摘要
目的:应用SELDI蛋白质芯片检测胃癌患者血清蛋白质指纹图谱,筛选候选肿瘤标志物以建立诊断模型。方法:表面加强激光解吸电离-飞行时间质谱(SELDI-TOF-MS)技术及其配套蛋白质芯片检测34例胃癌患者(Ⅰ/Ⅱ期12例与Ⅲ/Ⅳ期22例)和30例健康人的血清蛋白质组图谱,运用判别分析处理数据筛选标志物并建立诊断模型。结果:2046m/z、1179m/z、1817m/z、1752m/z和1588m/z等5个蛋白质峰组合所构建的诊断模型能达到鉴别胃癌患者和健康人的最佳诊断效果,特异度94.1%(32/34),灵敏度93.3%(28/30)。单个4665m/z蛋白质峰诊断模型可达到鉴别Ⅰ/Ⅱ期与Ⅲ/Ⅳ期胃癌效果,其特异度91.6%(11/12),灵敏度95.4%(21/22)。结论:该方法在胃癌的诊断尤其是早期诊断方面具有一定价值,值得进一步研究。
Objective： To detect the serum proteinic patterns using SELDI - TOF- MS ProteinChip array technology in gastric cancer, screen biomarker candidates, build diagnostic models and evaluate its clinical significance in early gastric cancer. Methods： SELDI - TOF- MS ProteinChip was used to detect the seram proteinic patterns of 34 patients with gastric cancer （ 12 cases of Ⅰ / Ⅱ stage and 22 cases of Ⅲ/Ⅳ stage） and 30 healthy people. The diagnostic models were developed and validated by discriminant analysis. Results： Five protein peaks at 2046m/z, 1179m/z, 1817m/z, 1752m/z and 1588m/z were automatically chosen as a biomarker pattern and it could do the best in the diagnosis of gastric cancer, compared with the proteinic patterns of 34 patients with gastric cancer and 30 healthy people. The specificity and sensitivity of it were 94.1% （32/34）and 93.3 % （28/30）, respectively. We also found that the single peak 4665m/z could distinguish stage Ⅰ / Ⅱ stage and Ⅲ/Ⅳ stage gastric cancer. The specificity and sensitivity of it were 91.6% （11/12） and 95.4% （21/22）. Conclusions： This method shows great potential in diagnosing gastric cancer, especially in diagnosing early gastric cancer.
出处
《现代生物医学进展》
CAS
2006年第8期12-14,18,共4页
Progress in Modern Biomedicine
基金
黑龙江省自然科学基金(D0349)
哈尔滨市科学技术计划项目(2005AA9cs116-14)
