An approach to estimating the environmental burden of cancer from known and probable carcinogens: application to Ontario, Canada

• Published in: BMC public health 2020-06, Vol.20 (1), p.1-13, Article 1017
• Main Authors: Greco, Susan Lavinia, MacIntyre, Elaina, Young, Stephanie, Warden, Hunter, Drudge, Christopher, Kim, JinHee, Candido, Elisa, Demers, Paul, Copes, Ray
• Format: Article
• Language: English
• Subjects: Acrylamide; Air pollution; Arsenic; Asbestos; Burden of cancer; Burden of disease; Cancer; Cancer research; Carcinogen; Carcinogens; Chromium; Computer simulation; Decision making; Development and progression; Diesel engines; Dioxins; Drinking water; Dust; Environment; Environmental assessment; Environmental protection; Estimates; Exhaust emissions; Exposure; Formaldehyde; Health risk assessment; Health risks; Hydrocarbons; Ingestion; Inhalation; Monte Carlo methods; Monte Carlo simulation; Particulate matter; Passive smoking; Pollutants; Population; Population health; Population studies; Probabilistic methods; Probabilistic modeling; Public health; Radiation (Physics); Radiation effects; Radon; Respiration; Response functions; Risk assessment; Smoking; Studies; Tobacco; Ultraviolet radiation
• ISSN: 1471-2458; 1471-2458
• DOI: 10.1186/s12889-020-08771-w

Background Quantifying the potential cancer cases associated with environmental carcinogen exposure can help inform efforts to improve population health. This study developed an approach to estimate the environmental burden of cancer and applied it to Ontario, Canada. The purpose was to identify environmental carcinogens with the greatest impact on cancer burden to support evidence-based decision making. Methods We conducted a probabilistic assessment of the environmental burden of cancer in Ontario. We selected 23 carcinogens that we defined as "environmental" (e.g., pollutants) and were relevant to the province, based on select classifications provided by the International Agency for Research on Cancer. We evaluated population exposure to the carcinogens through inhalation of indoor/outdoor air; ingestion of food, water, and dust; and exposure to radiation. We obtained or calculated concentration-response functions relating carcinogen exposure and the risk of developing cancer. Using both human health risk assessment and population attributable fraction models in a Monte Carlo simulation, we estimated the annual cancer cases associated with each environmental carcinogen, reporting the simulation summary (e.g., mean and percentiles). Results We estimated between 3540 and 6510 annual cancer cases attributable to exposure to 23 environmental carcinogens in Ontario. Three carcinogens were responsible for over 90% of the environmental burden of cancer: solar ultraviolet (UV) radiation, radon in homes, and fine particulate matter (PM.sub.2.5) in outdoor air. Eight other carcinogens had an estimated mean burden of at least 10 annual cancer cases: acrylamide, arsenic, asbestos, chromium, diesel engine exhaust particulate matter, dioxins, formaldehyde, and second-hand smoke. The remaining 12 carcinogens had an estimated mean burden of less than 10 annual cancer cases in Ontario. Conclusions We found the environmental burden of cancer in Ontario to fall between previously estimated burdens of alcohol and tobacco use. These results allow for a comparative assessment across carcinogens and offer insights into strategies to reduce the environmental burden of cancer. Our analysis could be adopted by other jurisdictions and repeated in the future for Ontario to track progress in reducing cancer burden, assess newly classified environmental carcinogens, and identify top burden contributors. Keywords: Carcinogen, Environment, Cancer, Burden of disease, Burden of cancer,