancer is one of the most commonly diagnosed cancers worldwide. Both environmental and molecular characters can influence its development. DNA methylation has been heralded as a promising marker for use in cancer prevention, diagnosis, and treatment. It has been shown to facilitate cancer prog...

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Autores principales: Zhang, Jiayu, Li, Bo, Shen, Kexin, Zhang, Huaiyu, Gong, ZiJian, Shi, Huaqing, Jiang, Yang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7412971/
https://www.ncbi.nlm.nih.gov/pubmed/32849837
http://dx.doi.org/10.3389/fgene.2020.00864
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author Zhang, Jiayu
Li, Bo
Shen, Kexin
Zhang, Huaiyu
Gong, ZiJian
Shi, Huaqing
Jiang, Yang
author_facet Zhang, Jiayu
Li, Bo
Shen, Kexin
Zhang, Huaiyu
Gong, ZiJian
Shi, Huaqing
Jiang, Yang
author_sort Zhang, Jiayu
collection PubMed
description Colon cancer is one of the most commonly diagnosed cancers worldwide. Both environmental and molecular characters can influence its development. DNA methylation has been heralded as a promising marker for use in cancer prevention, diagnosis, and treatment. It has been shown to facilitate cancer progression through multiple mechanisms. Changes in DNA methylation can inhibit or promote the binding of transcription factors (TFs) and further disturb gene regulation. Detection of DNA methylation-mediated regulatory events in colon cancer are critical for mining novel biomarkers. Here, we explore the influence of CpG sites located at promoter regions of differentially expressed genes and identify methylation–gene relationships using expression–methylation quantitative trait loci. We find that promoter methylation sites mainly negatively regulate the corresponding genes. We also identify candidate TFs that can bind to these sites in a sequence-dependent manner. By integrating transcriptome and methylome profiles, we construct a TF–CpG–gene regulatory network for colon cancer, which is used to determine the roles of TFs and methylation in the transcription process. Finally, based on TF–CpG–gene relationships, we design a framework to evaluate patient prognosis, which shows that one TF–CpG–gene triplet is significantly associated with patient survival rate and represents a potential novel biomarker for use in colon cancer prognosis and treatment.
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spelling pubmed-74129712020-08-25 Identification of Transcription Factor/Gene Axis in Colon Cancer Using a Methylome Approach Zhang, Jiayu Li, Bo Shen, Kexin Zhang, Huaiyu Gong, ZiJian Shi, Huaqing Jiang, Yang Front Genet Genetics Colon cancer is one of the most commonly diagnosed cancers worldwide. Both environmental and molecular characters can influence its development. DNA methylation has been heralded as a promising marker for use in cancer prevention, diagnosis, and treatment. It has been shown to facilitate cancer progression through multiple mechanisms. Changes in DNA methylation can inhibit or promote the binding of transcription factors (TFs) and further disturb gene regulation. Detection of DNA methylation-mediated regulatory events in colon cancer are critical for mining novel biomarkers. Here, we explore the influence of CpG sites located at promoter regions of differentially expressed genes and identify methylation–gene relationships using expression–methylation quantitative trait loci. We find that promoter methylation sites mainly negatively regulate the corresponding genes. We also identify candidate TFs that can bind to these sites in a sequence-dependent manner. By integrating transcriptome and methylome profiles, we construct a TF–CpG–gene regulatory network for colon cancer, which is used to determine the roles of TFs and methylation in the transcription process. Finally, based on TF–CpG–gene relationships, we design a framework to evaluate patient prognosis, which shows that one TF–CpG–gene triplet is significantly associated with patient survival rate and represents a potential novel biomarker for use in colon cancer prognosis and treatment. Frontiers Media S.A. 2020-07-31 /pmc/articles/PMC7412971/ /pubmed/32849837 http://dx.doi.org/10.3389/fgene.2020.00864 Text en Copyright © 2020 Zhang, Li, Shen, Zhang, Gong, Shi and Jiang. 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
Zhang, Jiayu
Li, Bo
Shen, Kexin
Zhang, Huaiyu
Gong, ZiJian
Shi, Huaqing
Jiang, Yang
Identification of Transcription Factor/Gene Axis in Colon Cancer Using a Methylome Approach
title Identification of Transcription Factor/Gene Axis in Colon Cancer Using a Methylome Approach
title_full Identification of Transcription Factor/Gene Axis in Colon Cancer Using a Methylome Approach
title_fullStr Identification of Transcription Factor/Gene Axis in Colon Cancer Using a Methylome Approach
title_full_unstemmed Identification of Transcription Factor/Gene Axis in Colon Cancer Using a Methylome Approach
title_short Identification of Transcription Factor/Gene Axis in Colon Cancer Using a Methylome Approach
title_sort identification of transcription factor/gene axis in colon cancer using a methylome approach
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7412971/
https://www.ncbi.nlm.nih.gov/pubmed/32849837
http://dx.doi.org/10.3389/fgene.2020.00864
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