表面增强激光解吸-电离质谱法筛选唾液中口腔鳞状细胞癌蛋白标志物

目的 在唾液中筛选口腔癌前病变、鳞状细胞癌、转移癌并与健康人鉴别的肿瘤蛋白标志物.方法 在CM-10蛋白质芯片上采用表面增强激光解吸-电离(Surface enhanced laser desorption/ionization(SELDI)质谱法技术对口腔白斑(6例)、鳞状细胞癌(17例)、转移癌(7例)和健康者(15人)的非刺激性全唾液中的蛋白标志物进行检测,支持向量机法建立指纹图谱诊断模式.结果 口腔鳞状细胞癌和健康人唾液蛋白鉴别模式:蛋白质荷比峰(简称:质荷比)5797、2902、3883和4951组合,敏感性为88.24%、特异性为93.33%;口腔鳞状细胞癌和白斑鉴别模式:质荷比为5818、4617和3884的组合,敏感性为100.00%、特异性为100.00%;口腔鳞状细胞癌和局部转移癌的鉴别模式:质荷比为55 809和5383的组合,敏感性为94.12%、特异性为85.71%.结论 通过SELDI质谱法技术筛选出的肿瘤标志物可以辅助口腔鳞状细胞癌的早期诊断,预测白斑向鳞状细胞癌转化及癌局部转移的潜能.

Application of saliva protein fingerprints in the diagnosis of oral squamous cell cancer by surface enhanced laser desorption ionization time of flight mass

Objective To screen proteomic markers of oral precancerous lesion,local and metastatic squamons cell cancer from human saliva.Methods Seventeen patients with oral squamous cell carcinoma.six cases with leukoplakia.seven cases with local metastasis and 15 healthy subjects were selected.All patients were diagnosed of T_1N_0M_0 and did not accept any preoperative treatment.Saliva samples were collected preoperatively,combined in the chips(CM-10)for two copies,and tested by surface enhanced laser desorption/ionization(SELDI)mass spectrometry respectively.Chips were detected by the PBS-Ⅱ plus mass spectrometer reader.Mass accuracy Was calibrated by the all-in-one peptide molecular mass standard(ciphergen ciosystems).Results The difierentiated pattern between oral squamous cell carcinoma and healthy people consisted of four biomarker peaks of 5797,2902,3883,4951(mass/charge)with the sensitivity of 88.24%and specificity of 93.33%.The differentiated pattern between oral squamous cell carcinoma and leukoplakia consisted of three biomarker peaks of 5818.4617 and 3884 with the sensitivity of 100.00%and specificity of 100.00%.The differentiated pattern between oral squamous cell carcinoma and oral cancer with local metastatic consisted of three biomarker peaks of 55 809 and 5383 (mass/charge)with the sensitivity of 94.12%and specificity of 85.71%.Conclusions The biomarkers selected by SELDI could help in the adjuvant early diagnosis of oral cancer and forecasting the transformation from leukoplakia to oral cancer and metastasis.