PREDICT validity for prognosis of breast cancer patients with pathogenic BRCA1/2 variants

被引:0
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作者
Taru A. Muranen
Anna Morra
Sofia Khan
Daniel R. Barnes
Manjeet K. Bolla
Joe Dennis
Renske Keeman
Goska Leslie
Michael T. Parsons
Qin Wang
Thomas U. Ahearn
Kristiina Aittomäki
Irene L. Andrulis
Banu K. Arun
Sabine Behrens
Katarzyna Bialkowska
Stig E. Bojesen
Nicola J. Camp
Jenny Chang-Claude
Kamila Czene
Peter Devilee
Susan M. Domchek
Alison M. Dunning
Christoph Engel
D. Gareth Evans
Manuela Gago-Dominguez
Montserrat García-Closas
Anne-Marie Gerdes
Gord Glendon
Pascal Guénel
Eric Hahnen
Ute Hamann
Helen Hanson
Maartje J. Hooning
Reiner Hoppe
Louise Izatt
Anna Jakubowska
Paul A. James
Vessela N. Kristensen
Fiona Lalloo
Geoffrey J. Lindeman
Arto Mannermaa
Sara Margolin
Susan L. Neuhausen
William G. Newman
Paolo Peterlongo
Kelly-Anne Phillips
Miquel Angel Pujana
Johanna Rantala
Karina Rønlund
机构
[1] Helsinki University Hospital,Department of Obstetrics and Gynecology
[2] University of Helsinki,Research Program in Systems Oncology, Department of Biochemistry and Developmental Biology
[3] University of Helsinki,Division of Molecular Pathology
[4] The Netherlands Cancer Institute,Department of Genetics, HUSLAB, HUS Diagnostic Center
[5] Helsinki University Hospital,Individualized Drug Therapy Research Program
[6] University of Helsinki,Department of Clinical Pharmacology
[7] University of Helsinki,Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care
[8] University of Helsinki,Population Health Division
[9] University of Cambridge,Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health
[10] QIMR Berghofer Medical Research Institute,Department of Medical and Clinical Genetics
[11] Department of Health and Human Services,Fred A. Litwin Center for Cancer Genetics
[12] University of Helsinki,Department of Molecular Genetics
[13] Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital,Department of Breast Medical Oncology
[14] Toronto,Division of Cancer Epidemiology
[15] University of Toronto,Department of Genetics and Pathology
[16] Toronto,Copenhagen General Population Study
[17] University of Texas MD Anderson Cancer Center,Department of Clinical Biochemistry
[18] German Cancer Research Center (DKFZ),Faculty of Health and Medical Sciences
[19] Pomeranian Medical University,Department of Internal Medicine and Huntsman Cancer Institute
[20] Herlev and Gentofte Hospital,Cancer Epidemiology Group
[21] Copenhagen University Hospital,Department of Medical Epidemiology and Biostatistics
[22] Herlev and Gentofte Hospital,Department of Pathology
[23] Copenhagen University Hospital,Department of Human Genetics
[24] University of Copenhagen,Basser Center for BRCA, Abramson Cancer Center
[25] University of Utah,Centre for Cancer Genetic Epidemiology, Department of Oncology
[26] University Cancer Center Hamburg (UCCH),Institute for Medical Informatics, Statistics and Epidemiology
[27] University Medical Center Hamburg-Eppendorf,LIFE
[28] Karolinska Institutet, Leipzig Research Centre for Civilization Diseases
[29] Leiden University Medical Center,Prevent Breast Cancer Research Unit, The Nightingale Centre
[30] Leiden University Medical Center,Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health
[31] University of Pennsylvania,Clinical Genetics Service, Manchester Centre for Genomic Medicine
[32] University of Cambridge,Manchester Breast Centre, Oglesby Cancer Research Centre
[33] University of Leipzig,Health Research Institute of Santiago de Compostela Foundation (FIDIS)
[34] University of Leipzig,Department of Clinical Genetics, Rigshospitalet
[35] Manchester University Hospital Foundation NHS Trust,Team “Exposome and Heredity”, CESP, Gustave Roussy, INSERM
[36] University of Manchester,Center for Familial Breast and Ovarian Cancer
[37] Manchester Academic Health Science Centre,Center for Integrated Oncology (CIO)
[38] Manchester University Hospitals Foundation Trust,Molecular Genetics of Breast Cancer
[39] The Christie,SouthWest Thames Centre for Genomics
[40] University of Manchester,Department of Medical Oncology
[41] SERGAS,Clinical Genetics
[42] Cancer Genetics and Epidemiology Group Santiago de Compostela,Independent Laboratory of Molecular Biology and Genetic Diagnostics
[43] Copenhagen University Hospital,Parkville Familial Cancer Centre
[44] University Paris-Saclay,Department of Medical Genetics
[45] UVSQ,Institute of Clinical Medicine, Faculty of Medicine
[46] Faculty of Medicine and University Hospital Cologne,Cancer Biology and Stem Cells Division
[47] University of Cologne,Department of Medical Oncology
[48] Faculty of Medicine and University Hospital Cologne,Department of Medicine, Royal Melbourne Hospital
[49] University of Cologne,Translational Cancer Research Area
[50] German Cancer Research Center (DKFZ),Institute of Clinical Medicine, Pathology and Forensic Medicine
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摘要
We assessed the PREDICT v 2.2 for prognosis of breast cancer patients with pathogenic germline BRCA1 and BRCA2 variants, using follow-up data from 5453 BRCA1/2 carriers from the Consortium of Investigators of Modifiers of BRCA1/2 (CIMBA) and the Breast Cancer Association Consortium (BCAC). PREDICT for estrogen receptor (ER)-negative breast cancer had modest discrimination for BRCA1 carrier patients overall (Gönen & Heller unbiased concordance 0.65 in CIMBA, 0.64 in BCAC), but it distinguished clearly the high-mortality group from lower risk categories. In an analysis of low to high risk categories by PREDICT score percentiles, the observed mortality was consistently lower than the expected mortality, but the confidence intervals always included the calibration slope. Altogether, our results encourage the use of the PREDICT ER-negative model in management of breast cancer patients with germline BRCA1 variants. For the PREDICT ER-positive model, the discrimination was slightly lower in BRCA2 variant carriers (concordance 0.60 in CIMBA, 0.65 in BCAC). Especially, inclusion of the tumor grade distorted the prognostic estimates. The breast cancer mortality of BRCA2 carriers was underestimated at the low end of the PREDICT score distribution, whereas at the high end, the mortality was overestimated. These data suggest that BRCA2 status should also be taken into consideration with tumor characteristics, when estimating the prognosis of ER-positive breast cancer patients.
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