Song Xin, Zhang Gui-Ming, Ma Xiao-Cheng, Luo Lei, Li Bin, Chai Dong-Yue, Sun Li-Jiang
Department of Urology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, People's Republic of China.
Onco Targets Ther. 2016 Mar 11;9:1399-407. doi: 10.2147/OTT.S97520. eCollection 2016.
The aim of this study was to investigate the prognostic value of preoperative neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), and lymphocyte-monocyte ratio (LMR) in patients with upper urinary tract urothelial carcinoma (UUTUC).
We retrospectively analyzed the clinical data of 140 patients with UUTUC who underwent radical nephroureterectomy from January 2005 to December 2011. We plotted receiver operating characteristic curves of NLR, PLR, and LMR for the diagnosis of tumor recurrence. Survival analysis was performed using the Kaplan-Meier method and log-rank test. Independent risk factor analysis was performed using a Cox proportional hazards regression model.
Receiver operating characteristic curves showed that NLR was superior to PLR and LMR as a predictive factor in patients with UUTUC undergoing radical nephroureterectomy. Univariate analysis revealed that NLR (P<0.001 and P<0.001), PLR (P=0.01 and P<0.001), and LMR (P<0.001 and P<0.001) were significantly associated with disease-free survival and progression-free survival (PFS), respectively. Multivariate analysis identified NLR and LMR as independent prognostic factors for disease-free survival (P=0.035 and P=0.002) and PFS (P=0.005 and P=0.002), respectively.
NLR and LMR could be independent predictors of disease-free survival and PFS, and NLR is a superior predictive factor to LMR.
本研究旨在探讨术前中性粒细胞与淋巴细胞比值（NLR）、血小板与淋巴细胞比值（PLR）及淋巴细胞与单核细胞比值（LMR）在上尿路尿路上皮癌（UUTUC）患者中的预后价值。
我们回顾性分析了2005年1月至2011年12月期间接受根治性肾输尿管切除术的140例UUTUC患者的临床资料。我们绘制了NLR、PLR和LMR用于诊断肿瘤复发的受试者工作特征曲线。采用Kaplan-Meier法和对数秩检验进行生存分析。使用Cox比例风险回归模型进行独立危险因素分析。
受试者工作特征曲线显示，在接受根治性肾输尿管切除术的UUTUC患者中，NLR作为预测因子优于PLR和LMR。单因素分析显示，NLR（P<0.001和P<0.001）、PLR（P=0.01和P<0.001）和LMR（P<0.001和P<0.001）分别与无病生存期和无进展生存期（PFS）显著相关。多因素分析确定NLR和LMR分别为无病生存期（P=0.035和P=0.002）和PFS（P=0.005和P=0.002）的独立预后因素。
NLR和LMR可能是无病生存期和PFS的独立预测因子，且NLR是比LMR更优的预测因子。
