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Correlation Patterns Between DNA Methylation and Gene Expression in The Cancer Genome Atlas

BACKGROUND: DNA methylation is a form of epigenetic modification that has been shown to play a significant role in gene regulation. In cancer, DNA methylation plays an important role by regulating the expression of oncogenes. The role of DNA methylation in the onset and progression of various cancer...

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Autores principales: Spainhour, John CG, Lim, Hong Seo, Yi, Soojin V, Qiu, Peng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6376553/
https://www.ncbi.nlm.nih.gov/pubmed/30792573
http://dx.doi.org/10.1177/1176935119828776
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author Spainhour, John CG
Lim, Hong Seo
Yi, Soojin V
Qiu, Peng
author_facet Spainhour, John CG
Lim, Hong Seo
Yi, Soojin V
Qiu, Peng
author_sort Spainhour, John CG
collection PubMed
description BACKGROUND: DNA methylation is a form of epigenetic modification that has been shown to play a significant role in gene regulation. In cancer, DNA methylation plays an important role by regulating the expression of oncogenes. The role of DNA methylation in the onset and progression of various cancer types is now being elucidated as more large-scale data become available. The Cancer Genome Atlas (TCGA) provides a wealth of information for the analysis of various molecular aspects of cancer genetics. Gene expression data and DNA methylation data from TCGA have been used for a variety of studies. A traditional understanding of the effects of DNA methylation on gene expression has linked methylation of CpG sites in the gene promoter region with the decrease in gene expression. Recent studies have begun to expand this traditional role of DNA methylation. RESULTS: Here we present a pan-cancer analysis of correlation patterns between CpG methylation and gene expression. Using matching patient data from TCGA, 33 cancer-specific correlations were calculated for each CpG site and the expression level of its corresponding gene. These correlations were used to identify patterns on a per-site basis as well as patterns of methylation across the gene body. Using these identified patterns, we found genes that contain conflicting methylation signals beyond the commonly accepted association between the promoter region methylation and silencing of gene expression. Beyond gene body methylation in whole, we examined individual CpG sites and show that, even in the same gene body, some sites can have a contradictory effect on gene expression in cancers. CONCLUSIONS: We observed that within promoter regions there was a substantial amount of positive correlation between methylation and gene expression, which contradicts the commonly accepted association. We observed that the correlation between CpG methylation and gene expression does not exhibit in a tissue-specific manner, suggesting that the effects of methylation on gene expression are largely tissue independent. The analysis of correlation associated with the location of the CpG site in the gene body has led to the identification of several different methylation patterns that affect gene expression, and several examples of methylation activating gene expression were observed. Distinctly opposing or conflicting effects were seen in close proximity on the gene body, where negative and positive correlations were seen at the neighboring CpG sites.
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spelling pubmed-63765532019-02-21 Correlation Patterns Between DNA Methylation and Gene Expression in The Cancer Genome Atlas Spainhour, John CG Lim, Hong Seo Yi, Soojin V Qiu, Peng Cancer Inform Original Research BACKGROUND: DNA methylation is a form of epigenetic modification that has been shown to play a significant role in gene regulation. In cancer, DNA methylation plays an important role by regulating the expression of oncogenes. The role of DNA methylation in the onset and progression of various cancer types is now being elucidated as more large-scale data become available. The Cancer Genome Atlas (TCGA) provides a wealth of information for the analysis of various molecular aspects of cancer genetics. Gene expression data and DNA methylation data from TCGA have been used for a variety of studies. A traditional understanding of the effects of DNA methylation on gene expression has linked methylation of CpG sites in the gene promoter region with the decrease in gene expression. Recent studies have begun to expand this traditional role of DNA methylation. RESULTS: Here we present a pan-cancer analysis of correlation patterns between CpG methylation and gene expression. Using matching patient data from TCGA, 33 cancer-specific correlations were calculated for each CpG site and the expression level of its corresponding gene. These correlations were used to identify patterns on a per-site basis as well as patterns of methylation across the gene body. Using these identified patterns, we found genes that contain conflicting methylation signals beyond the commonly accepted association between the promoter region methylation and silencing of gene expression. Beyond gene body methylation in whole, we examined individual CpG sites and show that, even in the same gene body, some sites can have a contradictory effect on gene expression in cancers. CONCLUSIONS: We observed that within promoter regions there was a substantial amount of positive correlation between methylation and gene expression, which contradicts the commonly accepted association. We observed that the correlation between CpG methylation and gene expression does not exhibit in a tissue-specific manner, suggesting that the effects of methylation on gene expression are largely tissue independent. The analysis of correlation associated with the location of the CpG site in the gene body has led to the identification of several different methylation patterns that affect gene expression, and several examples of methylation activating gene expression were observed. Distinctly opposing or conflicting effects were seen in close proximity on the gene body, where negative and positive correlations were seen at the neighboring CpG sites. SAGE Publications 2019-02-11 /pmc/articles/PMC6376553/ /pubmed/30792573 http://dx.doi.org/10.1177/1176935119828776 Text en © The Author(s) 2019 http://www.creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Research
Spainhour, John CG
Lim, Hong Seo
Yi, Soojin V
Qiu, Peng
Correlation Patterns Between DNA Methylation and Gene Expression in The Cancer Genome Atlas
title Correlation Patterns Between DNA Methylation and Gene Expression in The Cancer Genome Atlas
title_full Correlation Patterns Between DNA Methylation and Gene Expression in The Cancer Genome Atlas
title_fullStr Correlation Patterns Between DNA Methylation and Gene Expression in The Cancer Genome Atlas
title_full_unstemmed Correlation Patterns Between DNA Methylation and Gene Expression in The Cancer Genome Atlas
title_short Correlation Patterns Between DNA Methylation and Gene Expression in The Cancer Genome Atlas
title_sort correlation patterns between dna methylation and gene expression in the cancer genome atlas
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6376553/
https://www.ncbi.nlm.nih.gov/pubmed/30792573
http://dx.doi.org/10.1177/1176935119828776
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