利用蛋白质组学技术筛查乳腺癌患者血清肿瘤标志物

发布时间：2018-05-03 00:06

本文选题：乳腺肿瘤 + 蛋白质组学　；参考：《实用医学杂志》2017年20期

【摘要】：目的通过蛋白质组学技术,筛选乳腺癌患者和健康人血清的差异表达蛋白,以期筛查乳腺癌早期诊断的肿瘤标志物。方法收集乳腺癌患者血清10例、健康人血清各10例,采用双向电泳(2-DE)技术分离蛋白,通过PDQuest软件筛选乳腺癌和健康人血清表达差异的蛋白样点,进一步质谱分析鉴定。结果初步建立人乳腺癌、健康人血清双向电泳图谱,PDQuest软件分析2-DE电泳结果,检测出22个差异蛋白点,以健康人组为参照,乳腺癌组上调有18个蛋白样点,下调有4个。从22个差异点中筛选其中12个差异蛋白样点进行取样、胶内酶切、质谱鉴定,成功鉴定4个表达差异的蛋白点,通过数据库检索最终确定上述蛋白点对应的蛋白质分别为锚蛋白-3亚型X7(ankyrin-3 isoform X7)、keratin,type I cyto-skeletal 9、核膜血影重复蛋白2亚型X11(nesprin-2 isoform X11)、Dynein heavy chain 10,axonemal iso-form X9。结论健康人组和乳腺癌组筛选出的差异蛋白质可能成为乳腺癌的早期诊断标志物。
[Abstract]:Objective to screen differentially expressed proteins in serum of breast cancer patients and healthy people by proteomics, and to screen tumor markers for early diagnosis of breast cancer. Methods Serum samples of 10 breast cancer patients and 10 healthy individuals were isolated by two-dimensional electrophoresis (2-DED) technique. The protein samples of the difference between breast cancer and healthy serum were screened by PDQuest software and identified by mass spectrometry. Results Human breast cancer was preliminarily established. The results of 2-DE electrophoresis were analyzed by 2-DE software. 22 differentially expressed protein spots were detected. Compared with healthy controls, 18 protein samples were up-regulated and 4 were down-regulated in breast cancer group. 12 of the 22 differentially expressed protein spots were selected for sampling, endonuclease digestion and mass spectrometry, and 4 differentially expressed protein spots were successfully identified. The corresponding proteins were identified as anchor protein 3 subtype X7(ankyrin-3 isoform X7 keratinine type I cyto-skeletal 9 and nuclear membrane repeat protein 2 subtype X11(nesprin-2 isoform X11 dynein heavy chain 10 axonemal iso-form X9 by database retrieval. Conclusion the differential proteins screened from healthy and breast cancer groups may be the early diagnostic markers of breast cancer.
【作者单位】：西南医科大学基础医学院生物化学与分子生物学教研室;西南医科大学基础医学院医学基础研究中心;
【基金】：四川省科技厅-泸州市政府-泸州医学院联合课题(编号:14JC0155) 泸州市科技局项目[编号:2012-S-36(3/14)]
【分类号】：R737.9

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