唾液蛋白指纹图谱在乳腺癌中医辨证分型中的应用初探

Application of Salivary Protein Fingerprint Model in the Syndrome Differentiation of Breast Cancer

目的:应用表面增强激光解吸电离飞行时间质谱(SELDI-TOF-MS)技术检测乳腺癌肝郁气滞证和肝肾阴虚证患者唾液蛋白质,筛选特异的蛋白质标记物,构建用于区分乳腺癌肝郁气滞证和肝肾阴虚证的唾液蛋白质指纹图谱模型。方法:SELDI-TOF-MS技术测定47例唾液标本(其中乳腺癌肝郁气滞证26例,肝肾阴虚证21例)的蛋白质质谱,建立乳腺癌中医证候诊断模型。结果:样本共检测到243个蛋白质峰,其中33个蛋白质峰在两组间差异有统计学意义。获得M/Z为8087.575和3378.142Da2个蛋白质组成的诊断模型,可将乳腺癌肝郁气滞证和肝肾阴虚证正确区分,26例乳腺癌肝郁气滞证有25例被准确诊断,21例肝肾阴虚证患者被准确排除,灵敏度96.15%(25/26);特异度为80.95%(17/21)。结论:SELDI-TOF-MS技术建立乳腺癌中医证候唾液蛋白质指纹图谱模型为中医证候的辨别提供了一种特异性强、敏感性高的新方法,值得进一步研究和应用。

Objective To find new biomarkers and establish salivary protein fingerprint models for the syndrome differentiation of breast cancer by SELDI-TOF-MS technology.Methods 47 salivary samples（including 26 cases of stagnation of Hepatic Qi syndrome of breast cancer and 21 deficiency of syndrome of both liver and kidney-YIN of breast cancer） were tested by SELDI-TOF-MS technology.The data of spectra were analyzed by bioinformatics tools and biomarker pattern discrimination software to establish diagnosis model.Results 243 protein peaks were detected,and the data showed that 33 protein peaks have significant differences between stagnation syndrome of Hepatic-Qi and deficiency syndrome of both liver and kidney-YIN.The detective model combined with 2 biomakers could differentiate Hepatic Qi syndrome from deficiency syndrome of both liver and kidney-YIN with specificity of 80.95% and the sensitivity of 96.15%.Conclusion Salivary protein fingerprint model of breast cancer is a novel effective method for diagnosis of the syndrome differentiation by SELDI-TOF-MS