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

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      1 , 2 , 3 , 4 , 5 , 6 , 7 , 7 , 8 , 9 , 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 , 17 , 18 , 19 , 20 , 21 , 22 , 23 , 23 , 24 , 25 , 25 , 26 , 27 , 28 , 28 , 29 , 30 , 31 , 31 , 32 , 33 , 34 , 1 , 35 , 35 , 36 , 37 , 38 , 39 , 39 , 40 , 5 , 41 , 42 , 5 , 43 , 44 , 3 , 4 , 45 , 46 , 46 , 44 , 47 , 1 , *
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          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          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.

          Abstract

          Valerie McCormack and colleagues reveal reduced breast density with increased age in women from different ethnic groups; however increased breast density in young women is a cancer risk.

          Author summary

          Why was this study done?
          • Breast density, a measure of the amount of dense to fatty tissue in the breast, is a strong marker of breast cancer risk.

          • Breast density determinants have been studied in high-income countries, but not in women worldwide.

          What did the researchers do and find?
          • We studied how breast density differed by age and menopausal status in diverse groups of women from 22 countries worldwide.

          • For over 11,000 women, mammograms were read centrally and risk factor data harmonised.

          • We found that, regardless of the country and ethnic group of women, breast density was much lower in postmenopausal than in premenopausal women of the same age.

          • Additionally, as a relative proportion of breast area, breast density was lower in older women both among premenopausal and postmenopausal women. Among premenopausal women, breast density changed with age without an increase in breast area, but among postmenopausal women, the latter also increased.

          What do these findings mean?
          • That this change in breast density with age is seen internationally suggests that the change is due to a universal biological mechanism inherent to all 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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          Most cited references43

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          Measuring inconsistency in meta-analyses.

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            Cancer incidence and mortality worldwide: sources, methods and major patterns in GLOBOCAN 2012.

            Estimates of the worldwide incidence and mortality from 27 major cancers and for all cancers combined for 2012 are now available in the GLOBOCAN series of the International Agency for Research on Cancer. We review the sources and methods used in compiling the national cancer incidence and mortality estimates, and briefly describe the key results by cancer site and in 20 large "areas" of the world. Overall, there were 14.1 million new cases and 8.2 million deaths in 2012. The most commonly diagnosed cancers were lung (1.82 million), breast (1.67 million), and colorectal (1.36 million); the most common causes of cancer death were lung cancer (1.6 million deaths), liver cancer (745,000 deaths), and stomach cancer (723,000 deaths). © 2014 UICC.
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              Mammographic density and the risk and detection of breast cancer.

              Extensive mammographic density is associated with an increased risk of breast cancer and makes the detection of cancer by mammography difficult, but the influence of density on risk according to method of cancer detection is unknown. We carried out three nested case-control studies in screened populations with 1112 matched case-control pairs. We examined the association of the measured percentage of density in the baseline mammogram with risk of breast cancer, according to method of cancer detection, time since the initiation of screening, and age. As compared with women with density in less than 10% of the mammogram, women with density in 75% or more had an increased risk of breast cancer (odds ratio, 4.7; 95% confidence interval [CI], 3.0 to 7.4), whether detected by screening (odds ratio, 3.5; 95% CI, 2.0 to 6.2) or less than 12 months after a negative screening examination (odds ratio, 17.8; 95% CI, 4.8 to 65.9). Increased risk of breast cancer, whether detected by screening or other means, persisted for at least 8 years after study entry and was greater in younger than in older women. For women younger than the median age of 56 years, 26% of all breast cancers and 50% of cancers detected less than 12 months after a negative screening test were attributable to density in 50% or more of the mammogram. Extensive mammographic density is strongly associated with the risk of breast cancer detected by screening or between screening tests. A substantial fraction of breast cancers can be attributed to this risk factor. Copyright 2007 Massachusetts Medical Society.
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                Author and article information

