摘要
目的:应用液体蛋白芯片飞行时间质谱系统分析卵巢癌的血浆蛋白质表达谱,寻找具有潜在诊断意义的血浆肿瘤标志物,以利于卵巢癌的早期诊断。方法:收集卵巢浆液性癌30例、卵巢浆液性瘤18例、妇科良性疾病(包括卵巢囊肿和子宫肌瘤)30例的血浆样本,经磁珠纯化、基质辅助激光解析电离飞行时间质谱(MALDI-TOF-MS)分析及ClinproTools生物信息学方法研究其血浆蛋白表达谱。结果:在卵巢癌组和非癌组间,得到差异性蛋白48个(P<0.05),用其中四个联合分组能力最强的蛋白质4 210.91(m/z),4 470.17(m/z),2 210.9(m/z),1866.88(m/z)建立了诊断模型,癌组和非癌组的识别率为100%。结论:利用液体芯片-飞行质谱技术进行血浆卵巢癌相关蛋白质的研究,得到了差异蛋白和诊断模型,对卵巢癌的诊断具有潜在价值。
Objective： To screen ovarian cancer-related proteins in plasma by liquid chip - MALDI-TOF Mass Spectrometry and to seek potential biomarkers of ovarian cancer for early diagnosis. Methods： The plasma protein profiling of one group of 30 patients with ovarian serous adenocarcimoma, one group of 18 patients with ovarian serous cystadenoma and one group of 30 patients with myoma of uterus or simple ovarian csyts were analyzed by the ClinProt system （ including functional magnetic bead, MALDI-TOF-MS technology and bio-information software）. Results： The plasma protein of the group of ovarian serous adenocarcimoma and non-cancer group （ the other two groups） were compared and got 48 differential proteins. We established the diagnostic model of ovarian cancer using 4 proteins, 4 210. 91 （ m/z）, 4 470. 17 （m/z）, 2 210. 9 （m/z）, 1 866. 88 （m/z） respectively. The recognition rate of cancer group and non-cancer group were both 100%. Conclusion： The differential proteins and diagnostic model were got by liquid chip- MALDI-TOF Mass Spectrometry after the comparison of cancer＇ s and non-cancer＇ s plasma spectrum. These proteins may have potential diagnosis value of ovarian cancer.
出处
《肿瘤预防与治疗》
2010年第4期274-279,共6页
Journal of Cancer Control And Treatment
基金
国家自然科学基金资助
项目批准号:30471807
