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@ARTICLE{Muranen:276076,
author = {T. A. Muranen and A. Morra and S. Khan and D. R. Barnes and
M. K. Bolla and J. Dennis and R. Keeman and G. Leslie and M.
T. Parsons and Q. Wang and T. U. Ahearn and K. Aittomäki
and I. L. Andrulis and B. K. Arun and S. Behrens$^*$ and K.
Bialkowska and S. E. Bojesen and N. J. Camp and J.
Chang-Claude$^*$ and K. Czene and P. Devilee and S. M.
Domchek and A. M. Dunning and C. Engel and D. G. Evans and
M. Gago-Dominguez and M. García-Closas and A.-M. Gerdes and
G. Glendon and P. Guénel and E. Hahnen and U. Hamann$^*$
and H. Hanson and M. J. Hooning and R. Hoppe and L. Izatt
and A. Jakubowska and P. A. James and V. N. Kristensen and
F. Lalloo and G. J. Lindeman and A. Mannermaa and S.
Margolin and S. L. Neuhausen and W. G. Newman and P.
Peterlongo and K.-A. Phillips and M. A. Pujana and J.
Rantala and K. Rønlund and E. Saloustros and R. K.
Schmutzler and A. Schneeweiss and C. F. Singer and M.
Suvanto and Y. Y. Tan and M. R. Teixeira and M. Thomassen
and M. Tischkowitz and V. Tripathi and B. Wappenschmidt and
E. Zhao and D. F. Easton and A. C. Antoniou and G.
Chenevix-Trench and P. D. P. Pharoah and M. K. Schmidt and
C. Blomqvist and H. Nevanlinna},
collaboration = {H. investigators},
title = {{PREDICT} validity for prognosis of breast cancer patients
with pathogenic {BRCA}1/2 variants.},
journal = {npj Breast cancer},
volume = {9},
number = {1},
issn = {2374-4677},
address = {London},
publisher = {Nature Publ. Group},
reportid = {DKFZ-2023-00982},
pages = {37},
year = {2023},
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 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.},
cin = {C020 / B072 / B070},
ddc = {610},
cid = {I:(DE-He78)C020-20160331 / I:(DE-He78)B072-20160331 /
I:(DE-He78)B070-20160331},
pnm = {312 - Funktionelle und strukturelle Genomforschung
(POF4-312)},
pid = {G:(DE-HGF)POF4-312},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:37173335},
pmc = {pmc:PMC10182045},
doi = {10.1038/s41523-023-00546-x},
url = {https://inrepo02.dkfz.de/record/276076},
}