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The predictive ability of the 313 variant–based polygenic risk score for contralateral breast cancer risk prediction in women of European ancestry with a heterozygous BRCA1 or BRCA2 pathogenic variant

The predictive ability of the 313 variant–based polygenic risk score for contralateral breast cancer risk prediction in women of European ancestry with a heterozygous BRCA1 or BRCA2 pathogenic variant
The predictive ability of the 313 variant–based polygenic risk score for contralateral breast cancer risk prediction in women of European ancestry with a heterozygous BRCA1 or BRCA2 pathogenic variant

Purpose: To evaluate the association between a previously published 313 variant–based breast cancer (BC) polygenic risk score (PRS313) and contralateral breast cancer (CBC) risk, in BRCA1 and BRCA2 pathogenic variant heterozygotes. Methods: We included women of European ancestry with a prevalent first primary invasive BC (BRCA1 = 6,591 with 1,402 prevalent CBC cases; BRCA2 = 4,208 with 647 prevalent CBC cases) from the Consortium of Investigators of Modifiers of BRCA1/2 (CIMBA), a large international retrospective series. Cox regression analysis was performed to assess the association between overall and ER-specific PRS313 and CBC risk. Results: For BRCA1 heterozygotes the estrogen receptor (ER)-negative PRS313 showed the largest association with CBC risk, hazard ratio (HR) per SD = 1.12, 95% confidence interval (CI) (1.06–1.18), C-index = 0.53; for BRCA2 heterozygotes, this was the ER-positive PRS313, HR = 1.15, 95% CI (1.07–1.25), C-index = 0.57. Adjusting for family history, age at diagnosis, treatment, or pathological characteristics for the first BC did not change association effect sizes. For women developing first BC < age 40 years, the cumulative PRS313 5th and 95th percentile 10-year CBC risks were 22% and 32% for BRCA1 and 13% and 23% for BRCA2 heterozygotes, respectively. Conclusion: The PRS313 can be used to refine individual CBC risks for BRCA1/2 heterozygotes of European ancestry, however the PRS313 needs to be considered in the context of a multifactorial risk model to evaluate whether it might influence clinical decision-making.

1098-3600
1726-1737
Lakeman, Inge M.M.
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van den Broek, Alexandra J.
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Vos, Juliën A.M.
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Barnes, Daniel R.
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Caux-Moncoutier, Virginie
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Colas, Chrystelle
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Delnatte, Capucine
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Elan, Camille
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Faivre, Laurence
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Ferrer, Sandra Fert
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Gauthier-Villars, Marion
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Gesta, Paul
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Giraud, Sophie
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Houdayer, Claude
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Lasset, Christine
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Laurent, Maïté
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Longy, Michel
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Mari, Véronique
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Side, Lucy E.
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Eccles, Diana M.
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GEMO Study Collaborators
EMBRACE Collaborators
OCGN Investigators
HEBON Investigators
KConFab Investigators
Lakeman, Inge M.M.
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van den Broek, Alexandra J.
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Vos, Juliën A.M.
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Barnes, Daniel R.
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Adlard, Julian
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Andrulis, Irene L.
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Arason, Adalgeir
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Arnold, Norbert
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Arun, Banu K.
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Balmaña, Judith
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Barrowdale, Daniel
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Benitez, Javier
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Borg, Ake
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Caldés, Trinidad
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Caligo, Maria A.
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Chung, Wendy K.
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Belotti, Muriel
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Berthet, Pascaline
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Bignon, Yves Jean
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Bonadona, Valérie
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Bressac-de Paillerets, Brigitte
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Buecher, Bruno
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Caputo, Sandrine
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Caron, Olivier
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Castera, Laurent
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Caux-Moncoutier, Virginie
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Colas, Chrystelle
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Faivre, Laurence
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Ferrer, Sandra Fert
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Gauthier-Villars, Marion
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Gesta, Paul
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Giraud, Sophie
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Houdayer, Claude
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Lasset, Christine
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Laurent, Maïté
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Leroux, Dominique
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Longy, Michel
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Mari, Véronique
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Mazoyer, Sylvie
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Mebirouk, Noura
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Side, Lucy E.
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Eccles, Diana M.
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Lakeman, Inge M.M., van den Broek, Alexandra J., Vos, Juliën A.M., Barnes, Daniel R., Adlard, Julian, Andrulis, Irene L. and et al., , GEMO Study Collaborators, EMBRACE Collaborators, OCGN Investigators, HEBON Investigators and KConFab Investigators (2021) The predictive ability of the 313 variant–based polygenic risk score for contralateral breast cancer risk prediction in women of European ancestry with a heterozygous BRCA1 or BRCA2 pathogenic variant. Genetics in Medicine, 23 (9), 1726-1737. (doi:10.1038/s41436-021-01198-7).

