Validating a breast cancer score in Spanish women. The MCC-Spain study
Autor: | Gemma Castaño-Vinyals, Pablo Fernández-Navarro, Juan Bayo-Calero, Manolis Kogevinas, Jone M. Altzibar, Camilo Palazuelos, Paz Rodríguez-Cundín, Carmen González-Donquiles, Mariona Bustamante, Nuria Aragonés, Inés Gómez-Acebo, Beatriz Pérez-Gómez, Victor Moreno, Eva Ardanaz, María Ederra, Dolores Salas, Marina Pollán, Rafael Marcos-Gragera, Trinidad Dierssen-Sotos, Carmen Vidal, Laura Vilorio-Marqués, Javier Llorca, Jéssica Alonso-Molero, Pilar Amiano, Adonina Tardón |
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Přispěvatelé: | Instituto de Salud Carlos III, Unión Europea. Fondo Europeo de Desarrollo Regional (FEDER/ERDF), Fundación Marqués de Valdecilla, Ministerio de Economía y Competitividad (España), Red Temática de Investigación Cooperativa en Cáncer (España), Junta de Castilla y León (España), Regional Government of Andalusia (España), Generalitat Valenciana (España), Fundación La Caixa, Basque Government (España), Unión Europea. Comisión Europea, Asociación Española Contra el Cáncer, Universidad de Cantabria, Universitat de Barcelona |
Rok vydání: | 2018 |
Předmět: |
0301 basic medicine
lcsh:Medicine Dones Spanish women Logistic regression Breast cancer 0302 clinical medicine Risk Factors Mass Screening Breast -- Epidemiology Breast -- Cancer lcsh:Science Multidisciplinary Factors de risc en les malalties MCC-Spain Area Under Curve 030220 oncology & carcinogenesis Female medicine.medical_specialty Risk factors in diseases Breast cancer score Factor score Genetic counseling European Continental Ancestry Group Breast Neoplasms Single-nucleotide polymorphism Polymorphism Single Nucleotide Risk Assessment Article White People Càncer de mama Càncer -- Epidemiologia 03 medical and health sciences Internal medicine medicine Humans Genetic Predisposition to Disease Women Genetic Testing Espanya Risk factor Author Correction Genotyping Models Statistical business.industry lcsh:R Reproducibility of Results medicine.disease Spanish population Logistic Models 030104 developmental biology ROC Curve Spain Case-Control Studies Mama -- Càncer lcsh:Q business |
Zdroj: | Dipòsit Digital de la UB Universidad de Barcelona Scientific Reports Arias Montano. Repositorio Institucional de la Universidad de Huelva instname Recercat. Dipósit de la Recerca de Catalunya Scopus Repisalud Instituto de Salud Carlos III (ISCIII) Scientific Reports, 2018, vol. 8, art. 3036 Articles publicats (D-I) DUGiDocs – Universitat de Girona Sci Rep. 2018 Feb 14;8(1):3036 UCrea Repositorio Abierto de la Universidad de Cantabria Universidad de Cantabria (UC) RUO. Repositorio Institucional de la Universidad de Oviedo SCIENTIFIC REPORTS r-FISABIO. Repositorio Institucional de Producción Científica Scientific Reports, Vol 8, Iss 1, Pp 1-8 (2018) r-FISABIO: Repositorio Institucional de Producción Científica Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana (FISABIO) Repositorio Institucional de la Consejería de Sanidad de la Comunidad de Madrid Consejería de Sanidad de la Comunidad de Madrid |
ISSN: | 2045-2322 |
Popis: | 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. The study was partially funded by the "Accion Transversal del Cancer" project, approved by the Spanish Council of Ministers on the 11th October 2007, by the Instituto de Salud Carlos III-FEDER (PI08/1770, PI08/0533, PI08/1359, PI09/00773-Cantabria, PI09/01286-Leon, PI09/01903-Valencia, PI09/02078-Huelva, PI09/01662-Granada, PI11/01403, PI11/01889-FEDER, PI11/00226, PI11/01810, PI11/02213, PI12/00488, PI12/00265, PI12/01270, PI12/00715, PI12/00150, PI14/01219), by the Fundacion Marques de Valdecilla (API 10/09), by the ICGC International Cancer Genome Consortium CLL (The ICGC CLL-Genome Project is funded by Spanish Ministerio de Economia y Competitividad (MINECO) through the Instituto de Salud Carlos III (ISCIII) and Red Tematica de Investigacion del Cancer (RTICC) del ISCIII (RD12/0036/0036)), by the Junta de Castilla y Leon (LE22A10-2), by the Consejeria de Salud of the Junta de Andalucia (2009-S0143), by the Conselleria de Sanitat of the Generalitat Valenciana (AP_061/10), by the Recercaixa (2010ACUP 00310), by the Regional Government of the Basque Country, by the European Commission grants FOOD-CT-2006-036224-HIWATE, by the Spanish Association Against Cancer (AECC) Scientific Foundation and by the Catalan Government DURSI grant 2009SGR1489. |
Databáze: | OpenAIRE |
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