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http://hdl.handle.net/2445/121222
Title: | Validating a breast cancer score in Spanish women. The MCC-Spain study |
Author: | Dierssen Sotos, Trinidad Gómez Acebo, Inés Palazuelos-Calderón, Camilo Fernández Navarro, Pablo Altzibar, Jone M. González Donquiles, Carmen Ardanaz, Eva Bustamante Pineda, Mariona Alonso-Molero, Jéssica Vidal Lancis, Maria Carmen Bayo Calero, Juan Tardón, Adonina Salas Trejo, María Dolores Marcos Gragera, Rafael Moreno Aguado, Víctor Rodriguez-Cundin, Paz Castaño-Vinyals, Gemma Ederra, María Vilorio-Marqués, Laura Amiano, Pilar Pérez Gómez, Beatriz Aragonès Sanz, Núria Kogevinas, Manolis Pollán, Marina Llorca Díaz, Javier |
Keywords: | Càncer de mama Dones Espanya Factors de risc en les malalties Breast cancer Women Spain Risk factors in diseases |
Issue Date: | 14-Feb-2018 |
Publisher: | Nature Publishing Group |
Abstract: | 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. |
Note: | Reproducció del document publicat a: https://doi.org/10.1038/s41598-018-20832-0 |
It is part of: | Scientific Reports, 2018, vol. 8, p. 3036 |
URI: | http://hdl.handle.net/2445/121222 |
Related resource: | https://doi.org/10.1038/s41598-018-20832-0 |
ISSN: | 2045-2322 |
Appears in Collections: | Articles publicats en revistes (Ciències Clíniques) Articles publicats en revistes (ISGlobal) Articles publicats en revistes (Institut d'lnvestigació Biomèdica de Bellvitge (IDIBELL)) |
Files in This Item:
File | Description | Size | Format | |
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679246.pdf | Original Article | 1.91 MB | Adobe PDF | View/Open |
CorrectionDierssen_Totos_T_Sci_Rep_2020.pdf | Author Correction | 618.25 kB | Adobe PDF | View/Open |
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