The DOI matches its Crossref record; 263 of the 263 references it cites were found in a registry or an index.
Key steps for effective breast cancer prevention
Abstract
Despite decades of laboratory, epidemiological and clinical research, breast cancer incidence continues to rise. Breast cancer remains the leading cancer-related cause of disease burden for women, affecting one in 20 globally and as many as one in eight in high-income countries. Reducing breast cancer incidence will likely require both a population-based approach of reducing exposure to modifiable risk factors and a precision-prevention approach of identifying women at increased risk and targeting them for specific interventions, such as risk-reducing medication. We already have the capacity to estimate an individual woman's breast cancer risk using validated risk assessment models, and the accuracy of these models is likely to continue to improve over time, particularly with inclusion of newer risk factors, such as polygenic risk and mammographic density. Evidence-based risk-reducing medications are cheap, widely available and recommended by professional health bodies; however, widespread implementation of these has proven challenging. The barriers to uptake of, and adherence to, current medications will need to be considered as we deepen our understanding of breast cancer initiation and begin developing and testing novel preventives.
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“زواًی ٍ ّوىاضاى زضهاى قٌاذتی هثتٌی تط شّي آگاّی ضا تط تحول پطیكاًی ٍ اًقغاف پصیطی قٌاذتی تیواضاى هثتلا تِ زیاتت ًَؿ زٍ هؤحط زاًؿتِ اًس ( )52”
From Effectiveness of Mindfulness Training in Emotion Regulation and Distress Tolerance among Breast Cancer Patients (2024) · cites this paper as [52]
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Cites
Items 201–263 of 263
Siwko, S. K., Dong, J., Lewis, M. T., Liu, H., Hilsenbeck, S. G., & Li, Y. (2008) · Stem Cells · doi:10.1634/stemcells.2008-0103 · Cited by 74
Gonadal function in adolescents and young women with juvenile systemic lupus erythematosus
Silva, C. A., Leal, M. M., Leone, C., Simone, V., Takiuti, A. D., Saito, M. I., & Kiss, M. H. B. (2002) · Lupus · doi:10.1191/0961203302lu219oa · Cited by 74
Collaborators, F. T. M. W. S., REEVES, G. K., Pirie, K. L., et al. (2009) · British Journal of Cancer · doi:10.1038/sj.bjc.6604853 · Cited by 74
Projecting Individualized Absolute Invasive Breast Cancer Risk in US Hispanic Women
Banegas, M. P., John, E. M., Slattery, M. L., Gomez, S. L., Yu, M., LaCroix, A. Z., Pee, D., Chlebowski, R. T., Hines, L. M., Thompson, C. A., et al. (2017) · Journal of the National Cancer Institute · doi:10.1093/jnci/djw215 · Cited by 74
Targeting angiogenesis inhibits tumor infiltration and expression of the pro-invasive protein SPARC
Vajkoczy, P., Menger, M. D., Goldbrunner, R., Ge, S., Fong, T. A. T., Vollmar, B., Schilling, L., Ullrich, A., Hirth, K. P., Tonn, J. C., et al. (2000) · International Journal of Cancer · doi:10.1002/1097-0215(20000715)87:2 · Cited by 73
Genomic signature induced by pregnancy in the human breast
Balogh, G., Heulings, R., Mailo, D., et al. (2006) · International Journal of Oncology · doi:10.3892/ijo.28.2.399 · Cited by 72
kConFab Investigators, Kehm, R. D., Hopper, J. L., John, E. M., Phillips, K., MacInnis, R. J., Dite, G. S., Milne, R. L., Liao, Y., Zeinomar, N., et al. (2019) · Breast Cancer Research · doi:10.1186/s13058-019-1135-y · Cited by 72
Self-citationBirths: Provisional Data for 2023
Hamilton, B. E., Martin, J. A., & Osterman, M. J. K. (2024) · doi:10.15620/cdc/151797 · Cited by 71
Evans, D. G., Harkness, E. F., Brentnall, A. R., van Veen, E. M., Astley, S., Byers, H., Sampson, S., Southworth, J., Stavrinos, P., Howell, S. J., et al. (2019) · Breast Cancer Research and Treatment · doi:10.1007/s10549-019-05210-2 · Cited by 69
Self-citationKuchenbaecker, K. B., Neuhausen, S. L., Robson, M. E., Barrowdale, D., McGuffog, L., Mulligan, A. M., Andrulis, I. L., Spurdle, A. B., Schmidt, M. K., Schmutzler, R. K., et al. (2014) · Breast Cancer Research · doi:10.1186/s13058-014-0492-9 · Cited by 68
Cuzick, J. M., Brentnall, A. R., Segal, C. V., Byers, H., Reuter, C., DETRE, S. I., López‐Knowles, E., Šestak, I., Howell, A., Powles, T. J., et al. (2017) · Journal of Clinical Oncology · doi:10.1200/jco.2016.69.8944 · Cited by 67
Self-citationWomen's views on chemoprevention of breast cancer: qualitative study.
