Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: White, Alexandra J., Keller, Joshua P., Zhao, Shanshan, Carroll, Rachel, Kaufman, Joel D., Sandler, Dale P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Environmental Health Perspectives 2019
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
_version_ 1783472098885238784
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
work_keys_str_mv AT whitealexandraj airpollutionclusteringofparticulatemattercomponentsandbreastcancerinthesisterstudyauswidecohort
AT kellerjoshuap airpollutionclusteringofparticulatemattercomponentsandbreastcancerinthesisterstudyauswidecohort
AT zhaoshanshan airpollutionclusteringofparticulatemattercomponentsandbreastcancerinthesisterstudyauswidecohort
AT carrollrachel airpollutionclusteringofparticulatemattercomponentsandbreastcancerinthesisterstudyauswidecohort
AT kaufmanjoeld airpollutionclusteringofparticulatemattercomponentsandbreastcancerinthesisterstudyauswidecohort
AT sandlerdalep airpollutionclusteringofparticulatemattercomponentsandbreastcancerinthesisterstudyauswidecohort