External validation of PREDICT Breast v3.1 for overall survival in international cohorts, including young and invasive lobular subgroups.

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Bibliographic Details
Title: External validation of PREDICT Breast v3.1 for overall survival in international cohorts, including young and invasive lobular subgroups.
Authors: Verheul EM; Center for Medical Decision Making, Department of Public Health, Erasmus University Medical Center, Rotterdam, The Netherlands. e.verheul@erasmusmc.nl.; Dutch Institute for Clinical Auditing, Leiden, The Netherlands. e.verheul@erasmusmc.nl., Doornkamp F; Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands., Petrov I; Microbiology, Tumour- and Cell Biology Department, Karolinska Institutet, Stockholm, Sweden.; Cancer Centrum Karolinska (CCK), Solna, Sweden., Siesling S; Department of Research, Netherlands Comprehensive Cancer Organization (IKNL), Utrecht, The Netherlands.; Department of Health Technology and Services Research, Technical Medical Centre, University of Twente, Enschede, The Netherlands., Lingsma HF; Center for Medical Decision Making, Department of Public Health, Erasmus University Medical Center, Rotterdam, The Netherlands., Koppert LB; Department of Surgery, Erasmus MC Cancer Institute, Rotterdam, The Netherlands., Vreven LWA; Department of Epidemiology, Maastricht University, Maastricht, The Netherlands., Voogd AC; Department of Epidemiology, Maastricht University, Maastricht, The Netherlands., Karsten MM; Department of Gynecology with Breast Center, Charité - Universitätsmedizin Berlin, Berlin, Germany., Doppelbauer L; Department of Gynecology with Breast Center, Charité - Universitätsmedizin Berlin, Berlin, Germany., Gebert P; Berlin Institute of Health at Charité -Universitätsmedizin Berlin, Berlin, Germany.; Institute of Biometry and Clinical Epidemiology, Charité - Universitätsmedizin Berlin, Berlin, Germany., Kiani N; Department of Oncology-Pathology, Center for Molecular Medicine, Karolinska Institutet, Solna, Sweden.; Algorithmic Dynamics Lab, Karolinska Institutet, Solna, Sweden., Borstnar S; Department of Medical Oncology, Institute of Oncology Ljubljana, Ljubljana, Slovenia., Pharoah PDP; Department of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA., Hedayati E; Department of Oncology-Pathology, Center for Molecular Medicine, Karolinska Institutet, Solna, Sweden.; Breast Cancer Centre, Cancer Theme, Karolinska University Hospital, Karolinska CCC, Stockholm, Sweden., Steyerberg EW; Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands.; Julius Center, University Medical Center Utrecht, Utrecht, The Netherlands., van Klaveren D; Center for Medical Decision Making, Department of Public Health, Erasmus University Medical Center, Rotterdam, The Netherlands.
Corporate Authors: 4D PICTURE Consortium
Source: Breast cancer research and treatment [Breast Cancer Res Treat] 2026 Apr 17; Vol. 217 (2). Date of Electronic Publication: 2026 Apr 17.
Publication Type: Journal Article; Validation Study
Journal Info: Publisher: Kluwer Academic Country of Publication: Netherlands NLM ID: 8111104 Publication Model: Electronic Cited Medium: Internet ISSN: 1573-7217 (Electronic) Linking ISSN: 01676806 NLM ISO Abbreviation: Breast Cancer Res Treat Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1573-7217
DOI:10.1007/s10549-026-07958-w