贲门癌蛋白质组与病理分化程度的研究

Proteomics of gastric cardia adenocarcinoma and pathology differentiated degree

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。

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, differen- tiated 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.