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Epigenetic mortality predictors and incidence of breast cancer

Measures derived using blood DNA methylation are increasingly under investigation as indicators of disease and mortality risk. Three existing epigenetic age measures or “epigenetic clocks” appear associated with breast cancer. Two newly-developed epigenetic mortality predictors may be related to all...

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Autores principales: Kresovich, Jacob K., Xu, Zongli, O’Brien, Katie M., Weinberg, Clarice R., Sandler, Dale P., Taylor, Jack A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6949084/
https://www.ncbi.nlm.nih.gov/pubmed/31848323
http://dx.doi.org/10.18632/aging.102523
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author Kresovich, Jacob K.
Xu, Zongli
O’Brien, Katie M.
Weinberg, Clarice R.
Sandler, Dale P.
Taylor, Jack A.
author_facet Kresovich, Jacob K.
Xu, Zongli
O’Brien, Katie M.
Weinberg, Clarice R.
Sandler, Dale P.
Taylor, Jack A.
author_sort Kresovich, Jacob K.
collection PubMed
description Measures derived using blood DNA methylation are increasingly under investigation as indicators of disease and mortality risk. Three existing epigenetic age measures or “epigenetic clocks” appear associated with breast cancer. Two newly-developed epigenetic mortality predictors may be related to all-cancer incidence, but associations with specific cancers have not been examined in large studies. Using HumanMethylation450 BeadChips to measure blood DNA methylation in 2,773 cancer-free women enrolled in the Sister Study, we calculated two epigenetic mortality predictors: ‘GrimAgeAccel’ and the ‘mortality score’ (MS). Using Cox proportional hazard models, neither GrimAgeAccel nor the MS were associated with overall breast cancer incidence (GrimAgeAccel hazard ratio [HR]: 1.06, 95% confidence interval [CI]: 0.98-1.14, P=0.17; MS HR: 0.99, 95% CI: 0.92-1.07, P=0.85); however, a weak, positive association was observed for GrimAgeAccel and invasive breast cancer (HR: 1.08, 95% CI: 0.99-1.17, P=0.08). Stratification of invasive cancers by menopause status at diagnoses revealed the association was predominantly observed for postmenopausal breast cancer (HR: 1.10, 95% CI: 1.01, 1.20, P=0.04). Although the MS was unrelated to breast cancer risk, we find evidence that GrimAgeAccel may be weakly associated with invasive breast cancer, particularly for women diagnosed after menopause.
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spelling pubmed-69490842020-01-13 Epigenetic mortality predictors and incidence of breast cancer Kresovich, Jacob K. Xu, Zongli O’Brien, Katie M. Weinberg, Clarice R. Sandler, Dale P. Taylor, Jack A. Aging (Albany NY) Research Paper Measures derived using blood DNA methylation are increasingly under investigation as indicators of disease and mortality risk. Three existing epigenetic age measures or “epigenetic clocks” appear associated with breast cancer. Two newly-developed epigenetic mortality predictors may be related to all-cancer incidence, but associations with specific cancers have not been examined in large studies. Using HumanMethylation450 BeadChips to measure blood DNA methylation in 2,773 cancer-free women enrolled in the Sister Study, we calculated two epigenetic mortality predictors: ‘GrimAgeAccel’ and the ‘mortality score’ (MS). Using Cox proportional hazard models, neither GrimAgeAccel nor the MS were associated with overall breast cancer incidence (GrimAgeAccel hazard ratio [HR]: 1.06, 95% confidence interval [CI]: 0.98-1.14, P=0.17; MS HR: 0.99, 95% CI: 0.92-1.07, P=0.85); however, a weak, positive association was observed for GrimAgeAccel and invasive breast cancer (HR: 1.08, 95% CI: 0.99-1.17, P=0.08). Stratification of invasive cancers by menopause status at diagnoses revealed the association was predominantly observed for postmenopausal breast cancer (HR: 1.10, 95% CI: 1.01, 1.20, P=0.04). Although the MS was unrelated to breast cancer risk, we find evidence that GrimAgeAccel may be weakly associated with invasive breast cancer, particularly for women diagnosed after menopause. Impact Journals 2019-12-17 /pmc/articles/PMC6949084/ /pubmed/31848323 http://dx.doi.org/10.18632/aging.102523 Text en Copyright © 2019 Kresovich et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Kresovich, Jacob K.
Xu, Zongli
O’Brien, Katie M.
Weinberg, Clarice R.
Sandler, Dale P.
Taylor, Jack A.
Epigenetic mortality predictors and incidence of breast cancer
title Epigenetic mortality predictors and incidence of breast cancer
title_full Epigenetic mortality predictors and incidence of breast cancer
title_fullStr Epigenetic mortality predictors and incidence of breast cancer
title_full_unstemmed Epigenetic mortality predictors and incidence of breast cancer
title_short Epigenetic mortality predictors and incidence of breast cancer
title_sort epigenetic mortality predictors and incidence of breast cancer
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6949084/
https://www.ncbi.nlm.nih.gov/pubmed/31848323
http://dx.doi.org/10.18632/aging.102523
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