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中性粒细胞与淋巴细胞比值对胰腺神经内分泌肿瘤分级及预后的预测作用

The Predicting Role of the Neutrophil-to-Lymphocyte Ratio for the Tumor Grade and Prognosis in Pancreatic Neuroendocrine Tumors.

作者信息

Oh Dongwook, Pyo Jung-Soo, Chung Kwang Hyun, Son Byoung Kwan

机构信息

Department of Gastroenterology, Asan Medical Center, University of Ulsan College of Medicine, Seoul 05505, Korea.

Department of Pathology, Uijeongbu Eulji Medical Center, Eulji University School of Medicine, Uijeongbu-si 11759, Korea.

出版信息

Diagnostics (Basel). 2022 Mar 18;12(3):737. doi: 10.3390/diagnostics12030737.

Abstract

This study aims to investigate the prognostic role of the neutrophil-to-lymphocyte ratio (NLR) in pancreatic neuroendocrine tumors (PNETs) using meta-analysis. This study evaluates the correlation between the NLR and the prognosis in PNETs from nine eligible studies. In addition, a subgroup analysis based on the tumor grade, treatment, and evaluation criteria, was conducted. The estimated rate of a high NLR was 0.253 (95% confidence interval (CI) 0.198-0.317). The rate of high NLRs was significantly lower in patients with lower tumor grades (G1) than those with higher tumor grades (G2 or G3). In addition, the mean value of the NLR was significantly lower in lower tumor grades than in higher tumor grades. High NLRs were significantly correlated with worse overall and recurrence-free survivals (hazard ratio (HR) 2.180, 95% CI 1.499-3.169 and HR 2.462, 95% CI 1.677-3.615, respectively). In a subgroup analysis, the prognostic implications of the NLR were found in both higher and lower criteria of a high NLR. Taken together, our results show that the NLR could be useful for predicting the tumor grade and the prognosis in PNETs.

摘要

本研究旨在通过荟萃分析探讨中性粒细胞与淋巴细胞比值(NLR)在胰腺神经内分泌肿瘤(PNETs)中的预后作用。本研究评估了9项符合条件的研究中NLR与PNETs预后之间的相关性。此外,还基于肿瘤分级、治疗和评估标准进行了亚组分析。高NLR的估计发生率为0.253(95%置信区间(CI)0.198 - 0.317)。肿瘤分级较低(G1)的患者中高NLR的发生率显著低于肿瘤分级较高(G2或G3)的患者。此外,肿瘤分级较低的患者NLR平均值显著低于肿瘤分级较高的患者。高NLR与较差的总生存期和无复发生存期显著相关(风险比(HR)分别为2.180,95% CI 1.499 - 3.169和HR 2.462,95% CI 1.677 - 3.615)。在亚组分析中,在高NLR的较高和较低标准中均发现了NLR的预后意义。综上所述,我们的结果表明NLR可用于预测PNETs的肿瘤分级和预后。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6884/8947579/24345ec8ba90/diagnostics-12-00737-g001.jpg

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