Air pollution, clustering of particulate matter components, and breast cancer in the sister study: A U.S.-wide cohort

82Citations
Citations of this article
99Readers
Mendeley users who have this article in their library.

Abstract

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 <2:5 lm and <10 lm in aerodynamic diameter (PM2:5 and PM10, respectively) and nitrogen dioxide (NO2) 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 PM2:5 component profiles to evaluate the impact of heterogeneity in the PM2:5 mixture. For PM2:5, we investigated effect measure modification by component cluster membership and by geographic region without regard to air pollution mixture. RESULTS: During follow-up (mean = 8:4 y), 2,225 invasive and 623 ductal carcinoma in situ (DCIS) cases were identified. PM2:5 and NO2 were associated with breast cancer overall [HR = 1:05 (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 PM2:5 only in the Western United States [HR = 1:14 (95% CI:1.02, 1.27)] and NO2 only in the Southern United States [HR = 1:16 (95% CI:1.01, 1.33)]. PM2:5 was associated with a higher risk of invasive breast cancer among two of seven identified composition-based clusters. A higher risk was observed [HR = 1:25 (95% CI: 0.97, 1.60)] in a California-based cluster characterized by low S and high Na and nitrate (NO3−) fractions and for another Western United States cluster [HR = 1:60 (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.

References Powered by Scopus

Cancer statistics, 2019

17560Citations
N/AReaders
Get full text

Particulate matter air pollution and cardiovascular disease: An update to the scientific statement from the american heart association

5394Citations
N/AReaders
Get full text

The carcinogenicity of outdoor air pollution

1066Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Outdoor air pollution and cancer: An overview of the current evidence and public health recommendations

573Citations
N/AReaders
Get full text

Fine particulate matter exposure and cancer incidence: analysis of seer cancer registry data from 1992–2016

87Citations
N/AReaders
Get full text

Advances in particulate matter filtration: Materials, performance, and application

83Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

White, A. J., Keller, J. P., Zhao, S., Carroll, R., Kaufman, J. D., & Sandler, D. P. (2019). Air pollution, clustering of particulate matter components, and breast cancer in the sister study: A U.S.-wide cohort. Environmental Health Perspectives, 127(10). https://doi.org/10.1289/EHP5131

Readers over time

‘19‘20‘21‘22‘23‘24‘2506121824

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 20

48%

Researcher 17

40%

Lecturer / Post doc 3

7%

Professor / Associate Prof. 2

5%

Readers' Discipline

Tooltip

Medicine and Dentistry 15

41%

Environmental Science 10

27%

Nursing and Health Professions 7

19%

Mathematics 5

14%

Article Metrics

Tooltip
Mentions
News Mentions: 1
Social Media
Shares, Likes & Comments: 18

Save time finding and organizing research with Mendeley

Sign up for free
0