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）技术筛选肺癌患者血清和BALF中的差异性表达蛋白,探讨是否可作为诊断肺癌的肿瘤标志物.方法 应用SELDI-TOF-MS技术通过弱阳离子交换蛋白芯片（WCX-2芯片）分别检测35例肺癌和18例肺部良性病变患者血清和BALF中的蛋白质质谱图,用Biomarker Pattern软件分析肺癌的差异蛋白并初步建立诊断模型,通过盲筛进一步验证诊断模型.结果 在肺癌患者血清中发现5个高表达的蛋白质波峰,选用其中质荷比为5639的差异蛋白波峰建立分类树模型,其诊断的敏感度为80%（28/35）,特异度为78%（14/18）.盲法验证的敏感度为85%（17/20）,特异度为90%（9/10）,粗符合率为87%（26/30）,Youden指数为0.7.在肺癌患者BALF中发现8个高表达蛋白质波峰,选用其中质荷比为7976和11 809的差异蛋白波峰建立分类树模型,其诊断的敏感度为86%（30/35）,特异度为72%（13/18）.盲法验证的敏感度为90%（18/20）,特异度为90%（9/1O）,粗符合率为90%（27/30）,Youden指数为0.8.平行试验结果显示两者联合应用时诊断肺癌的敏感度、准确率及特异度均为100%,具有互补作用.结论SELDI-TOF-MS技术可筛选出肺癌患者血清和BALF中差异性表达蛋白,作为一种肿瘤标志物,其诊断敏感度高,特异度好,尤其是BALF中差异性表达蛋白的测定可能具有较好的临床应用前景.
Objective To detect the protein markers in serum and bronchoalveolar lavage fluid （BALF） of the patients with lung cancer by surface-enhanced laser desorption ionization time of flight mass spectrometry （SELDI-TOF-MS） technology, and to explore if they can be used as markers for the diagnosis of lung cancer.Methods SELDI-TOF-MS technology and protein chips weak cation exchange （WCX-2 chip） were used to detect the protein mass spectrum in serum and BALF of 35 patients with lung cancer and 18 cases of benign pulmonary diseases.The different protein markers were analyzed by Biomarker Pattern Software and the initial diagnosis models were set up.The diagnosis models were verified further by blind screen to confirm the efficacy of diagnosis.Results Five protein peaks in the sera of the patients with lung cancer were significantly higher （P 〈 0.05 ）.The protein peak with a mass/charge ratio （M/Z）of 5639 was selected to establish the classification tree model.The sensitivity of diagnosis was 80% （28/35） and the specificity was 78% （14/18）.The results verified by blind screen showed a sensitivity of 85% （17/20）,a specificity of 90% （9/10）, a crude accuracy （CA） of 87% （ 26/30 ） and Youden＇ s index （γ） of 0.7.Eight protein peaks in the BALF of the patients with lung cancer were significantly higher （ P 〈 0.05）.The different protein peaks with M/Z of 7976 and 11 809 respectively were selected to establish the classification tree model.The sensitivity of diagnosis was 86% （30/35） and the specificity was 72% （13/18）.The results verified by blind screen showed a sensitivity of 90% （18/20）, a specificity of 90% （9/10）, a CA of 90% （27/30） and γof 0.8.There was a complementary role in combination of differential proteins in serum and BALF and the sensitivity, specificity and accuracy of diagnosis for lung cancer were 100% by parallel test.Conclusions The SELDI-TOF-MS technology can screen out the differential protein markers in serum and BALF of the
出处
《中华结核和呼吸杂志》
CAS
CSCD
北大核心
2011年第4期274-277,共4页
Chinese Journal of Tuberculosis and Respiratory Diseases
基金
广西自然科学基金（桂科自0991132）
关键词
光谱法
质量
基质辅助激光解吸电离
肺肿瘤
蛋白
Spectrometry, mass, matrix-assisted laser desorption-ionization
Lung neoplasms
Protein
