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作 者:金光植[1] 顾怡瑾[1] 喻昊[2] 丛文铭[1]
机构地区:[1]第二军医大学东方肝胆外科医院病理科,上海200438 [2]第二军医大学东方肝胆外科医院腹腔镜科,上海200438
出 处:《第二军医大学学报》2012年第6期625-628,共4页Academic Journal of Second Military Medical University
基 金:国家自然科学基金(30921006;81072026);上海市科委重点项目(10411951000)~~
摘 要:目的探讨AKR1B10和GPC-3联合应用对提高肝细胞癌(HCC)免疫组化诊断敏感性和特异性的价值。方法制备75例HCC组织芯片作为训练集,进行AKR1B10和GPC-3免疫组化检测,建立Logistic回归诊断模型,以此构建ROC曲线(受试者工作特征曲线),利用其曲线下面积(AUC)对单个指标和联合指标的敏感性和特异性进行评估。将Logistic回归诊断模型用于200例HCC的测试集中,检测其有效性。结果训练集中,AKR1B10和GPC-3的AUC分别为0.773和0.800,联合诊断后的AUC提高至0.931;AKR1B10和GPC-3的敏感性分别为56%和61.3%,特异性均为98.7%,两者联合后的敏感性提高至88.0%,特异性为97.3%。测试集中,AKR1B10联合GPC-3对HCC诊断的敏感性和特异性分别为97.0%和96.5%。结论AKR1B10联合GPC-3明显提高HCC免疫组化诊断的敏感性和特异性,可在常规病理检查中合理组合使用。Objective To explore the value of AKR1B10 combined with GPC-3 in improving the sensitivity and specificity of immunohistochemical diagnosis of hepatocellular carcinoma(HCC).Methods The microarray including 75 HCC and adjacent tissues was subjected to immunohistochemistry detection of AKR1B10 and GPC-3 expression.A Logistic regression diagnostic model was established using the results of tissue microarray(training group).The ROC curves(the receiver-operating characteristic curve) and area under the curve(AUC) were used to evaluate the sensitivity and specificity of AKR1B10,GPC-3 or their combination.The Logistic regression diagnostic model was validated with 200 HCC and adjacent tissues(testing group).Results For the training group,the AUC values of AKR1B10,GPC-3,and AKR1B10 combined with GPC-3 were 0.773,0.800,and 0.931,respectively.The sensitivity of AKR1B10 and GPC-3 were 56% and 61.3%,respectively,and their specificity was both 98.7%.AKR1B10 combined with GPC-3 yielded a sensitivity of 88.0% and a specificity of 97.3%.For the testing group,sensitivity and specificity of AKR1B10 combined with GPC-3 were 97.0% and 96.5%,respectively.Conclusion AKR1B10 combined with GPC-3 can greatly improve the sensitivity and specificity of HCC immunohistochemical diagnosis,and it should be used when necessary in addition to the routine pathological assessment.
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