Diabetes, metabolic syndrome and prostate cancer risk: Results from the EPICAP case-control study. (December 2022)

• Record Type: Journal Article
• Authors: Lavalette, Céline; Cordina-Duverger, Emilie; Rébillard, Xavier; Lamy, Pierre-Jean; Trétarre, Brigitte; Cénée, Sylvie; Menegaux, Florence
• Is Part Of: Cancer epidemiology. Volume 81(2022)
• Publication Date: 2022-12
• Subjects: AHA/NHLBI American Heart Association/National Heart, Lung, and Blood Institute -- CI Confidence Interval -- EPICAP EPIdemiology of Prostate CAncer -- HDL High-Density Lipoprotein -- IDF International Diabetes Federation -- IGF Insulin-like Growth Factor -- MetS Metabolic Syndrome -- NCEP-ATP III National Cholesterol Education Program Adult Treatment Panel III -- NSAIDs Non-Steroidal Anti-Inflammatory Drugs -- OR Odds Ratio -- PCa Prostate Cancer -- SES Socioeconomic Status; Prostate cancer -- Case-control study -- Diabetes -- Metabolic syndrome -- NCEP-ATP III; Cancer -- Epidemiology -- Periodicals; Cancer -- Prevention -- Periodicals; Cancer -- Diagnosis -- Periodicals; Carcinogenesis -- Periodicals; 616.994005
• DOI: 10.1016/j.canep.2022.102281
• Languages: English
• ISSNs: 1877-7821

Abstract

Abstract: Background: Diabetes may be associated with decreased prostate cancer (PCa) risk. However, previous studies have not always accounted for time since diabetes diagnosis or antidiabetic drug use. Futhermore, the role of metabolic syndrome (MetS) in PCa risk is still debated. We investigated the role of diabetes and MetS in PCa risk based on data from the Epidemiological study of PCa (EPICAP). Methods: EPICAP is a population-based case-control study that included 819 incident PCa cases in 2012–2013 and 879 controls frequency matched by age. MetS was characterized according to National Cholesterol Education Program Adult Treatment Panel III (NCEP-ATP III). Logistic regression models adjusted for age, family history of PCa and ethnicity, were used to assess odds ratios (ORs) and their 95%conficence intervals (CIs) for the associations between diabetes, MetS and PCa risk. Results: Whereas we did not observed an association between diabetes and PCa, a decreased risk of PCa has been highlighted with an increasing treated diabetes duration (p-trend=0.008). No association has been observed between MetS, the number of MetS criteria and the risk of PCa. However, we suggested that NSAIDs use could modify the association between MetS and PCa risk. Conclusion: Our results suggest an inverse association between the duration of diabetes and PCa risk. The role of metabolic factors, such as MetS and its components, in PCa risk remains unclear and requires further investigations.