胃癌与慢性胃炎唾液蛋白质组鉴别诊断模型

目的:探讨用蛋白质组学质谱技术筛选慢性胃炎患者与胃癌患者唾液蛋白质表达谱,寻找可用于胃癌与慢性胃炎鉴别诊断的特异性生物标志物.方法:采用蛋白质组学基质辅助激光解吸电离飞行时间质谱(MALDI-TOF-MS)技术,并运用弱阳离子磁珠(WCX)检测慢性胃炎患者和胃癌患者的唾液,得到相应的肽质量指纹图谱,建立鉴别诊断模型.结果:慢性胃炎患者与胃癌患者两组共得到蛋白质峰为77个,其中1个有统计差异显著的蛋白峰(P<0.05),质荷比为:6021.72 Da,通过分析差异蛋白峰表达谱,建立了分类预测模型,识别率为83.54%,预测能力60.23%.以此模型进行临床回代检验结果14例慢性胃炎,其中10例被准确检出,23例胃癌,22例被准确检出,灵敏度71.43%(10/14),特异度95.65%(22/23).结论:初步得到了慢性胃炎与胃癌唾液差异蛋白质表达谱,并初步建立了以6021.72 Da蛋白质区分慢性胃炎与胃癌的唾液蛋白鉴别诊断模型.

Differential salivary proteome profile-based predictive model for discrimination between gastric cancer and chronic gastritis

AIM: To investigate the differential salivary protein expression profile between chronic gastritis and gastric cancer using mass spectrometry-based proteomic technique, and to seek specific biomarkers for discrimination between gastric cancer and chronic gastritis. METHODS: Saliva specimens collected from gastric cancer patients and chronic gastritis patients were detected using weak cation exchange magnetic beads and matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS...