Age at type 2 diabetes diagnosis and risk of cancer: Cohort study in over 1 million individuals from the TriNetX US Collaborative Network
Year: 2025
Type: article
Study design: Observational Study
Abstract: AIMS: To investigate whether the association between type 2 diabetes diagnosis and relative and absolute risk of obesity-related cancers differs based on age at diabetes diagnosis. METHODS: This retrospective, observational cohort study used data from the US Collaborative Network within the TriNetX database. Individuals with type 2 diabetes were propensity matched - for age, sex, and ethnicity - to individuals without type 2 diabetes. Crude 5-year risks of obesity-related cancer were calculated. Cox proportional-hazards models were used to assess relative rates of obesity-related cancer incidence over five years, comparing individuals with type 2 diabetes in younger (aged ≤40 years; n = 162,691) and middle-older age (aged >40 years; n = 1,616,950), with propensity-matched cohorts without type 2 diabetes. RESULTS: Absolute risk of developing cancer was greater in individuals with versus without type 2 diabetes. Relative rates of any cancer were greater in younger (HR: 2·01 [95 % CI: 1·85, 2·19]) than middle-older age adults (1·49 [1·48, 1·51]). The highest relative rates in younger adults were observed for corpus uteri (HR: 4·76 [3·51, 6·46]) and pancreatic cancer (4·25 [2·34, 7·72]). Corresponding HRs in middle-older age adults were 1·92 (1·84, 2·01) and 1·75 (1·68, 1·83). CONCLUSIONS: The five-year risk of cancer was higher in those with newly diagnosed type 2 diabetes versus those without. Absolute risk was greater in middle-older age adults, although relative rates were greater amongst younger adults. This persisted across most site-specific cancers, suggesting targeted strategies for early detection and prevention may help younger adults with newly-diagnosed type 2 diabetes reduce lifetime disease burden.
Institutions: University of Leicester, Leicester General Hospital, NIHR Leicester Biomedical Research Centre, TriNetX (United States), National Institute for Health and Care Research, University Hospitals of Leicester NHS Trust, Leicester Royal Infirmary, Chinese University of Hong Kong, Prince of Wales Hospital, Royal College of Surgeons in Ireland, Imperial College London
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: hybrid
Estimated APC paid: $3,760
OpenAlex ID: W4416029055
