ArticleScientific reports2017
Risk Model for Prostate Cancer Using Environmental and Genetic Factors in the Spanish Multi-Case-Control (MCC) Study.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Role of circulating MicroRNAs in prostate cancer diagnosis and risk stratification in the MCC Spain study.Scientific reports · 2025Article
- Racial disparities in prostate cancer in the UK and the USA: similarities, differences and steps forwards.Nature reviews. Urology · 2025Review
- Fabrication of zinc oxide nanoparticles usingOpen life sciences · 2025Article
- Review
- Prostate cancer genotyping for risk stratification and precision treatment.Current urology · 2024Review
- Cigarette smoking and prostate cancer: A systematic review and meta-analysis of prospective cohort studies.Tobacco induced diseases · 2023Review
- A polygenic risk score for nasopharyngeal carcinoma shows potential for risk stratification and personalized screening.Nature communications · 2022Article
- Targeted Mass Spectrometry of a Clinically Relevant PSA Variant from Post-DRE Urines for Quantitation and Genotype Determination.Proteomics. Clinical applications · 2020Article
- Prevalence and Factors Associated with High Concentration of Prostate-Specific Antigen: ELSIA Study.Biology · 2020Article
- Post-GWAS in prostate cancer: from genetic association to biological contribution.Nature reviews. Cancer · 2019Review
- Article
- Prediction of leprosy in the Chinese population based on a weighted genetic risk score.PLoS neglected tropical diseases · 2018Article
- Article
- Molecular mechanisms involving prostate cancer racial disparity.American journal of clinical and experimental urology · 2017Review
Corrections and comments
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Authors and funding
15 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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