4.7 Article

Breast Cancer Risk in Association with Atmospheric Pollution Exposure: A Meta-Analysis of Effect Estimates Followed by a Health Impact Assessment

Journal

ENVIRONMENTAL HEALTH PERSPECTIVES
Volume 129, Issue 5, Pages -

Publisher

US DEPT HEALTH HUMAN SCIENCES PUBLIC HEALTH SCIENCE
DOI: 10.1289/EHP8419

Keywords

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Funding

  1. ARC Foundation for research against cancer as part of the CANC'AIR funding program
  2. French Agency for Food, Environmental and Occupational Health & Safety (Anses) as part of the Aviesan/2014-2019 Cancer Plan

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The study found that approximately 1,677 new breast cancer cases in France each year could be attributed to long-term exposure to NO2, accounting for 3.15% of the incident cases, with estimated tangible and intangible costs of €825 million. The results suggest that reducing long-term exposure to NO2 or correlated air pollutants could lower the risk of breast cancer.
BACKGROUND: The epidemiological literature of associations between atmospheric pollutant exposure and breast cancer incidence has recently strongly evolved. OBJECTIVES: We aimed to perform a) a meta-analysis of studies considering this relationship, correcting for publication bias and taking menopausal status and cancer hormone responsiveness into account; and b) for the pollutants most likely to affect breast cancer, an assessment of the corresponding number of attributable cases in France and of the related economic costs. METHODS: We conducted a literature review and random-effects meta-analyses of epidemiological studies examining the association of fine particulate matter with aerodynamic diameter less than or equal to 2.5 lm (PM2.5), particulate matter with aerodynamic diameter less than or equal to 10 mu m (PM10), and NO2 long-term exposure with breast cancer incidence; additional analyses were stratified on menopausal status and on tumor hormone responsiveness status. The resulting dose-response functions were combined with modeled atmospheric pollutant exposures in 2013 for France, cancer treatments costs, lost productivity, and years of life lost, to estimate the number of breast cancers attributable to atmospheric pollution and related economic costs in France. RESULTS: The review identified 32, 27, and 36 effect estimates for PM2.5, PM10, and NO2, respectively. The meta-analytical relative risk estimates of breast cancer corrected for publication bias were 1.006 [95% confidence interval (CI): 0.941, 1.076], 1.047 (95% CI: 0.984, 1.113), and 1.023 (95% CI: 1.005, 1.041), respectively. NO2 estimated effects appeared higher in premenopausal than in postmenopausal women and higher for hormone responsive positive (ER+/PR+) than negative (ER-/PR-) breast cancers. Assuming a causal effect of NO2, we estimated that 1,677 (95% CI: 374, 2,914) new breast cancer cases were attributable to NO2 annually in France, or 3.15% (95% CI: 0.70, 5.48) of the incident cases. The corresponding tangible and intangible costs were estimated to be (sic)825 million (low, high: 570, 1,080) per year. CONCLUSION: These findings suggest that decreasing long-term NO2 exposure or correlated air pollutant exposures could lower breast cancer risk.

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