Validating a breast cancer score in Spanish women. The MCC-Spain study

A breast-risk score, published in 2016, was developed in white-American women using 92 genetic variants (GRS92), modifiable and non-modifiable risk factors. With the aim of validating the score in the Spanish population, 1,732 breast cancer cases and 1,910 controls were studied. The GRS92, modifiable and non-modifiable risk factor scores were estimated via logistic regression. SNPs without available genotyping were simulated as in the aforementioned 2016 study. The full model score was obtained by combining GRS92, modifiable and non-modifiable risk factor scores. Score performances were tested via the area under the ROC curve (AUROC), net reclassification index (NRI) and integrated discrimination improvement (IDI). Compared with non-modifiable and modifiable factor scores, GRS92 had higher discrimination power (AUROC: 0.6195, 0.5885 and 0.5214, respectively). Adding the non-modifiable factor score to GRS92 improved patient classification by 23.6% (NRI = 0.236), while the modifiable factor score only improved it by 7.2%. The full model AUROC reached 0.6244. A simulation study showed the ability of the full model for identifying women at high risk for breast cancer. In conclusion, a model combining genetic and risk factors can be used for stratifying women by their breast cancer risk, which can be applied to individualizing genetic counseling and screening recommendations.

Errataetall:

ErratumIn: Sci Rep. 2020 Apr 1;10(1):5980. - PMID 32238823

Medienart:

E-Artikel

Erscheinungsjahr:

2018

Erschienen:

2018

Enthalten in:

Zur Gesamtaufnahme - volume:8

Enthalten in:

Scientific reports - 8(2018), 1 vom: 14. Feb., Seite 3036

Sprache:

Englisch

Beteiligte Personen:

Dierssen-Sotos, Trinidad [VerfasserIn]
Gómez-Acebo, Inés [VerfasserIn]
Palazuelos, Camilo [VerfasserIn]
Fernández-Navarro, Pablo [VerfasserIn]
Altzibar, Jone M [VerfasserIn]
González-Donquiles, Carmen [VerfasserIn]
Ardanaz, Eva [VerfasserIn]
Bustamante, Mariona [VerfasserIn]
Alonso-Molero, Jessica [VerfasserIn]
Vidal, Carmen [VerfasserIn]
Bayo-Calero, Juan [VerfasserIn]
Tardón, Adonina [VerfasserIn]
Salas, Dolores [VerfasserIn]
Marcos-Gragera, Rafael [VerfasserIn]
Moreno, Víctor [VerfasserIn]
Rodriguez-Cundin, Paz [VerfasserIn]
Castaño-Vinyals, Gemma [VerfasserIn]
Ederra, María [VerfasserIn]
Vilorio-Marqués, Laura [VerfasserIn]
Amiano, Pilar [VerfasserIn]
Pérez-Gómez, Beatriz [VerfasserIn]
Aragonés, Nuria [VerfasserIn]
Kogevinas, Manolis [VerfasserIn]
Pollán, Marina [VerfasserIn]
Llorca, Javier [VerfasserIn]

Links:

Volltext

Themen:

Journal Article
Research Support, Non-U.S. Gov't

Anmerkungen:

Date Completed 29.10.2019

Date Revised 07.12.2022

published: Electronic

ErratumIn: Sci Rep. 2020 Apr 1;10(1):5980. - PMID 32238823

Citation Status MEDLINE

doi:

10.1038/s41598-018-20832-0

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM28103852X