Heisey, R., Pimlott, N., Clemons, M. J., Cummings, S. R., & Drummond, N. (2006) · Europe PMC (PubMed Central) · Cited by 65
Kehm, R. D., Genkinger, J. M., MacInnis, R. J., John, E. M., Phillips, K., Dite, G. S., Milne, R. L., Zeinomar, N., Liao, Y., Knight, J. A., et al. (2019) · Cancer Research · doi:10.1158/0008-5472.can-19-1847 · Cited by 64
Self-citationAssociation of Adiposity Genetic Variants With Menarche Timing in 92,105 Women of European Descent
Fernández‐Rhodes, L., Demerath, E. W., Cousminer, D. L., Tao, R., Dreyfus, J., Esko, T., Smith, A. V., Gudnason, V. G., Harris, T. B., Launer, L. J., et al. (2013) · American Journal of Epidemiology · doi:10.1093/aje/kws473 · Cited by 63
Kurgan, N., Tsakiridis, E. E., Kouvelioti, R., Moore, J., Klentrou, P., & Tsiani, E. (2017) · Cancers · doi:10.3390/cancers9050046 · Cited by 62
Triano, E. A., Slusher, L. B., Atkins, T. A., Beneski, J. T., Gestl, S. A., Zolfaghari, R., Polavarapu, R., Frauenhoffer, E. E., & Weisz, J. (2003) · PubMed · Cited by 60
Brentnall, A. R., van Veen, E. M., Harkness, E. F., Rafiq, S., Byers, H., Astley, S., Sampson, S., Howell, A., Newman, W. G., Cuzick, J. M., et al. (2019) · International Journal of Cancer · doi:10.1002/ijc.32541 · Cited by 59
Self-citationLisanti, M. P., Reeves, K., Peiris‐Pagès, M., Chadwick, A. L., Sánchez‐Alvarez, R., Howell, A., Martinez‐Outschoorn, U., & Sotgia, F. (2013) · Cell Cycle · doi:10.4161/cc.27379 · Cited by 56
Britt, K. L., Kendrick, H. D., Regan, J. L., Molyneux, G., Magnay, F., Ashworth, A., & Smalley, M. J. (2009) · Breast Cancer Research · doi:10.1186/bcr2245 · Cited by 54
Self-citationPrenatal smoking and age at menarche: influence of the prenatal environment on the timing of puberty
Behie, A. M., & O’Donnell, M. H. (2015) · Human Reproduction · doi:10.1093/humrep/dev033 · Cited by 54
Lu, L., Shi, L., Zeng, J., & Wen, Z. (2017) · Oncotarget · doi:10.18632/oncotarget.16315 · Cited by 53
Assessing and managing breast cancer risk: Clinicians' current practice and future needs
Collins, I. M., Steel, E. J., Mann, G. B., Emery, J. D., Bickerstaffe, A., Trainer, A. H., Butow, P. N., Pirotta, M. V., Antoniou, A. C., Cuzick, J. M., et al. (2014) · The Breast · doi:10.1016/j.breast.2014.06.014 · Cited by 52
Self-citationPreventing breast and ovarian cancers in high‐risk BRCA1 and BRCA2 mutation carriers
Collins, I. M., Milne, R. L., Weideman, P. C., McLachlan, S., Friedlander, M. L., Hopper, J. L., & Phillips, K. (2013) · The Medical Journal of Australia · doi:10.5694/mja13.10848 · Cited by 50
Self-citationRisk-Reducing Oophorectomy and Breast Cancer Risk Across the Spectrum of Familial Risk
Terry, M. B., Daly, M. B., Phillips, K. A., et al. (2018) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/djy182 · Cited by 47
Self-citationLigtenberg, M. J. L., Hogervorst, F. B. L., Willems, H. W., et al. (1999) · British Journal of Cancer · doi:10.1038/sj.bjc.6690235 · Cited by 46
Lactation opposes pappalysin‐1‐driven pregnancy‐associated breast cancer
Takabatake, Y., Oxvig, C., Nagi, C. S., et al. (2016) · EMBO Molecular Medicine · doi:10.15252/emmm.201606273 · Cited by 45
Shawky, M. S., Martin, H. L., Hugo, H. J., Lloyd, T., Britt, K. L., Redfern, A. D., & Thompson, E. W. (2016) · Oncotarget · doi:10.18632/oncotarget.13484 · Cited by 43
