Journal Article

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

Nagata, Chisato, Hartman, Mikael, Chiarelli, Anna M., Burton, Anya, Perez-Gomez, Beatriz, Vinayak, Sudhir, Moss, Sue, Scott, Christopher, Dickens, Caroline, Fadzli, Farhana, Ursin, Giske, Giles, Graham, Hipwell, John, Pereira, Ana, Teo, Soo-Hwang, Vinnicombe, Sarah, Ndumia, Rose, Pollan, Marina, Lee, Jong Won, Miao, Hui, Vachon, Celine, dos-Santos-Silva, Isabel, Tamimi, Rulla M., Garmendia, Maria Luisa, Lajous, Martín, Bertrand, Kimberly, Peplonska, Beata, Aribal, Mustafa Erkin, Qureshi, Samera A., Bukowska, Agnieszka, Ozmen, Vahit, Rice, Megan, Lee, Eunjung, Ma, Huiyan, Sirous, Mehri, Stone, Jennifer, Van Gils, Carla H., Maskarinec, Gertraud, Allen, Steve, Chia, Kee-Seng, Flugelman, Anath Arzee, McCormack, Valerie, Sirous, Reza, Salem, Dorria, Kamal, Rasha, López-Ridaura, Ruy, Kim, Jisun, Linton, Linda, Wanders, Johanna O. P., Mariapun, Shivaani, Hopper, John, Boyd, Norman, Kwong, Ava, Schüz, Joachim

2017

Overview

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. 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 (I2) 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; I2 = 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]; I2 = 30%) was additionally driven by increasing breast area. The study is limited by different mammography systems and its cross-sectional rather than longitudinal nature. 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.

• Publisher: Public Library of Science,Public Library of Science (PLoS)
• Subject: Adult / Aged / Aged, 80 and over / Aging / Biology and Life Sciences / Body mass / Body mass index / Breast cancer / Breast Density / Breasts / Cross-Sectional Studies / Data processing / Density / Female / Health aspects / Health risk assessment / Health risks / Heterogeneity / Humans / Mammography / Measurement / Medicine and Health Sciences / Middle Aged / Minority & ethnic groups / People and places / Perimenopause / Post-menopause / Postmenopausal women / Postmenopause / Premenopause / Preventive medicine / Regression analysis / Research and Analysis Methods / Risk factors / Risk reduction / Social Sciences