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目的应用表面加强激光解吸电离飞行时间质谱(SELDI-TOF-MS)方法筛选喉鳞癌(LSCC)血清蛋白质标志物,建立喉癌诊断预测模型。并检测喉癌淋巴结转移相关的血清蛋白标志物。方法收集252例血清标本,其中喉癌患者血清142例,正常对照110例。其中89例喉癌血清,30例有淋巴结转移的喉癌血清和65例正常对照为试验组,53例喉癌血清及45例正常对照为盲法验证组。应用弱阳离子交换芯片(WCX2)经 SELDI-TOF-MS 测定得到蛋白质谱,通过 Biomarker Wizard和 Biomarker Pattern(BPS)软件分析喉癌和正常人血清的蛋白质谱差异,建立喉癌诊断预测模型并进行盲法验证。寻找喉癌转移相关蛋白标志物。结果在质荷比(M/Z)2000～50000范围内,弱阳离子(WCX2)芯片共检测出18个差异蛋白峰,可以鉴别喉癌和正常对照。BPS 自动选用其中一个差异蛋白质峰(4176)建立决策树模型,灵敏性为86.52%,特异性为84.62%(32/36)。盲法验证的灵敏性为84.91%,特异性为82.22%。伴或不伴淋巴结转移的喉癌患者之间检测到14个差异蛋白峰。结论应用 SELDI-TOF-MS 方法可以从血清中筛选出喉癌及淋巴结转移相关的标志蛋白。建立的喉癌诊断预测模型可能对早期发现早期诊断喉癌具有重要的临床意义。
Objective To screen the serum protein markers of laryngeal squamous cell carcinoma (LSCC) by surface enhanced laser desorption / ionization time of flight mass spectrometry (SELDI-TOF-MS) and establish a predictive model of laryngeal cancer. Serum protein markers related to lymph node metastasis of laryngeal cancer were detected. Methods 252 serum samples were collected, including 142 cases of laryngeal cancer serum and 110 cases of normal control. Serum of 89 cases of laryngeal cancer, 30 cases of laryngeal cancer with lymph node metastasis and 65 cases of normal control group for the test group, 53 cases of laryngeal cancer serum and 45 normal controls for the blind test group. Protein profiles were determined by SELDI-TOF-MS with a weak cation exchange chip (WCX2). Protein profiles of laryngeal and normal human sera were analyzed by Biomarker Wizard and Biomarker Pattern (BPS) software to establish a predictive model for laryngeal cancer diagnosis and blind Law verification. Looking for metastasis-related protein markers. Results A total of 18 differential protein peaks were detected in weak cation (WCX2) chip in the mass-to-charge ratio (M / Z) range of 2000-50000, which could identify laryngeal cancer and normal controls. BPS automatically selected one of the differential protein peaks (4176) to establish a decision tree model with a sensitivity of 86.52% and a specificity of 84.62% (32/36). Blind validation of the sensitivity of 84.91%, specificity was 82.22%. Fourteen differential protein peaks were detected between laryngeal cancer patients with and without lymph node metastasis. Conclusion SELDI-TOF-MS method can be used to screen out the markers of laryngeal carcinoma and lymph node metastasis from serum. The establishment of laryngeal cancer diagnosis and prediction model may be early detection of early diagnosis of laryngeal cancer has important clinical significance.