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AimsZinc-alpha 2-glycoprotein (AZGP1) is a promising tissue biomarker to predict outcomes in men undergoing treatment for localised prostate cancer (PCa). We aimed to examine the association between AZGP1 expression and the endpoints: risk of biochemical failure (BF), initiating castration-based treatment, developing castration-resistant PCa (CRPC) and PCa-specific mortality following radical prostatectomy (RP).MethodsThe study included a prospective cohort of 302 patients who underwent RP for PCa from 2002 to 2005. AZGP1 expression was analysed using immunohistochemistry on tissue microarray RP specimens and was scored semiquantitively as low or high expression. Risk of all endpoints was analysed using stratified cumulative incidences and cause-specific Cox regression, and validated with receiver operating curves, calibration and discrimination in competing-risk analyses. A meta-analysis was performed including previous studies investigating AZGP1 expression and risk of BF following RP.ResultsMedian time of follow-up was 14.0 years. The cumulative incidence of all endpoints was significantly higher in patients with low AZGP1 expression compared with patients with high AZGP1 expression (pConclusionsLow AZGP1 expression is associated with the risk of aggressive time-dependent outcomes in men undergoing RP for localised PCa.

AimsLymph node metastasis (N1) is an adverse prognostic factor for men with clinically localised prostate cancer (PCa), but the prediction of N1 disease remains difficult. Urokinase plasminogen activator receptor (uPAR) plays an important role in angiogenesis and tumorigenesis. We analysed whether plasma levels of the soluble uPAR forms uPAR(I-III), uPAR(II-III) and uPAR(I) were associated with the risk of N1 disease in men with clinically localised PCa.MethodsThe present study includes all men (n=518) who underwent radical prostatectomy (RP) for clinically localised PCa, 29 of whom had N1 disease. Soluble uPAR forms were measured using three time-resolved fluorescence immunoassays. The prognostic value of the different uPAR forms together with clinicopathological parameters for N1 disease were analysed using logistic regression, receiver operating characteristic (ROC) regression analysis and quantified using the areas under the ROC curve (AUC).ResultsAll soluble uPAR levels were significantly (p=0.03) higher in patients with N1 disease compared with patients with N0/x disease. ROC curves including clinical tumour stage, biopsy Gleason score, prostate-specific antigen and percent positive biopsies had an AUC of 87.7% for prediction of N1 disease. With the addition of uPAR(I) to the model, the AUC increased to 88.4%.ConclusionsAddition of uPAR(I) level to known diagnostic parameters did not increase the prediction of N1 disease following RP in men with clinically localised PCa. Our results indicate that the plasma levels at diagnosis of the different uPAR forms do not hold important predictive or prognostic information in men with clinically localised PCa.