Key steps for effective breast cancer prevention

Britt, Kara L.; Cuzick, Jack; Phillips, Kelly-Anne

doi:10.1038/s41568-020-0266-x

Cited by 992Cancer Risks and FactorsBRCA gene mutations in cancerGlobal Cancer Incidence and Screening

Key steps for effective breast cancer prevention

Britt, Kara L., Cuzick, Jack, Phillips, Kelly-Anne·2020·Nature Reviews Cancer

DOI 10.1038/s41568-020-0266-x

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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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DeepRisk: a deep learning approach for genome-wide assessment of common disease risk
Peng, J., Bao, Z., Li, J., Han, R., Wang, Y., Han, L., Peng, J., Wang, T., Hao, J., Wei, Z., et al. (2024) · Fundamental Research · doi:10.1016/j.fmre.2024.02.015 · Cited by 15 · see citing works
Effectiveness of Mindfulness Training in Emotion Regulation and Distress Tolerance among Breast Cancer Patients
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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.
ORCID: Britt, Kara L.
Cuzick, Jack
Phillips, Kelly-Anne
Venue: Nature Reviews Cancer
Publisher: Springer Science and Business Media LLC
Published: 2020-06-11
Volume: 20
Issue: 8
Pages: 417-436
ISSN: 1474-175X (ISSN-L)
1474-1768
DOI: 10.1038/s41568-020-0266-x
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
Licence: www.springer.com/tdm (tdm)
www.springer.com/tdm (vor)
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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