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

Authors :
Taru Muranen
Anna Morra
Sofia Khan
Daniel Barnes
Manjeet Bolla
Joe Dennis
Renske Keeman
Goska Leslie
Michael Parsons
Qin Wang
Thomas Ahearn
Kristiina Aittomäki
Irene Andrulis
Banu Arun
Sabine Behrens
Katarzyna Białkowska
Stig Bojesen
Nicola Camp
Jenny Chang-Claude
Kamila Czene
Peter Devilee
Susan Domchek
Alison Dunning
Christoph Engel
Gareth Evans
Manuela Gago-Dominguez
Montserrat Garcia-Closas
Anne-Marie Gerdes
Gord Glendon
Pascal Guénel
Eric Hahnen
Prof U. Hamann
Helen Hanson
Maartje Hooning
Reiner Hoppe
Louise Izatt
Anna Jakubowska
Paul James
Vessela Kristensen
Fiona Lalloo
Geoffrey Lindeman
Arto Mannermaa
Sara Margolin
Susan Neuhausen
William Newman
Paolo Peterlongo
Kelly-Anne Phillips
Miquel Angel Pujana
Johann Rantala
Karina Rønlund
Emmanouil Saloustros
Rita Schmutzler
andreas schneeweiss
Christian Singer
Maija Suvanto
Yen Yen Tan
Manuel Teixeira
Mads Thomassen
Marc Tischkowitz
Vishakha Tripathi
Barbara Wappenschmidt
Emily Zhao
Douglas Easton
Antonis Antoniou
Georgia Chenevix-Trench
Paul Pharoah
Marjanka Schmidt
Carl Blomqvist
Heli Nevanlinna
Publication Year :
2022
Publisher :
Research Square Platform LLC, 2022.

Abstract

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 under-estimated at the low end of the PREDICT score distribution, whereas at the high end, the mortality was over-estimated. 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.

Details

Database :
OpenAIRE
Accession number :
edsair.doi...........ed9e4fb7aa7bc535b99e69f919f62061
Full Text :
https://doi.org/10.21203/rs.3.rs-2269143/v1