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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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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. |
format | Online Article Text |
id | pubmed-7412971 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
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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