Quantitative assessment of lung and bladder cancer risk and oral exposure to inorganic arsenic: Meta-regression analyses of epidemiological data
- PMID: 28625818
- DOI: 10.1016/j.envint.2017.04.008
Quantitative assessment of lung and bladder cancer risk and oral exposure to inorganic arsenic: Meta-regression analyses of epidemiological data
Erratum in
-
Corrigendum to "Quantitative assessment of lung and bladder cancer risk and oral exposure to inorganic arsenic: Meta-regression analyses of epidemiological data" Environmental International 106 :178-206.Environ Int. 2017 Dec;109:195-196. doi: 10.1016/j.envint.2017.10.004. Environ Int. 2017. PMID: 29078863 No abstract available.
Abstract
Inorganic arsenic (iAs) in drinking water varies geographically and is prevalent worldwide. While exposures in the US are generally low, there are some areas with higher levels of naturally occurring iAs (potentially >100μg/L) where residents rely on unregulated drinking water wells. Much of the evidence on the association between iAs and cancer comes from epidemiological studies conducted in South American and Asian populations. These populations have generally been exposed to much higher levels of iAs and have differing underlying characteristics, both of which make comparing them to Western populations difficult. A key question is whether and how one should extrapolate from these high exposure studies to estimate cancer risk at lower exposures. We conducted an independent analysis to determine the most appropriate cancer endpoints, studies, and models to support an oral carcinogenicity assessment of iAs, taking into consideration factors that affect the apparent potency of iAs across geographically and culturally distinct populations. We identified bladder and lung cancer as high-priority endpoints and used meta-regression to pool data across studies from different regions of the world to derive oral cancer slope factors (CSFs) and unit risks (excess risk per μg/L) for iAs based on the background risks of bladder and lung cancer in the US. We also calculated concentrations of iAs in water that are not likely to result in cancer risk above what is considered acceptable by the United States Environmental Protection Agency (US EPA). While we derived these factors assuming a linear, no-threshold relationship between iAs and cancer risk, we also evaluated the shape of the dose-response curves and assessed the evidence for overall nonlinearity. Overall, we found that the incremental risks of bladder and lung cancer associated with iAs were relatively low. The sensitivity analyses we conducted suggested that populations with relatively high iAs exposures appeared to drive the pooled cancer risk estimates, but many of our other tested assumptions did not substantially alter these estimates. Finally, we found that the mode of action evidence supports there being a threshold, but making a robust quantitative demonstration of a threshold using epidemiological data is difficult. When considered in the context of typical exposure levels in the US, our potency estimates indicate that iAs-induced cancer risk is much lower than observed bladder and lung cancer incidences. This suggests that the low iAs levels to which much of the general US population is exposed likely do not result in substantial additional cancer risk.
Keywords: Bladder cancer; Cancer slope factor; Dose-response; Inorganic arsenic; Lung cancer; Meta-regression.
Copyright © 2017 Elsevier Ltd. All rights reserved.
Comment in
-
Letter to the editor, re: Lynch et al., 2017.Environ Int. 2018 Feb;111:316. doi: 10.1016/j.envint.2017.10.027. Epub 2017 Nov 10. Environ Int. 2018. PMID: 29132709 No abstract available.
Similar articles
-
Bayesian benchmark dose analysis for inorganic arsenic in drinking water associated with bladder and lung cancer using epidemiological data.Toxicology. 2021 May 15;455:152752. doi: 10.1016/j.tox.2021.152752. Epub 2021 Mar 16. Toxicology. 2021. PMID: 33741492
-
Arsenic exposure and bladder cancer: quantitative assessment of studies in human populations to detect risks at low doses.Toxicology. 2014 Mar 20;317:17-30. doi: 10.1016/j.tox.2014.01.004. Epub 2014 Jan 21. Toxicology. 2014. PMID: 24462659 Review.
-
Relationships between arsenic concentrations in drinking water and lung and bladder cancer incidence in U.S. counties.J Expo Sci Environ Epidemiol. 2017 May;27(3):235-243. doi: 10.1038/jes.2016.58. Epub 2016 Nov 30. J Expo Sci Environ Epidemiol. 2017. PMID: 27901016
-
Evaluation of the carcinogenicity of inorganic arsenic.Crit Rev Toxicol. 2013 Oct;43(9):711-52. doi: 10.3109/10408444.2013.827152. Crit Rev Toxicol. 2013. PMID: 24040994 Review.
-
Low-dose risk assessment for arsenic: a meta-analysis approach.Asia Pac J Public Health. 2015 Mar;27(2):NP20-35. doi: 10.1177/1010539512466568. Epub 2012 Nov 27. Asia Pac J Public Health. 2015. PMID: 23188879
Cited by
-
Benchmark dose modeling for epidemiological dose-response assessment using case-control studies.Risk Anal. 2025 Jun;45(6):1386-1398. doi: 10.1111/risa.17671. Epub 2024 Nov 3. Risk Anal. 2025. PMID: 39489609 Free PMC article.
-
Low-Level Exposure to Arsenic in Drinking Water and Risk of Lung and Bladder Cancer: A Systematic Review and Dose-Response Meta-Analysis.Dose Response. 2019 Jul 22;17(3):1559325819863634. doi: 10.1177/1559325819863634. eCollection 2019 Jul-Sep. Dose Response. 2019. PMID: 31384239 Free PMC article.
-
State of the science review of the health effects of inorganic arsenic: Perspectives for future research.Environ Toxicol. 2019 Feb;34(2):188-202. doi: 10.1002/tox.22673. Epub 2018 Dec 4. Environ Toxicol. 2019. PMID: 30511785 Free PMC article. Review.
-
Particulate arsenic trioxide induces higher DNA damage and reactive oxygen species than soluble arsenite in lung epithelial cells.Toxicol Appl Pharmacol. 2022 Dec 15;457:116320. doi: 10.1016/j.taap.2022.116320. Epub 2022 Nov 17. Toxicol Appl Pharmacol. 2022. PMID: 36403797 Free PMC article.
-
Source dynamics and environmental risk of street dust as a vector of human exposure to potentially toxic elements in Istanbul, Türkiye.Sci Rep. 2025 Aug 20;15(1):30550. doi: 10.1038/s41598-025-11472-2. Sci Rep. 2025. PMID: 40835637 Free PMC article.
Publication types
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical
Research Materials