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术前外周血中性粒细胞与淋巴细胞比值(NLR)和血小板与淋巴细胞比值(PLR)相关的列线图可预测局限期小细胞肺癌患者的生存率。

Preoperative peripheral blood neutrophil-to-lymphocyte ratios (NLR) and platelet-to-lymphocyte ratio (PLR) related nomograms predict the survival of patients with limited-stage small-cell lung cancer.

作者信息

Chen Chunji, Yang Haitang, Cai Deng, Xiang Lujie, Fang Wentao, Wang Rui

机构信息

Department of Thoracic Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China.

Nursing Department, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China.

出版信息

Transl Lung Cancer Res. 2021 Feb;10(2):866-877. doi: 10.21037/tlcr-20-997.

Abstract

BACKGROUND

We aim to establish neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) related nomograms based on the clinical data and peripheral blood markers to predict the survivals of patients with limited-stage small-cell lung cancer (LS-SCLC).

METHODS

A total of 299 LS-SCLC patients after surgery were enrolled in this study. Univariate and multivariate analyses were conducted to select independent prognostic factors to develop the nomograms and then subjected to bootstrap internal validation. The optimal cutoff value of NLR and PLR before surgery was calculated by X-tile (version 3.6.1) and the overall survival (OS) was analyzed by Kaplan-Meier method and compared by log-rank test.

RESULTS

According to the X-tile calculation, the NLR value and PLR cutoff values are 2.6 and 156.7, respectively. The prognosis of patients with elevated NLR or PLR value was significantly worse than patients with lower NLR (HR =1.798, 95% CI: 1.284-2.518, P=0.001) or PLR (HR =1.781, 95% CI: 1.318-2.407, P<0.001) value. Two Nomograms were developed according to the two multivariate cox regression models based on NLR and PLR. Concordance index (C-index) curves and calibration curves show that the two models have a better effect in predicting prognosis. At the same time, compared with the tumor node metastasis (TNM) staging system, our models also show better accuracy and stability.

CONCLUSIONS

Elevated NLR and PLR predict poor prognosis in their respective nomograms in patients with LS-SCLC.

摘要

背景

我们旨在基于临床数据和外周血标志物建立中性粒细胞与淋巴细胞比值(NLR)和血小板与淋巴细胞比值(PLR)相关的列线图,以预测局限期小细胞肺癌(LS-SCLC)患者的生存率。

方法

本研究共纳入299例术后LS-SCLC患者。进行单因素和多因素分析以选择独立预后因素来构建列线图,然后进行自抽样内部验证。术前NLR和PLR的最佳截断值通过X-tile(版本3.6.1)计算,总生存期(OS)采用Kaplan-Meier法分析并通过对数秩检验进行比较。

结果

根据X-tile计算,NLR值和PLR截断值分别为2.6和156.7。NLR或PLR值升高的患者预后明显差于NLR(HR =1.798,95%CI:1.284 - 2.518,P = 0.001)或PLR(HR =1.781,95%CI:1.318 - 2.407,P < 0.001)值较低的患者。根据基于NLR和PLR的两个多因素cox回归模型构建了两个列线图。一致性指数(C-index)曲线和校准曲线表明这两个模型在预测预后方面具有较好的效果。同时,与肿瘤淋巴结转移(TNM)分期系统相比,我们的模型也显示出更好的准确性和稳定性。

结论

在LS-SCLC患者中,升高的NLR和PLR在各自的列线图中预测预后不良。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f138/7947425/289b5443df58/tlcr-10-02-866-f1.jpg

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