Identification of proteins associated with oral cancer by global proteomic approach.

蛋白质组学技术为快速筛选恶性细胞中大量潜在的生物标志物提供了极好的工具。为了深入了解癌变的分子机制，并确定口腔癌的潜在生物标志物，我们进行了蛋白质组分析，口腔癌和正常口腔粘膜之间使用荧光双向凝胶电泳差异。认为表达变化[大于或等于]2倍的蛋白质具有显著性。酶切目标点，并通过基质辅助激光解吸/电离飞行时间肽质量指纹图谱进行鉴定。蛋白质组学分析结果经Western blotting、免疫组化染色、芯片分析和真实的实时RT-PCR方法证实，共鉴定出22个蛋白质在口腔癌组织和正常口腔黏膜组织中差异表达。与正常口腔粘膜相比，其中9个点在口腔癌中上调，13个点下调。这些斑点包括癌症相关蛋白;膜联蛋白A1，热休克蛋白27，核纤层蛋白A/C，白细胞介素1受体拮抗剂，丝氨酸蛋白酶抑制剂分支B5，stathmin 1，超氧化物歧化酶2。特别是maspin和stathmin被认为是肿瘤发生的有用生物标志物。

Proteomic technologies provide excellent tools for rapid screening of a large number of potential biomarkers in malignant cells. To gain insight into the molecular mechanisms of carcinogenesis and to identify potential biomarkers for oral cancer, we performed proteomic profiling between oral cancer and normal oral mucosa using fluorescent two-dimensional difference in-gel electrophoresis. Proteins with a 【greater than or equal】2-fold change in expression were considered significant. The spots of interest were digested and identified by matrix-assisted laser desorption/ionization time-of-flight peptide mass finger-printing. These results of proteomic analysis were confirmed by Western blotting, immunohistochemical staining, microarray analysis, and real time RT-PCR method.Twenty-two proteins were identified as differentially expressed between oral cancer and normal oral mucosa. Of these, 9 spots were up-regulated and 13 were down-regulated in oral cancer compared to Normal oral mucosa. These spots included the cancer-related proteins ; annexin A1, heat shock protein 27, lamin A/C, interleukin 1 receptor antagonist, serine proteinase inhibitor clade B5, stathmin 1, superoxide dismutase 2. Especially, maspin and stathmin were suggested to be useful biomarkers for oncogenesis.