Self-citationOut-RANKing BRCA1 in Mutation Carriers
Nolan, E., Lindeman, G. J., & Visvader, J. E. (2017) · Cancer Research · doi:10.1158/0008-5472.can-16-2025 · Cited by 43
Estrogen receptor subtypes dictate the proliferative nature of the mammary gland
Dall, G., Hawthorne, S. C. J., Seyed‐Razavi, Y., et al. (2018) · Journal of Endocrinology · doi:10.1530/joe-17-0582 · Cited by 43
Genomic signature of parity in the breast of premenopausal women
Santucci-Pereira, J., Zeleniuch‐Jacquotte, A., Afanasyeva, Y., Zhong, J., Slifker, M. J., Peri, S., Ross, E. A., de Cicco, R. L., Zhai, Y., Nguyen, T. D., et al. (2019) · Breast Cancer Research · doi:10.1186/s13058-019-1128-x · Cited by 43
Epigenetic Biomarkers of Breast Cancer Risk: Across the Breast Cancer Prevention Continuum
Terry, M. B., McDonald, J. A., Wu, H. C., Eng, S. M., & Santella, R. M. (2016) · Advances in experimental medicine and biology · doi:10.1007/978-3-319-22909-6_2 · Cited by 42
Smith, S. G., Foy, R., McGowan, J., et al. (2017) · British Journal of General Practice · doi:10.3399/bjgp17x689377 · Cited by 42
Collins, I. M., Bickerstaffe, A., Ranaweera, T., et al. (2016) · Breast Cancer Research and Treatment · doi:10.1007/s10549-016-3726-y · Cited by 41
Use of Bisphosphonates and Risk of Breast Cancer
Vestergaard, P., Fischer, L., Mele, M., Mosekilde, L., & Christiansen, P. (2011) · Calcified Tissue International · doi:10.1007/s00223-011-9463-7 · Cited by 40
Unsworth, A., Anderson, R. L., & Britt, K. L. (2014) · Journal of Mammary Gland Biology and Neoplasia · doi:10.1007/s10911-014-9326-8 · Cited by 40
Self-citationRenehan, A. G., Pegington, M., Harvie, M., Sperrin, M., Astley, S., Brentnall, A. R., Howell, A., Cuzick, J. M., & Evans, D. G. (2020) · British Journal of Cancer · doi:10.1038/s41416-020-0807-9 · Cited by 40
Self-citationMachella, N., Terry, M. B., Zipprich, J., Gurvich, I., Liao, Y., Senie, R. T., Kennedy, D. O., & Santella, R. M. (2008) · Carcinogenesis · doi:10.1093/carcin/bgn140 · Cited by 38
High mammographic density in women is associated with protumor inflammation
Huo, C. W., Hill, P., Chew, G. L., et al. (2018) · Breast Cancer Research · doi:10.1186/s13058-018-1010-2 · Cited by 38
Wang, M., Yu, B., Westerlind, K. C., Strange, R., Khan, G., Patil, D. H., Boeneman, K., & Hilakivi‐Clarke, L. (2008) · Breast Cancer Research and Treatment · doi:10.1007/s10549-008-0062-x · Cited by 36
Krishnan, K., Baglietto, L., Apicella, C., Stone, J., Southey, M. C., English, D. R., Giles, G. G., & Hopper, J. L. (2016) · Breast Cancer Research · doi:10.1186/s13058-016-0722-4 · Cited by 36
Lammert, J., Lubiński, J., Gronwald, J., Huzarski, T., Armel, S. R., Eisen, A. F., Meschino, W. S., Lynch, H. T., Snyder, C., Eng, C., et al. (2018) · Breast Cancer Research and Treatment · doi:10.1007/s10549-018-4694-1 · Cited by 36
Arriaga, M. E., Vajdic, C. M., Canfell, K., et al. (2019) · International Journal of Cancer · doi:10.1002/ijc.32231 · Cited by 36
Cumulative risks and cessation of exclusive breast feeding: Australian cross-sectional survey
Ayton, J., van der Mei, I., Wills, K., Hansen, E., & Nelson, M. (2015) · Archives of Disease in Childhood · doi:10.1136/archdischild-2014-307833 · Cited by 34
Xu, L., Zhao, Y., Chen, Z., Wang, Y., Chen, L., & Wang, S. (2015) · Breast Cancer · doi:10.1007/s12282-015-0619-6 · Cited by 34
