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Sci Rep. 2017 Aug 21;7(1):8994. doi: 10.1038/s41598-017-09386-9.

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

Author information

1
CIBER Epidemiologia y Salud Publica (CIBERESP), Madrid, Spain. ines.gomez@unican.es.
2
University of Cantabria - IDIVAL, Santander, Spain. ines.gomez@unican.es.
3
CIBER Epidemiologia y Salud Publica (CIBERESP), Madrid, Spain.
4
University of Cantabria - IDIVAL, Santander, Spain.
5
Cancer and Environmental Epidemiology Unit, National Center for Epidemiology, Carlos III Institute of Health, Madrid, Spain.
6
Cancer Prevention and Control Program, Catalan Institute of Oncology-IDIBELL, and University of Barcelona, Barcelona, Spain.
7
Cancer Epidemiology Research Group. Oncology and Hematology Area. IIS Puerta de Hierro (IDIPHIM), Madrid, Spain.
8
ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain.
9
Universitat Pompeu Fabra (UPF), Barcelona, Spain.
10
IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain.
11
Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), Hospitales, Granada, Spain.
12
Urology Department, La Fe University Hospital, Avinguda de Fernando Abril Martorell 106, 46026, Valencia, Spain.
13
Urology Department, Hospital Germans Trias i Pujol, Carretera de Canyet, S/N, 08916, Badalona, Barcelona, Spain.

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.

PMID:
28827750
PMCID:
PMC5566549
DOI:
10.1038/s41598-017-09386-9
[Indexed for MEDLINE]
Free PMC Article

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