Ontology highlight
ABSTRACT: Background
Aging is a major risk factor for cancer, but the landscape of biological aging across different cancer types and its interplay with genetic risk remains unclear. This study aims to depict the biological aging profiles in specific cancers across diverse populations and investigate the bidirectional relationship between aging and cancer.Methods
This study included 414,599 participants from the UK Biobank (UKB) and 83,788 participants from the electronic health record database of Hong Kong Hospital Authority (EHR-HK). Multivariable Cox and logistic regression models were used to evaluate associations between biological age acceleration (BioAgeAccel) and site-specific cancers in the UKB and EHR-HK, respectively. In the UKB cohort (n = 387,066), we further computed ca
SUBMITTER: Zhan Y
PROVIDER: S-EPMC12538744 | biostudies-literature | 2025 Oct
REPOSITORIES: biostudies-literature