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Mammographic density and risk of breast cancer by age and tumor characteristics

INTRODUCTION: Understanding whether mammographic density (MD) is associated with all breast tumor subtypes and whether the strength of association varies by age is important for utilizing MD in risk models. METHODS: Data were pooled from six studies including 3414 women with breast cancer and 7199 w...

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Autores principales: Bertrand, Kimberly A, Tamimi, Rulla M, Scott, Christopher G, Jensen, Matthew R, Pankratz, V Shane, Visscher, Daniel, Norman, Aaron, Couch, Fergus, Shepherd, John, Fan, Bo, Chen, Yunn-Yi, Ma, Lin, Beck, Andrew H, Cummings, Steven R, Kerlikowske, Karla, Vachon, Celine M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3978749/
https://www.ncbi.nlm.nih.gov/pubmed/24188089
http://dx.doi.org/10.1186/bcr3570
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author Bertrand, Kimberly A
Tamimi, Rulla M
Scott, Christopher G
Jensen, Matthew R
Pankratz, V Shane
Visscher, Daniel
Norman, Aaron
Couch, Fergus
Shepherd, John
Fan, Bo
Chen, Yunn-Yi
Ma, Lin
Beck, Andrew H
Cummings, Steven R
Kerlikowske, Karla
Vachon, Celine M
author_facet Bertrand, Kimberly A
Tamimi, Rulla M
Scott, Christopher G
Jensen, Matthew R
Pankratz, V Shane
Visscher, Daniel
Norman, Aaron
Couch, Fergus
Shepherd, John
Fan, Bo
Chen, Yunn-Yi
Ma, Lin
Beck, Andrew H
Cummings, Steven R
Kerlikowske, Karla
Vachon, Celine M
author_sort Bertrand, Kimberly A
collection PubMed
description INTRODUCTION: Understanding whether mammographic density (MD) is associated with all breast tumor subtypes and whether the strength of association varies by age is important for utilizing MD in risk models. METHODS: Data were pooled from six studies including 3414 women with breast cancer and 7199 without who underwent screening mammography. Percent MD was assessed from digitized film-screen mammograms using a computer-assisted threshold technique. We used polytomous logistic regression to calculate breast cancer odds according to tumor type, histopathological characteristics, and receptor (estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor (HER2)) status by age (<55, 55–64, and ≥65 years). RESULTS: MD was positively associated with risk of invasive tumors across all ages, with a two-fold increased risk for high (>51%) versus average density (11-25%). Women ages <55 years with high MD had stronger increased risk of ductal carcinoma in situ (DCIS) compared to women ages 55–64 and ≥65 years (P(age-interaction) = 0.02). Among all ages, MD had a stronger association with large (>2.1 cm) versus small tumors and positive versus negative lymph node status (P’s < 0.01). For women ages <55 years, there was a stronger association of MD with ER-negative breast cancer than ER-positive tumors compared to women ages 55–64 and ≥65 years (P(age-interaction) = 0.04). MD was positively associated with both HER2-negative and HER2-positive tumors within each age group. CONCLUSION: MD is strongly associated with all breast cancer subtypes, but particularly tumors of large size and positive lymph nodes across all ages, and ER-negative status among women ages <55 years, suggesting high MD may play an important role in tumor aggressiveness, especially in younger women.
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spelling pubmed-39787492014-04-08 Mammographic density and risk of breast cancer by age and tumor characteristics Bertrand, Kimberly A Tamimi, Rulla M Scott, Christopher G Jensen, Matthew R Pankratz, V Shane Visscher, Daniel Norman, Aaron Couch, Fergus Shepherd, John Fan, Bo Chen, Yunn-Yi Ma, Lin Beck, Andrew H Cummings, Steven R Kerlikowske, Karla Vachon, Celine M Breast Cancer Res Research Article INTRODUCTION: Understanding whether mammographic density (MD) is associated with all breast tumor subtypes and whether the strength of association varies by age is important for utilizing MD in risk models. METHODS: Data were pooled from six studies including 3414 women with breast cancer and 7199 without who underwent screening mammography. Percent MD was assessed from digitized film-screen mammograms using a computer-assisted threshold technique. We used polytomous logistic regression to calculate breast cancer odds according to tumor type, histopathological characteristics, and receptor (estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor (HER2)) status by age (<55, 55–64, and ≥65 years). RESULTS: MD was positively associated with risk of invasive tumors across all ages, with a two-fold increased risk for high (>51%) versus average density (11-25%). Women ages <55 years with high MD had stronger increased risk of ductal carcinoma in situ (DCIS) compared to women ages 55–64 and ≥65 years (P(age-interaction) = 0.02). Among all ages, MD had a stronger association with large (>2.1 cm) versus small tumors and positive versus negative lymph node status (P’s < 0.01). For women ages <55 years, there was a stronger association of MD with ER-negative breast cancer than ER-positive tumors compared to women ages 55–64 and ≥65 years (P(age-interaction) = 0.04). MD was positively associated with both HER2-negative and HER2-positive tumors within each age group. CONCLUSION: MD is strongly associated with all breast cancer subtypes, but particularly tumors of large size and positive lymph nodes across all ages, and ER-negative status among women ages <55 years, suggesting high MD may play an important role in tumor aggressiveness, especially in younger women. BioMed Central 2013 2013-11-04 /pmc/articles/PMC3978749/ /pubmed/24188089 http://dx.doi.org/10.1186/bcr3570 Text en Copyright © 2013 Bertrand et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Bertrand, Kimberly A
Tamimi, Rulla M
Scott, Christopher G
Jensen, Matthew R
Pankratz, V Shane
Visscher, Daniel
Norman, Aaron
Couch, Fergus
Shepherd, John
Fan, Bo
Chen, Yunn-Yi
Ma, Lin
Beck, Andrew H
Cummings, Steven R
Kerlikowske, Karla
Vachon, Celine M
Mammographic density and risk of breast cancer by age and tumor characteristics
title Mammographic density and risk of breast cancer by age and tumor characteristics
title_full Mammographic density and risk of breast cancer by age and tumor characteristics
title_fullStr Mammographic density and risk of breast cancer by age and tumor characteristics
title_full_unstemmed Mammographic density and risk of breast cancer by age and tumor characteristics
title_short Mammographic density and risk of breast cancer by age and tumor characteristics
title_sort mammographic density and risk of breast cancer by age and tumor characteristics
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3978749/
https://www.ncbi.nlm.nih.gov/pubmed/24188089
http://dx.doi.org/10.1186/bcr3570
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