                Contributors
                Role: Academic Editor
                Journal
                PLoS Med
                PLoS Med
                plos
                plosmed
                PLoS Medicine
                Public Library of Science (San Francisco, CA USA )
                1549-1277
                1549-1676
                30 June 2017
                June 2017
                : 14
                : 6
                : e1002335
                Affiliations
                [1 ]Section of Environment and Radiation, International Agency for Research on Cancer, Lyon, France
                [2 ]University of Hawaii Cancer Center, Honolulu, Hawaii, United States of America
                [3 ]Instituto de Salud Carlos III, Madrid, Spain
                [4 ]CIBERESP, Madrid, Spain
                [5 ]Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, United States of America
                [6 ]Saw Swee Hock School of Public Health, National University of Singapore, Singapore
                [7 ]Instituto Nacional de Salud Pública, Cuernavaca, Mexico
                [8 ]Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, United States of America
                [9 ]Instituto de Nutrición y Tecnología de los Alimentos, Universidad de Chile, Santiago, Chile
                [10 ]Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, United States of America
                [11 ]Slone Epidemiology Center, Boston University, Boston, Massachusetts, United States of America
                [12 ]Division of Breast Surgery, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, China
                [13 ]Department of Surgery and Cancer Genetics Center, Hong Kong Sanatorium and Hospital, Hong Kong, China
                [14 ]Hong Kong Hereditary Breast Cancer Family Registry, Hong Kong, China
                [15 ]Cancer Registry of Norway, Oslo, Norway
                [16 ]Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
                [17 ]Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, United States of America
                [18 ]Norwegian Centre for Migrant and Minority Health (NAKMI), Oslo, Norway
                [19 ]Department of Population Sciences, City of Hope National Medical Center, Duarte, California, United States of America
                [20 ]Division of Cancer Research, Ninewells Hospital and Medical School, Dundee, United Kingdom
                [21 ]Wolfson Institute of Preventive Medicine, Queen Mary University of London, London, United Kingdom
                [22 ]Department of Diagnostic Radiology, Royal Marsden NHS Foundation Trust, London, United Kingdom
                [23 ]Aga Khan University Hospital, Nairobi, Kenya
                [24 ]Breast Cancer Research Group, University of Malaya Medical Centre, University of Malaya, Kuala Lumpur, Malaysia
                [25 ]Cancer Research Malaysia, Subang Jaya, Malaysia
                [26 ]Breast Cancer Research Unit, Faculty of Medicine, University of Malaya Cancer Research Institute, University of Malaya, Kuala Lumpur, Malaysia
                [27 ]Biomedical Imaging Department, University of Malaya Medical Centre, University of Malaya, Kuala Lumpur, Malaysia
                [28 ]Nofer Institute of Occupational Medicine, Łódź, Poland
                [29 ]Department of Epidemiology & Preventive Medicine, Graduate School of Medicine, Gifu University, Gifu, Japan
                [30 ]Centre for Genetic Origins of Health and Disease, University of Western Australia, Crawley, Western Australia, Australia
                [31 ]Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia
                [32 ]Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, Victoria, Australia
                [33 ]Faculty of Medicine, Istanbul University, Istanbul, Turkey
                [34 ]Department of Radiology, School of Medicine, Marmara University, Istanbul, Turkey
                [35 ]Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
                [36 ]Isfahan University of Medical Sciences, Isfahan, Iran
                [37 ]Radiology Department, Isfahan University of Medical Sciences, Isfahan, Iran
                [38 ]Centre for Medical Image Computing, University College London, London, United Kingdom
                [39 ]Asan Medical Center, Seoul, Republic of Korea
                [40 ]Department of Internal Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
                [41 ]Department of Surgery, Yong Loo Lin School of Medicine, Singapore
                [42 ]Graduate School for Integrative Sciences and Engineering, National University of Singapore, Singapore
                [43 ]Ontario Breast Screening Program, Cancer Care Ontario, Toronto, Ontario, Canada
                [44 ]Princess Margaret Cancer Centre, Toronto, Ontario, Canada
                [45 ]National Cancer Control Center, Lady Davis Carmel Medical Center, Faculty of Medicine, Technion–Israel Institute of Technology, Haifa, Israel
                [46 ]Woman Imaging Unit, Radiodiagnosis Department, Kasr El Aini, Cairo University Hospitals, Cairo, Egypt
                [47 ]Department of Non-communicable Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, United Kingdom
                Fred Hutchinson Cancer Research Center, UNITED STATES
                Author notes

                I have read the journal's policy and the authors of this manuscript have identified the following competing interests: ML: Non-restricted investigator-initiated grant from AstraZeneca and minor support from Swiss Re.

