Objective To evaluate the value of systemic inflammatory markers(SIM)in the prognosis of patients with bladder cancer undergoing radical cystectomy.Methods Clinical data of 233 patients with bladder cancer who underwent radical cystectomy in the Affiliated Hospital of Xuzhou Medical University during Dec.2011 and Nov.2020 were retrospectively collected,the SIM score was calculated and patients were grouped.Progression-free survival(PFS)was assessed with Kaplan-Meier analysis,and differences between groups were compared with log-rank test.Factors affecting PFS were analyzed with Cox proportional risk model.The patients were randomly divided into a training set(n=164)and a verification set(n=69)according to 7:3 ratio,and a nomogram model was established and verified.Results Cox regression analysis showed that SIM score and pathological T staging were independent predictors of PFS(P＜0.05).A predictive model was established based on SIM score and pathological T staging.The area under the receiver operating characteristic(AUC)curve for predicting 1-year,3-year,and 5-year PFS were 0.939,0.943,and 0.943,respectively.After the model was applied to evaluate the validation set,the performance was still stable.Conclusion The prediction model based on SIM score and clinicopathological T staging can accurately predict the survival of patients with bladder cancer after radical cystectomy,and can be used to guide individualized treatment of patients.

【Objective】 To investigate the prognostic value of tumor location in patients with upper tract urothelial carcinoma (UTUC) treated with radical nephroureterectomy (RNU), and to develop and validate a nomogram model for predicting the overall survival (OS). 【Methods】 UTUC patients undergoing RUN at our hospital during Jan.2010 and Dec.2022 were retrospectively collected, 70% of whom were included in the training group and 30% in the validation group.According to the tumor location, patients were divided into renal pelvis tumor (RPT) group and ureteral tumor (UT) group.The differences in clinicopathological features and prognosis were analyzed.Based on multivariate Cox results, a nomogram model for predicting OS was developed and validated. 【Results】 A total of 366 patients (196 RPT and 170 UT) were included in this study.There were statistically significantly differences in urine cytology (P=0.001), hydronephrosis (P<0.001), history of bladder tumor (P=0.021), pathological T stage (P<0.001) and histological structure (P=0.037) between the two groups.Multivariate Cox results showed that patients with UT had a worse prognosis (HR=2.00, 95%CI: 1.22-3.27, P=0.006).Factors of the nomogram for predicting OS included age, tumor location, lymphovascular invasion and pathological T stage.The model showed good discrimination and calibration, and performed well in internal verification. 【Conclusion】 Compared with RPT, UT has a worse prognosis and the fat around the tumor should be surgically removed more thoroughly to avoid micro-residual.We successfully coustructed a nomogram model that can be used to predict the OS of UTUC patients after RNU surgery.