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

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...

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Autores principales:	Inés Gómez-Acebo, Trinidad Dierssen-Sotos, Pablo Fernandez-Navarro, Camilo Palazuelos, Víctor Moreno, Nuria Aragonés, Gemma Castaño-Vinyals, Jose J. Jiménez-Monleón, Jose Luis Ruiz-Cerdá, Beatriz Pérez-Gómez, José Manuel Ruiz-Dominguez, Jessica Alonso Molero, Marina Pollán, Manolis Kogevinas, Javier Llorca
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/bdc903529d5749ccb3971648fbfc08d0
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spelling	oai:doaj.org-article:bdc903529d5749ccb3971648fbfc08d02021-12-02T11:40:50ZRisk Model for Prostate Cancer Using Environmental and Genetic Factors in the Spanish Multi-Case-Control (MCC) Study10.1038/s41598-017-09386-92045-2322https://doaj.org/article/bdc903529d5749ccb3971648fbfc08d02017-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-09386-9https://doaj.org/toc/2045-2322Abstract 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.Inés Gómez-AceboTrinidad Dierssen-SotosPablo Fernandez-NavarroCamilo PalazuelosVíctor MorenoNuria AragonésGemma Castaño-VinyalsJose J. Jiménez-MonleónJose Luis Ruiz-CerdáBeatriz Pérez-GómezJosé Manuel Ruiz-DominguezJessica Alonso MoleroMarina PollánManolis KogevinasJavier LlorcaNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-10 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Inés Gómez-Acebo Trinidad Dierssen-Sotos Pablo Fernandez-Navarro Camilo Palazuelos Víctor Moreno Nuria Aragonés Gemma Castaño-Vinyals Jose J. Jiménez-Monleón Jose Luis Ruiz-Cerdá Beatriz Pérez-Gómez José Manuel Ruiz-Dominguez Jessica Alonso Molero Marina Pollán Manolis Kogevinas Javier Llorca Risk Model for Prostate Cancer Using Environmental and Genetic Factors in the Spanish Multi-Case-Control (MCC) Study
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.
format	article
author	Inés Gómez-Acebo Trinidad Dierssen-Sotos Pablo Fernandez-Navarro Camilo Palazuelos Víctor Moreno Nuria Aragonés Gemma Castaño-Vinyals Jose J. Jiménez-Monleón Jose Luis Ruiz-Cerdá Beatriz Pérez-Gómez José Manuel Ruiz-Dominguez Jessica Alonso Molero Marina Pollán Manolis Kogevinas Javier Llorca
author_facet	Inés Gómez-Acebo Trinidad Dierssen-Sotos Pablo Fernandez-Navarro Camilo Palazuelos Víctor Moreno Nuria Aragonés Gemma Castaño-Vinyals Jose J. Jiménez-Monleón Jose Luis Ruiz-Cerdá Beatriz Pérez-Gómez José Manuel Ruiz-Dominguez Jessica Alonso Molero Marina Pollán Manolis Kogevinas Javier Llorca
author_sort	Inés Gómez-Acebo
title	Risk Model for Prostate Cancer Using Environmental and Genetic Factors in the Spanish Multi-Case-Control (MCC) Study
title_short	Risk Model for Prostate Cancer Using Environmental and Genetic Factors in the Spanish Multi-Case-Control (MCC) Study
title_full	Risk Model for Prostate Cancer Using Environmental and Genetic Factors in the Spanish Multi-Case-Control (MCC) Study
title_fullStr	Risk Model for Prostate Cancer Using Environmental and Genetic Factors in the Spanish Multi-Case-Control (MCC) Study
title_full_unstemmed	Risk Model for Prostate Cancer Using Environmental and Genetic Factors in the Spanish Multi-Case-Control (MCC) Study
title_sort	risk model for prostate cancer using environmental and genetic factors in the spanish multi-case-control (mcc) study
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/bdc903529d5749ccb3971648fbfc08d0
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Risk Model for Prostate Cancer Using Environmental and Genetic Factors in the Spanish Multi-Case-Control (MCC) Study

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