                • Conceptualization: ABur, VM, NB, IS.

                • Data curation: GM, BPG, CV, HMi, ML, RLR, MR, AP, MLG, RMT, KB, AK, GU, EL, SAQ, HMa, SVinn, SMo, SA, RN, SVina, SHT, SMa, FF, BP, ABuk, CN, JSt, JHo, GG, VO, MEA, JSc, CVG, JOPW, RS, MS, JHi, JK, JWL, CD, MH, KSC, CS, AMC, LL, MP, AAF, DS, RK, NB, IS, VM.

                • Formal analysis: ABur, VM.

                • Funding acquisition: VM.

                • Investigation: GM, BPG, CV, HMi, ML, RLR, MR, AP, MLG, RMT, KB, AK, GU, EL, SAQ, HMa, SVinn, SMo, SA, RN, SVina, SHT, SMa, FF, BP, ABuk, CN, JSt, JHo, GG, VO, MEA, JSch, CVG, JOPW, RS, MS, JHi, JK, JWL, CD, MH, KSC, CS, AMC, LL, MP, AAF, DS, RK, NB, IS, VM.

                • Methodology: ABur, VM, NB, IS.

                • Project administration: VM, ABur, JSch.

                • Resources: ABur, GM, BPG, CV, HMi, ML, RLR, MR, AP, MLG, RMT, KB, AK, GU, SAQ, HMa, EL, SVina, SMo, SVinn, RN, SHT, SMa, FF, BP, ABuk, CN, GG, JSto, JHo, VO, MEA, JSch, CVG, JOPW, RS, MS, JHi, JWL, JK, CD, MH, KSC, CS, AMC, LL, MP, AAF, DS, RK, NB, IS, VM.

                • Software: JHi.

                • Supervision: VM.

                • Validation: VM, ABur.

                • Visualization: VM, ABur.

                • Writing – original draft: ABur, GM, BPG, CV, HMi, NB, IS, VM.

                • Writing – review & editing: GM, BPG, CV, HMi, ML, NB, IS, RLR, MR, AP, MLG, RMT, KB, AK, GU, EL, SAQ, HMa, SVinn, SMo, SA, RN, SVina, SHT, SMa, FF, BP, ABuk, CN, JSt, JHo, GG, VO, MEA, JSc, CVG, JOPW, RS, MS, JHi, JK, JWL, CD, MH, KSC, CS, AMC, LL, MP, AAF, DS, RK.

                [¤]

                Current address: Jackson State University, Jackson, Mississippi, United States of America

