Department of Urology, Medical University of Vienna, Vienna, Austria.
Department of Urology, Medical University of Vienna, Vienna, Austria; Urological Research Institute, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy.
Clin Genitourin Cancer. 2017 Oct;15(5):e755-e764. doi: 10.1016/j.clgc.2017.03.007. Epub 2017 Mar 27.
The purpose of this study was to assess the role of pretreatment neutrophil-to-lymphocyte ratio (NLR) as a predictor of clinical outcomes in patients treated with transurethral resection (TURB) for primary non-muscle-invasive bladder cancer (NMIBC).
Data from 918 patients treated with TURB for primary NMIBC were retrospectively collected. NLR was evaluated as binary variable with the cut-point of 3 based on the visual best correlation of the receiver operating curve analyses focusing on disease recurrence. The median follow-up was 62 months. Cox regression analyses were used to evaluate associations with recurrence (RFS) and progression-free survival (PFS). Subgroup analyses were done according to risk groups and receipt of intravesical bacillus Calmette-Guérin therapy.
Overall, 293 patients had a NLR ≥ 3. High NLR was associated with pathologic T stage and smoking status. The 5-year RFS and PFS for NLR < 3 and NLR ≥ 3 were, respectively, 55.5% versus 45.9% (P = .01) and 94.9% versus 89.9% (P = .004). On multivariable analyses, NLR ≥ 3 remained significantly associated with RFS and PFS. The addition of NLR increased the discrimination of a multivariable model by 0.6% and 2.3% for RFS and PFS, respectively. Moreover, NLR showed a trend in the association with outcomes in patients treated with intravesical bacillus Calmette-Guérin therapy.
Integration of NLR in a prediction model could be helpful in predicting RFS and PFS in patients with primary NMIBC and identifying those who are likely to fail therapy and may benefit from an early radical cystectomy. Limitations are associated to the retrospective design.
本研究旨在评估治疗原发性非肌肉浸润性膀胱癌(NMIBC)患者的经尿道膀胱肿瘤切除术(TURB)前中性粒细胞与淋巴细胞比值(NLR)作为临床结局预测因子的作用。
回顾性收集了 918 例接受 TURB 治疗的原发性 NMIBC 患者的数据。NLR 作为二元变量进行评估,其截断值为 3,基于针对疾病复发的接受者操作特征曲线分析的最佳视觉相关性。中位随访时间为 62 个月。Cox 回归分析用于评估与复发(RFS)和无进展生存(PFS)的相关性。根据风险组和接受膀胱卡介苗治疗的情况进行亚组分析。
总体而言,293 例患者 NLR≥3。高 NLR 与病理 T 分期和吸烟状态有关。NLR<3 和 NLR≥3 的 5 年 RFS 和 PFS 分别为 55.5%和 45.9%(P=0.01)和 94.9%和 89.9%(P=0.004)。多变量分析表明,NLR≥3 与 RFS 和 PFS 显著相关。NLR 的加入分别使多变量模型的区分度提高了 0.6%和 2.3%。此外,NLR 与接受膀胱卡介苗治疗的患者的结局相关,呈趋势性。
在预测原发性 NMIBC 患者的 RFS 和 PFS 以及识别可能治疗失败并可能从早期根治性膀胱切除术获益的患者时,将 NLR 纳入预测模型可能会有所帮助。局限性在于回顾性设计。