Prognostic correlation of cell cycle progression score and Ki-67 as a predictor of aggressiveness, biochemical failure, and mortality in men with high-risk prostate cancer treated with external beam radiation therapy

Molecular diagnostics of prostate cancer: impact of molecular tests

ABSTRACT

Prostate cancer (PCa) is the second leading cause of cancer-related death among men. Prostate-specific antigen (PSA) testing is used in screening programs for early detection with a consequent reduction of PCa-specific mortality at the cost of overdiagnosis and overtreatment of the nonaggressive PCa. Recently, several assays have been commercially developed to implement PCa diagnosis, but they have not been included in both screening and diagnosis of PCa. This review aims to describe the actual and novel commercially available molecular biomarkers that can be used in PCa management to implement and tailor the screening and diagnosis of PCa.

Clinical Applications of Molecular Biomarkers in Prostate Cancer

There is clinically relevant molecular heterogeneity in prostate cancer (PCa), but this biological diversity has had only a minimal impact on clinical practice. Treatment outcomes in patients with localised PCa are often highly variable, even among patients stratified to the same risk group or disease state based on standard clinical and pathological parameters. In recent years, the development of gene panels has provided valuable data on the differential expression of genes in patients with PCa. Nevertheless, there is an urgent need to identify and validate prognostic and predictive biomarkers that can be applied across clinical scenarios, ranging from localised disease to metastatic castration-resistant PCa. The availability of such tools would allow for precision medicine to finally reach PCa patients. In this review, we evaluate current data on molecular biomarkers for PCa, with an emphasis on the biomarkers and gene panels with the most robust evidence to support their application in routine clinical practice.

Cell cycle progression score improves risk stratification in prostate cancer patients with adverse pathology after radical prostatectomy

OBJECTIVE

To assess the use of the cell cycle progression (CCP) score versus actual risk stratification practice in making treatment decisions for prostate cancer patients with locally adverse pathology after radical prostatectomy (RP).

PATIENTS AND METHODS

Men with adverse pathologic features, pT3 or positive surgical margins who underwent RP in 2010-2014 at Renji hospital were retrospectively analyzed. The primary outcome was biochemical recurrence (BCR) after RP. RNA was quantified from paraffin-embedded RP specimens. The CCP score was calculated as average expression of 31 CCP genes, normalized to 15 housekeeper genes. The prognostic utility of the CCP score was assessed using Kaplan-Meier analysis and multivariable Cox proportional hazards model.

RESULTS

Among the 100 men identified, 5-year BCR-free survival for the low- (< 0), intermediate- (0-1) and high- (> 1) CCP score groups was 89.3%, 38.8%, and 12.9%, respectively. In multivariable models adjusting for clinical and pathological variables with the cancer of the prostate risk assessment post-surgical (CAPRA-S) score, both continuous CCP score [hazard ratio (HR) 1.373 per unit score, 95% confidence interval (CI) 1.006-1.874; p = 0.046) and the categorized CCP score (p < 0.001)were independent predictors of BCR.

CONCLUSIONS

The present study provides insights into the role the CCP score plays in risk stratification of this cohort and in determining candidacy for deferred secondary treatment. From our perspective, the CCP score allows better stratification and can help identifying patients at lower risk of disease recurrence who could benefit from a wait-and-see policy.