Biological Aging Measures Based on Blood DNA Methylation and Risk of Cancer: A Prospective Study
Year: 2020
Type: article
Study design: Observational Study
Abstract: ABSTRACT We previously investigated the association between five ‘first-generation’ measures of epigenetic aging and cancer risk in the Melbourne Collaborative Cohort Study. The present study assesses cancer risk associations for three recently developed methylation-based measures of aging: PhenoAge, GrimAge , and predicted telomere length. We estimated rate ratios (RRs) for risk of colorectal (N=814), gastric (N=166), kidney (N=139), lung (N=327), mature B-cell (N=426), prostate (N=847) and urothelial (N=404) cancer, using conditional logistic regression models. We observed relatively strong associations of PhenoAge with risk of colorectal, kidney, lung, mature B-cell, and urothelial cancers (RR per standard deviation ∼ 1.2-1.3). Similar findings were obtained for GrimAge , but the association with lung cancer risk was remarkably stronger (RR ∼ 1.8 after adjustment for smoking status, pack-years, starting age, time since quitting and other cancer risk factors). The methylation-based measures PhenoAge and GrimAge may provide insights into the relationship between biological aging and cancer.
Source: JNCI Cancer Spectrum
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $2,050
Awards: G1094733267, Personalized clinical genomics and epigenomics., Methylation of DNA and colorectal cancer, Methylation as a risk and prognostic factor for breast cancer, G3729156826, G5616697689, Methylation and the risk of urothelial cell cancer, Epidemiology of Chronic Disease, Health Interventions and DNA Studies, G7199237069, Precision Public Health for major cancers - novel approaches to building the genetic, epigenetic and lifestyle knowledge base for assessing risk and prognosis, Methylation as a risk factor for prostate cancer., Novel molecular markers of lung cancer risk and survival, G8123808567, Risk and prognostic factors for breast cancer of different immunohistochemical subtypes, G8797697851, Increasing precision in epidemiological exposure assessment by integrating genetic and epigenetic data
OpenAlex ID: W3100302089
