机构地区:[1]广西医科大学第一附属医院呼吸内科,南宁530021
出 处:《国际呼吸杂志》2012年第15期1139-1144,共6页International Journal of Respiration
基 金:广西科学研究与技术开发计划项目资助(桂科攻1140003A-11)
摘 要:目的应用表面增强激光解析电离飞行时间质谱(sELDI-TOF-MS)技术筛选出不同病理类型肺癌患者血清、支气管肺泡灌洗液(BALF)和肺癌组织中的差异蛋白,并探讨其临床意义。方法选用WCX-2芯片、SELDI—TOF-MS技术检测20例肺鳞癌、20例肺腺癌和20例肺良性病变患者血清、BALF和肺组织匀浆的蛋白质谱,用Biomarker Patiern软件分析肺鳞猫和肺腺癌的差异蛋白并初步建立诊断模型。结果①肺鳞癌组与肺良性病变组:在血清、BALF、肺组织匀浆中发现存在2、9、8个差异蛋白峰(P〈0.05),分别选用其中质荷比为5124.24、7967.29联合10843.45、7914.59联合8709.66的差异蛋白波峰建立分类树模型,其诊断肺鳞癌的灵敏度分别为85%、80%、75%,特异度分别为65%、80%、90%,正确率分别为75%、80%、83%,阳性预测值分别为71%、80%、88%,阴性预测值分别为81%、80%、78%,其相对应ROC曲线下面积分别为0.750、0.916、0.930。②肺腺癌组与肺良性病变组:在血清、BALF、肺组织匀浆中发现存在8、9、7个差异蛋白峰(P〈0.05),分别选用其中质荷比为9295.79、7923.01、2452.49的差异蛋白波峰建立分类树模型,其诊断肺腺癌的灵敏度分别为75%、80%、70%,特异度分别为65%、90%、85%,正确率分别为70%、85%、78%,阳性预测值分别为68%、89%,82%,阴性预测值分别为72%、82%、71%,其相对应ROC曲线下面积分别为0.844、0.933、0.825。结论肺鳞癌和肺腺癌BALF及肺组织匀浆中的差异蛋白较血清多,诊断效率比血清高,肺鳞癌BALF中质荷比为7967.29和10843.45的差异蛋白峰联合、肺组织匀浆中质荷比为7914.59和8709.66的差异蛋白峰联合建模及肺腺癌BALF中质荷比为7923.01的差异蛋白峰建立分类树诊断模型,其诊断的灵敏度、特异度和正确率可达到75%�Objective To research the differential proteins in serum, bronchoalveolar lavage fluid (BALF) and lung homogenate of patients with non-small cell lung cancer by SELDI-TOF-MS and analyze the clinical significance of differential proteins to identify lung squamous carcinoma or lung adenocarcinoma through an algorithm based on several distinct M/Z features. Methods SELDI-TOF-MS and WCX-2 chip were used to detect the protein mass spectra and screen out the differential proteins in the serum,BALF and lung homogenate of 20 patients with lung squamous carcinoma, 20 patients with lung adenocarcinoma and 20 patients with benign pulmonary diseases. Then they were analyzed by Biomarker Pattern software and the initial diagnostic models were set up. Results (i) Compared with benign pulmonary diseases group, differential protein peaks were two, nine and eight in the serum, BALF and lung homogenate of squamous carcinoma group( P 〈CO. 05). The proteins whose M/Z was 5 124.24,7 967.29 and 10 843.45,7 914.59 and 8 709.66 were selected to establish classification tree of diagnostic model. The sensitivity of diagnosing squamous carcinoma was 85 %, 80 %, 75 %, the specificity was 65 %, 80 %, 90%, the accuracy was 75% ,80% ,83%, the positive predictive value was 71% ,80% ,88%, the negative predictive value was 81%, 80%, 78% and the area under the ROC curve was 0. 750,0. 916,0. 930. (2) Compared with benign pulmonary diseases group, differential protein peaks were eight,nine, seven protein peaks in the serum, BALF and lung homogenate of adenocarcinoma group ( P 〈0.05). The protein whose M/Z was 9 295.79,7 923.01,2 452.49 were selected to establish classification tree of diagnostic model. The sensitivity of diagnosing adenocarcinoma was 75 %, 80 %, 70 %, the specificity was 65 %, 90 %, 85%, the accuracy was 70% ,85% ,78%, the positive predictive value was 68% ,89% ,82%, the negative predictive value was 72%, 82%, 71%, and the area under the ROC curve was 0. 844, 0. 933,0. 825. Conclusions There are more differen
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