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基于炎症生物标志物和营养指标的列线图预测局部晚期鼻咽癌的总生存期

Nomogram Based on Inflammatory Biomarkers and Nutritional Indicators for Predicting Overall Survival in Locoregionally Advanced Nasopharyngeal Carcinoma.

作者信息

Zhao Rong, Liang Zhongguo, Chen Kaihua, Zhu Xiaodong

机构信息

Department of Radiation Oncology, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, People's Republic of China.

Affiliated Wu-Ming Hospital of Guangxi Medical University, Nanning, Guangxi, People's Republic of China.

出版信息

J Inflamm Res. 2022 May 16;15:2971-2981. doi: 10.2147/JIR.S366299. eCollection 2022.

Abstract

PURPOSE

To establish and validate a nomogram to predict overall survival in locoregionally advanced nasopharyngeal carcinoma (LA-NPC) based on inflammatory biomarkers and nutritional indicators.

PATIENTS AND METHODS

A total of 1304 patients who underwent concurrent chemoradiotherapy (CCRT) with or without induction chemotherapy (IC) or adjuvant chemotherapy (AC) were included in the study. The prognosis factors of overall survival (OS) were selected by Cox regression analysis to establish the nomogram. Concordance index (C-index), calibration curves, decision curve analysis (DCA) and Kaplan-Meier curves were used to evaluate the nomogram.

RESULTS

Using multivariate Cox analysis of clinically important variables, the following variables were incorporated in the prediction of OS: age, gender, T stage, N stage, pre-treatment plasma Epstein-Barr virus (EBV) DNA, neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR), lactic dehydrogenase-to-albumin ratio (LAR) and prognostic nutritional index (PNI). The discriminative ability, clinical usefulness and calibration of the nomogram revealed good predictive ability as indicated by the C-index (0.717 in nomogram and 0.602 in the 8th AJCC staging system), decision curves, calibration curves and K-M curves.

CONCLUSION

Inflammatory biomarkers and nutritional indicators of survival for LA-NPC were selected to create a nomogram predicting OS. The proposed nomogram resulted in more accurate prognostic prediction than 8th AJCC staging system.

摘要

目的

基于炎症生物标志物和营养指标建立并验证一种预测局部区域晚期鼻咽癌(LA-NPC)总生存期的列线图。

患者与方法

本研究共纳入1304例接受同步放化疗(CCRT)联合或不联合诱导化疗(IC)或辅助化疗(AC)的患者。通过Cox回归分析选择总生存期(OS)的预后因素以建立列线图。采用一致性指数(C-index)、校准曲线、决策曲线分析(DCA)和Kaplan-Meier曲线对列线图进行评估。

结果

通过对临床重要变量进行多因素Cox分析,将以下变量纳入OS预测:年龄、性别、T分期、N分期、治疗前血浆EB病毒(EBV)DNA、中性粒细胞与淋巴细胞比值(NLR)、淋巴细胞与单核细胞比值(LMR)、乳酸脱氢酶与白蛋白比值(LAR)和预后营养指数(PNI)。列线图的判别能力、临床实用性和校准显示出良好的预测能力,C-index(列线图为0.717,第8版美国癌症联合委员会(AJCC)分期系统为0.602)、决策曲线、校准曲线和K-M曲线均表明了这一点。

结论

选择LA-NPC生存的炎症生物标志物和营养指标来创建预测OS的列线图。所提出的列线图比第8版AJCC分期系统能更准确地进行预后预测。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/12dc/9122053/93789eae7704/JIR-15-2971-g0001.jpg

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