Record type: Article

Abstract

Purpose: To evaluate the association between a previously published 313 variant–based breast cancer (BC) polygenic risk score (PRS313) and contralateral breast cancer (CBC) risk, in BRCA1 and BRCA2 pathogenic variant heterozygotes. Methods: We included women of European ancestry with a prevalent first primary invasive BC (BRCA1 = 6,591 with 1,402 prevalent CBC cases; BRCA2 = 4,208 with 647 prevalent CBC cases) from the Consortium of Investigators of Modifiers of BRCA1/2 (CIMBA), a large international retrospective series. Cox regression analysis was performed to assess the association between overall and ER-specific PRS313 and CBC risk. Results: For BRCA1 heterozygotes the estrogen receptor (ER)-negative PRS313 showed the largest association with CBC risk, hazard ratio (HR) per SD = 1.12, 95% confidence interval (CI) (1.06–1.18), C-index = 0.53; for BRCA2 heterozygotes, this was the ER-positive PRS313, HR = 1.15, 95% CI (1.07–1.25), C-index = 0.57. Adjusting for family history, age at diagnosis, treatment, or pathological characteristics for the first BC did not change association effect sizes. For women developing first BC < age 40 years, the cumulative PRS313 5th and 95th percentile 10-year CBC risks were 22% and 32% for BRCA1 and 13% and 23% for BRCA2 heterozygotes, respectively. Conclusion: The PRS313 can be used to refine individual CBC risks for BRCA1/2 heterozygotes of European ancestry, however the PRS313 needs to be considered in the context of a multifactorial risk model to evaluate whether it might influence clinical decision-making.

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Accepted/In Press date: 26 April 2021
Published date: 10 June 2021
Additional Information: Publisher Copyright: © 2021, The Author(s). Copyright: Copyright 2021 Elsevier B.V., All rights reserved.

Identifiers

Local EPrints ID: 452125
URI: http://eprints.soton.ac.uk/id/eprint/452125
ISSN: 1098-3600
PURE UUID: f406770f-be12-4040-ad4b-a92130fde0dd
ORCID for Diana M. Eccles: ORCID iD orcid.org/0000-0002-9935-3169

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Date deposited: 25 Nov 2021 16:59
Last modified: 17 Mar 2024 02:36

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Contributors

Author: Inge M.M. Lakeman
Author: Alexandra J. van den Broek
Author: Juliën A.M. Vos
Author: Daniel R. Barnes
Author: Julian Adlard
Author: Irene L. Andrulis
Author: et al.
Author: Adalgeir Arason
Author: Norbert Arnold
Author: Banu K. Arun
Author: Judith Balmaña
Author: Daniel Barrowdale
Author: Javier Benitez
Author: Ake Borg
Author: Trinidad Caldés
Author: Maria A. Caligo
Author: Wendy K. Chung
Author: Kathleen B.M. Claes
Author: Emmanuelle Barouk-Simonet
Author: Muriel Belotti
Author: Pascaline Berthet
Author: Yves Jean Bignon
Author: Valérie Bonadona
Author: Brigitte Bressac-de Paillerets
Author: Bruno Buecher
Author: Sandrine Caputo
Author: Olivier Caron
Author: Laurent Castera
Author: Virginie Caux-Moncoutier
Author: Chrystelle Colas
Author: Marie Agnès Collonge-Rame
Author: Isabelle Coupier
Author: Antoine de Pauw
Author: Capucine Delnatte
Author: Camille Elan
Author: Laurence Faivre
Author: Sandra Fert Ferrer
Author: Marion Gauthier-Villars
Author: Paul Gesta
Author: Sophie Giraud
Author: Lisa Golmard
Author: Claude Houdayer
Author: Christine Lasset
Author: Maïté Laurent
Author: Dominique Leroux
Author: Michel Longy
Author: Véronique Mari
Author: Sylvie Mazoyer
Author: Noura Mebirouk
Author: Lucy E. Side
Author: Diana M. Eccles ORCID iD
Corporate Author: GEMO Study Collaborators
Corporate Author: EMBRACE Collaborators
Corporate Author: OCGN Investigators
Corporate Author: HEBON Investigators
Corporate Author: KConFab Investigators

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