» Articles » PMID: 26411804

DNA Methylation Age of Blood Predicts Future Onset of Lung Cancer in the Women's Health Initiative

Overview
Specialty Geriatrics
Date 2015 Sep 29
PMID 26411804
Citations 177
Authors
Affiliations
Soon will be listed here.
Abstract

Lung cancer is considered an age-associated disease, whose progression is in part due to accumulation of genomic instability as well as age-related decline in system integrity and function. Thus even among individuals exposed to high levels of genotoxic carcinogens, such as those found in cigarette smoke, lung cancer susceptibility may vary as a function of individual differences in the rate of biological aging. We recently developed a highly accurate candidate biomarker of aging based on DNA methylation (DNAm) levels, which may prove useful in assessing risk of aging-related diseases, such as lung cancer. Using data on 2,029 females from the Women's Health Initiative, we examined whether baseline measures of "intrinsic epigenetic age acceleration" (IEAA) predicted subsequent lung cancer incidence. We observed 43 lung cancer cases over the nearly twenty years of follow-up. Results showed that standardized measures of IEAA were significantly associated with lung cancer incidence (HR: 1.50, P=3.4x10-3). Furthermore, stratified Cox proportional hazard models suggested that the association may be even stronger among older individuals (70 years or above) or those who are current smokers. Overall, our results suggest that IEAA may be a useful biomarker for evaluating lung cancer susceptibility from a biological aging perspective.

Citing Articles

Epigenetic entropy, social disparity, and health and lifespan in the Women's Health Initiative.

Mozhui K, Starlard-Davenport A, Sun Y, Shadyab A, Casanova R, Thomas F medRxiv. 2025; .

PMID: 40061325 PMC: 11888519. DOI: 10.1101/2025.02.21.25322696.


Methylation Biomarkers of Lung Cancer Risk: A Systematic Review and Meta-Analysis.

Dolcini J, Chiavarini M, Firmani G, Brennan K, Cardenas A, Baccarelli A Cancers (Basel). 2025; 17(4).

PMID: 40002283 PMC: 11853407. DOI: 10.3390/cancers17040690.


Bidirectional relationship between epigenetic age and stroke, dementia, and late-life depression.

Rivier C, Szejko N, Renedo D, Clocchiatti-Tuozzo S, Huo S, de Havenon A Nat Commun. 2025; 16(1):1261.

PMID: 39893209 PMC: 11787333. DOI: 10.1038/s41467-024-54721-0.


Accelerated epigenetic ageing after burn injury.

Sullivan J, Nicholson T, Hazeldine J, Moiemen N, Lord J Geroscience. 2025; .

PMID: 39821820 DOI: 10.1007/s11357-024-01433-4.


Cell-type specific epigenetic clocks to quantify biological age at cell-type resolution.

Tong H, Guo X, Jacques M, Luo Q, Eynon N, Teschendorff A Aging (Albany NY). 2025; 16(22):13452-13504.

PMID: 39760516 PMC: 11723652. DOI: 10.18632/aging.206184.


References
1.
Derhovanessian E, Solana R, Larbi A, Pawelec G . Immunity, ageing and cancer. Immun Ageing. 2008; 5:11. PMC: 2564902. DOI: 10.1186/1742-4933-5-11. View

2.
Horvath S, Garagnani P, Bacalini M, Pirazzini C, Salvioli S, Gentilini D . Accelerated epigenetic aging in Down syndrome. Aging Cell. 2015; 14(3):491-5. PMC: 4406678. DOI: 10.1111/acel.12325. View

3.
Marioni R, Shah S, McRae A, Ritchie S, Muniz-Terrera G, Harris S . The epigenetic clock is correlated with physical and cognitive fitness in the Lothian Birth Cohort 1936. Int J Epidemiol. 2015; 44(4):1388-96. PMC: 4588858. DOI: 10.1093/ije/dyu277. View

4.
Curb J, McTiernan A, Heckbert S, Kooperberg C, Stanford J, Nevitt M . Outcomes ascertainment and adjudication methods in the Women's Health Initiative. Ann Epidemiol. 2003; 13(9 Suppl):S122-8. DOI: 10.1016/s1047-2797(03)00048-6. View

5.
Friedman J, Hastie T, Tibshirani R . Regularization Paths for Generalized Linear Models via Coordinate Descent. J Stat Softw. 2010; 33(1):1-22. PMC: 2929880. View