Noonan, S., Pasa, A., Fontana, V., Caviglia, S., Bonanni, B., Costa, A., Smith, S. G., Peccatori, F. A., & DeCensi, A. (2017) · Cancer Prevention Research · doi:10.1158/1940-6207.capr-17-0162 · Cited by 34
Absolute Risk Models for Subtypes of Breast Cancer
Gail, M. H., Anderson, W. F., García‐Closas, M., & Sherman, M. E. (2007) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/djm228 · Cited by 32
Consumer and clinician perspectives on personalising breast cancer prevention information
Keogh, L., Steel, E. J., Weideman, P. C., Butow, P. N., Collins, I. M., Emery, J. D., Mann, G. B., Bickerstaffe, A., Trainer, A., Hopper, L. J., et al. (2018) · The Breast · doi:10.1016/j.breast.2018.11.002 · Cited by 30
Self-citationDall, G., Vieusseux, J. L., Korach, K. S., Arao, Y., Hewitt, S. C., Hamilton, K. J., Dzierzak, E. A., Boon, W. C., Simpson, E. R., Ramsay, R. G., et al. (2017) · Stem Cell Reports · doi:10.1016/j.stemcr.2016.12.022 · Cited by 27
Self-citationAssociation study of the oestrogen signalling pathway genes in relation to age at natural menopause
He, L.-N., Xiong, D.-H., Liu, Y., Zhang, F., Recker, R. R., & Deng, H. (2007) · Journal of Genetics · doi:10.1007/s12041-007-0034-7 · Cited by 26
Risk factors for young-onset invasive and in situ breast cancer
O’Brien, K. M., Sun, F. X., Sandler, D. P., DeRoo, L. A., & Weinberg, C. R. (2015) · Cancer Causes & Control · doi:10.1007/s10552-015-0670-9 · Cited by 24
Lo, L. L., Collins, I. M., Bressel, M., Butow, P. N., Emery, J. D., Keogh, L. A., Weideman, P. C., Steel, E. J., Hopper, J. L., Trainer, A. H., et al. (2018) · JMIR Formative Research · doi:10.2196/formative.9935 · Cited by 19
Self-citationThe rise and fall of infectious diseases: Australian perspectives, 1914‐2014
Cossart, Y. E. (2014) · The Medical Journal of Australia · doi:10.5694/mja14.00112 · Cited by 18
Mai, P. L., Miller, A., Gail, M. H., Skates, S. J., Lu, K. H., Sherman, M. E., Ioffe, O. B., Rodriguez, G. C., Cohn, D. E., Boggess, J. F., et al. (2019) · JNCI Cancer Spectrum · doi:10.1093/jncics/pkz075 · Cited by 18
Self-citationAustralian clinicians and chemoprevention for women at high familial risk for breast cancer
Keogh, L. A., Hopper, J. L., Rosenthal, D., et al. (2009) · Hereditary Cancer in Clinical Practice · doi:10.1186/1897-4287-7-9 · Cited by 17
Phillips, K., Steel, E. J., Collins, I. M., et al. (2015) · Australian Journal of Primary Health · doi:10.1071/py14156 · Cited by 17
Self-citationAccuracy of Risk Estimates from the iPrevent Breast Cancer Risk Assessment and Management Tool
Phillips, K., Liao, Y., Milne, R. L., MacInnis, R. J., Collins, I. M., Buchsbaum, R., Weideman, P. C., Bickerstaffe, A., Nesci, S., Chung, W. K., et al. (2019) · JNCI Cancer Spectrum · doi:10.1093/jncics/pkz066 · Cited by 17
Self-citationBreast cancer incidence by estrogen receptor status in Denmark from 1996 to 2007
Bigaard, J., Stahlberg, C. I., Jensen, M., et al. (2012) · Breast Cancer Research and Treatment · doi:10.1007/s10549-012-2269-0 · Cited by 14
How to judge the cancer services benefit component of your health insurance plan
Mortenson, L. E. (1998) · Cancer · doi:10.1002/(sici)1097-0142(19980515)82:10+ · Cited by 10
CYP2D6 testing in breast cancer: ready for prime time?
