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Mammographic density and ageing: A collaborative pooled analysis of cross-sectional data from 22 countries worldwide

BACKGROUND: Mammographic density (MD) is one of the strongest breast cancer risk factors. Its age-related characteristics have been studied in women in western countries, but whether these associations apply to women worldwide is not known. METHODS AND FINDINGS: We examined cross-sectional differenc...

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Autores principales: Burton, Anya, Maskarinec, Gertraud, Perez-Gomez, Beatriz, Vachon, Celine, Miao, Hui, Lajous, Martín, López-Ridaura, Ruy, Rice, Megan, Pereira, Ana, Garmendia, Maria Luisa, Tamimi, Rulla M., Bertrand, Kimberly, Kwong, Ava, Ursin, Giske, Lee, Eunjung, Qureshi, Samera A., Ma, Huiyan, Vinnicombe, Sarah, Moss, Sue, Allen, Steve, Ndumia, Rose, Vinayak, Sudhir, Teo, Soo-Hwang, Mariapun, Shivaani, Fadzli, Farhana, Peplonska, Beata, Bukowska, Agnieszka, Nagata, Chisato, Stone, Jennifer, Hopper, John, Giles, Graham, Ozmen, Vahit, Aribal, Mustafa Erkin, Schüz, Joachim, Van Gils, Carla H., Wanders, Johanna O. P., Sirous, Reza, Sirous, Mehri, Hipwell, John, Kim, Jisun, Lee, Jong Won, Dickens, Caroline, Hartman, Mikael, Chia, Kee-Seng, Scott, Christopher, Chiarelli, Anna M., Linton, Linda, Pollan, Marina, Flugelman, Anath Arzee, Salem, Dorria, Kamal, Rasha, Boyd, Norman, dos-Santos-Silva, Isabel, McCormack, Valerie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5493289/
https://www.ncbi.nlm.nih.gov/pubmed/28666001
http://dx.doi.org/10.1371/journal.pmed.1002335
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author Burton, Anya
Maskarinec, Gertraud
Perez-Gomez, Beatriz
Vachon, Celine
Miao, Hui
Lajous, Martín
López-Ridaura, Ruy
Rice, Megan
Pereira, Ana
Garmendia, Maria Luisa
Tamimi, Rulla M.
Bertrand, Kimberly
Kwong, Ava
Ursin, Giske
Lee, Eunjung
Qureshi, Samera A.
Ma, Huiyan
Vinnicombe, Sarah
Moss, Sue
Allen, Steve
Ndumia, Rose
Vinayak, Sudhir
Teo, Soo-Hwang
Mariapun, Shivaani
Fadzli, Farhana
Peplonska, Beata
Bukowska, Agnieszka
Nagata, Chisato
Stone, Jennifer
Hopper, John
Giles, Graham
Ozmen, Vahit
Aribal, Mustafa Erkin
Schüz, Joachim
Van Gils, Carla H.
Wanders, Johanna O. P.
Sirous, Reza
Sirous, Mehri
Hipwell, John
Kim, Jisun
Lee, Jong Won
Dickens, Caroline
Hartman, Mikael
Chia, Kee-Seng
Scott, Christopher
Chiarelli, Anna M.
Linton, Linda
Pollan, Marina
Flugelman, Anath Arzee
Salem, Dorria
Kamal, Rasha
Boyd, Norman
dos-Santos-Silva, Isabel
McCormack, Valerie
author_facet Burton, Anya
Maskarinec, Gertraud
Perez-Gomez, Beatriz
Vachon, Celine
Miao, Hui
Lajous, Martín
López-Ridaura, Ruy
Rice, Megan
Pereira, Ana
Garmendia, Maria Luisa
Tamimi, Rulla M.
Bertrand, Kimberly
Kwong, Ava
Ursin, Giske
Lee, Eunjung
Qureshi, Samera A.
Ma, Huiyan
Vinnicombe, Sarah
Moss, Sue
Allen, Steve
Ndumia, Rose
Vinayak, Sudhir
Teo, Soo-Hwang
Mariapun, Shivaani
Fadzli, Farhana
Peplonska, Beata
Bukowska, Agnieszka
Nagata, Chisato
Stone, Jennifer
Hopper, John
Giles, Graham
Ozmen, Vahit
Aribal, Mustafa Erkin
Schüz, Joachim
Van Gils, Carla H.
