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Air Pollution and Breast Cancer: An Examination of Modification By Underlying Familial Breast Cancer Risk

BACKGROUND: An increased familial risk of breast cancer may be due to both shared genetics and environment. Women with a breast cancer family history may have a higher prevalence of breast cancer–related gene variants and thus increased susceptibility to environmental exposures. We evaluated whether...

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Detalles Bibliográficos
Autores principales: Niehoff, Nicole M., Terry, Mary Beth, Bookwalter, Deborah B., Kaufman, Joel D., O'Brien, Katie M., Sandler, Dale P., White, Alexandra J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for Cancer Research 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8825697/
https://www.ncbi.nlm.nih.gov/pubmed/34906967
http://dx.doi.org/10.1158/1055-9965.EPI-21-1140
Descripción
Sumario:BACKGROUND: An increased familial risk of breast cancer may be due to both shared genetics and environment. Women with a breast cancer family history may have a higher prevalence of breast cancer–related gene variants and thus increased susceptibility to environmental exposures. We evaluated whether air pollutant and breast cancer associations varied by familial risk. METHODS: Sister Study participants living in the contiguous United States at enrollment (2003–2009; N = 48,453), all of whom had at least one first-degree relative with breast cancer, were followed for breast cancer. Annual NO(2) and PM(2.5) concentrations were estimated at the enrollment addresses. We predicted 1-year familial breast cancer risk using the Breast and Ovarian Analysis of Disease Incidence and Carrier Estimation Algorithm (BOADICEA). Using Cox regression, we estimated HRs and 95% confidence intervals (CI) for associations between each pollutant dichotomized at the median and breast cancer with interaction terms to examine modification by BOADICEA score. RESULTS: NO(2) was associated with a higher breast cancer risk among those with BOADICEA score >90th percentile (HR, 1.28; 95% CI, 1.05–1.56) but not among those with BOADICEA score ≤90th percentile (HR, 0.98; 95% CI, 0.90–1.06; P(interaction) = 0.01). In contrast to NO(2), associations between PM(2.5) and breast cancer did not vary between individuals with BOADICEA score >90th percentile and ≤90th percentile (P(interaction) = 0.26). CONCLUSIONS: Our results provide additional evidence that air pollution may be implicated in breast cancer, particularly among women with a higher familial risk. IMPACT: Women at higher underlying breast cancer risk may benefit more from interventions to reduce exposure to NO(2).