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Commonly used medications and endometrial cancer survival: A population-based cohort study

Lookup NU author(s): Professor Linda Sharp



This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0).


© 2017 Cancer Research UK. Background:Increasing incidence and new indications for existing drugs make it important to identify new adjuvant therapies for endometrial cancer (EC).Methods:This is a prospective cohort study of 3058 newly diagnosed EC cases from 1998 to 2010, identified through record linkages between the UK Clinical Practice Research Datalink, the National Cancer Research Datalink and death registrations from the Office of National Statistics. Using Cox regression models, unadjusted and adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated for EC-specific survival.Results:Over a mean 6.1 (range 1-16) years of follow-up, there were 394 EC-specific deaths. There was no evidence of a significant association between post-diagnostic use of statins (adjusted HR 0.83, 95% CI 0.64, 1.08), β-blockers (adjusted HR 0.86, 95% CI 0.65, 1.13) or low-dose aspirin (adjusted HR 0.91, 95% CI 0.69, 1.20) and EC survival before or after adjustment for confounders. There were also no evidence of a dose-response association between these drug groups and EC survival.Conclusions:In this large UK population-based study, no significant associations were observed for post-diagnostic use of statins, β-blockers or low-dose aspirin and EC survival.

Publication metadata

Author(s): Sanni OB, Mc Menamin UC, Cardwell CR, Sharp L, Murray LJ, Coleman HG

Publication type: Article

Publication status: Published

Journal: British Journal of Cancer

Year: 2017

Volume: 117

Issue: 3

Pages: 432-438

Print publication date: 25/07/2017

Online publication date: 06/07/2017

Acceptance date: 09/06/2017

Date deposited: 27/01/2021

ISSN (print): 0007-0920

ISSN (electronic): 1532-1827

Publisher: Nature Publishing Group


DOI: 10.1038/bjc.2017.207

PubMed id: 28683466


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