TY - JOUR
T1 - Multiple xenoestrogen air pollutants and breast cancer risk
T2 - Statistical approaches to investigate combined exposures effect
AU - Amadou, Amina
AU - Giampiccolo, Camille
AU - Bibi Ngaleu, Fabiola
AU - Praud, Delphine
AU - Coudon, Thomas
AU - Grassot, Lény
AU - Faure, Elodie
AU - Couvidat, Florian
AU - Frenoy, Pauline
AU - Severi, Gianluca
AU - Romana Mancini, Francesca
AU - Roy, Pascal
AU - Fervers, Béatrice
N1 - Publisher Copyright:
© 2024
PY - 2024/6/15
Y1 - 2024/6/15
N2 - Studies suggested that exposure to air pollutants, with endocrine disrupting (ED) properties, have a key role in breast cancer (BC) development. Although the population is exposed simultaneously to a mixture of multiple pollutants and ED pollutants may act via common biological mechanisms leading to synergic effects, epidemiological studies generally evaluate the effect of each pollutant separately. We aimed to assess the complex effect of exposure to a mixture of four xenoestrogen air pollutants (benzo-[a]-pyrene (BaP), cadmium, dioxin (2,3,7,8-Tétrachlorodibenzo-p-dioxin TCDD)), and polychlorinated biphenyl 153 (PCB153)) on the risk of BC, using three recent statistical methods, namely weighted quantile sum (WQS), quantile g-computation (QGC) and Bayesian kernel machine regression (BKMR). The study was conducted on 5222 cases and 5222 matched controls nested within the French prospective E3N cohort initiated in 1990. Annual average exposure estimates to the pollutants were assessed using a chemistry transport model, at the participants’ residence address between 1990 and 2011. We found a positive association between the WQS index of the joint effect and the risk of overall BC (adjusted odds ratio (OR) = 1.10, 95% confidence intervals (CI): 1.03–1.19). Similar results were found for QGC (OR = 1.11, 95%CI: 1.03–1.19). Despite the association did not reach statistical significance in the BKMR model, we observed an increasing trend between the joint effect of the four pollutants and the risk of BC, when fixing other chemicals at their median concentrations. BaP, cadmium and PCB153 also showed positive trends in the multi-pollutant mixture, while dioxin showed a modest inverse trend. Despite we found a clear evidence of a positive association between the joint exposure to pollutants and BC risk only from WQS and QGC regression, we observed a similar suggestive trend using BKMR. This study makes a major contribution to the understanding of the joint effects of air pollution.
AB - Studies suggested that exposure to air pollutants, with endocrine disrupting (ED) properties, have a key role in breast cancer (BC) development. Although the population is exposed simultaneously to a mixture of multiple pollutants and ED pollutants may act via common biological mechanisms leading to synergic effects, epidemiological studies generally evaluate the effect of each pollutant separately. We aimed to assess the complex effect of exposure to a mixture of four xenoestrogen air pollutants (benzo-[a]-pyrene (BaP), cadmium, dioxin (2,3,7,8-Tétrachlorodibenzo-p-dioxin TCDD)), and polychlorinated biphenyl 153 (PCB153)) on the risk of BC, using three recent statistical methods, namely weighted quantile sum (WQS), quantile g-computation (QGC) and Bayesian kernel machine regression (BKMR). The study was conducted on 5222 cases and 5222 matched controls nested within the French prospective E3N cohort initiated in 1990. Annual average exposure estimates to the pollutants were assessed using a chemistry transport model, at the participants’ residence address between 1990 and 2011. We found a positive association between the WQS index of the joint effect and the risk of overall BC (adjusted odds ratio (OR) = 1.10, 95% confidence intervals (CI): 1.03–1.19). Similar results were found for QGC (OR = 1.11, 95%CI: 1.03–1.19). Despite the association did not reach statistical significance in the BKMR model, we observed an increasing trend between the joint effect of the four pollutants and the risk of BC, when fixing other chemicals at their median concentrations. BaP, cadmium and PCB153 also showed positive trends in the multi-pollutant mixture, while dioxin showed a modest inverse trend. Despite we found a clear evidence of a positive association between the joint exposure to pollutants and BC risk only from WQS and QGC regression, we observed a similar suggestive trend using BKMR. This study makes a major contribution to the understanding of the joint effects of air pollution.
KW - Air pollution
KW - Bayesian kernel machine regression (BKMR)
KW - Breast cancer
KW - Multiple exposure
KW - Weighted quantile sum (WQS) regression
KW - Xenoestrogen
UR - http://www.scopus.com/inward/record.url?scp=85191962684&partnerID=8YFLogxK
U2 - 10.1016/j.envpol.2024.124043
DO - 10.1016/j.envpol.2024.124043
M3 - Article
C2 - 38679129
AN - SCOPUS:85191962684
SN - 0269-7491
VL - 351
JO - Environmental Pollution
JF - Environmental Pollution
M1 - 124043
ER -