【摘要】 目的:建立食管与贲门双源癌的蛋白质组指纹诊断模型,筛选食管贲门双源癌相关蛋白,为建立食管贲门双源癌肿瘤标志提供理论基础。方法:采用表面增强激光解吸离子化飞行时间质谱仪(SELDI-TOF-MS)技术对19例食管贲门双源癌(双源癌组)和50位健康人(对照组)的血清进行蛋白质组的对比研究。根据差异性蛋白质的质核比(相对分子质量)从SWISS-PROT蛋白质数据库中筛选并确定相关候选蛋白和基因。并通过RT-PCR方法进一步分析这些关键候选基因在食管贲门双源癌组织中表达变化特征。结果:以相对分子质量2.86621×103、5.10330×103、6.59765×103、7.93155×103、9.31196×103和4.11399×103的6种蛋白质组成的决策树模型对双源癌组诊断的准确率、敏感度和特异度分别为78.26%、73.68%和80%。相对分子质量为5.34052×103和5.92132×103的蛋白质查询结果为COX7c及Beta-defensin-1-2-3,在双源癌的食管癌组织和贲门癌组织的阳性率分别为60%(3/5)、60%(3/5)、60%(3/5)和40%(2/5),对照组食管和贲门正常上皮组织均为阴性。结论:以相对分子质量2.86621×103、5.10330×103、6.59765×103、7.93155×103、9.31196×103和4.11399×103的6种蛋白质组成的决策树模型,可作为食管贲门双源癌的蛋白诊断模型,COX7c及Beta-defensin-1-2-3与食管贲门双源癌密切相关,为食管贲门双源癌肿瘤标志筛选提供重要线索。更多还原

【Abstract】 OBJECTIVE:To establish the proteomic model for primary concurrent cancer of the esophagus and gastric cardia from the same patient (CC) and to identify the biomarkers associated with CC through proteomic analysis on serum from CC patients and healthy controls. METHODS: SELDI-TOF-MS methods were applied to serum samples from CC patientss (n=19) and healthy control (n=50). Candidate proteins and genes were detected by SWISS-PROT and RT-PCR. RESULTS: Six tumor markers (2.866 21×103, 5.103 30×103, 6.597 65×103, 7.931 55×103, 9.311 96×103 and 4.113 99×103) were identified to discriminate the patients with CC and healthy control with a veracity, sensitivity and specialty of 78.26%, 73.68% and 80%, respectively. The proteins of 5 340.52Da and 5 921.32Da were identified as COX7c and Beta-defensin-1-2-3. The positive rates were 60%(3/5), 60%(3/5) and 60%(3/5), 40%(2/5) in esophageal carcinoma and gastric cardia adenocarcinoma in CC patients respectively. The positive rates were zero in normal esophageal and gastric cardia tissues in CC patients respectively. CONCLUSION: The diagnosis model with six protein markers of 2.866 21×103, 5.103 30×103, 6.597 65×103, 7.931 55×103, 9.311 96×103 and 4.113 99×103 has a higher sensitivity and specificity for CC. The proteins of COX7c and Beta-defensin-1-2-3 may be related to CC, which provide important clues for identifying tumor markers for CC.更多还原