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Risk Model for Prostate Cancer Using Environmental and Genetic Factors in the Spanish Multi-Case- Control (MCC) Study
- Source :
- Dipòsit Digital de Documents de la UAB, Universitat Autònoma de Barcelona, Recercat. Dipósit de la Recerca de Catalunya, instname, Repisalud, Instituto de Salud Carlos III (ISCIII), Sci Rep. 2017 Aug 21;7(1):8994, UCrea Repositorio Abierto de la Universidad de Cantabria, Universidad de Cantabria (UC), Scientific Reports, Vol 7, Iss 1, Pp 1-10 (2017), Scientific Reports, Dipòsit Digital de la UB, Universidad de Barcelona, SCIENTIFIC REPORTS, r-IIS La Fe. Repositorio Institucional de Producción Científica del Instituto de Investigación Sanitaria La Fe, Repositorio Institucional de la Consejería de Sanidad de la Comunidad de Madrid, Consejería de Sanidad de la Comunidad de Madrid
- Publication Year :
- 2017
-
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. Biological samples were stored at the biobanks supported by Instituto de Salud Carlos III- FEDER: Parc de Salut MAR Biobank (MARBiobanc) (), ‘Biobanco La Fe’ () and FISABIO Biobank (), as well as at the Public Health Laboratory of Gipuzkoa, the Basque Biobank, the ICOBIOBANC (sponsored by the Catalan Institute of Oncology), the IUOPA Biobank of the University of Oviedo, and the ISCIII Biobank. SNP genotyping services were provided by the Spanish ‘Centro Nacional de Genotipado’ (CEGEN-ISCIII). We thank all the subjects who participated in the study and all MCC-Spain collaborators. This work was supported by the ‘Acción Transversal del Cancer’, approved by the Spanish Ministry Council on the 11th October 2007, by the Instituto de Salud Carlos III, co-founded by FEDER funds –‘a way to build Europe’ (grants , , , , , , , , , , ,, , , , , , , , , and ). Support was also provided by the Fundación Marqués de Valdecilla (grant ); the Junta de Castilla y León (grant ); the Consejería de Salud of the Junta de Andalucía (); the Conselleria de Sanitat of the Generalitat Valenciana (grant ); the Recercaixa (grant ); the Regional Government of the Basque Country; the Consejería de Sanidad de la Región de Murcia; European Commission grants ; the Spanish Association Against Cancer (AECC) Scientific Foundation; the Catalan Government DURSI (grant ); the Fundación Caja de Ahorros de Asturias; the University of Oviedo; Societat Catalana de Digestologia; and COST action Eucolongene. The authors thank the “Bioinformatics and Research Group in Genetic and Environmental Epidemiology” (BRG-GEE) of the Cancer and Environmental Epidemiology Unit in III Institute of Health (ISCIII), Spain, for their technical scientific support (Group consisting of Pablo Fernández-Navarro (group leader), Mario González-Sánchez (bioinformatic), Javier González-Palacios (bioinformatic)). Sí
- Subjects :
- 0301 basic medicine
Male
Epidemiology
Logistic regression
computer.software_genre
Decile
Prostate cancer
0302 clinical medicine
Human genetics
Risk Factors
Medicine
Family history
Natural environment
Pròstata -- Càncer
Aged, 80 and over
Multidisciplinary
Genètica humana
Factors de risc en les malalties
Men
Middle Aged
030220 oncology & carcinogenesis
Data mining
Adult
medicine.medical_specialty
Genotype
Risk factors in diseases
Science
Medi ambient
Single-nucleotide polymorphism
Polymorphism, Single Nucleotide
Article
03 medical and health sciences
Young Adult
Genetic predisposition
Genetics
Humans
Genetic Predisposition to Disease
Espanya
Epidemiologia
Aged
Models, Statistical
Càncer de pròstata
business.industry
Cancer
Prostatic Neoplasms
Environmental Exposure
medicine.disease
030104 developmental biology
Homes
ROC Curve
Spain
business
computer
Genètica
Demography
Subjects
Details
- ISSN :
- 20452322
- Database :
- OpenAIRE
- Journal :
- Dipòsit Digital de Documents de la UAB, Universitat Autònoma de Barcelona, Recercat. Dipósit de la Recerca de Catalunya, instname, Repisalud, Instituto de Salud Carlos III (ISCIII), Sci Rep. 2017 Aug 21;7(1):8994, UCrea Repositorio Abierto de la Universidad de Cantabria, Universidad de Cantabria (UC), Scientific Reports, Vol 7, Iss 1, Pp 1-10 (2017), Scientific Reports, Dipòsit Digital de la UB, Universidad de Barcelona, SCIENTIFIC REPORTS, r-IIS La Fe. Repositorio Institucional de Producción Científica del Instituto de Investigación Sanitaria La Fe, Repositorio Institucional de la Consejería de Sanidad de la Comunidad de Madrid, Consejería de Sanidad de la Comunidad de Madrid
- Accession number :
- edsair.doi.dedup.....34b8772254d3e8fb4a4655280cb46997