【摘要】 目的　探讨血浆中肿瘤蛋白实测值建立的Bayes模型对肺癌的诊断价值。方法　采用Western斑点印迹法 ,对确诊的 3 1例肺癌 (肺癌组 )、3 4例非肿瘤性肺疾病 (对照组 )患者血浆中P2 1、P5 3及HSP70蛋白水平进行检测 ,并用其实测值建立Bayes模型。结果　与对照组比较 ,肺癌组P2 1、P5 3及HSP70蛋白水平均增高 ,差异具有显著性 (P <0 .0 1) ;Bayes模型的敏感性、特异性和准确率分别为 73 .3 3 %、78.3 8%和 81.67% ;联合细胞学检测 ,其诊断的敏感性可提高至 87.10 % ;18例细胞学阴性肺癌患者Bayes模型判定阳性 13例 ( 72 .2 2 % )。结论　P2 1、P5 3及HSP70蛋白联合检测建立的Bayes模型是一种新的诊断肺癌的方法 ,可补充细胞学的诊断价值。更多还原

【Abstract】 Objective To explore the diagnosis of lung ca ncer with Bayes model of oncogene proteins.Methods Western Dot Blotting was used to explore the expression of ras,P53 and heat stress protein 70 (HSP70) in t5he cases with lung cancer (L C) and healthy controls.Results The levels of P21,P53,and HSP70 in LC group were higher than those in control group, P <0.01.The sensitivity,specificity and the pred icative rate of Bayes model were 73.33%,78.38% and 81.67% respectively.Co-detec tion of the model and conventional cytology produced a sensitivity of 87.10%.In 18 cases of LC whose cytology was false negative,13(72.22%) were found positive with the model.Conclusions Bayes model of P21,P53 and HSP70 may be used as the screening marker for diagnosis of lung cancer,and may supplement the diagnostic value of conventional cytology.更多还原