Predicting Individual Prognosis and Grade of Patients with Glioma Based on Preoperative Eosinophil and Neutrophil-to-Lymphocyte Ratio

基于术前嗜酸性粒细胞和中性粒细胞与淋巴细胞比值预测胶质瘤患者的个体预后和分级

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Abstract

PURPOSE: Eosinophils are proven to play a role in the prognosis of some malignant-tumors. The prognostic value of eosinophils in glioma patients is, however, scarcely reported. The authors of this article have designed a novel prognostic indicator based on eosinophils and the neutrophil-to-lymphocyte ratio (NLR), named ENS, to predict the survival of patients with glioma. METHODS: A retrospective study was conducted on 217 glioma patients. The cut-off values for eosinophil, NLR, and other clinical variables were determined by the receiver operating characteristic (ROC) curve analysis. Patients with both low eosinophil count (<0.08 ×10(9)/L) and high NLR (≥1.70) were given a score of 2. Those with one or neither got a score of 1 or 0, respectively. The nomogram was based on ENS and several other clinical variables, its performance was determined by the concordance index (c-index). RESULTS: Our results showed that ENS is an independent prognostic indicator for overall survival (OS). The three-year OS rates for low-grade glioma patients (LGGs) were 84.0%, 69.0%, and 46.4% for ENS=0, ENS=1, and ENS=2, respectively (P=0.014). The three-year OS incidence for LGGs stratified into eosinophils count ≥0.08×109/L and<0.08×109/L subgroups were 88.1% and 80.0%, respectively (P=0.043). ENS was positively correlated with glioma grade (r=0.311, P<0.001). The c-index for OS prognosis was 0.80 using this nomogram in LGGs. CONCLUSION: Preoperative ENS can predict OS to some extent for LGGs and can increase prognostic accuracy for individual OS in LGGs postoperatively when incorporating other clinical variables compose a nomogram.

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