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The origins of breast cancer associated with mammographic density: a testable biological hypothesis
BACKGROUND: Our purpose is to develop a testable biological hypothesis to explain the known increased risk of breast cancer associated with extensive percent mammographic density (PMD), and to reconcile the apparent paradox that although PMD decreases with increasing age, breast cancer incidence inc...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5842598/ https://www.ncbi.nlm.nih.gov/pubmed/29514672 http://dx.doi.org/10.1186/s13058-018-0941-y |
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author | Boyd, Norman Berman, Hal Zhu, Jie Martin, Lisa J. Yaffe, Martin J. Chavez, Sofia Stanisz, Greg Hislop, Greg Chiarelli, Anna M. Minkin, Salomon Paterson, Andrew D. |
author_facet | Boyd, Norman Berman, Hal Zhu, Jie Martin, Lisa J. Yaffe, Martin J. Chavez, Sofia Stanisz, Greg Hislop, Greg Chiarelli, Anna M. Minkin, Salomon Paterson, Andrew D. |
author_sort | Boyd, Norman |
collection | PubMed |
description | BACKGROUND: Our purpose is to develop a testable biological hypothesis to explain the known increased risk of breast cancer associated with extensive percent mammographic density (PMD), and to reconcile the apparent paradox that although PMD decreases with increasing age, breast cancer incidence increases. METHODS: We used the Moolgavkar model of carcinogenesis as a framework to examine the known biological properties of the breast tissue components associated with PMD that includes epithelium and stroma, in relation to the development of breast cancer. In this model, normal epithelial cells undergo a mutation to become intermediate cells, which, after further mutation, become malignant cells. A clone of such cells grows to become a tumor. The model also incorporates changes with age in the number of susceptible epithelial cells associated with menarche, parity, and menopause. We used measurements of the radiological properties of breast tissue in 4454 healthy subjects aged from 15 to 80+ years to estimate cumulative exposure to PMD (CBD) in the population, and we examined the association of CBD with the age-incidence curve of breast cancer in the population. RESULTS: Extensive PMD is associated with a greater number of breast epithelial cells, lobules, and fibroblasts, and greater amounts of collagen and extracellular matrix. The known biological properties of these tissue components may, singly or in combination, promote the acquisition of mutations by breast epithelial cells specified by the Moolgavkar model, and the subsequent growth of a clone of malignant cells to form a tumor. We also show that estimated CBD in the population from ages 15 to 80+ years is closely associated with the age-incidence curve of breast cancer in the population. CONCLUSIONS: These findings are consistent with the hypothesis that the biological properties of the breast tissue components associated with PMD increase the probability of the transition of normal epithelium to malignant cells, and that the accumulation of mutations with CBD may influence the age-incidence curve of breast cancer. This hypothesis gives rise to several testable predictions. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13058-018-0941-y) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5842598 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-58425982018-03-14 The origins of breast cancer associated with mammographic density: a testable biological hypothesis Boyd, Norman Berman, Hal Zhu, Jie Martin, Lisa J. Yaffe, Martin J. Chavez, Sofia Stanisz, Greg Hislop, Greg Chiarelli, Anna M. Minkin, Salomon Paterson, Andrew D. Breast Cancer Res Research Article BACKGROUND: Our purpose is to develop a testable biological hypothesis to explain the known increased risk of breast cancer associated with extensive percent mammographic density (PMD), and to reconcile the apparent paradox that although PMD decreases with increasing age, breast cancer incidence increases. METHODS: We used the Moolgavkar model of carcinogenesis as a framework to examine the known biological properties of the breast tissue components associated with PMD that includes epithelium and stroma, in relation to the development of breast cancer. In this model, normal epithelial cells undergo a mutation to become intermediate cells, which, after further mutation, become malignant cells. A clone of such cells grows to become a tumor. The model also incorporates changes with age in the number of susceptible epithelial cells associated with menarche, parity, and menopause. We used measurements of the radiological properties of breast tissue in 4454 healthy subjects aged from 15 to 80+ years to estimate cumulative exposure to PMD (CBD) in the population, and we examined the association of CBD with the age-incidence curve of breast cancer in the population. RESULTS: Extensive PMD is associated with a greater number of breast epithelial cells, lobules, and fibroblasts, and greater amounts of collagen and extracellular matrix. The known biological properties of these tissue components may, singly or in combination, promote the acquisition of mutations by breast epithelial cells specified by the Moolgavkar model, and the subsequent growth of a clone of malignant cells to form a tumor. We also show that estimated CBD in the population from ages 15 to 80+ years is closely associated with the age-incidence curve of breast cancer in the population. CONCLUSIONS: These findings are consistent with the hypothesis that the biological properties of the breast tissue components associated with PMD increase the probability of the transition of normal epithelium to malignant cells, and that the accumulation of mutations with CBD may influence the age-incidence curve of breast cancer. This hypothesis gives rise to several testable predictions. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13058-018-0941-y) contains supplementary material, which is available to authorized users. BioMed Central 2018-03-07 2018 /pmc/articles/PMC5842598/ /pubmed/29514672 http://dx.doi.org/10.1186/s13058-018-0941-y Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Boyd, Norman Berman, Hal Zhu, Jie Martin, Lisa J. Yaffe, Martin J. Chavez, Sofia Stanisz, Greg Hislop, Greg Chiarelli, Anna M. Minkin, Salomon Paterson, Andrew D. The origins of breast cancer associated with mammographic density: a testable biological hypothesis |
title | The origins of breast cancer associated with mammographic density: a testable biological hypothesis |
title_full | The origins of breast cancer associated with mammographic density: a testable biological hypothesis |
title_fullStr | The origins of breast cancer associated with mammographic density: a testable biological hypothesis |
title_full_unstemmed | The origins of breast cancer associated with mammographic density: a testable biological hypothesis |
title_short | The origins of breast cancer associated with mammographic density: a testable biological hypothesis |
title_sort | origins of breast cancer associated with mammographic density: a testable biological hypothesis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5842598/ https://www.ncbi.nlm.nih.gov/pubmed/29514672 http://dx.doi.org/10.1186/s13058-018-0941-y |
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