Prospective association between dietary pesticide exposure profiles and postmenopausal breast-cancer risk in the NutriNet-Santé cohort

• DOI: 10.1093/ije/dyab015
• Publication Date: 2021-01-27T20:09:59Z
• Authors: Pauline Rebouillat; Rodolphe Vidal; Jean-Pierre Cravedi; Bruno Taupier-Letage; Laurent Debrauwer; Laurence Gamet-Pa...; Mathilde Touvier; Mélanie Deschasau...; Paule Latino-Martel; Serge Hercberg; Denis Lairon; Julia Baudry; Emmanuelle Kesse-...
• Keywords: Male; [SDV]Life Sciences [q-bio]; 610; environmental health; Breast Neoplasms; Dietary exposure; Dietary Exposure; 03 medical and health sciences; breast cancer; 0302 clinical medicine; organic farming; Risk Factors; Humans; Prospective Studies; Pesticides; 2. Zero hunger; pesticides; 3. Good health; [SDV] Life Sciences [q-bio]; [SDV.TOX] Life Sciences [q-bio]/Toxicology; Postmenopause; [SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie; [SDV.TOX]Life Sciences [q-bio]/Toxicology; [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie; epidemiology; Female

Abstract Background Some pesticides, used in large quantities current agricultural practices all over Europe, are suspected of adverse effects on human reproductive health (breast and prostate cancers), through mechanisms endocrine disruption possible carcinogenic properties, as observed settings. However, evidence dietary pesticide exposure breast cancer (BC) is lacking for the general population. We aimed to assess associations between pesticides BC risk among postmenopausal women NutriNet-Santé cohort. Methods In 2014, participants completed a self-administered semi-quantitative food-frequency questionnaire distinguishing conventional organic foods. Exposures 25 active substances EU plant-protection products were estimated using pesticide-residue database accounting farming practices, from Chemisches und Veterinäruntersuchungsamt Stuttgart, Germany. Non-negative matrix factorization (NMF), adapted data with excess zeros, was establish profiles. The four extracted NMF components’ quintiles introduced into Cox models estimating hazard ratio (HR) 95% confidence interval (95% CI), adjusted known confounding factors. Results A total 13 149 included analysis (169 cases, median follow-up = 4.83 years). Negative Component 3, reflecting low synthetic found [HRQ5 0.57; CI (0.34; 0.93), p-trend 0.006]. Positive association 1 score (highly correlated chlorpyrifos, imazalil, malathion, thiabendazole) specifically overweight obese 4.13; (1.50; 11.44), No detected other components. Conclusion These suggest potential role risk. Further research needed investigate confirm these results populations.