Wanders, Johanna O. P.
Sirous, Reza
Sirous, Mehri
Hipwell, John
Kim, Jisun
Lee, Jong Won
Dickens, Caroline
Hartman, Mikael
Chia, Kee-Seng
Scott, Christopher
Chiarelli, Anna M.
Linton, Linda
Pollan, Marina
Flugelman, Anath Arzee
Salem, Dorria
Kamal, Rasha
Boyd, Norman
dos-Santos-Silva, Isabel
McCormack, Valerie
author_sort Burton, Anya
collection PubMed
description BACKGROUND: Mammographic density (MD) is one of the strongest breast cancer risk factors. Its age-related characteristics have been studied in women in western countries, but whether these associations apply to women worldwide is not known. METHODS AND FINDINGS: We examined cross-sectional differences in MD by age and menopausal status in over 11,000 breast-cancer-free women aged 35–85 years, from 40 ethnicity- and location-specific population groups across 22 countries in the International Consortium on Mammographic Density (ICMD). MD was read centrally using a quantitative method (Cumulus) and its square-root metrics were analysed using meta-analysis of group-level estimates and linear regression models of pooled data, adjusted for body mass index, reproductive factors, mammogram view, image type, and reader. In all, 4,534 women were premenopausal, and 6,481 postmenopausal, at the time of mammography. A large age-adjusted difference in percent MD (PD) between post- and premenopausal women was apparent (–0.46 cm [95% CI: −0.53, −0.39]) and appeared greater in women with lower breast cancer risk profiles; variation across population groups due to heterogeneity (I(2)) was 16.5%. Among premenopausal women, the √PD difference per 10-year increase in age was −0.24 cm (95% CI: −0.34, −0.14; I(2) = 30%), reflecting a compositional change (lower dense area and higher non-dense area, with no difference in breast area). In postmenopausal women, the corresponding difference in √PD (−0.38 cm [95% CI: −0.44, −0.33]; I(2) = 30%) was additionally driven by increasing breast area. The study is limited by different mammography systems and its cross-sectional rather than longitudinal nature. CONCLUSIONS: Declines in MD with increasing age are present premenopausally, continue postmenopausally, and are most pronounced over the menopausal transition. These effects were highly consistent across diverse groups of women worldwide, suggesting that they result from an intrinsic biological, likely hormonal, mechanism common to women. If cumulative breast density is a key determinant of breast cancer risk, younger ages may be the more critical periods for lifestyle modifications aimed at breast density and breast cancer risk reduction.
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spelling pubmed-54932892017-07-18 Mammographic density and ageing: A collaborative pooled analysis of cross-sectional data from 22 countries worldwide Burton, Anya Maskarinec, Gertraud Perez-Gomez, Beatriz Vachon, Celine Miao, Hui Lajous, Martín López-Ridaura, Ruy Rice, Megan Pereira, Ana Garmendia, Maria Luisa Tamimi, Rulla M. Bertrand, Kimberly Kwong, Ava Ursin, Giske Lee, Eunjung Qureshi, Samera A. Ma, Huiyan Vinnicombe, Sarah Moss, Sue Allen, Steve Ndumia, Rose Vinayak, Sudhir Teo, Soo-Hwang Mariapun, Shivaani Fadzli, Farhana Peplonska, Beata Bukowska, Agnieszka Nagata, Chisato Stone, Jennifer Hopper, John Giles, Graham Ozmen, Vahit Aribal, Mustafa Erkin Schüz, Joachim Van Gils, Carla H. Wanders, Johanna O. P. Sirous, Reza Sirous, Mehri Hipwell, John Kim, Jisun Lee, Jong Won Dickens, Caroline Hartman, Mikael Chia, Kee-Seng Scott, Christopher Chiarelli, Anna M. Linton, Linda Pollan, Marina Flugelman, Anath Arzee Salem, Dorria Kamal, Rasha Boyd, Norman dos-Santos-Silva, Isabel McCormack, Valerie PLoS Med Research Article BACKGROUND: Mammographic density (MD) is one of the strongest breast cancer risk factors. Its age-related characteristics have been studied in women in western countries, but whether these associations apply to women worldwide is not known. METHODS AND FINDINGS: We examined cross-sectional differences in MD by age and menopausal status in over 11,000 