ISSN: 1735-1308
Instant 2021
Prognostic Significance of the Neutrophil-to-Lymphocyte Ratio in Patients with Non-Muscle Invasive Bladder Cancer treated with Intravesical Bacillus Calmette–Guérin and the Relationship with the CUETO Scoring Model Significance of the NLR with CUETO model
Urology Journal,
,
,
Page 6765
https://doi.org/10.22037/uj.v18i.6765
Abstract
Purpose: In this study, we evaluated the predictability of a modified Club Urológico Español de Tratamiento Oncológico (CUETO) scoring model and preoperative neutrophil-to-lymphocyte ratio (NLR) in patients with non-muscle invasive bladder cancer (NMIBC).
Materials and Methods: From August 2005 to May 2016, a total of 281 patients received intravesical bacillus Calmette–Guérin therapy after transurethral resection of a bladder tumor. The pathologic stage of all patients was Ta or T1. Of 281 patients, 84 (29.9%) experienced recurrence and 14 (5.0%) developed progression. The mean follow-up period was 46 months. The cut-off value for NLRs was 2.29.
Results: One hundred-eight patients (38.4%) displayed a high NLR (> 2.29). In Kaplan–Meier curve analysis, a high NLR was associated with lower recurrence-free survival (RFS) (P < .001) and progression-free survival (PFS) (P = .002). CUETO scores were associated with RFS (P < .001), but not with PFS (P = .423). A combination of NLRs and the CUETO risk model correlated with RFS (P < .001) and PFS (P = .002). In multivariate analysis, female gender, concomitant carcinoma in situ (CIS), tumor number >3, recurrent tumors, and a high NLR were independent factors predicting recurrence (all P < .05). Concomitant CIS, recurrent tumors, and a high NLR were independent factors for predicting progression (all P < .05).
Conclusion: In patients with NMIBC, an NLR >2.29 was identified as a significant factor for predicting tumor recurrence and progression. Inclusion of preoperative NLR enhanced the accuracy of the CUETO model to predict disease progression.
- Neutrophil-to-lymphocyte ratio; Bacillus Calmette–Guérin; Club Urológico Español de Tratamiento Oncológico risk model; Survival
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