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    陈挺, 闵琦, 张永杰. 胆碱酯酶、中性粒细胞与淋巴细胞比值在转移性胃癌全身化疗中的预后价值[J]. 徐州医科大学学报, 2022, 42(4): 260-267. DOI: 10.3969/j.issn.2096-3882.2022.04.005
    引用本文: 陈挺, 闵琦, 张永杰. 胆碱酯酶、中性粒细胞与淋巴细胞比值在转移性胃癌全身化疗中的预后价值[J]. 徐州医科大学学报, 2022, 42(4): 260-267. DOI: 10.3969/j.issn.2096-3882.2022.04.005
    The Prognostic value of cholinesterase (ChE) and neutrophil-lymphocyte ratio (NLR) in me<x>tastatic Gastric Cancer Treated with Systemic Chemotherapy[J]. Journal of Xuzhou Medical University, 2022, 42(4): 260-267. DOI: 10.3969/j.issn.2096-3882.2022.04.005
    Citation: The Prognostic value of cholinesterase (ChE) and neutrophil-lymphocyte ratio (NLR) in me<x>tastatic Gastric Cancer Treated with Systemic Chemotherapy[J]. Journal of Xuzhou Medical University, 2022, 42(4): 260-267. DOI: 10.3969/j.issn.2096-3882.2022.04.005

    胆碱酯酶、中性粒细胞与淋巴细胞比值在转移性胃癌全身化疗中的预后价值

    The Prognostic value of cholinesterase (ChE) and neutrophil-lymphocyte ratio (NLR) in me<x>tastatic Gastric Cancer Treated with Systemic Chemotherapy

    • 摘要: 目的探讨治疗前血清胆碱酯酶(ChE)和中性粒细胞/淋巴细胞比值(NLR)与转移性胃癌患者预后的相关性,并建立转移性胃癌患者列线图预测模型。方法回顾性分析行一线化疗的101例转移性胃癌患者的临床及病理资料,利用X-tile程序计算ChE、NLR最佳截断值。分析ChE、NLR与其他临床特征之间的关系,并检测两者之间的相关性。运用Kaplan-Meier法分析ChE、NLR对患者总生存期(OS)的影响。通过COX分析筛选与转移性胃癌独立预后相关的参数,通过R软件绘制列线图并进行内部验证。结果多因素结果分析显示,ChE、NLR、体力状况评分(ECOG评分)和糖类抗原-199(CA-199)是OS的独立危险因素。采用上述影响转移性胃癌患者OS的独立危险因素构建列线图预测模型,所得列线图具有较好的区分度和校准度,列线图预测模型的一致性指数(C-index)为0.673。包含ChE的预测列线图和受试者工作特征(ROC)曲线优于不包含ChE的预测列线图和ROC曲线。结论ChE和NLR用于预测转移性胃癌患者预后具有较高的临床价值,包含ChE的列线图模型符合度良好,可较准确地判断转移性胃癌患者的预后。

       

      Abstract: ob<x>jective To explore the prognostic value of pretreatment cholinesterase(ChE) and neutrophil-to-lymphocyte (NLR) in the patients with me<x>tastatic gastric cancer . Methods We retrospectively enrolled 101 patients who were pathologically diagnosed with me<x>tastatic gastric cancer and treated with first-line chemotherapy at the Affiliated Huai’an Hospital of Xuzhou Medical University between January 2012 to October 2020 into this study. The optimal cutoff values of ChE and NLR were calculated by X-tile program. Association between ChE, NLR and other clinicopathological characteristics was determined by chi-square test. Pearson correlation analyses were applied to analyze the correlation among ChE and NLR. Kaplan-Meier methods were used to analyze the correlations of ChE and NLR with the OS of patients . Multivariate COX regression was used to analyze the predictors significantly associated with OS, and R software was used to draw the nomogram, which was verified internally. Results Multivariate analysis showed that ChE、NLR、ECOG and CA-199 were independent influencing factors of OS in patients with me<x>tastatic gastric cancer. These independent factors were taken into account to construct a nomogram prediction model. This model had good discrimination and calibration and the C-index of the nomogram prediction model in this study was 0.673. Predictive nomograms and time-independent receiver operating characteristic (ROC) curve that included the ChE score group were superior to those without ChE scores.Conclusion There are certain value for ChE and NLR in predicting the prognosis of patients with me<x>tastatic gastric cancer. The nomogram including ChE has a good coincidence and can accurately predict the prognosis of me<x>tastatic gastric cancer

       

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