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Proteomics-based identification of a group of apoptosis-related proteins and biomarkers in gastric cancer

机译:基于蛋白质组学的胃癌中一组凋亡相关蛋白和生物标志物的鉴定

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摘要

Gastric cancer (GC) is the one of the most common types of cancer in Asia. To better understand the molecular mechanisms underlying GC, and to seek new markers of tumor progression, we used a proteomics strategy to analyze the protein expression patterns in matched pairs of GC tissue and normal gastric mucosa of 8 GC patients. Comparative proteomic analysis, using two-dimensional gel electrophoresis (2-DE) and matrix-assisted laser-desorption ionization time-of-flight mass spectrometry (MALDI-TOF-MS), revealed that 32 protein spots showed a >2-fold difference in intensity between tumor and normal tissues. Twenty-six proteins were up-regulated and 6 proteins were down-regulated in tumor tissue compared to control. Western blot analysis confirmed differential expression for 9 proteins, including AGR2, ENO1, GDI2, GRP78, GRP94, PPIA, PRDX1, PTEN and VDAC1. Immunohistochemical staining of a tissue microarray, derived from 145 GC patients, with antibodies for each of the 9 proteins demonstrated a significant association between the level of protein immunostaining and the clinical features of the disease in the donor. The identified proteins were functionally classified using bioinformatics methods, showing that the 9 proteins identified were related to BCL2, BAX, ERBB2 and CASP3 proteins and involved in the process of apoptosis. These proteomic data provide potentially valuable insights into both the biology of GC and the identity of biomarkers for tumor progression. We propose ENO1, GRP78, GRP94, PPIA, PRDX1 and PTEN as potential GC biomarkers.
机译:胃癌(GC)是亚洲最常见的癌症之一。为了更好地了解GC的分子机制,并寻找新的肿瘤进展标志物,我们使用了蛋白质组学策略来分析8对GC患者与配对的GC组织和正常胃黏膜中蛋白质的表达模式。使用二维凝胶电泳(2-DE)和基质辅助激光解吸电离飞行时间质谱(MALDI-TOF-MS)进行的比较蛋白质组学分析显示,32个蛋白质点的差异大于2倍在肿瘤和正常组织之间的强度。与对照相比,在肿瘤组织中有26种蛋白被上调,而6种蛋白被下调。蛋白质印迹分析证实了9种蛋白质的差异表达,包括AGR2,ENO1,GDI2,GRP78,GRP94,PPIA,PRDX1,PTEN和VDAC1。对来自145名GC患者的组织微阵列进行免疫组织化学染色,用9种蛋白质中的每一种进行抗体染色,结果表明蛋白质免疫染色水平与供体疾病的临床特征之间存在显着关联。使用生物信息学方法对鉴定出的蛋白质进行功能分类,显示鉴定出的9种蛋白质与BCL2,BAX,ERBB2和CASP3蛋白质有关,并参与凋亡过程。这些蛋白质组学数据为GC生物学和肿瘤进展生物标志物的鉴定提供了潜在的有价值的见解。我们提出ENO1,GRP78,GRP94,PPIA,PRDX1和PTEN作为潜在的GC生物标志物。

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