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Air Pollution, Clustering of Particulate Matter Components, and Breast Cancer in the Sister Study: A U.S.-Wide Cohort
BACKGROUND: Particulate matter (PM) is a complex mixture. Geographic variations in PM may explain the lack of consistent associations with breast cancer. OBJECTIVE: We aimed to evaluate the relationship between air pollution, PM components, and breast cancer risk in a United States-wide prospective...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Environmental Health Perspectives
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6867190/ https://www.ncbi.nlm.nih.gov/pubmed/31596602 http://dx.doi.org/10.1289/EHP5131 |
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author | White, Alexandra J. Keller, Joshua P. Zhao, Shanshan Carroll, Rachel Kaufman, Joel D. Sandler, Dale P. |
author_facet | White, Alexandra J. Keller, Joshua P. Zhao, Shanshan Carroll, Rachel Kaufman, Joel D. Sandler, Dale P. |
author_sort | White, Alexandra J. |
collection | PubMed |
description | BACKGROUND: Particulate matter (PM) is a complex mixture. Geographic variations in PM may explain the lack of consistent associations with breast cancer. OBJECTIVE: We aimed to evaluate the relationship between air pollution, PM components, and breast cancer risk in a United States-wide prospective cohort. METHODS: We estimated annual average ambient residential levels of particulate matter [Formula: see text] and [Formula: see text] in aerodynamic diameter ([Formula: see text] and [Formula: see text] , respectively) and nitrogen dioxide ([Formula: see text]) using land-use regression for 47,433 Sister Study participants (breast cancer–free women with a sister with breast cancer) living in the contiguous United States. Cox proportional hazards regression was used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for risk associated with an interquartile range (IQR) increase in pollutants. Predictive k-means were used to assign participants to clusters derived from [Formula: see text] component profiles to evaluate the impact of heterogeneity in the [Formula: see text] mixture. For [Formula: see text] , we investigated effect measure modification by component cluster membership and by geographic region without regard to air pollution mixture. RESULTS: During follow-up ([Formula: see text]), 2,225 invasive and 623 ductal carcinoma in situ (DCIS) cases were identified. [Formula: see text] and [Formula: see text] were associated with breast cancer overall [[Formula: see text] (95% CI:0.99, 1.11) and 1.06 (95% CI:1.02, 1.11), respectively] and with DCIS but not with invasive cancer. Invasive breast cancer was associated with [Formula: see text] only in the Western United States [[Formula: see text] (95% CI:1.02, 1.27)] and [Formula: see text] only in the Southern United States [[Formula: see text] (95% CI:1.01, 1.33)]. [Formula: see text] was associated with a higher risk of invasive breast cancer among two of seven identified composition-based clusters. A higher risk was observed [[Formula: see text] (95% CI: 0.97, 1.60)] in a California-based cluster characterized by low S and high Na and nitrate ([Formula: see text]) fractions and for another Western United States cluster [[Formula: see text] (95% CI: 0.90, 2.85)], characterized by high fractions of Si, Ca, K, and Al. CONCLUSION: Air pollution measures were related to both invasive breast cancer and DCIS within certain geographic regions and PM component clusters. https://doi.org/10.1289/EHP5131 |
format | Online Article Text |
id | pubmed-6867190 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Environmental Health Perspectives |
record_format | MEDLINE/PubMed |
spelling | pubmed-68671902019-11-25 Air Pollution, Clustering of Particulate Matter Components, and Breast Cancer in the Sister Study: A U.S.-Wide Cohort White, Alexandra J. Keller, Joshua P. Zhao, Shanshan Carroll, Rachel Kaufman, Joel D. Sandler, Dale P. Environ Health Perspect Research BACKGROUND: Particulate matter (PM) is a complex mixture. Geographic variations in PM may explain the lack of consistent associations with breast cancer. OBJECTIVE: We aimed to evaluate the relationship between air pollution, PM components, and breast cancer risk in a United States-wide prospective cohort. METHODS: We estimated annual average ambient residential levels of particulate matter [Formula: see text] and [Formula: see text] in aerodynamic diameter ([Formula: see text] and [Formula: see text] , respectively) and nitrogen dioxide ([Formula: see text]) using land-use regression for 47,433 Sister Study participants (breast cancer–free women with a sister with breast cancer) living in the contiguous United States. Cox proportional hazards regression was used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for risk associated with an interquartile range (IQR) increase in pollutants. Predictive k-means were used to assign participants to clusters derived from [Formula: see text] component profiles to evaluate the impact of heterogeneity in the [Formula: see text] mixture. For [Formula: see text] , we investigated effect measure modification by component cluster membership and by geographic region without regard to air pollution mixture. RESULTS: During follow-up ([Formula: see text]), 2,225 invasive and 623 ductal carcinoma in situ (DCIS) cases were identified. [Formula: see text] and [Formula: see text] were associated with breast cancer overall [[Formula: see text] (95% CI:0.99, 1.11) and 1.06 (95% CI:1.02, 1.11), respectively] and with DCIS but not with invasive cancer. Invasive breast cancer was associated with [Formula: see text] only in the Western United States [[Formula: see text] (95% CI:1.02, 1.27)] and [Formula: see text] only in the Southern United States [[Formula: see text] (95% CI:1.01, 1.33)]. [Formula: see text] was associated with a higher risk of invasive breast cancer among two of seven identified composition-based clusters. A higher risk was observed [[Formula: see text] (95% CI: 0.97, 1.60)] in a California-based cluster characterized by low S and high Na and nitrate ([Formula: see text]) fractions and for another Western United States cluster [[Formula: see text] (95% CI: 0.90, 2.85)], characterized by high fractions of Si, Ca, K, and Al. CONCLUSION: Air pollution measures were related to both invasive breast cancer and DCIS within certain geographic regions and PM component clusters. https://doi.org/10.1289/EHP5131 Environmental Health Perspectives 2019-10-09 /pmc/articles/PMC6867190/ /pubmed/31596602 http://dx.doi.org/10.1289/EHP5131 Text en EHP is an open-access journal published with support from the National Institute of Environmental Health Sciences, National Institutes of Health. All content is public domain unless otherwise noted. |
spellingShingle | Research White, Alexandra J. Keller, Joshua P. Zhao, Shanshan Carroll, Rachel Kaufman, Joel D. Sandler, Dale P. Air Pollution, Clustering of Particulate Matter Components, and Breast Cancer in the Sister Study: A U.S.-Wide Cohort |
title | Air Pollution, Clustering of Particulate Matter Components, and Breast Cancer in the Sister Study: A U.S.-Wide Cohort |
title_full | Air Pollution, Clustering of Particulate Matter Components, and Breast Cancer in the Sister Study: A U.S.-Wide Cohort |
title_fullStr | Air Pollution, Clustering of Particulate Matter Components, and Breast Cancer in the Sister Study: A U.S.-Wide Cohort |
title_full_unstemmed | Air Pollution, Clustering of Particulate Matter Components, and Breast Cancer in the Sister Study: A U.S.-Wide Cohort |
title_short | Air Pollution, Clustering of Particulate Matter Components, and Breast Cancer in the Sister Study: A U.S.-Wide Cohort |
title_sort | air pollution, clustering of particulate matter components, and breast cancer in the sister study: a u.s.-wide cohort |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6867190/ https://www.ncbi.nlm.nih.gov/pubmed/31596602 http://dx.doi.org/10.1289/EHP5131 |
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