PMID- 31491608 OWN - NLM STAT- MEDLINE DCOM- 20200225 LR - 20200225 IS - 1873-6750 (Electronic) IS - 0160-4120 (Linking) VI - 132 DP - 2019 Nov TI - Association between serum heavy metals and prostate cancer risk - A multiple metal analysis. PG - 105109 LID - S0160-4120(19)31095-5 [pii] LID - 10.1016/j.envint.2019.105109 [doi] AB - BACKGROUND: Prostate cancer is one of the most prevalent cancers in men. Exposure to heavy metals and their association with prostate cancer risk has been studied extensively, but combined effects remain largely inconclusive. OBJECTIVES: To elucidate the association between serum concentrations of heavy metals and prostate cancer risk. METHODS: Inductively coupled plasma mass spectrometry (ICP-MS) was used to determine the concentrations of a panel of 10 heavy metals (Mn, Cu, Zn, As, Se, Sb, Co, Cu, Cd and Pb) in serum samples of 141 cases and 114 controls in the Singapore Prostate Cancer Study. Linear probit regression models were used to estimate risk differences (RDs) and 95% confidence intervals (CIs) for the associations between log-centered serum metal concentrations and prostate cancer risk with adjustment for potential confounders. Bayesian kernel machine regression (BKMR) models were used to account for nonlinear, interactive, and joint metal effects. RESULTS: Using probit regression, four heavy metals (As, Zn, Mn, Sb) were significantly and positively associated with prostate cancer risk in the unadjusted models. Using BKMR analysis, both As and Zn had positive risk differences on prostate cancer risk when all other metals were held fixed at the 25th and 50th percentiles (RD, 25th percentile: As: 0.15, Zn: 0.19, RD, 50th percentile: As: 0.45, Zn: 0.37). In addition, the overall mixture risk difference was positive and the 95% credible intervals did not include 0 when all metals in the mixture were jointly above their 55th percentile, as compared to when all metals were below their median values. CONCLUSIONS: In summary, we found positive associations between the serum levels of As and Zn and prostate cancer risk on the risk difference scale using BKMR models. The overall mixture effect was also associated with increased prostate cancer risk. Future studies are warranted to validate these findings in prospective studies. CI - Copyright (c) 2019 The Authors. Published by Elsevier Ltd.. All rights reserved. FAU - Lim, Jue Tao AU - Lim JT AD - Saw Swee Hock School of Public Health, National University of Singapore, National University Health System, Singapore. FAU - Tan, Yue Qian AU - Tan YQ AD - Saw Swee Hock School of Public Health, National University of Singapore, National University Health System, Singapore. FAU - Valeri, Linda AU - Valeri L AD - Department of Biostatistics, Columbia University Mailman School of Public Health, New York, NY, USA. FAU - Lee, Jingyi AU - Lee J AD - NUS Environmental Research Institute, National University of Singapore, Singapore. FAU - Geok, Per Poh AU - Geok PP AD - NUS Environmental Research Institute, National University of Singapore, Singapore. FAU - Chia, Sin Eng AU - Chia SE AD - Saw Swee Hock School of Public Health, National University of Singapore, National University Health System, Singapore; Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, National University Health System, Singapore. FAU - Ong, Choon Nam AU - Ong CN AD - Saw Swee Hock School of Public Health, National University of Singapore, National University Health System, Singapore; NUS Environmental Research Institute, National University of Singapore, Singapore. FAU - Seow, Wei Jie AU - Seow WJ AD - Saw Swee Hock School of Public Health, National University of Singapore, National University Health System, Singapore; Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, National University Health System, Singapore. Electronic address: ephswj@nus.edu.sg. LA - eng PT - Journal Article PT - Research Support, Non-U.S. Gov't DEP - 20190903 PL - Netherlands TA - Environ Int JT - Environment international JID - 7807270 RN - 0 (Metals, Heavy) RN - H6241UJ22B (Selenium) RN - N712M78A8G (Arsenic) SB - IM MH - Aged MH - Arsenic/*blood MH - Bayes Theorem MH - Biological Monitoring/statistics & numerical data MH - Humans MH - Male MH - Metals, Heavy/*blood MH - Middle Aged MH - Prostatic Neoplasms/*epidemiology MH - Risk Factors MH - Selenium/*blood MH - Singapore OTO - NOTNLM OT - Combined effects OT - Heavy metals OT - Joint exposure OT - Mixtures OT - Prostate cancer EDAT- 2019/09/07 06:00 MHDA- 2020/02/26 06:00 CRDT- 2019/09/07 06:00 PHST- 2019/04/03 00:00 [received] PHST- 2019/07/30 00:00 [revised] PHST- 2019/08/19 00:00 [accepted] PHST- 2019/09/07 06:00 [pubmed] PHST- 2020/02/26 06:00 [medline] PHST- 2019/09/07 06:00 [entrez] AID - S0160-4120(19)31095-5 [pii] AID - 10.1016/j.envint.2019.105109 [doi] PST - ppublish SO - Environ Int. 2019 Nov;132:105109. doi: 10.1016/j.envint.2019.105109. Epub 2019 Sep 3.