breast-cancer-free women aged 35–85 years, from 40 ethnicity- and location-specific population groups across 22 countries in the International Consortium on Mammographic Density (ICMD). MD was read centrally using a quantitative method (Cumulus) and its square-root metrics were analysed using meta-analysis of group-level estimates and linear regression models of pooled data, adjusted for body mass index, reproductive factors, mammogram view, image type, and reader. In all, 4,534 women were premenopausal, and 6,481 postmenopausal, at the time of mammography. A large age-adjusted difference in percent MD (PD) between post- and premenopausal women was apparent (–0.46 cm [95% CI: −0.53, −0.39]) and appeared greater in women with lower breast cancer risk profiles; variation across population groups due to heterogeneity (I(2)) was 16.5%. Among premenopausal women, the √PD difference per 10-year increase in age was −0.24 cm (95% CI: −0.34, −0.14; I(2) = 30%), reflecting a compositional change (lower dense area and higher non-dense area, with no difference in breast area). In postmenopausal women, the corresponding difference in √PD (−0.38 cm [95% CI: −0.44, −0.33]; I(2) = 30%) was additionally driven by increasing breast area. The study is limited by different mammography systems and its cross-sectional rather than longitudinal nature. CONCLUSIONS: Declines in MD with increasing age are present premenopausally, continue postmenopausally, and are most pronounced over the menopausal transition. These effects were highly consistent across diverse groups of women worldwide, suggesting that they result from an intrinsic biological, likely hormonal, mechanism common to women. If cumulative breast density is a key determinant of breast cancer risk, younger ages may be the more critical periods for lifestyle modifications aimed at breast density and breast cancer risk reduction. Public Library of Science 2017-06-30 /pmc/articles/PMC5493289/ /pubmed/28666001 http://dx.doi.org/10.1371/journal.pmed.1002335 Text en © 2017 Burton et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Burton, Anya
Maskarinec, Gertraud
Perez-Gomez, Beatriz
Vachon, Celine
Miao, Hui
Lajous, Martín
López-Ridaura, Ruy
Rice, Megan
Pereira, Ana
Garmendia, Maria Luisa
Tamimi, Rulla M.
Bertrand, Kimberly
Kwong, Ava
Ursin, Giske
Lee, Eunjung
Qureshi, Samera A.
Ma, Huiyan
Vinnicombe, Sarah
Moss, Sue
Allen, Steve
Ndumia, Rose
Vinayak, Sudhir
Teo, Soo-Hwang
Mariapun, Shivaani
Fadzli, Farhana
Peplonska, Beata
Bukowska, Agnieszka
Nagata, Chisato
Stone, Jennifer
Hopper, John
Giles, Graham
Ozmen, Vahit
Aribal, Mustafa Erkin
Schüz, Joachim
Van Gils, Carla H.
Wanders, Johanna O. P.
Sirous, Reza
Sirous, Mehri
Hipwell, John
Kim, Jisun
Lee, Jong Won
Dickens, Caroline
Hartman, Mikael
Chia, Kee-Seng
Scott, Christopher
Chiarelli, Anna M.
Linton, Linda
Pollan, Marina
Flugelman, Anath Arzee
Salem, Dorria
Kamal, Rasha
Boyd, Norman
dos-Santos-Silva, Isabel
McCormack, Valerie
Mammographic density and ageing: A collaborative pooled analysis of cross-sectional data from 22 countries worldwide
title Mammographic density and ageing: A collaborative pooled analysis of cross-sectional data from 22 countries worldwide
title_full Mammographic density and ageing: A collaborative pooled analysis of cross-sectional data from 22 countries worldwide
title_fullStr Mammographic density and ageing: A collaborative pooled analysis of cross-sectional data from 22 countries worldwide
title_full_unstemmed Mammographic density and ageing: A collaborative pooled analysis of cross-sectional data from 22 countries worldwide
title_short Mammographic density and ageing: A collaborative pooled analysis of cross-sectional data from 22 countries worldwide
title_sort mammographic density and ageing: a collaborative pooled analysis of cross-sectional data from 22 countries worldwide
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5493289/
https://www.ncbi.nlm.nih.gov/pubmed/28666001
http://dx.doi.org/10.1371/journal.pmed.1002335
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