Impact of Body Mass Index, Age, Prostate Volume, and Genetic Polymorphisms on Prostate-specific Antigen Levels in a Control Population.

UNLABELLED: Prostate-specific antigen (PSA) is still the cornerstone of prostate cancer (PCa) screening and diagnosis in both research and current clinical practice. Inaccuracy of PSA is partly due to the influence of a number of genetic, clinical, and biological factors modifying PSA blood levels. In the present study, we detailed the respective influence of each factor among age, body mass index (BMI), prostate volume, and five single-nucleotide polymorphisms-rs10788160 (10q26), rs10993994 (10q11), rs11067228 (12q24), rs17632542 (19q13.33), and rs2928679 (8p21)-on PSA values in a cohort of 1374 men without PCa. Our results show that genetic factors, when risk variants are combined, influence PSA levels with an effect size similar to that of BMI. Taken together, the respective correlations of clinical parameters and genetic parameters would make it possible to correct and adjust PSA values more effectively in each individual. These results establish the basis to understand and implement a more personalised approach for the interpretation of PSA blood levels in the context of PCa screening and diagnosis. PATIENT SUMMARY: Prostate-specific antigen (PSA) values in an individual may vary according to genetic predisposition. The effect size of this variation can be significant, comparable with those resulting from clinical characteristics. Personalised PSA testing should take this into account.

Region 2 of 8q24 is associated with the risk of aggressive prostate cancer in Caribbean men of African descent from Guadeloupe (French West Indies).

Multiple regions of the genome have been associated with the risk of prostate cancer in Caucasians, particularly including several polymorphisms located at 8q24. Region 2 of 8q24 has been repeatedly found to be associated with the risk of prostate cancer among men of African descent, although one study performed in the Caribbean island of Jamaica did not report this finding. In this study, the single nucleotide polymorphism rs16901979, located in region 2 of 8q24, was genotyped in 498 cases of histologically confirmed prostate cancer and 541 controls from the French Caribbean islands of Guadeloupe, where the population is largely of African descent. The AA genotype and the A allele at rs16901979 were associated with elevated risks of prostate cancer (odds ratios [ORs] = 1.84, 95% confidence interval [95% CI] = 1.26-2.69, P = 0.002 and OR = 1.36, 95% CI = 1.13-1.64, P = 0.001, respectively). Following stratification of the patients by disease aggressiveness, as defined by the Gleason score, the pooled genotypes AC + AA were associated with a higher risk of a Gleason score ≥7 at diagnosis (OR = 1.79, 95% CI = 1.17-2.73, P = 0.007). In summary, the A allele at rs16901979 was associated with the risk of prostate cancer in the Caribbean population of Guadeloupe, confirming its involvement in populations of African descent. Moreover, our study provides the first evidence of an association between this variant and the risk of aggressive prostate cancer.

Germline genetic variations at 11q13 and 12p11 locus modulate age at onset for renal cell carcinoma.

PURPOSE: Few risk factors have been identified for renal cell carcinoma. We performed a validation study in a population with a European background to identify the most significant variants previously identified in association with renal cell carcinoma risk. MATERIALS AND METHODS: We performed a case-control validation study after recruiting 463 controls and 463 patients with a histologically confirmed diagnosis of clear cell renal cell carcinoma. For each patient and matched control we genotyped 8 single nucleotide polymorphisms selected from previous studies to evaluate the association between candidate single nucleotide polymorphisms and renal cell carcinoma susceptibility. RESULTS: After adjusting for patient age, gender, smoking status and body mass index the AG + AA genotypes from rs7105934 (11q13) were associated with a decreased risk of renal cell carcinoma (OR 0.50, 95% CI 0.33-0.75, p = 0.001) and the AC + CC genotypes from rs1049380 (ITPR2) were associated with an increased risk (OR 1.66, 95% CI 1.28-2.16, p <0.001). Kidney cancer developed at an older age in patients carrying the dominant risk allele A for rs7105934 (mean age at diagnosis 73.1 vs 68.9 years, p = 0.002) and at a younger age in those carrying the dominant allele C for rs1049380 (mean 68.1 vs 70.8 years, p = 0.005). CONCLUSIONS: In what is to our knowledge the first validation study of the main 8 single nucleotide polymorphism variants associated with renal cell carcinoma susceptibility we confirmed the association of 2 single nucleotide polymorphisms with the risk of renal cell carcinoma. Each variant influenced patient age at disease diagnosis.

Urine TMPRSS2:ERG fusion transcript integrated with PCA3 score, genotyping, and biological features are correlated to the results of prostatic biopsies in men at risk of prostate cancer.

