2024-03-29T05:17:44Zhttp://repisalud.isciii.es/oai/requestoai:repisalud.isciii.es:20.500.12105/91562022-10-13T13:44:00Zcom_20.500.12105_2053com_20.500.12105_2052com_20.500.12105_2051col_20.500.12105_2054
Repisalud
author
Gómez-Acebo, Inés
author
Dierssen-Sotos, Trinidad
author
Fernandez-Navarro, Pablo L
author
Palazuelos, Camilo
author
Moreno, Víctor
author
Aragones, Nuria
author
Castaño-Vinyals, Gemma
author
Jimenez-Moleon, Jose J.
author
Ruiz-Cerdá, Jose Luis
author
Perez-Gomez, Beatriz
author
Ruiz-Dominguez, José Manuel
author
Molero, Jessica Alonso
author
Pollan-Santamaria, Marina
author
Kogevinas, Manolis
author
Llorca, Javier
funder
Instituto de Salud Carlos III
funder
Unión Europea. Fondo Europeo de Desarrollo Regional (FEDER/ERDF)
funder
Fundación Marqués de Valdecilla
funder
Junta de Castilla y León (España)
funder
Regional Government of Andalusia (España)
funder
Generalitat Valenciana (España)
funder
Fundación La Caixa
funder
Basque Government (España)
funder
Gobierno de la Región de Murcia (España)
funder
Unión Europea. Comisión Europea
funder
Asociación Española Contra el Cáncer
funder
Government of Catalonia (España)
funder
Fundación Caja de Ahorros de Asturias
funder
University of Oviedo (España)
2020-02-28T07:58:24Z
2020-02-28T07:58:24Z
2017
Sci Rep. 2017 Aug 21;7(1):8994
2045-2322
http://hdl.handle.net/20.500.12105/9156
28827750
10.1038/s41598-017-09386-9
2045-2322
Scientific reports
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.
eng
Risk Model for Prostate Cancer Using Environmental and Genetic Factors in the Spanish Multi-Case-Control (MCC) Study
journal article
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URL
https://repisalud.isciii.es/bitstream/20.500.12105/9156/1/RiskModelForProstate_2017.pdf
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https://repisalud.isciii.es/bitstream/20.500.12105/9156/5/RiskModelForProstate_2017.pdf.txt
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RiskModelForProstate_2017.pdf.txt