Development and validation of a risk prediction model for premenopausal breast cancer in 19 cohorts

In this prediction model for premenopausal BC, the relative contribution of risk factors to absolute risk was similar to existing models for overall BC. The discriminatory ability was nearly identical (< 1% difference in AUC) to the existing iCARE-Lit model developed in women under 50 years. The inability to improve discrimination highlights the need to investigate additional predictors to better understand premenopausal BC risk.

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Publication Details

Journal
Breast Cancer Research
Published
2025-05-01
DOI
https://doi.org/10.1186/s13058-025-02031-8
Primary Topic
Cancer Risks and Factors
Type
article
Field-Weighted Citation Impact
0.00

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article

Development and validation of a risk prediction model for premenopausal breast cancer in 19 cohorts

Sven Sandin, Minouk J. Schoemaker, Susan E. Hankinson, Amaia Aizpurua et al.
1 links
Breast Cancer Research
Cancer Risks and Factors
article

Development and validation of a risk prediction model for premenopausal breast cancer in 19 cohorts

Sven Sandin, Minouk J. Schoemaker, Susan E. Hankinson, Amaia Aizpurua, Xiao‐Ou Shu, Jessica Clague DeHart, William J. Blot, Michael E. Jones, Hans‐Olov Adami, Kathryn J. Ruddy, Thérèse Truong, Lene Mellemkjær, Cari M. Kitahara, Roger Laughlin Milne, LARS JOHAN VATTEN, Martha S. Linet, Rulla M. Tamimi, Kristen D. Brantley, Hazel B. Nichols, Amy Berrington de González, Sandar Tin Tin, Katie M. O’Brien, Giovanna Masala, Dale P. Sandler, Renée T. Fortner, Celine M. Vachon, Robert J. MacInnis, Montserrat García‐Closas, Tonje Braaten, David C. Müller, Jian‐Min Yuan, Hannah Lui Park, Elisabete Weiderpass, Walter Churchill Willett, BERNARD A. ROSNER, Kala Visvanathan, Peter Kraft, Sjoerd G. Elias, Niclas Håkansson, A. Heather Eliassen, Yu Chen, Laure Dossus, Inger T. Gram, Anthony J Swerdlow, Woon‐Puay Koh, Wei Zheng, A. Wolk
article en

Abstract

In this prediction model for premenopausal BC, the relative contribution of risk factors to absolute risk was similar to existing models for overall BC. The discriminatory ability was nearly identical (< 1% difference in AUC) to the existing iCARE-Lit model developed in women under 50 years. The inability to improve discrimination highlights the need to investigate additional predictors to better understand premenopausal BC risk.

Breast Cancer ResearchVol. 27(1)
University of North Carolina at Chapel Hill (US), Brigham and Women's Hospital (US), Norwegian Institute of Public Health (NO), Harvard University (US), Claremont Graduate University (US), Institute of Cancer Research (GB), Johns Hopkins University (US), Inserm (FR), The University of Melbourne (AU), National University of Singapore (SG), University of Pittsburgh (US), German Cancer Research Center (DE), University of Oslo (NO), Utrecht University (NL), Université de Versailles Saint-Quentin-en-Yvelines (FR), Cancer Council Victoria (AU), University of California, Irvine (US), Cornell University (US), Heidelberg University (DE), University of Massachusetts Amherst (US), Université Paris-Saclay (FR), Basque Government (ES), Karolinska Institutet (SE), IQVIA (United Kingdom) (GB), University Medical Center Utrecht (NL), University of Oxford (GB), Triangle (US), National Institute of Environmental Health Sciences (US), Ministry of Health (ES), Centre de recherche en Epidémiologie et Santé des Populations (FR), Monash Health (AU), Mayo Clinic in Arizona (US), UPMC Hillman Cancer Center (US), Cancer Registry of Norway (NO), UC Irvine Health (US), National Cancer Institute (US), Onkologikoa (ES), Mayo Clinic in Florida (US), Danish Cancer Society (DK), Piedmont Reference Center for Epidemiology and Cancer Prevention (IT), IQ Solutions (US), Melbourne Health (AU), Vanderbilt Health (US), Department of Health and Human Services (US), Centre international de recherche sur le cancer (FR), Weill Cornell Medicine (US), Division of Cancer Epidemiology and Genetics, Imperial College London (GB), Monash University (AU), New York University (US), UiT The Arctic University of Norway (NO), Vanderbilt University Medical Center (US)
California Department of Public Health, University of Southern California, Deutsches Krebsforschungszentrum, Royal Marsden NHS Foundation Trust, Cancer Research UK, National Institute for Health and Care Research, Imperial College London, Institut National de la Santé et de la Recherche Médicale, Bundesministerium für Bildung und Forschung, Cancerfonden, Ligue Contre le Cancer, Vetenskapsrådet, Associazione Italiana per la Ricerca sul Cancro, Deutsche Krebshilfe, Institut Gustave-Roussy, Mutuelle Générale de l'Education Nationale, National Institutes of Health, Centers for Disease Control and Prevention, University of California, San Francisco, Medical Research Council, World Cancer Research Fund, National Health and Medical Research Council, Cancer Council Victoria, Instituto de Salud Carlos III, NIHR Imperial Biomedical Research Centre, School of Public Health, Imperial College London, National Cancer Institute, National Institute of Environmental Health Sciences, NHLBI Division of Intramural Research
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Cancer Risks and Factors
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