Objective: To assess the prognostic value of preoperative blood-based inflammation biomarkers, including the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and lymphocyte-monocyte ratio (LMR), on the survival outcomes of patients with upper tract urothelial carcinoma (UTUC) following radical nephroureterectomy (RNU). Methods: We retrospectively studied the data of 172 patients who were diagnosed with UTUC after RNU during 2008 to 2018. We determined the cut-off value by using X-tile software. The area under the curve (AUC) and concordance index (C-index) were utilized to compare the predictive accuracy between subgroups. We also performed decision curve analysis (DCA) to evaluate the clinical net benefit of prognostic models. The Kaplan–Meier method and Cox proportional hazards regression models were performed to evaluate the association between these inflammation biomarkers and survival outcomes. Results: The median follow-up period was 45.5 (range: 1-143; interquartile range, IQR: 27-77) months. Kaplan–Meier analyses showed that a high NLR or PLR significantly reduced overall survival (OS), cancer-specific survival (CSS), recurrence-free survival (RFS) and metastasis-free survival (MFS), and a low LMR markedly decreased RFS and MFS. The multivariate Cox proportional hazards model revealed that the NLR plus PLR was an independent predictor of worse survival (all P < .05). Additionally, the AUC and C-index of the new prognostic models were the largest for the 1- to 5-year OS, CSS, RFS, and MFS were the largest. Conclusion: Our study confirms that the combination of preoperative NLR and PLR could be an independent risk factor for UTUC patients who have undergone RNU. The addition of NLR and PLR may improve the accuracy of current prognostic models and help guide clinical strategies in the treatment of UTUC.

ObjectivesThe risk factors for extraurothelial recurrence (EUR) after radical nephroureterectomy (RNU) in patients with upper urinary tract urothelial carcinoma (UTUC) are currently inconsistent and unclear. In this study, we aimed to identify these risk factors and develop a grading system for EUR.MethodsWe retrospectively analyzed 220 patients who underwent RNU for UTUC in our center from January 2009 to December 2020. Overall survival (OS) and extraurothelial recurrence-free survival (EURFS) were compared using the Kaplan–Meier curve with a log-rank test. Univariate and multivariate Cox regression models were applied to identify the independent risk factors related to EUR.ResultsThe median follow-up period was 42 (range: 2–143) months. Of the 220 patients, 61 patients developed EUR in our cohort, which had worse survival outcome. Multivariate Cox regression analysis showed pathologic stage, lymph node (LN) status, lymphovascular invasion (LVI), Ki-67, neutrophil-to-lymphocyte ratio (NLR), and platelet-to-lymphocyte ratio (PLR) were independent risk factors for EUR. The Kaplan–Meier curves revealed a significant difference in EUR among the three risk groups.ConclusionOur study suggests that pathologic stage, LN status, LVI, Ki-67, NLR, and PLR are independent risk factors for EUR in UTUC patients after RNU. The development of a grading system for EUR risk stratification may assist urologists in making clinical decisions regarding the management of UTUC.

ObjectiveThe risk factors for intravesical recurrence (IVR) after radical nephroureterectomy (RNU) in patients with upper tract urothelial carcinoma (UTUC) remain inconsistent and unclear. Thus, the risk factors of IVR after RNU and the prognostic significance of the risk indicators were explored herein.MethodsWe retrospectively analyzed UTUC patients upon RNU in our center from January 2009 to December 2019. After propensity score matching, 139 patients were included in this study. Univariate and multivariate Cox proportional hazard regressions were used to estimate the hazard ratio and 95% confidence intervals. Overall survival (OS), cancer-specific survival (CSS) and recurrence-free survival (RFS) were measured using the Kaplan–Meier curve with a log-rank test. A P-value &lt; 0.05 was considered statistically significant.ResultsWe included 139 patients with a median follow-up of 42 months, of which 48 patients had an intravesical recurrence. Multivariate Cox regression analysis showed cytological abnormalities in urine (HR=3.101, P=0.002), hydronephrosis (HR=1.852, P=0.042), adjuvant chemotherapy (HR=0.242, P&lt;0.001), and previous history of bladder cancer (HR=5.51, P&lt;0.001) were independent risk factors for IVR. As for clinical outcomes, OS and CSS suggested disadvantages in patients with IVR compared with patients without recurrence (P=0.042 for OS, P&lt;0.0001 for CSS), OS of patients with abnormal urine cytology and OS and CSS of patients receiving adjuvant chemotherapy did not present clinical significance, and other risk factors all affected the clinical outcome.ConclusionIn this propensity-score matching study, cytological abnormality of urine, hydronephrosis, adjuvant chemotherapy and previous history of bladder cancer were shown to be independent risk factors for IVR. Moreover, risk factors also influence clinical outcomes, thereby rendering it necessary to adopt more active postoperative surveillance and treatment strategies for these patients, which may help improve treatment outcomes.

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