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血清神经元特异性烯醇化酶在非小细胞肺癌中的价值。

Value of serum neuron-specific enolase in nonsmall cell lung cancer.

作者信息

Diez M, Torres A, Ortega L, Maestro M, Hernando F, Gomez A, Picardo A, Granell J, Balibrea J L

机构信息

General Surgery, University Hospital Principe de Asturias, Alcala de Henares, Spain.

出版信息

Oncology. 1993 Mar-Apr;50(2):127-31. doi: 10.1159/000227163.

DOI:10.1159/000227163
PMID:8383830
Abstract

To assess the prognostic value of pretreatment serum neuron-specific enolase (NSE) in nonsmall cell lung cancer (NSCLC), levels were measured in 84 NSCLC patients, 40 healthy controls, and 20 patients with benign pulmonary diseases. NSE concentration was higher in NSCLC (11.7 +/- 10.8 ng/ml) (mean +/- SD; median = 9.7 ng/ml) than in the two control groups (p < 0.001). Serum NSE was neither related with the tumor-node-metastasis (TNM) stage, nor with histologic subtype. At a cutoff value of 15 ng/ml, NSE had a sensitivity of 27.3% and a specificity of 96%. Patients with a preoperative NSE level < 15 ng/ml showed significantly longer 24-month survival than those whose initial levels were > 15 ng/ml (70 vs, 47%; p < 0.05), and this was confirmed after stratifying by TNM stage. Likelihood of tumor relapse in I, II, and IIIa TNM stages showed similar behavior. These findings suggest that NSE could be used as an adjunctive prognostic test in NSCLC patients.

摘要

为评估治疗前血清神经元特异性烯醇化酶(NSE)在非小细胞肺癌(NSCLC)中的预后价值,对84例NSCLC患者、40例健康对照者以及20例良性肺部疾病患者进行了NSE水平检测。NSCLC患者的NSE浓度(11.7±10.8 ng/ml)(均值±标准差;中位数=9.7 ng/ml)高于两个对照组(p<0.001)。血清NSE与肿瘤-淋巴结-转移(TNM)分期及组织学亚型均无关。NSE临界值为15 ng/ml时,其敏感性为27.3%,特异性为96%。术前NSE水平<15 ng/ml的患者24个月生存率显著高于初始水平>15 ng/ml的患者(70%对47%;p<0.05),按TNM分期分层后也得到证实。TNM I、II和IIIa期肿瘤复发的可能性表现相似。这些结果表明,NSE可作为NSCLC患者的辅助预后检测指标。

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引用本文的文献

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Front Oncol. 2021 Jun 11;11:645159. doi: 10.3389/fonc.2021.645159. eCollection 2021.
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Plasma neuron-specific enolase level as a prognostic marker in patients with non-small cell lung cancer receiving gefitinib.血浆神经元特异性烯醇化酶水平作为接受吉非替尼治疗的非小细胞肺癌患者的预后标志物。
Mol Clin Oncol. 2015 Jul;3(4):802-806. doi: 10.3892/mco.2015.568. Epub 2015 May 14.
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Validation of an algorithm able to differentiate small-cell lung cancer (SCLC) from non-small-cell lung cancer (NSCLC) patients by means of a tumour marker panel: analysis of the errors.
通过肿瘤标志物组合鉴别小细胞肺癌(SCLC)与非小细胞肺癌(NSCLC)患者的算法验证:误差分析
Br J Cancer. 1997;75(3):448-50. doi: 10.1038/bjc.1997.75.