Abstract
The aim of this study was to investigate prognostic factors and develop a prognostic factor-based risk stratification model for disease-specific survival (DSS) in a radical cystectomy (RC) series. The patient cohort comprised 194 consecutive patients with bladder cancer treated with RC. Univariate and multivariate Cox proportional hazard model analyses were performed to identify significant prognostic factors for DSS. A risk stratification model was developed based on the relative risks (RRs) of DSS. Median follow-up period was 26.8 months. The 1-, 3-, and 5-year DSS were 88.0, 74.0, and 64.9%, respectively. In the univariate analysis, pathological T (pT) (≥ pT2), lymphovascular invasion (LVI), non-urothelial carcinoma component, surgical margin (SM), and lymph node metastases (pN) were significantly associated with poor prognosis. In the multivariate analysis, pT (≥ pT2), LVI, and SM were independent factors for predicting poor prognosis. Based on these results, patients were stratified into three risk groups: low (RR = 1.00-3.626), intermediate (5.860-9.826), and high (21.24). The 1-, 3-, and 5-year survival rates were 96.9, 85.1, and 85.1% in the low-risk group, 83.0, 63.4, and 43.8% in the intermediate group, and 51.0, 19.4, and 19.4% in the high-risk group, respectively. The differences among these groups were significant. In our RC series, pT (≥ pT2), LVI, and SM were independent prognostic factors. This information may be useful to identify patients with poor prognosis, who might be good candidates for innovative treatment.
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