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Predicting Individual Prognosis and Grade of Patients with Glioma Based on Preoperative Eosinophil and Neutrophil-to-Lymphocyte Ratio
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-lymphocyt...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7368567/ https://www.ncbi.nlm.nih.gov/pubmed/32765082 http://dx.doi.org/10.2147/CMAR.S260695 |
Sumario: | 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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