摘要
目的:评价不同血清肿瘤标志物对老年支气管肺癌的诊断价值,筛选最佳诊断效能标志物及标志物组合。方法:采用电化学发光免疫法检测所有对象血清中Fer、CEA、CA724、Cyfra211、NSE、CA125、CA199、CA153的表达水平;对肺癌组及对照组间有统计学差异的血清肿瘤标志物用Logistic逐步回归法建立函数诊断模型;并进行预测分类,筛选诊断效能最佳的单一标志物及标志物组合。结果:在肺癌及对照组之间,各单一指标检测均有显著性差异(P<0.05);其中Cyfra211为最佳单一指标;在组合模型诊断效价评定中,CEA+NSE+Cyfra211组合具有更好的临床价值。结论:应用Logistic逐步回归函数诊断模型可有效筛选灵敏度及特异度较好的血清肿瘤诊断标志物,可简便、快速、有效使用标志物及标志物组合对老年肺癌进行早期诊断。
Objective：To evaluate the diagnostic value of differential serum tumor markers for diagnosing elderly lung cancer and screening the excellent marker or markers combination.Methods：To detect serum tumor markers：Fer,CEA,CA724,Cyfra211,NSE,CA125,CA199,CA153 by using electrochemiluminescence immunoassay（ECLIA）,and which were significant difference in expression levels between lung cancer group and control group would be established function diagnostic model by logistic stepwise methods,then forecast classification,screen the excellent marker or markers combination lastly.Results：There are significant difference in expression levels of single marker between lung cancer group and control group,Cyfra211was the best single index.A discriminate model which was composed of CEA＋ NSE＋Cyfra211 was considered the best model.Conclusion：Using the Logistic methods to construct discriminate models by serum tumor markers could conveniently,rapidly and effectively make differential diagnosis elderly lung cancer,and convenient for clinical diagnosis.
出处
《现代肿瘤医学》
CAS
2010年第11期2139-2142,共4页
Journal of Modern Oncology
