| Title: | Clinical biomarker-based biological aging and risk of cancer in the UK Biobank |
| Journal: | British Journal of Cancer |
| Published: | 29 Apr 2023 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/37120669/ |
| DOI: | https://doi.org/10.1038/s41416-023-02288-w |
| URL: | https://www.nature.com/articles/s41416-023-02288-w.pdf |
| Citations: | 35 (35 in last 2 years) as of 8 Aug 2024 |
Publication 11390
WARNING: the interactive features of this website use CSS3, which your browser does not support. To use the full features of this website, please update your browser.
Abstract
BackgroundDespite a clear link between aging and cancer, there has been inconclusive evidence on how biological age (BA) may be associated with cancer incidence.MethodsWe studied 308,156 UK Biobank participants with no history of cancer at enrolment. Using 18 age-associated clinical biomarkers, we computed three BA measures (Klemera-Doubal method [KDM], PhenoAge, homeostatic dysregulation [HD]) and assessed their associations with incidence of any cancer and five common cancers (breast, prostate, lung, colorectal, and melanoma) using Cox proportional-hazards models.ResultsA total of 35,426 incident cancers were documented during a median follow-up of 10.9 years. Adjusting for common cancer risk factors, 1-standard deviation (SD) increment in the age-adjusted KDM (hazard ratio = 1.04, 95% confidence interval = 1.03-1.05), age-adjusted PhenoAge (1.09, 1.07-1.10), and HD (1.02, 1.01-1.03) was significantly associated with a higher risk of any cancer. All BA measures were also associated with increased risks of lung and colorectal cancers, but only PhenoAge was associated with breast cancer risk. Furthermore, we observed an inverse association between BA measures and prostate cancer, although it was attenuated after removing glycated hemoglobin and serum glucose from the BA algorithms.ConclusionsAdvanced BA quantified by clinical biomarkers is associated with increased risks of any cancer, lung cancer, and colorectal cancer.</p>
7 Authors
- Jonathan K. L. Mak
- Christopher E. McMurran
- Ralf Kuja-Halkola
- Per Hall
- Kamila Czene
- Juulia Jylhävä
- Sara Hägg
1 Application
| Application ID | Title |
|---|---|
| 22224 | Prospective studies of ageing and age-related diseases |
Enabling scientific discoveries that improve human health