BACKGROUND: Detection of fusion gene TMPRSS2:ERG transcripts in urine have been recently described in order to refine urine-based detection of prostate cancer (PCa), but data its clinical impact remain scarce. We aimed at investigating the correlation of TMPRSS2:ERG, prostate cancer antigen 3 (PCA3), prostate specific antigen (PSA) density, genetic variants, and androgenic status with outcome and pathological findings at prostatic biopsy. METHODS: Between 2007 and 2011, 291 patients at risk of PCa because of PSA > 3.0 ng/ml (55%) or candidate to active surveillance protocol justifying restaging biopsy management (45%) were recruited. TMPRSS2:ERG was detected by urine assay (Progensa™). PCA3-score, PSA level, bioavailable testosterone level, prostate volume, rs1447295 and rs6983267 genotypes were prospectively assessed. Univariate and multivariate analysis by logistic regression model (logit) were conducted to study the correlation of TMPRSS2:ERG status, PCA3, and PSA density with biopsy results, and Gleason score. RESULTS: Of 291 patients, 173 had PCa and 118 had negative biopsy. PCA3 score, PSA density and TMPRSS2:ERG-score were correlated with presence of PCa (P < 0.0001, P = 0.046, and P < 0.0001, respectively). This correlation remained strong on multivariable analysis model (area under curve 0.743). PCA3 score and PSA density were significantly associated with presence of Grade 4 through multivariable analysis. PCA3 score was also correlated to the percentage of positive cores at biopsy (P = 0.008). CONCLUSIONS: Integration of levels TMPRSS2:ERG transcripts in urine, with PCA3-score, androgenic status, genetic status and traditional clinical variables could significantly increase detection of high risk localized PCa.

Impact of genotyping on outcome of prostatic biopsies: a multicenter prospective study.

Single nucleotide polymorphisms (SNPs) have been associated with prostate cancer (PCa) risk and tumor aggressiveness in retrospective studies. To assess the value of genotyping in a clinical setting, we evaluated the correlation between three genotypes (rs1447295 and rs6983267[8q24] and rs4054823[17p12]) and prostatic biopsy outcome prospectively in a French population of Caucasian men. Five hundred ninety-eight patients with prostatic-specific antigen (PSA) >4 ng/mL or abnormal digital rectal examination (DRE) participated in this prospective, multicenter study. Age, familial history of PCa, body mass index (BMI), data of DRE, International Prostate Symptom Score (I-PSS) score, PSA value and prostatic volume were collected prospectively before prostatic biopsy. Correlation between genotypes and biopsy outcome (positive or negative) and Gleason score (≤6 or >6) were studied by univariate and multivariable analysis. rs1447295 and rs6983267 risk variants were found to be associated with the presence of PCa in univariate analysis. rs6983267 genotype remained significantly linked to a positive biopsy (odds ratio [OR] = 1.66, 95% confidence interval [CI]: 1.06-2.59, P = 0.026) in multivariable analysis, but rs1447295 genotype did not (OR = 1.47, 95% CI: 0.89-2.43, P = 0.13).When biopsy outcome was stratified according to Gleason score, risk variants of rs1447295 were associated with aggressive disease (Gleason score ≥7) in univariate and multivariable analysis (OR = 2.05 95% CI: 1.10-3.79, P = 0.023). rs6983267 GG genotype was not related to aggressiveness. The results did not reach significance concerning rs4054823 for any analysis. This inaugural prospective evaluation thus confirmed potential usefulness of genotyping PCa assessment. Ongoing clinical evaluation of larger panels of SNPs will detail the actual impact of genetic markers on clinical practice.

Effect of genetic variability within 8q24 on aggressiveness patterns at diagnosis and familial status of prostate cancer.

PURPOSE: Recently, two independent loci located at 8q24 that contribute to prostate cancer risk in men of European origin were identified. EXPERIMENTAL DESIGN: Using Bayesian probability network and logistic regression model, we searched for associations between 34 single-nucleotide polymorphisms (SNP) located at 8q24 and the aggressiveness patterns of prostate adenocarcinoma or familial history of cancers in 823 White Caucasian French men. RESULTS: Probability network according to the Markov chain algorithm separated the SNPs into two main groups: The first one was linked to the locus marked by rs6983267 and the second one was linked to the locus marked by rs1447295. When the patients were stratified according to tumor stage and prostate-specific antigen value, the association between the variant genotypes from six SNPs located in the second network and prostate cancer risk was strongest or confined to the patients from the more aggressive classes. However, the association between prostate cancer risk and the CC genotype of rs7841264, which marked the recombination hotspot at 8q24, was confined to patients with the highest Gleason score (odds ratio, 2.15; 95% confidence interval, 1.27-3.64; P=0.004). Interestingly, the G allele of rs6983267 was associated with familial prostate cancer risk. CONCLUSIONS: Our data further support that variability at 8q24 is associated with a high risk of aggressive prostate cancer at diagnosis and is linked with familial history of prostate cancer. These results corroborate that 8q24 SNPs must be evaluated in terms of prostate cancer aggressiveness markers to optimize early diagnosis procedures and management of the disease.

Phenol sulfotransferase SULT1A1*2 allele and enhanced risk of upper urinary tract urothelial cell carcinoma.

Cytosolic sulfotransferases (SULT) are involved in detoxification pathways. A functional polymorphism in the SULT1A1 gene, leading to an Arg213His substitution (SULT1A1*2), is thought to confer susceptibility to various types of cancer. Upper urinary tract urothelial cell carcinomas (UUT-UCC) are rare (5% of all urothelial carcinomas). We genotyped 268 patients with UUT-UCC and 268 healthy controls matched for age, gender, tobacco consumption, and ethnicity. His213 (SULT1A1*2) allele frequency was significantly higher in patients than in controls (37.1% versus 28.9%; P=0.004). The His/His genotype corresponding to low-activity SULT1A1 enzyme conferred a significantly higher risk of UUT-UCC (odds ratio, 2.18; 95% confidence interval, 1.28-3.69; P=0.004