摘要
目的探讨微阵列酶联免疫法(Array-ELISA)检测多项肿瘤标志物诊断原发性肝癌(PHC)的临床价值。方法采用Array-ELISA检测82例PHC组、48例肝脏良性疾病组、113例正常体检组(对照组)血清中的肿瘤标志物AFP、CA199、CA125、CA153、CEA、PSA的水平,应用Logistic回归模型绘制ROC曲线并计算曲线下面积(AUC)来评价各指标的诊断价值。结果 PHC组AFP、CEA、CA125、CA199水平均明显高于对照组及肝脏良性疾病组(P<0.05),3组CA153和PSA比较差异无统计学意义(P>0.05)。PHC组单项指标中AFP诊断价值最高(AUC=0.915,灵敏度90.2%,特异度80.1%,正确度84.1%);联合检测Logistic回归产生的预测变量PRE诊断价值优于AFP(AUC=0.935,灵敏度92.7%,特异度88.5%,正确度88.7%)。结论 AFP、CEA、CA125、CA199联合检测具有较高的敏感性和准确度有助于PHC诊断,Array-ELISA可能具有方法学的优势。
Objective To investigate the application value of Array-ELISA in diagnosing primary hepatocarcinoma（PHC）by detecting multi-tumor markers.Methods Using Array-ELISA to determine and analyze the concentration value of 6 tumor markers（AFP,CEA,CA199,CA125,CA153 and PSA） in sera of 82 PHC,48 patients with benign liver disease,and 113 normal individuals.The results were analyzed by logistic regression equation and ROC curve.Results The serum levels of AFP,CEA,CA125,CA199 in the patients with breast cancer were higher than those of normal individuals and patients with benign liver disease（P0.05）.The levels of the other two tumor markers were not significantly different among the three groups（P0.05）.In the PHC,AFP was the most valuable as a single index（AUC=0.915,sensitivity 90.2%,specificity 80.1%,accuracy 84.1%）;However,the PRE by Logistic regression from the combining detection showed higher value than that from AFP（AUC=0.935,sensitivity 92.7%,specificity 88.5%,accuracy 88.7%）.Conclusion There could be higher sensitivity and accuracy through combining detection of AFP,CEA,CA125,and CA199,and Array-ELISA may have more advantage in method.
出处
《国际检验医学杂志》
CAS
2012年第24期2967-2968,2973,共3页
International Journal of Laboratory Medicine
基金
南京军区科技攻关项目(07M016)
