Abstract
BACKGROUND: Growing epidemiological evidence suggests an association between exposure to air pollutants and breast cancer. Yet, the underlying mechanisms remain poorly understood. This study explored the mediating role of thirteen metabolic health biomarkers in the relationship between exposure to three air pollutants, i.e. nitrogen dioxide (NO(2)), polychlorinated biphenyls 153 (PCB153), and benzo[a]pyrene (BaP), and breast cancer risk. METHODS: We used data from a nested case-control study within the French national prospective E3N-Generations cohort, involving 523 breast cancer cases and 523 matched controls. The four-way decomposition mediation of total effects for thirteen biomarkers was applied to estimate interaction and mediation effects (controlled direct, reference interaction, mediated interaction, and pure indirect effects). RESULTS: The analyses indicated a significant increase in breast cancer risk associated with BaP exposure (odds ratio (OR)(Q4 vs Q1) = 2.32, 95% confidence intervals (CI): 1.00-5.37). PCB153 exposure showed a positive association only in the third quartile (OR(Q3 vs Q1) = 2.25, CI 1.13-4.57), but it appeared to be non-significant in the highest quartile (OR(Q4 vs Q1) = 2.07, CI 0.93-4.61). No association was observed between NO(2) exposure and breast cancer risk. Estradiol was associated with an increased risk of breast cancer (OR per one standard deviation (SD) increment = 1.22, CI 1.05-1.42), while thyroid-stimulating hormone was inversely related to breast cancer risk (OR per 1SD increase = 0.87, CI 0.75-1.00). We observed a suggestive mediated effect of the association between the three pollutants and breast cancer risk, through albumin, high-density lipoproteins cholesterol, low-density lipoprotein cholesterol, parathormone, and estradiol. CONCLUSION: Although limited by a lack of statistical power, this study provides relevant insights into the potential mediating role of certain biomarkers in the association between air pollutant exposure and breast cancer risk, highlighting the need for further in-depth studies in large populations.