Risk Model for Prostate Cancer Using Environmental and Genetic Factors in the Spanish Multi-Case-Control (MCC) Study

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  • dc.contributor.author Gómez-Acebo, Inésca
  • dc.contributor.author Dierssen Sotos, Trinidadca
  • dc.contributor.author Fernández-Navarro, Pabloca
  • dc.contributor.author Palazuelos, Camiloca
  • dc.contributor.author Moreno, Víctorca
  • dc.contributor.author Aragonés, Núriaca
  • dc.contributor.author Castaño Vinyals, Gemmaca
  • dc.contributor.author Jiménez-Moleón, José Juanca
  • dc.contributor.author Ruiz-Cerdá, Jose Luisca
  • dc.contributor.author Pérez-Gómez, Beatrizca
  • dc.contributor.author Ruiz Dominguez, José Manuelca
  • dc.contributor.author Alonso Molero, Jessicaca
  • dc.contributor.author Pollan, Marinaca
  • dc.contributor.author Kogevinas, Manolisca
  • dc.contributor.author Llorca, Javierca
  • dc.date.accessioned 2018-07-25T06:44:41Z
  • dc.date.available 2018-07-25T06:44:41Z
  • dc.date.issued 2017
  • dc.description.abstract Prostate cancer (PCa) is the second most common cancer among men worldwide. Its etiology remains largely unknown compared to other common cancers. We have developed a risk stratification model combining environmental factors with family history and genetic susceptibility. 818 PCa cases and 1,006 healthy controls were compared. Subjects were interviewed on major lifestyle factors and family history. Fifty-six PCa susceptibility SNPs were genotyped. Risk models based on logistic regression were developed to combine environmental factors, family history and a genetic risk score. In the whole model, compared with subjects with low risk (reference category, decile 1), those carrying an intermediate risk (decile 5) had a 265% increase in PCa risk (OR = 3.65, 95% CI 2.26 to 5.91). The genetic risk score had an area under the ROC curve (AUROC) of 0.66 (95% CI 0.63 to 0.68). When adding the environmental score and family history to the genetic risk score, the AUROC increased by 0.05, reaching 0.71 (95% CI 0.69 to 0.74). Genetic susceptibility has a stronger risk value of the prediction that modifiable risk factors. While the added value of each SNP is small, the combination of 56 SNPs adds to the predictive ability of the risk model.
  • dc.format.mimetype application/pdf
  • dc.identifier.citation Gómez-Acebo I, Dierssen-Sotos T, Fernandez-Navarro P, Palazuelos C, Moreno V, Aragonés N et al. Risk Model for Prostate Cancer Using Environmental and Genetic Factors in the Spanish Multi-Case-Control (MCC) Study. Sci Rep. 2017 Aug 21;7(1):8994. DOI: 10.1038/s41598-017-09386-9
  • dc.identifier.doi http://dx.doi.org/10.1038/s41598-017-09386-9
  • dc.identifier.issn 2045-2322
  • dc.identifier.uri http://hdl.handle.net/10230/35258
  • dc.language.iso eng
  • dc.publisher Nature Publishing Groupca
  • dc.relation.ispartof Scientific Reports. 2017 Aug 21;7(1):8994
  • dc.rights Copyright © The Author(s) 2017. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
  • dc.rights.accessRights info:eu-repo/semantics/openAccess
  • dc.rights.uri http://creativecommons.org/licenses/by/4.0/
  • dc.subject.other Pròstata -- Càncer
  • dc.title Risk Model for Prostate Cancer Using Environmental and Genetic Factors in the Spanish Multi-Case-Control (MCC) Studyca
  • dc.type info:eu-repo/semantics/article
  • dc.type.version info:eu-repo/semantics/publishedVersion