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Associations of reproductive breast cancer risk factors with breast tissue composition

BACKGROUND: We investigated the associations of reproductive factors with the percentage of epithelium, stroma, and fat tissue in benign breast biopsy samples. METHODS: This study included 983 cancer-free women with biopsy-confirmed benign breast disease (BBD) within the Nurses’ Health Study and Nur...

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Autores principales: Yaghjyan, Lusine, Austin-Datta, Rebecca J., Oh, Hannah, Heng, Yujing J., Vellal, Adithya D., Sirinukunwattana, Korsuk, Baker, Gabrielle M., Collins, Laura C., Murthy, Divya, Rosner, Bernard, Tamimi, Rulla M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8258947/
https://www.ncbi.nlm.nih.gov/pubmed/34225771
http://dx.doi.org/10.1186/s13058-021-01447-2
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author Yaghjyan, Lusine
Austin-Datta, Rebecca J.
Oh, Hannah
Heng, Yujing J.
Vellal, Adithya D.
Sirinukunwattana, Korsuk
Baker, Gabrielle M.
Collins, Laura C.
Murthy, Divya
Rosner, Bernard
Tamimi, Rulla M.
author_facet Yaghjyan, Lusine
Austin-Datta, Rebecca J.
Oh, Hannah
Heng, Yujing J.
Vellal, Adithya D.
Sirinukunwattana, Korsuk
Baker, Gabrielle M.
Collins, Laura C.
Murthy, Divya
Rosner, Bernard
Tamimi, Rulla M.
author_sort Yaghjyan, Lusine
collection PubMed
description BACKGROUND: We investigated the associations of reproductive factors with the percentage of epithelium, stroma, and fat tissue in benign breast biopsy samples. METHODS: This study included 983 cancer-free women with biopsy-confirmed benign breast disease (BBD) within the Nurses’ Health Study and Nurses’ Health Study II cohorts. The percentage of each tissue type (epithelium, stroma, and fat) was measured on whole-section images with a deep-learning technique. All tissue measures were log-transformed in all the analyses to improve normality. The data on reproductive variables and other breast cancer risk factors were obtained from biennial questionnaires. Generalized linear regression was used to examine the associations of reproductive factors with the percentage of tissue types, while adjusting for known breast cancer risk factors. RESULTS: As compared to parous women, nulliparous women had a smaller percentage of epithelium (β = − 0.26, 95% confidence interval [CI] − 0.41, − 0.11) and fat (β = − 0.34, 95% CI − 0.54, − 0.13) and a greater percentage of stroma (β = 0.04, 95% CI 0.01, 0.08). Among parous women, the number of children was inversely associated with the percentage of stroma (β per child = − 0.01, 95% CI − 0.02, − 0.00). The duration of breastfeeding of ≥ 24 months was associated with a reduced proportion of fat (β = − 0.30, 95% CI − 0.54, − 0.06; p-trend = 0.04). In a separate analysis restricted to premenopausal women, older age at first birth was associated with a greater proportion of epithelium and a smaller proportion of stroma. CONCLUSIONS: Our findings suggest that being nulliparous as well as having a fewer number of children (both positively associated with breast cancer risk) is associated with a smaller proportion of epithelium and a greater proportion of stroma, potentially suggesting the importance of epithelial-stromal interactions. Future studies are warranted to confirm our findings and to elucidate the underlying biological mechanisms. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13058-021-01447-2.
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spelling pubmed-82589472021-07-06 Associations of reproductive breast cancer risk factors with breast tissue composition Yaghjyan, Lusine Austin-Datta, Rebecca J. Oh, Hannah Heng, Yujing J. Vellal, Adithya D. Sirinukunwattana, Korsuk Baker, Gabrielle M. Collins, Laura C. Murthy, Divya Rosner, Bernard Tamimi, Rulla M. Breast Cancer Res Research Article BACKGROUND: We investigated the associations of reproductive factors with the percentage of epithelium, stroma, and fat tissue in benign breast biopsy samples. METHODS: This study included 983 cancer-free women with biopsy-confirmed benign breast disease (BBD) within the Nurses’ Health Study and Nurses’ Health Study II cohorts. The percentage of each tissue type (epithelium, stroma, and fat) was measured on whole-section images with a deep-learning technique. All tissue measures were log-transformed in all the analyses to improve normality. The data on reproductive variables and other breast cancer risk factors were obtained from biennial questionnaires. Generalized linear regression was used to examine the associations of reproductive factors with the percentage of tissue types, while adjusting for known breast cancer risk factors. RESULTS: As compared to parous women, nulliparous women had a smaller percentage of epithelium (β = − 0.26, 95% confidence interval [CI] − 0.41, − 0.11) and fat (β = − 0.34, 95% CI − 0.54, − 0.13) and a greater percentage of stroma (β = 0.04, 95% CI 0.01, 0.08). Among parous women, the number of children was inversely associated with the percentage of stroma (β per child = − 0.01, 95% CI − 0.02, − 0.00). The duration of breastfeeding of ≥ 24 months was associated with a reduced proportion of fat (β = − 0.30, 95% CI − 0.54, − 0.06; p-trend = 0.04). In a separate analysis restricted to premenopausal women, older age at first birth was associated with a greater proportion of epithelium and a smaller proportion of stroma. CONCLUSIONS: Our findings suggest that being nulliparous as well as having a fewer number of children (both positively associated with breast cancer risk) is associated with a smaller proportion of epithelium and a greater proportion of stroma, potentially suggesting the importance of epithelial-stromal interactions. Future studies are warranted to confirm our findings and to elucidate the underlying biological mechanisms. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13058-021-01447-2. BioMed Central 2021-07-05 2021 /pmc/articles/PMC8258947/ /pubmed/34225771 http://dx.doi.org/10.1186/s13058-021-01447-2 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Yaghjyan, Lusine
Austin-Datta, Rebecca J.
Oh, Hannah
Heng, Yujing J.
Vellal, Adithya D.
Sirinukunwattana, Korsuk
Baker, Gabrielle M.
Collins, Laura C.
Murthy, Divya
Rosner, Bernard
Tamimi, Rulla M.
Associations of reproductive breast cancer risk factors with breast tissue composition
title Associations of reproductive breast cancer risk factors with breast tissue composition
title_full Associations of reproductive breast cancer risk factors with breast tissue composition
title_fullStr Associations of reproductive breast cancer risk factors with breast tissue composition
title_full_unstemmed Associations of reproductive breast cancer risk factors with breast tissue composition
title_short Associations of reproductive breast cancer risk factors with breast tissue composition
title_sort associations of reproductive breast cancer risk factors with breast tissue composition
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8258947/
https://www.ncbi.nlm.nih.gov/pubmed/34225771
http://dx.doi.org/10.1186/s13058-021-01447-2
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