贲门癌蛋白质组与病理分化程度的研究

目的：筛选贲门癌相关肿瘤标志。方法：IMAC3芯片及SELDI-TOF技术检测河南省林州市食管／贲门癌高发区47例贲门癌患者（贲门癌组）和50名健康人（对照组）血清标本，并对32例高、中分化腺癌（高分化组）和15例低分化腺癌（低分化组）及健康人（对照组）作了对比分析。结果：以M5908．48、M7943．64和M8938．70蛋白质组成的决策树模型对贲门癌组和对照组进行分析，测试的准确率、敏感度和特异度分别为77．3％、85．1％和70．0％。差异有统计学意义的蛋白中，相对分子质量为4211．29、5334．13、5966．63、5903．14、11735．71、5922．70、7932．54、7758．66、9287．40和6109．99，上调组蛋白质中，9／10相对含量在3组中比较为：对照组〈高分化组〈低分化组；相对分子质量为8992．89、8158．48、8924．27、4495．96、9434．40、5099．02、6661．72、6222．12和6960．60下调组蛋白质中，6／9为：对照组〉低分化组〉高分化组。结论：5908．48、7943．64和8938．70蛋白质组成的决策树模型可以对贲门癌进行诊断，具有较高的敏感度和特异性；上调组蛋白质在血清中的相对含量与分化程度呈负相关，下调组蛋白质与肿瘤的分化程度也明显相关。

Proteomics of gastric cardia adenocarcinoma and pathology differentiated degree

OBJECTIVE:To detect tumor markers of gastric-cardia adenocarcinoma (GCA). METHODS: IMAC-Cu proteinchip array and SELDI-TOF-MS were used to analyze serum samples of 47 GCA patients (GCA group) and 50 healthy people (control group) of Linzhou, the area with the highest incidence of esophageal/gastric cardia carcinoma; 32 patients with differentiated adenocarcinoma (differentiated group), 15 patients with low differentiated adenocarcinoma (low differentiated group) and 50 healthy people (control group) were made analysis. RESULTS: Markers pattern made up by proteins (5908.48, 7943.64, 8938.70) was able to discriminate the GCA group and control group. The veracity, sensitivity and specialty were 77.3%, 85.1% and 70%, respectively. The molecular weight of differences proteins (upregulated proteins) were 4 211.29, 5 334.13, 5 966.63, 5 903.14, 11 735.71, 5 922.70, 7 932.54, 7 758.66, 9 287.40,6 109.99. The contents of 9/10 proteins in control group, differentiated group and low differentiated group has an ascended tendency. The molecular weight of differences proteins (downregulated proteins) were 8 992.89, 8 158.48, 4 495.96, 8 924.27, 9 434.40, 5 099.02, 6 661.72, 6 222.12,6 960.60. The content of 6/9 proteins above in normal group, low differentiated group and differentiated group has a descended tendency. CONCLUSIONS: The markers pattern made up by tumor markers 5 908.48, 7 943.64, 8 938.70 can be used to diagnose GCA, which has high sensitivity and specialty. The relationship of contents in upregulated proteins in different differentiation was negative. The downregulated proteins have a close relationship with differentiation.