Objectives To prospectively evaluate the performance of a pre‐specified statistical model based on four kallikrein markers in blood (total prostate‐specific antigen [PSA], free PSA, intact PSA, and human kallikrein‐related peptidase 2), commercially available as the 4Kscore, in predicting Gleason Grade Group (GG) ≥2 prostate cancer at biopsy in an international multicentre study at three academic medical centres, and whether microseminoprotein‐β (MSP) adds predictive value. Patients and Methods A total of 984 men were prospectively enrolled at three academic centres. The primary outcome was GG ≥2 on prostate biopsy. Three pre‐specified statistical models were used: a base model including PSA, age, digital rectal examination and prior negative biopsy; a model that added free PSA to the base model; and the 4Kscore. Results A total of 947 men were included in the final analysis and 273 (29%) had GG ≥2 on prostate biopsy. The base model area under the receiver operating characteristic curve of 0.775 increased to 0.802 with the addition of free PSA, and to 0.824 for the 4Kscore. Adding MSP to the 4Kscore model yielded an increase (0.014–0.019) in discrimination. In decision‐curve analysis of clinical utility, the 4Kscore showed a benefit starting at a 7.5% threshold. Conclusion A prospective multicentre evaluation of a pre‐specified model based on four kallikrein markers (4Kscore) with the addition of MSP improves the predictive discrimination for GG ≥2 prostate cancer on biopsy and could be used to inform biopsy decision‐making.
Does Subclassification of Pathologically Organ Confined (pT2) Prostate Cancer Provide Prognostic Discrimination of Outcomes after Radical Prostatectomy?
Objectives To model renal function after radical nephroureterectomy ( RNU ) for upper tract urothelial carcinoma ( UTUC ). To identify predictors of renal function decline after surgery, thereby allowing the identification of patients likely to be ineligible for cisplatin‐based chemotherapy in the adjuvant setting. Patients and Methods We retrospectively identified 374 patients treated with RNU for UTUC at three centres between 1995 and 2010. Estimated glomerular filtration rate ( eGFR ) was calculated using Chronic Kidney Disease Epidemiology Collaboration equation before RNU and at early (1–5 months after RNU ) and late (>5 months) time points after RNU . Only patients deemed eligible for cisplatin‐based chemotherapy before RNU (preoperative glomerular filtration rate [ GFR ] ≥60 mL/min/1.73 m 2 ) were included. Multivariable analysis identified the preoperative predictors of eGFR after RNU at early postoperative and late postoperative time points. Results A total of 163 patients had an eligible early post‐ RNU eGFR measurement and 172 had an eligible late eGFR measurement. The median eGFR declined by 32% and did not show a significant trend toward recovery over time ( P = 0.4). On multivariable analysis preoperative eGFR and patient age were significantly associated with early and late postoperative eGFR , while C harlson comorbidity index score was significantly associated with late postoperative eGFR alone. Conclusions In patients with normal preoperative eGFR (≥60 mL/min/1.73 m 2 ), renal function decreases by one‐third after RNU and does not show evidence of recovery over time. Elderly patients and those with pre‐ RNU eGFR closer to 60 mL/min/1.73 m 2 (lower eGFR in the present cohort) are more likely to be ineligible for adjuvant cisplatin‐based chemotherapy regimens because of renal function loss after RNU .