Long-Term Prognostic Value Of The Combination Of Eortc Risk Group Calculator And Molecular Markers In Non-Muscle-Invasive Bladder Cancer Patients Treated With Intravesical Bacille Calmette-Guerin

Background and Objectives: To evaluate the long-term prognostic value of the combination of the EORTC risk calculator and proapoptotic, antiapoptotic, proliferation, and invasiveness molecular markers in predicting the outcome of intermediate-and high-risk non-muscle-invasive bladder cancer (NMIBC) treated with intravesical Bacille Calmette-Guerin (BCG) therapy.Materials and Methods: This study included 42 patients accrued prospectively presenting with intermediate-to high-risk NMIBC (high-grade TI tumors or multiple rapidly recurrent tumors refractory to intravesical chemotherapy) treated with transurethral resection (TUR) and BCG. TUR samples were analyzed for the molecular markers p53, p21 wafl/cip, Bcl-2, CyclinD 1, and metallothionein 9 (MMP9) using immunohistochemistry. Frequency of positivity, measured as a percentage, was assessed alone or in combination with EORTC risk calculator, for interaction with outcome in terms of recurrence and progression using univariate analysis and Kaplan-Meier survival curves.Results: Median follow-up was 88 months (mean, 99; range, 14-212 months). The overall recurrence rate was 61.9% and progression rate was 21.4%. In univariate analysis, CyclinDI and EORTC risk groups were significantly associated with recurrence (P value 0.03 and 0.02, respectively), although none of the markers showed a correlation to progression. In combining EORTC risk groups to markers expression status, high-risk group associated with positive MMP9, Bcl-2, CyclinDI, or p21 was significantly correlated to tumor recurrence (log rank Pvalues < 0.001,0.03, 0.02, and 0.006, respectively) and when associated with positive MMP9 or p21, it was significantly correlated to progression (log rank Pvalues 0.01 and 0.04, respectively).Conclusion: Molecular markers have a long-term prognostic value when combined with EORTC scoring system and they may be used to improve the predictive accuracy of currently existing scoring system. Larger series are needed to confirm these findings.