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

Taru A MuranenAnna MorraSofia KhanDaniel R BarnesManjeet K BollaJoe G DennisRenske KeemanGoska LeslieMichael T ParsonsQin WangThomas U AhearnKristiina AittomäkiIrene L AndrulisBanu K ArunSabine BehrensKatarzyna BialkowskaStig E BojesenNicola J CampJenny Chang-ClaudeKamila CzenePeter Devileenull nullSusan M DomchekAlison M DunningChristoph EngelDafydd Gareth EvansManuela Gago-DominguezMontserrat Garcia-ClosasAnne-Marie GerdesGord GlendonPascal GuénelEric HahnenUte HamannHelen HansonMaartje J HooningReiner HoppeLouise IzattAnna JakubowskaPaul A JamesVessela N KristensenFiona LallooGeoffrey J LindemanArto MannermaaSara MargolinSusan L NeuhausenWilliam G NewmanPaolo PeterlongoKelly-Anne PhillipsMiquel Angel PujanaJohanna RantalaKarina RønlundEmmanouil SaloustrosRita K SchmutzlerAndreas SchneeweissChristian F SingerMaija SuvantoYen Yen TanManuel R TeixeiraMads ThomassenMarc TischkowitzVishakha TripathiBarbara WappenschmidtEmily ZhaoDouglas F EastonAntonis C AntoniouGeorgia Chenevix-TrenchPaul D P PharoahMarjanka K SchmidtCarl BlomqvistHeli Nevanlinna
Published in: NPJ breast cancer (2023)
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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