Article

New variants at 10q26 and 15q21 are associated with aggressive prostate cancer in a genome-wide association study from a prostate biopsy screening cohort.

Division of Urology, Sunnybrook Research Institute, University of Toronto, ON, Canada.
Cancer biology & therapy (impact factor: 2.64). 12/2011; 12(11):997-1004. DOI:10.4161/cbt.12.11.18366 pp.997-1004
Source: PubMed

ABSTRACT To identify and examine polymorphisms of genes associated with aggressive and clinical significant forms of prostate cancer among a screening cohort.
We conducted a genome-wide association study among patients with aggressive forms of prostate cancer and biopsy-proven normal controls ascertained from a prostate cancer screening program. We then examined significant associations of specific polymorphisms among a prostate cancer screened cohort to examine their predictive ability in detecting prostate cancer.
We found significant associations between aggressive prostate cancer and five single nucleotide polymorphisms (SNPs) in the 10q26 (rs10788165, rs10749408, and rs10788165, p value for association 1.3 × 10(-10 ) to 3.2 × 10(-11) ) and 15q21 (rs4775302 and rs1994198, p values for association 3.1 × 10(-8 ) to 8.2 × 10(-9)) regions. Results of a replication study done in 3439 patients undergoing a prostate biopsy, revealed certain combinations of these SNPs to be significantly associated not only with prostate cancer but with aggressive forms of prostate cancer using an established classification criterion for prostate cancer progression (odds ratios for intermediate to high-risk disease 1.8-3.0, p value 0.003-0.001). These SNP combinations were also important clinical predictors for prostate cancer detection based on nomogram analysis that assesses prostate cancer risk.
Five SNPs were found to be associated with aggressive forms of prostate cancer. We demonstrated potential clinical applications of these associations.

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Keywords

3439 patients undergoing
 
aggressive prostate cancer
 
assesses prostate cancer risk
 
biopsy-proven normal controls ascertained
 
clinical predictors
 
clinical significant forms
 
detecting prostate cancer
 
established classification criterion
 
genome-wide association study
 
nomogram analysis
 
odds ratios
 
p value
 
potential clinical applications
 
prostate cancer detection
 
prostate cancer progression
 
prostate cancer screening program
 
screening cohort
 
significant associations
 
single nucleotide polymorphisms
 
specific polymorphisms