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...
Autores principales: | , , , , , , , , , , , , , , |
---|---|
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 |