Epigenome-wide association study reveals decreased average methylation levels years before breast cancer diagnosis
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Author(s)
Type
Journal Article
Abstract
Background. Interest in the potential of DNA methylation in peripheral blood as a biomarker of cancer risk is increasing. We aimed to assess whether epigenome-wide DNA methylation measured in peripheral blood samples obtained before onset of the disease is associated with increased risk of breast cancer.
Methods. We report on three independent prospective nested case-control studies from the European Prospective Investigation into Cancer and Nutrition (EPIC-Italy, n=162 matched case-control pairs); the Norwegian Women and Cancer study (NOWAC, n=168 matched pairs); and the Breakthrough Generations Study (BGS, n=548 matched pairs). We used the Illumina 450k array to measure methylation in the EPIC and NOWAC cohorts. Whole genome bisulphite sequencing (WGBS) was performed on the BGS cohort using pooled DNA samples, combined to reach 50x-coverage across ~16 million CpG sites in the genome including 450k array CpG sites. Mean β values over all probes were calculated as a measurement for epigenome-wide methylation.
Results. In EPIC we found that high epigenome-wide methylation was associated with lower risk of breast cancer (OR per 1SD=0.61, 95%CI 0.47–0.80; -0.2% average difference in epigenome-wide methylation for cases and controls). Specifically, this was observed in gene bodies (OR=0.51, 95%CI 0.38–0.69) but not in gene promoters (OR=0.92, 95%CI 0.64–1.32). The association was not replicated in NOWAC (OR=1.03 95%CI 0.81–1.30). The reasons for heterogeneity across studies are unclear. However, data from the BGS cohort was consistent with epigenome-wide hypomethylation in breast cancer cases across the overlapping 450k probe sites (difference in average epigenome-wide methylation in case and control DNA pools=-0.2%).
Conclusions. We conclude that epigenome-wide hypomethylation of DNA from pre-diagnostic blood samples may be predictive of breast cancer risk and may thus be useful as a clinical biomarker.
Methods. We report on three independent prospective nested case-control studies from the European Prospective Investigation into Cancer and Nutrition (EPIC-Italy, n=162 matched case-control pairs); the Norwegian Women and Cancer study (NOWAC, n=168 matched pairs); and the Breakthrough Generations Study (BGS, n=548 matched pairs). We used the Illumina 450k array to measure methylation in the EPIC and NOWAC cohorts. Whole genome bisulphite sequencing (WGBS) was performed on the BGS cohort using pooled DNA samples, combined to reach 50x-coverage across ~16 million CpG sites in the genome including 450k array CpG sites. Mean β values over all probes were calculated as a measurement for epigenome-wide methylation.
Results. In EPIC we found that high epigenome-wide methylation was associated with lower risk of breast cancer (OR per 1SD=0.61, 95%CI 0.47–0.80; -0.2% average difference in epigenome-wide methylation for cases and controls). Specifically, this was observed in gene bodies (OR=0.51, 95%CI 0.38–0.69) but not in gene promoters (OR=0.92, 95%CI 0.64–1.32). The association was not replicated in NOWAC (OR=1.03 95%CI 0.81–1.30). The reasons for heterogeneity across studies are unclear. However, data from the BGS cohort was consistent with epigenome-wide hypomethylation in breast cancer cases across the overlapping 450k probe sites (difference in average epigenome-wide methylation in case and control DNA pools=-0.2%).
Conclusions. We conclude that epigenome-wide hypomethylation of DNA from pre-diagnostic blood samples may be predictive of breast cancer risk and may thus be useful as a clinical biomarker.
Date Issued
2015-08-04
Date Acceptance
2015-06-29
Citation
Clinical Epigenetics, 2015, 7
ISSN
1868-7083
Publisher
BioMed Central
Journal / Book Title
Clinical Epigenetics
Volume
7
Copyright Statement
© 2015 van Veldhoven et al.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
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Publication Status
Published
Article Number
67