Statin use and non-melanoma skin cancer risk: A meta-analysis of randomized controlled trials and observational studies

Keming Yang, Andrew Marley, Huilin Tang, Yiqing Song, Jean Y. Tang, Jiali Han

Research output: Contribution to journalArticle

4 Scopus citations


Background: Existing evidence of the association between statin use and nonmelanoma skin cancer (NMSC) risk has been inconsistent. Objective: To maximize statistical power to synthesize prospective evidence on this relationship. Materials and Methods: PubMed, EMBASE, Web of Science, Cochrane Central Register of Controlled Trials, and were systematically searched up to December 11, 2016. A random-effects meta-analysis was conducted to calculate summary estimates. Results: Our meta-analysis of 14 randomized controlled trials (RCTs) including 63,157 subjects showed no significant association between statin use and NMSC risk (RR = 1.09, 95%CI = 0.85-1.39). However, meta-analysis of four observational studies including 1,528,215 participants showed significantly increased risk of NMSC among statin users compared to non-users (RR = 1.11, 95%CI = 1.02-1.22). Furthermore, ever using lipophilic statins (RR = 1.14, 95%CI = 1.04-1.24) or lowerpotency statins (RR = 1.14, 95%CI = 1.03-1.26), as well as usage of any statin longer than one year (RR = 1.14, 95%CI = 1.09-1.18) were significantly associated with increased NMSC risk based on observational studies. Conclusions: Evidence from observational studies supported an association between statin use and increased NMSC risk. This finding should be interpreted with caution due to modest number of included studies, possible between-study heterogeneity and inherent limitations of observational studies.

Original languageEnglish (US)
Pages (from-to)75411-75417
Number of pages7
Issue number43
StatePublished - Jan 1 2017


  • Meta-analysis
  • Non-melanoma skin cancer
  • Statins

ASJC Scopus subject areas

  • Oncology

Fingerprint Dive into the research topics of 'Statin use and non-melanoma skin cancer risk: A meta-analysis of randomized controlled trials and observational studies'. Together they form a unique fingerprint.

  • Cite this