摘要
目的利用表面增强激光解析离子化飞行时间质谱仪及其配套蛋白质芯片筛选胃癌生物学标志物,初步探讨建立的诊断模型在胃癌诊断中的临床意义。方法用美国Ciphergen公司研制的蛋白指纹图谱仪和蛋白质芯片检测40例胃癌患者、20例胃溃疡患者和20例正常人血清蛋白质的相对含量,用SPSS 11.5软件分析处理数据,筛选标志物,建立诊断模型。结果在正常人中未发现差异蛋白质峰表达;胃溃疡患者中仅1例有差异蛋白质峰表达,质荷比分别为5910和4095;在胃癌中共发现5个差异有统计学意义的蛋白质峰表达,质荷比分别为:3300、5329、4095、5910和8691。筛选质荷比为4095、5910和8691建立诊断模型,诊断灵敏度和特异度分别为92.5%和97.5%。结论蛋白指纹图谱技术在胃癌的早期诊断及筛选生物学标志物方面有很大的价值,值得进一步研究及推广应用。
Objective To detect the serum protein fingerprint in gastric cancer patients by using the surfaceenhanced laser desorption-ionization time-of-flight mass spectrometry （SELDI-TOF-MS） and protein chip array technology, screen biomarker candites, build diagnostic models and evaluate its clinical significance. Methods The serum proteomic patterns were detected in 40 patients with gastric cancer, 20 patients with gastric ulcer and 20 healthy blood donors. The diagnostic models were developed and valited by discriminant analysis. Results The peak intensity of differential expression proteins was not found in healthy blood donors, and 1 case was found in patient with gastric ulcer （m/z： 5 910,4 095）. The peak intensity of 5 329, 4 095, 5 910, 8 691 and3 300 （m/z） proteins were significantly higher in 40 gastric cancer patients than those in 20 gastric ulcer patients and 20 healthy blood donors （P〈0.05）. Three differential expression proteins were set up a diagnostic model together to diagnose gastric cancer. The diagnostic model made up of the differential expression proteins of 4 095, 5 910 and 8 691 had a sensitivity of 92.5% and a specificity of 97.5%. Conclusion Using SELDI-TOF-MS shows great potential to detect, and screen novel and better biomarkers for gastric cancer.
出处
《中国普外基础与临床杂志》
CAS
2009年第1期23-27,共5页
Chinese Journal of Bases and Clinics In General Surgery
关键词
胃癌
蛋白质组学
血清标志物
表面增强激光解析离子化飞行时间质谱仪
诊断
Gastric cancer
Proteomic
Serum marker
Surface-enhanced laser desorption-ionization timeof-flight mass spectrometry
Diagnosis
