摘要目的 通过结肠癌基因表达谱数据整合分析筛选肿瘤相关基因.方法 基因芯片技术构建的结肠癌基因表达谱与转录组公共数据库SAGE DGED信息相结合,筛选肿瘤相关基因.定量聚合酶链反应(PCR)验证基因差异表达.组织芯片(腺癌22例、腺瘤20例、正常8例)和免疫组织化学技术检测基因蛋白表达.结果 119条基因(上调17条、下调102条)在基因芯片与SAGEDGED中表达变化结果一致.定量PCR检测TGFBI、NME1、IFITM3、FCGBP和TSPAN1基因表达,结果与基因表达谱数据一致.IFITM3蛋白表达在结肠腺瘤(20%,4/20)和腺癌(55%,12/22)中表达较正常结肠组织(0,0/8)明显升高(P<0.05).结论 基因芯片数据和SAGE DGED相结合,可快速、准确筛选结肠癌肿瘤相关基因.

abstractsObjective To screen the tumor-associated genes by integrate analysis of gene expression profiling of colon carcinoma. Methods The tumor-associated genes were screened by analyzing the tanscriptome data of colon cancer constructed by the whole genome cDNA microarray combined with serial analysis of gene expression digital gene expression displayer (SAGE DCED) in public data. The mRNA expression of screened tumor-associated genes was detected by real-time ploymease chains reaction (PCR). The protein expression of screened tumor-associated gene was detected on tissue array (including 22 colon carcinomas, 20 colon adenomas and 8 normal colon tissues) by immunohistochemistry. Results The gene expression levels of 119 differential expression genes screened by DCED had identical results in microarray data. Among them, 17 genes were up-regulated and 102 genes were down-regulated. TGFBI, NME1, IFITM3, FCGBP and TSPAN1 were differential expression genes screened from microarray and SAGE DGED data. The differential expression of these genes was confirmed by real-time PCR in colon cancer. The upregulted expression of IFITM3 protein in colon adenoma (20%,4/20) and carcinoma (55%,12/22) compared with that in normal colon tissue (0, 0/8) was confirmed by immunohistochemistry and tissue array (P<0. 05). Conclusion Integrate analysis of transcriptome profiling using microarray data combined with SAGE libraries provides a feasible protocol for quickly, accurately filtering the tumor-associated genes in colon carcinoma.