Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Meta-Analysis
. 2019 Dec;98(50):e18349.
doi: 10.1097/MD.0000000000018349.

The relationship between exposure to particulate matter and breast cancer incidence and mortality: A meta-analysis

Affiliations
Meta-Analysis

The relationship between exposure to particulate matter and breast cancer incidence and mortality: A meta-analysis

Zhe Zhang et al. Medicine (Baltimore). 2019 Dec.

Abstract

Background: Particulate matter (PM) acts as an environment pollutant and thus plays a vital role in the development of human lung cancer. Whether PM is a risk factor for breast cancer (BC) morbidity and mortality, however, is not clear. Recently, several studies have reported inconsistent results for the association between PM and BC risk. This meta-analysis examines the indefinite relationship between exposure to PM and BC morbidity and mortality.

Methods: Based on a search of Pubmed, Embase, Web of Science and Cochrane Library, the hazard ratio (HR) and 95% confidence interval (CI) were extracted and analyzed by Review Manager 5.3 and Stata14.0 to estimate the association between PM and BC morbidity and mortality. The heterogeneity for the included studies was evaluated using a Chi-square test and the I statistic. Forest plot was used to illustrate the pooled HR and mean difference. A Funnel plot, Begg test, and Egger test were performed to explore the publication bias between the included studies.All analyses were based on previous published studies, thus, no ethical approval and patient consent are required.

Results: A total of 14 of 284 publications with 1,004,128 BC cases were gathered. The analysis showed each 10 μg/m of PM2.5 (diameter ≤2.5 μm) was associated with 1.17 (95% CI: 1.05-1.30, P = .004) fold risk BC mortality, and each 10 μg/m of PM10 (diameter ≤10 μm) was associated with 1.11 (95% CI: 1.02-1.21, P = .021) fold risk BC mortality. However, neither PM10 nor PM2.5 was found to be significantly associated with BC morbidity. Publication bias was detected in studies on PM2.5 and BC mortality.

Conclusions: Our study suggests that PM exposure may raise the mortality but not the morbidity of BC. Still, further studies may be necessary to confirm this finding.

PubMed Disclaimer

Conflict of interest statement

The authors have no conflicts of interest to disclose.

Figures

Figure 1
Figure 1
Flowchart for article search and selection process.
Figure 2
Figure 2
Forest plot for the association between PM2.5 (A) and PM10 (B) and BC incidence: Overall analysis. The black diamond and its extremities indicate the pooled risk ratio center and a 95% confidential interval. BC = breast cancer, PM = particulate matter.
Figure 3
Figure 3
Forest plot for the association between PM2.5 and BC incidence: Subgroup analysis. The results of invasive BC (A), ER+/PR+ BC (B), ER−/PR− BC (C) are shown, respectively. The black diamond and its extremities indicate the pooled risk ratio center and a 95% confidential interval. BC = breast cancer, ER = estrogen receptor, PM = particulate matter, PR = progesterone receptor.
Figure 4
Figure 4
Forest plot for the association between PM10 and BC incidence: Subgroup analysis. The results of invasive BC (A), ER+/PR+ BC (B), ER−/PR− BC (C) are shown, respectively. The black diamond and its extremities indicate the pooled risk ratio center and a 95% confidential interval. BC = breast cancer, ER = estrogen receptor, PM = particulate matter, PR = progesterone receptor.
Figure 5
Figure 5
Forest plot for the association between PM2.5 (A) and PM10 (B) and BC mortality: Overall analysis. The black diamond and its extremities indicate the pooled risk ratio center and a 95% confidential interval. BC = breast cancer, PM = particulate matter.
Figure 6
Figure 6
Forest plot for the association between PM2.5 and BC mortality: Subgroup analysis. The results of cohort studies (A) an ecological studies (B) are shown, respectively. The black diamond and its extremities indicate the pooled risk ratio center and a 95% confidential interval. BC = breast cancer, PM = particulate matter.
Figure 7
Figure 7
Forest plot for the association between PM2.5 and BC mortality: Subgroup analysis. The results of higher exposure (A) and lower exposure (B) are shown, respectively. The black diamond and its extremities indicate the pooled risk ratio center and a 95% confidential interval. BC = breast cancer, PM = particulate matter.
Figure 8
Figure 8
Funnel plot for the studies included for the association between PM2.5 and BC morbidity (A), PM10 and BC morbidity (B), PM2.5 and BC mortality (C), PM10 and BC mortality (D). BC = breast cancer, PM = particulate matter.

References

    1. Loomis D, Grosse Y, Lauby-Secretan B, et al. The carcinogenicity of outdoor air pollution. Lancet Oncol 2013;14:1262–3. - PubMed
    1. Eckel SP, Cockburn M, Shu Y-H, et al. Air pollution affects lung cancer survival. Thorax 2016;71:891–8. - PMC - PubMed
    1. Shu Y, Zhu L, Yuan F, et al. Analysis of the relationship between PM2.5 and lung cancer based on protein-protein interactions. Comb Chem High Throughput Screen 2016;19:100–8. - PubMed
    1. Hoek G, Raaschou-Nielsen O. Impact of fine particles in ambient air on lung cancer. Chin J Cancer 2014;33:197–203. - PMC - PubMed
    1. Bostrom CE, Gerde P, Hanberg A, et al. Cancer risk assessment, indicators, and guidelines for polycyclic aromatic hydrocarbons in the ambient air. Environ Health Perspect 2002;110: Suppl 3: 451–88. - PMC - PubMed

Publication types