Urinary biomarkers for the detection of prostate cancer in patients with high-grade prostatic intraepithelial neoplasia.

INTRODUCTION: High-grade prostatic intraepithelial neoplasia (HGPIN) is a recognized precursor stage of PCa. Men who present HGPIN in a first prostate biopsy face years of active surveillance including repeat biopsies. This study aimed to identify non-invasive prognostic biomarkers that differentiate early on between indolent HGPIN cases and those that will transform into actual PCa. METHODS: We measured the expression of 21 candidate mRNA biomarkers using quantitative PCR in urine sediment samples from a cohort of 90 patients with initial diagnosis of HGPIN and a posterior follow up of at least two years. Uni- and multivariate statistical analyses were applied to analyze the candidate biomarkers and multiplex models using combinations of these biomarkers. RESULTS: PSMA, PCA3, PSGR, GOLM, KLK3, CDH1, and SPINK1 behaved as predictors for PCa presence in repeat biopsies. Multiplex models outperformed (AUC = 0.81-0.86) the predictive power of single genes, including the FDA-approved PCA3 (AUC = 0.70). With a fixed sensitivity of 95%, the specificity of our multiplex models was of 41-58%, compared to the 30% of PCA3. The PPV of our models (30-38%) was also higher than the PPV of PCA3 (27%), suggesting that benign cases could be more accurately identified. Applying statistical models, we estimated that 33% to 47% of repeat biopsies could be prevented with a multiplex PCR model, representing an easy applicable and significant advantage over the current gold standard in urine sediment. DISCUSSION: Using multiplex RTqPCR-based models in urine sediment it is possible to improve the current diagnostic method of choice (PCA3) to differentiate between benign HGPIN and PCa cases.

Metabolic syndrome increases the risk of aggressive prostate cancer detection.

UNLABELLED: WHAT'S KNOWN ON THE SUBJECT? AND WHAT DOES THE STUDY ADD?: Metabolic syndrome can identify patients at high risk of cardiovascular disease. The prevalence of metabolic syndrome is increasing worldwide and is associated with increased age, obesity and hypogonadism. The association between metabolic syndrome and prostate cancer development has not been studied comprehensively, and published studies report divergent results. This study indicates that tumours detected in men with metabolic syndrome are more aggressive than those detected in men without this condition. OBJECTIVE: To further examine the association between metabolic syndrome (MS), prostate cancer (PC) detection risk and tumour aggressiveness. PATIENTS AND METHODS: From 2006 to 2010, 2408 men not receiving 5α-reductase inhibitors were scheduled for prostatic biopsy due to PSA above 4 ng/mL and/or abnormal digital rectal examination. MS was evaluated according to the National Cholesterol Education Program Expert Panel on Detection, Evaluation and Treatment of High Blood Cholesterol in Adults, Adult Treatment Panel III definition. Tumour aggressiveness was evaluated through biopsy Gleason score, clinical stage and risk of biochemical recurrence after primary treatment. RESULTS: The rates of PC detection were 34.5% and 36.4% respectively in men with and without MS, P = 0.185. High grade PC rates (Gleason score 8-10) were 35.9% and 23.9% respectively, P < 0.001. The advanced disease rates (cT3-4 N0-1 M0-1) were 17% and 12.7% respectively, P = 0.841. The high risk PC rates (cT2c-4 or Gleason score 8-10 or PSA > 20) were 38.5% and 33.0% respectively, P = 0.581. Multivariate analysis confirmed that MS was not associated with the risk of PC detection but it was associated with an increased risk of high grade tumours (odds ratio 1.75, 95% CI 1.26-2.41), P < 0.001. CONCLUSION: MS seems not be associated with an increased risk of PC detection but it is associated with an increased risk of more aggressive tumours.