Cargando…

Blood Epigenetic Age may Predict Cancer Incidence and Mortality

Biological measures of aging are important for understanding the health of an aging population, with epigenetics particularly promising. Previous studies found that tumor tissue is epigenetically older than its donors are chronologically. We examined whether blood Δ(age) (the discrepancy between epi...

Descripción completa

Detalles Bibliográficos
Autores principales: Zheng, Yinan, Joyce, Brian T., Colicino, Elena, Liu, Lei, Zhang, Wei, Dai, Qi, Shrubsole, Martha J., Kibbe, Warren A., Gao, Tao, Zhang, Zhou, Jafari, Nadereh, Vokonas, Pantel, Schwartz, Joel, Baccarelli, Andrea A., Hou, Lifang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4816845/
https://www.ncbi.nlm.nih.gov/pubmed/27077113
http://dx.doi.org/10.1016/j.ebiom.2016.02.008
_version_ 1782424788292075520
author Zheng, Yinan
Joyce, Brian T.
Colicino, Elena
Liu, Lei
Zhang, Wei
Dai, Qi
Shrubsole, Martha J.
Kibbe, Warren A.
Gao, Tao
Zhang, Zhou
Jafari, Nadereh
Vokonas, Pantel
Schwartz, Joel
Baccarelli, Andrea A.
Hou, Lifang
author_facet Zheng, Yinan
Joyce, Brian T.
Colicino, Elena
Liu, Lei
Zhang, Wei
Dai, Qi
Shrubsole, Martha J.
Kibbe, Warren A.
Gao, Tao
Zhang, Zhou
Jafari, Nadereh
Vokonas, Pantel
Schwartz, Joel
Baccarelli, Andrea A.
Hou, Lifang
author_sort Zheng, Yinan
collection PubMed
description Biological measures of aging are important for understanding the health of an aging population, with epigenetics particularly promising. Previous studies found that tumor tissue is epigenetically older than its donors are chronologically. We examined whether blood Δ(age) (the discrepancy between epigenetic and chronological ages) can predict cancer incidence or mortality, thus assessing its potential as a cancer biomarker. In a prospective cohort, Δ(age) and its rate of change over time were calculated in 834 blood leukocyte samples collected from 442 participants free of cancer at blood draw. About 3–5 years before cancer onset or death, Δ(age) was associated with cancer risks in a dose-responsive manner (P = 0.02) and a one-year increase in Δ(age) was associated with cancer incidence (HR: 1.06, 95% CI: 1.02–1.10) and mortality (HR: 1.17, 95% CI: 1.07–1.28). Participants with smaller Δ(age) and decelerated epigenetic aging over time had the lowest risks of cancer incidence (P = 0.003) and mortality (P = 0.02). Δ(age) was associated with cancer incidence in a ‘J-shaped’ manner for subjects examined pre-2003, and with cancer mortality in a time-varying manner. We conclude that blood epigenetic age may mirror epigenetic abnormalities related to cancer development, potentially serving as a minimally invasive biomarker for cancer early detection.
format Online
Article
Text
id pubmed-4816845
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-48168452016-04-13 Blood Epigenetic Age may Predict Cancer Incidence and Mortality Zheng, Yinan Joyce, Brian T. Colicino, Elena Liu, Lei Zhang, Wei Dai, Qi Shrubsole, Martha J. Kibbe, Warren A. Gao, Tao Zhang, Zhou Jafari, Nadereh Vokonas, Pantel Schwartz, Joel Baccarelli, Andrea A. Hou, Lifang EBioMedicine Research Paper Biological measures of aging are important for understanding the health of an aging population, with epigenetics particularly promising. Previous studies found that tumor tissue is epigenetically older than its donors are chronologically. We examined whether blood Δ(age) (the discrepancy between epigenetic and chronological ages) can predict cancer incidence or mortality, thus assessing its potential as a cancer biomarker. In a prospective cohort, Δ(age) and its rate of change over time were calculated in 834 blood leukocyte samples collected from 442 participants free of cancer at blood draw. About 3–5 years before cancer onset or death, Δ(age) was associated with cancer risks in a dose-responsive manner (P = 0.02) and a one-year increase in Δ(age) was associated with cancer incidence (HR: 1.06, 95% CI: 1.02–1.10) and mortality (HR: 1.17, 95% CI: 1.07–1.28). Participants with smaller Δ(age) and decelerated epigenetic aging over time had the lowest risks of cancer incidence (P = 0.003) and mortality (P = 0.02). Δ(age) was associated with cancer incidence in a ‘J-shaped’ manner for subjects examined pre-2003, and with cancer mortality in a time-varying manner. We conclude that blood epigenetic age may mirror epigenetic abnormalities related to cancer development, potentially serving as a minimally invasive biomarker for cancer early detection. Elsevier 2016-02-08 /pmc/articles/PMC4816845/ /pubmed/27077113 http://dx.doi.org/10.1016/j.ebiom.2016.02.008 Text en © 2016 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Paper
Zheng, Yinan
Joyce, Brian T.
Colicino, Elena
Liu, Lei
Zhang, Wei
Dai, Qi
Shrubsole, Martha J.
Kibbe, Warren A.
Gao, Tao
Zhang, Zhou
Jafari, Nadereh
Vokonas, Pantel
Schwartz, Joel
Baccarelli, Andrea A.
Hou, Lifang
Blood Epigenetic Age may Predict Cancer Incidence and Mortality
title Blood Epigenetic Age may Predict Cancer Incidence and Mortality
title_full Blood Epigenetic Age may Predict Cancer Incidence and Mortality
title_fullStr Blood Epigenetic Age may Predict Cancer Incidence and Mortality
title_full_unstemmed Blood Epigenetic Age may Predict Cancer Incidence and Mortality
title_short Blood Epigenetic Age may Predict Cancer Incidence and Mortality
title_sort blood epigenetic age may predict cancer incidence and mortality
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4816845/
https://www.ncbi.nlm.nih.gov/pubmed/27077113
http://dx.doi.org/10.1016/j.ebiom.2016.02.008
work_keys_str_mv AT zhengyinan bloodepigeneticagemaypredictcancerincidenceandmortality
AT joycebriant bloodepigeneticagemaypredictcancerincidenceandmortality
AT colicinoelena bloodepigeneticagemaypredictcancerincidenceandmortality
AT liulei bloodepigeneticagemaypredictcancerincidenceandmortality
AT zhangwei bloodepigeneticagemaypredictcancerincidenceandmortality
AT daiqi bloodepigeneticagemaypredictcancerincidenceandmortality
AT shrubsolemarthaj bloodepigeneticagemaypredictcancerincidenceandmortality
AT kibbewarrena bloodepigeneticagemaypredictcancerincidenceandmortality
AT gaotao bloodepigeneticagemaypredictcancerincidenceandmortality
AT zhangzhou bloodepigeneticagemaypredictcancerincidenceandmortality
AT jafarinadereh bloodepigeneticagemaypredictcancerincidenceandmortality
AT vokonaspantel bloodepigeneticagemaypredictcancerincidenceandmortality
AT schwartzjoel bloodepigeneticagemaypredictcancerincidenceandmortality
AT baccarelliandreaa bloodepigeneticagemaypredictcancerincidenceandmortality
AT houlifang bloodepigeneticagemaypredictcancerincidenceandmortality