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目的:用表面增强激光解吸离子化飞行时间质谱(SELDI-TOF-MS)分析喉癌和正常人血清蛋白指纹图谱的变化,建立能鉴别喉癌和正常人血清标志物的诊断模型。方法:收集46例喉癌患者和51例正常人的血清,用WCX2(弱阳离子交换芯片)蛋白质芯片和SELDI-TOF-MS检测蛋白质质谱的表达。用Biomarker Pat-ternsSoftware分析软件进行数据处理,建立区分喉癌与正常人血清中蛋白质谱差异表达模型,并用此模型对另外12例喉癌患者及13例正常人进行盲法交叉验证。结果:在分子量2000~20000范围内,共检测到76个有差异的蛋白峰,其中27个有统计学意义(P<0.05),建立了由3个差异蛋白组成的喉癌诊断模型,其准确率为88.7%(86/97),敏感性为87%(40/46),特异性为90.2%(46/51),双盲法验证结果其敏感性为83.3%(10/12),特异性为84.6%(11/13)。结论:用SELDI-TOF-MS技术初步建立的区分喉癌与正常人血清蛋白差异表达模型可以区别喉癌和正常人,可能为喉癌的早期诊断提供了新的手段。
OBJECTIVE: To analyze the changes of serum protein fingerprints of laryngeal carcinoma and normal human by using surface-enhanced laser desorption / ionization time-of-flight mass spectrometry (SELDI-TOF-MS) and to establish a diagnostic model to identify serum markers of laryngeal carcinoma and normal human. Methods: Serum from 46 patients with laryngeal cancer and 51 normal controls were collected. The expression of protein was detected by WCX2 (weak cation exchange chip) protein chip and SELDI-TOF-MS. Data processing was performed with Biomarker Pat-terns Software software to establish a differential expression pattern of proteins in serum differentiating between laryngeal and normal subjects. Blind cross-validation was performed in 12 additional laryngeal cancer patients and 13 normal subjects using this model. Results: A total of 76 differential protein peaks were detected in the range of 2000-20000, of which 27 were statistically significant (P <0.05). A diagnostic model of laryngeal cancer consisting of three differential proteins was established, which was accurate The sensitivity and specificity were 88.7% (86/97), 87% (40/46) and 90.2% (46/51), respectively. The sensitivity of double-blind method was 83.3% (10/12) Sex was 84.6% (11/13). Conclusion: The differential expression model of serum protein between laryngeal cancer and normal people, which was preliminarily established by SELDI-TOF-MS technique, can distinguish laryngeal cancer from normal people and may provide a new method for the early diagnosis of laryngeal cancer.