Outdoor air pollution and histologic composition of normal breast tissue.
Autor: | Ish JL; Epidemiology Branch, National Institute of Environmental Health Sciences, Durham, NC, USA. Electronic address: jennifer.ish@nih.gov., Abubakar M; Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA. Electronic address: mustapha.abubakar2@nih.gov., Fan S; Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA. Electronic address: shaoqi.fan@nih.gov., Jones RR; Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA. Electronic address: rena.jones@nih.gov., Niehoff NM; Epidemiology Branch, National Institute of Environmental Health Sciences, Durham, NC, USA. Electronic address: nicole.niehoff@gmail.com., Henry JE; Biospecimen Collection and Banking Core, Susan G. Komen Tissue Bank at the IU Simon Comprehensive Cancer Center, Indianapolis, IN, USA. Electronic address: jihenry@iu.edu., Gierach GL; Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA. Electronic address: gierachg@mail.nih.gov., White AJ; Epidemiology Branch, National Institute of Environmental Health Sciences, Durham, NC, USA. Electronic address: alexandra.white@nih.gov. |
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Jazyk: | angličtina |
Zdroj: | Environment international [Environ Int] 2023 Jun; Vol. 176, pp. 107984. Date of Electronic Publication: 2023 May 19. |
DOI: | 10.1016/j.envint.2023.107984 |
Abstrakt: | Background: Biologic pathways underlying the association between outdoor air pollution and breast cancer risk are poorly understood. Breast tissue composition may reflect cumulative exposure to breast cancer risk factors and has been associated with breast cancer risk among patients with benign breast disease. Herein, we evaluated whether fine particulate matter (PM Methods: Machine-learning algorithms were applied to digitized hematoxylin and eosin-stained biopsies of normal breast tissue to quantify the epithelium, stroma, adipose and total tissue area from 3,977 individuals aged 18-75 years from a primarily Midwestern United States population who donated breast tissue samples to the Susan G. Komen Tissue Bank (2009-2019). Annual levels of PM Results: Higher residential PM Conclusions: Our findings are consistent with a possible role of PM Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. (Published by Elsevier Ltd.) |
Databáze: | MEDLINE |
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