                Author information
                http://orcid.org/0000-0002-4416-0538
                http://orcid.org/0000-0003-4956-1266
                http://orcid.org/0000-0003-3915-2872
                http://orcid.org/0000-0002-8567-173X
                http://orcid.org/0000-0003-4946-9099
                http://orcid.org/0000-0003-0817-7567
                http://orcid.org/0000-0002-2230-5302
                http://orcid.org/0000-0003-1340-0647
                Article
                PMEDICINE-D-17-00064
                10.1371/journal.pmed.1002335
                5493289
                28666001
                f81fa20f-228f-46e1-acec-d0b7e8df7176
                © 2017 Burton et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 6 January 2017
                : 24 May 2017
                Page count
                Figures: 3, Tables: 3, Pages: 20
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/100000054, National Cancer Institute;
                Award ID: R03CA167771
                Award Recipient :
                Funded by: Centre International de Recherche sur le Cancer (FR)
                Award Recipient :
                This work was supported by grant R03CA167771 from the US National Cancer Institute of the National Institutes of Health, and by the International Agency for Research on Cancer. Original studies were supported, according to country, by: Australia-Australian National Breast Cancer Foundation (to JSt), MCCS by VicHealth, Cancer Council Victoria and Australian NHMRC grants 209057, 251553 and 504711, cases and their vital status were ascertained through the Victorian Cancer Registry and the Australian Institute of Health and Welfare, including the National Death Index and the Australian Cancer Database; Canada-the National Cancer Institute of Canada (to NB); Chile-Fondecyt 11100238 (to MLG), 1120326, 1130277, 3130532, World Cancer Research Fund 2010/245, Ellison Medical Foundation Grant (to AP); Iran-Isfahan University of Medical Sciences; Israel-The Israel Cancer Association; Rep. of Korea: Asan Medical Center, Seoul, Republic of Korea, Grant No. 2010-0811; Malaysia-Sime Darby LPGA Tournament, the Ministry of Education University Malaya High Impact Research Grant UM.C/HIR/MOHE/06 and University Malaya Research Grant No RP046B-15HTM; Mexico-Ministry of Education of Mexico and ISSSTE’s Medical Directorate staff and regional office in Jalisco for technical and administrative support, National Council of Science and Technology (Mexico) and the American Institute for Cancer Research (10A035); Netherlands EPIC-NL-Europe against Cancer Programme of the European Commission (SANCO), Dutch Ministry of Health, Dutch Cancer Society, ZonMW the Netherlands Organisation for Health Research and Development, and the World Cancer Research Fund; Poland-Polish-Norwegian Research Programme (PNRF–243–AI–1/07); Singapore-Clinician Scientist Award from National Medical Research Council and National University Cancer Institute Singapore (NCIS) Centre grant programme from National Medical Research Council; South Africa-Pink Drive; Spain-Spain’s Health Research Fund (Fondo de Investigacion Santiaria) PI060386 and PS09/0790, and Spanish Federation of Breast Cancer Patients (FECMA) EPY1169-10; Turkey-Roche Mustahzarlari San. A.S., Istanbul, Turkey; UK-EPSRC and EP/K020439/1 (JHi), Breast Cancer Campaign (2007MayPR23), Cancer Research UK (G186/11; C405/A14565), Da Costa Foundation; US-National Cancer Institute R01CA85265, R37 CA54281, R01 CA97396, P50 CA116201, R01 CA177150, R01 CA140286, Cancer Center Support Grant CA15083; CA131332, CA124865, UM1 CA186107, UM1 CA176726 and the Susan G. Komen Foundation. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Medicine and Health Sciences
                Oncology
                Cancers and Neoplasms
                Breast Tumors
                Breast Cancer
                Medicine and Health Sciences
                Endocrinology
                Endocrine Physiology
                Menopause
                Biology and Life Sciences
                Physiology
                Endocrine Physiology
                Menopause
                Medicine and Health Sciences
                Physiology
                Endocrine Physiology
                Menopause
                Medicine and Health Sciences
                Diagnostic Medicine
                Diagnostic Radiology
                Mammography
                Research and Analysis Methods
                Imaging Techniques
                Diagnostic Radiology
                Mammography
                Medicine and Health Sciences
                Radiology and Imaging
                Diagnostic Radiology
                Mammography
                Biology and Life Sciences
                Population Biology
                Population Metrics
                Population Density
                Medicine and Health Sciences
                Oncology
                Cancer Risk Factors
                Aging and Cancer
                People and places
                Population groupings
                Ethnicities
                Ethnic Malays
                People and Places
                Population Groupings
                Social Sciences
                Sociology
                Consortia
                Custom metadata
                ICMD data cannot be deposited publicly as these data originate from 27 research institutions across 22 countries with different legal and ethical frameworks. The authors confirm that researchers seeking the analysis dataset for this work are able to apply to the Section of Environment and Radiation, IARC, by email: env@ 123456iarc.fr for access to it.

                Medicine
                Medicine

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