Kuderer, N. M., & Peppercorn, J. M. (2009) · PubMed · Cited by 9
Chlebowski, R. T., Anderson, G. L., Aragaki, A. K., et al. (2020) · Cancer Research · doi:10.1158/1538-7445.sabcs19-gs5-00 · Cited by 9
Skandarajah, A. R., Thomas, S. N., Shackleton, K., Chin‐Lenn, L., Lindeman, G. J., & Mann, G. B. (2017) · The Breast · doi:10.1016/j.breast.2017.01.002 · Cited by 8
Murata, K., Fujita, M., Honda, T., Yamada, Y., Tomonaga, M., & Shiku, H. (1996) · International Journal of Cancer · doi:10.1002/(sici)1097-0215(19960927)68:1 · Cited by 6
The polygenic basis of breast cancer
Pharoah, P. D. P., & Ponder, B. A. J. (2007) · Cambridge University Press eBooks · doi:10.1017/cbo9780511543555.016 · Cited by 2
Research works printed but not linked: 6
- Ries, L. A. G., Melbert, D. & Krapcho, M. SEER Cancer Statistics Review, 1975–2004 (NIH, 2006).
- Broca, P. Taite des tumeurs Vol. 13 (Libraire De La Faculte De Medecine, 1866).
- Ramazzini, B. De Morbis Artificum (Diseases of Workers) (University of Chicago Press, 1940).
- Office for National Statistics. Births in England and Wales 2018, Statistical Bulletin (2019).
- Martin, J. A., Hamilton, B. E., Osterman, M. J. K., Driscoll, A. K. & Drake, P. Final data for 2017 National Vital Statistics Reports Vol. 67 No. 8 Report No. 1568–7856 (Electronic) 1568–7856 (Linking), 844–855 (National Center for Health Statistics, 2018).
- Sickles, E. A., D’Orsi, C. J., Bassett, L. W. ACR BI-RADS Mammography Vol. 5 134–136 (American College of Radiology, 2013).
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Parsaee, S., Jahani, N., Salehiniya, H., & Raeison, M. (2024) · Journal of Breast Diseases · doi:10.61186/ijbd.17.1.84
Metadata
- Authors
- Britt, K. L., Cuzick, J., & Phillips, K.-A.
- Affiliations
- The University of Melbourne (AU)
- Queen Mary University of London (GB)
- Corresponding author
- Britt, Kara L.
- Venue
- Nature Reviews Cancer
- Published
- 2020-06-11
- Volume
- 20
- Issue
- 8
- Pages
- 417-436
- ISSN
- 1474-175X (ISSN-L)
- 1474-1768
- OpenAlex
- W3035321842
- Cited by
- 992
- References
- 263
- Citations by year
- 2026: 58 · 2025: 149 · 2024: 205 · 2023: 163 · 2022: 293 · 2021: 109 · 2020: 15
- FWCI
- 15.60
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Nature reviews. Cancer (publishedVersion)
- PubMed (publishedVersion)
- Queen Mary Research Online (Queen Mary University of London) (submittedVersion)
- Funders
- Barts Charity (MGU0461)
- Cancer Research UK (16891)
- Topics
- Health Sciences › Medicine › Oncology › Cancer Risks and Factors
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › BRCA gene mutations in cancer
- Health Sciences › Medicine › Oncology › Global Cancer Incidence and Screening
- Keywords
- breast cancer prevention, breast cancer incidence, modifiable risk factors, personalized prevention, polygenic risk, breast density, tamoxifen, raloxifene, medication adherence, barriers to uptake, breast cancer initiation, high-income countries
- MeSH terms
- Antineoplastic Agents, Breast Neoplasms, Female, Humans, Risk Factors, Risk Assessment
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