Trends in incidence and 5-year mortality in men with newly diagnosed, metastatic prostate cancer-A population-based analysis of 2 national cohorts.

BACKGROUND: Early detection has increased prostate cancer (PCa) incidence. Randomized trials have demonstrated that early detection reduces the incidence of de novo metastatic PCa. Concurrently, life-prolonging treatments have been introduced for patients with advanced PCa. On a populations-based level, the authors analyzed whether early detection and improved treatments changed the incidence and 5-year mortality of men with de novo metastatic PCa. METHODS: Men diagnosed with PCa during the periods 1980 to 2011 and 1995 to 2011 were identified in the US Surveillance, Epidemiology, and End Results (SEER) program and the Danish Prostate Cancer Registry (DaPCaR), respectively, and stratified according to period of diagnosis. Age-standardized incidence rates were calculated. Five-year mortality rates for de novo metastatic PCa were analyzed using competing risk analysis. RESULTS: Totals of 426,266 and 47,024 men were identified in SEER and DaPCaR, respectively. Of these, 29,555 and 6874 had de novo metastatic PCa. The incidence of de novo metastatic PCa decreased (from 12.0 to 4.4 per 100,000 men) in the SEER cohort (1980-2011), whereas it increased (from 6.7 to 9.9 per 100,000 men) in the DaPCaR cohort (1995-2011). Five-year PCa mortality in the SEER cohort was stable for men diagnosed with de novo metastatic PCa from 1980 to 1994 and increased slightly in the latest periods studied (P < .0001), whereas it decreased by 16.6% (P < .0001) in the DaPCaR cohort. CONCLUSIONS: Despite earlier detection, de novo metastatic PCa remains associated with a high risk of 5-year disease-specific mortality. The reduced 5-year PCa mortality in the Danish cohort is largely explained by lead-time. Early detection strategies do indeed decrease the incidence of de novo metastatic PCa, as observed in the SEER cohort. This achievement, however, must be weighed against the unsolved issue of overdetection and overtreatment of indolent PCa. Cancer 2018;124:2931-8. © 2018 American Cancer Society.

Automated Bone Scan Index as a quantitative imaging biomarker in metastatic castration-resistant prostate cancer patients being treated with enzalutamide.

BACKGROUND: Having performed analytical validation studies, we are now assessing the clinical utility of the upgraded automated Bone Scan Index (BSI) in metastatic castration-resistant prostate cancer (mCRPC). In the present study, we retrospectively evaluated the discriminatory strength of the automated BSI in predicting overall survival (OS) in mCRPC patients being treated with enzalutamide. METHODS: Retrospectively, we included patients who received enzalutamide as a clinically approved therapy for mCRPC and had undergone bone scan prior to starting therapy. Automated BSI, prostate-specific antigen (PSA), hemoglobin (HgB), and alkaline phosphatase (ALP) were obtained at baseline. Change in automated BSI and PSA were obtained from patients who have had bone scan at week 12 of treatment follow-up. Automated BSI was obtained using the analytically validated EXINI Bone(BSI) version 2. Kendall's tau (τ) was used to assess the correlation of BSI with other blood-based biomarkers. Concordance index (C-index) was used to evaluate the discriminating strength of automated BSI in predicting OS. RESULTS: Eighty mCRPC patients with baseline bone scans were included in the study. There was a weak correlation of automated BSI with PSA (τ = 0.30), with HgB (τ = -0.17), and with ALP (τ = 0.56). At baseline, the automated BSI was observed to be predictive of OS (C-index 0.72, standard error (SE) 0.03). Adding automated BSI to the blood-based model significantly improved the C-index from 0.67 to 0.72, p = 0.017. Treatment follow-up bone scans were available from 62 patients. Both change in BSI and percent change in PSA were predictive of OS. However, the combined predictive model of percent PSA change and change in automated BSI (C-index 0.77) was significantly higher than that of percent PSA change alone (C-index 0.73), p = 0.041. CONCLUSIONS: The upgraded and analytically validated automated BSI was found to be a strong predictor of OS in mCRPC patients. Additionally, the change in automated BSI demonstrated an additive clinical value to the change in PSA in mCRPC patients being treated with enzalutamide.