医学
内科学
多元分析
比例危险模型
单变量分析
切断
中性粒细胞与淋巴细胞比率
癌症
肿瘤科
单变量
肾切除术
淋巴细胞
肾细胞癌
胃肠病学
多元统计
肾
物理
统计
数学
量子力学
作者
Gustavo Jankilevich,Matias Salazar,Gabriela Nacuzzi,D Chirino,Luciana Gennari
标识
DOI:10.1200/jco.2017.35.15_suppl.e16059
摘要
e16059 Background: Several biomarkers were tested in mRCC but only outcome scores showed prognostic significance. Neutrophil-to-lymphocyte ratio (NLR) has shown prognostic significance for OS in a number of cancer types but value and cutoff in mRCC is unknown. Methods: The aim of this study was to evaluate NLR as prognostic factor and find a cutoff in mRCC pts. The medical records of 103 pts with mRCC were reviewed. Analysis included adjusting for baseline disease and patient characteristics and investigating potential interaction effects between NLR status and significant BL predictors of outcome. Overal Survivall (OS) was estimated by the Kaplan-Meier method.Univariate and multivariate analysis was performed by Cox regression. Results: Total pts reviewed were 103, MSKCC risk groups (37% Good, 47% Intermediate,16% Poor).Median follow up were 50 months and median OS 29 months. Nephrectomy was performed in 81% of cases.Ninety six percent received treatment (tki – mTor inhibitors). The optimal cutoff was 4, pts with NLR ≤4 vs ≥4 have higher OS 32m vs 10m HR 3,38 (IC95%: 2,60- 4,50 p:0,0001) univariate and HR: 4,32 (IC 95%: 3,35-5,4 p:0,003) in the multivariate analysis. Conclusions: Our series show MSKCC score and RLN were prognostic factors in univariable and multivariable analisys. NRL ≥ 4 identify a group of patients with poor overall survival. The NLR provides independent prognostic information for patients with mRCC and could be useful in academic and community setting. [Table: see text]
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