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Dataset Information

Profile of biological aging in first primary cancers: a pan-cancer analysis of two large-scale cohorts from the UK and Hong Kong.


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