Journal article

DNA methylation-based biological aging and cancer risk and survival: Pooled analysis of seven prospective studies

Pierre-Antoine Dugue, Julie K Bassett, JiHoon E Joo, Chol-Hee Jung, Ee Ming Wong, Margarita Moreno-Betancur, Daniel Schmidt, Enes Makalic, Shuai Li, Gianluca Severi, Allison M Hodge, Daniel D Buchanan, Dallas R English, John L Hopper, Melissa C Southey, Graham G Giles, Roger L Milne



The association between aging and cancer is complex. Recent studies have developed measures of biological aging based on DNA methylation and called them "age acceleration." We aimed to assess the associations of age acceleration with risk of and survival from seven common cancers. Seven case-control studies of DNA methylation and colorectal, gastric, kidney, lung, prostate and urothelial cancer and B-cell lymphoma nested in the Melbourne Collaborative Cohort Study were conducted. Cancer cases, vital status and cause of death were ascertained through linkage with cancer and death registries. Conditional logistic regression and Cox models were used to estimate odds ratios (OR) and hazard ratio..

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Awarded by Australian National Health and Medical Research Council (NHMRC)

Awarded by Australian NHMRC

Awarded by NHMRC

Funding Acknowledgements

This work was supported by the Australian National Health and Medical Research Council (NHMRC) [grants 1088405 and 1074383]. MCCS cohort recruitment was funded by VicHealth and Cancer Council Victoria. The MCCS was further supported by Australian NHMRC grants 209057 and 396414 and by infrastructure provided by Cancer Council Victoria. Cases and their vital status were ascertained through the Victorian Cancer Registry (VCR) and the Australian Institute of Health and Welfare (AIHW), including the National Death Index and the Australian Cancer Database. The nested case-control methylation studies were supported by the NHMRC [grants 1011618, 1026892, 1027505, 1050198, 1087683, 1043616]. The funders had no role in the design and conduct of the study; collection, management, analysis and interpretation of the data; preparation, review or approval of the manuscript; and decision to submit the manuscript for publication.