血清肿瘤标志物对SCLC和NSCLC的Fisher判别分析  

Fisher discriminated analysis of serum tumor markers on SCLC and NSCLC

作　　者：南岩东[1] 田应选[1] 杨拴盈[1] 卜丽娜[1] 张潍[1] 周斌[1] 

机构地区：[1]西安交通大学医学院第二附属医院,陕西西安710004

出　　处：《现代肿瘤医学》2008年第3期365-367,共3页Journal of Modern Oncology

基　　金：陕西省自然科学基金资助项目(编号:2005C353)

摘　　要：目的:探讨血清肿瘤标志物对SCLC和NSCLC的鉴别诊断价值。方法:采用电化学发光免疫法检测25例患者血清中CEA、CYFRA21-1、NSE、CA125、CA199及SCCAg的水平;对NSCLC组和SCLC组间统计检验有差异(P<0.05)的血清肿瘤标志物用Fisher判别方法建立判别函数鉴别诊断模型;用该模型回代相应变量对SCLC和NSCLC进行预测分组,检验该判别函数模型的鉴别诊断效果。结果:6种血清肿瘤标志物在NSCLC组和SCLC组间有统计学差异(P<0.05)的变量分别是:CYFRA21-1、NSE和SCCAG;建立的判别函数鉴别诊断模型,在NSCLC组判别正确率89.87%,SCLC组判别正确率87.37%,两组合计判别正确率88.93%。结论:应用Fisher判别法对血清肿瘤标志物建立的判别函数鉴别诊断模型可简便、快速、有效地对NSCLC和SCLC进行鉴别诊断,值得临床借鉴。Objective：To explore the differential diagnosis value of serum tumor markers on NSCLC and SCLC. Methods： Six serum tumor markers, including carcinoma- embryonic antigen （CEA）, cytokeratin fragment antigen 21 - 1 （ CYFRA21 - 1 ）, neuron specific enolase （ NSE）, carbohydrate antigen125 （ CA125 ）, carbohydrate antigen199 （CA199） and squamous cell Carcinoma antigen （SCCAG） were detected in 158 patients with NSCLC and 95 patients with SCLC using electrochemiluminescence immunoassay （ECLIA）. The discriminated model was constructed using Fisher methods according to the statistical difference variables between NSCLC group and SCLC group. In order to validate the differential diagnosis effect of this model, the predicted groups of NSCLC and SCLC were acquired by this model back substitution the corresponding variables. Results： The statistical difference variables between NSCLC group and SCLC group were CYFRA21 - 1, NSE and SCCAG;The correct rates of differential diagnosis using this model were 89.87% in NSCLC group, 87.37% in SCLC group, 88.93% in the whole cases, respectively. Conclusion： The discriminated model of serum tumor markers constructed by Fisher methods could conveniently, rapidly and effectively make differential diagnosis on NSCLC and SCLC and were deserved referred at clinical.

关 键 词：肺癌 肿瘤标志物 判别分析 鉴别诊断 

分 类 号：R734.2[医药卫生—肿瘤]