Can Neutrophil-to-Lymphocyte ratio predict the response to BCG in high-risk non muscle invasive bladder cancer?

中性粒细胞与淋巴细胞比值能否预测高危非肌层浸润性膀胱癌对卡介苗的反应?

阅读:2

Abstract

OBJECTIVES: To evaluate the neutrophil-to-lymphocyte ratio (NLR) as a prognostic factor for response of high risk non muscle invasive bladder cancer (HRNMIBC) treated with BCG therapy. MATERIALS AND METHODS: Between March 2010 and February 2014 in a tertiary center 100 consecutive patients with newly diagnosed HRNMIBC were retrospectively analyzed. Patients were divided according to NLR value: 46 patients with NLR value less than 3 (NLR < 3 group), and 54 patients with NLR value more than 3 (NLR ≥ 3 group). At the end of follow-up 52 patients were high grade disease free (BCG-responder group) and 48 patients underwent radical cystectomy for high grade recurrence or progression to muscle invasive disease (BCG non-responder group). The average follow-up was 60 months. INTERVENTION: analysis and correlation of preoperative NLR value with response to BCG in terms of recurrence and progression. RESULTS: The optimal cut-off for NLR was ≥ 3 according to the receiver operating characteristics analysis (AUC 0.760, 95% CI, 0.669-0.850). Mean NLR value was 3.65 ± 1.16 in BCG non-responder group and 2.61 ± 0.77 in BCG responder group (p = 0.01). NLR correlated with recurrence (r = 0.55, p = 0.01) and progression risk scores (r = 0.49, p = 0.01). In multivariate analysis, NLR (p = 0.02) and EORTC recurrence risk groups (p = 0.01) were associated to the primary endpoint. The log-rank test showed statistically significant difference between NLR < 3 and NLR ≥ 3 curves (p < 0.05). CONCLUSIONS: NLR value preoperatively evaluated could be a useful tool to predict BCG response of HRNMIBC. These results could lead to the development of prospective studies to assess the real prognostic value of NLR in HRNMIBC.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。