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利用cDNA微阵列分析胰腺癌中的基因表达谱。

Analysis of gene expression profiles in pancreatic carcinoma by using cDNA microarray.

作者信息

Yu Xian-Jun, Long Jiang, Fu De-Liang, Zhang Qun-Hua, Ni Quan-Xin

机构信息

Center for Pancreatic Cancer, Department of General Surgery, Huashan Hospital, Fudan University, Shanghai 200040, China.

出版信息

Hepatobiliary Pancreat Dis Int. 2003 Aug;2(3):467-70.

Abstract

OBJECTIVES

To survey the gene expression profiles in pancreatic carcinoma by using cDNA microarray and detect target genes for further study.

METHODS

Three mixed samples from 2 cases of normal pancreatic tissue and 4 cases of moderate-differentiated pancreatic carcinoma were studied by means of cDNA microarray consisting of 18 000 genes.

RESULTS

1484 and 1353 different expressed genes were observed in two cancer samples respectively. We identified 455 genes altered with the same tendency in both samples, including 102 up-regulated and 353 down-regulated genes. There were 274 known genes and 181 unknown genes; 27.8% and 52.0% genes respectively had an expression level in cancer that was 2-fold higher or lower than that in normal samples. Tumor suppressor genes, growth factors and receptor genes, signal conduction genes, transcription factor genes were identified.

CONCLUSIONS

cDNA microarray is an efficient and high-throughout method to investigate gene expression profiles in pancreatic carcinoma. MBD1, EDG1 and gene hypermethylation mechanism would play an important role in the pathogenesis of pancreatic carcinoma.

摘要

目的

利用cDNA微阵列技术检测胰腺癌组织的基因表达谱,寻找有进一步研究价值的靶基因。

方法

应用含18000个基因的cDNA微阵列,对2例正常胰腺组织及4例中分化胰腺癌组织的混合样本进行检测。

结果

在2例癌组织样本中分别发现1484个和1353个差异表达基因。共筛选出455个在2个样本中表达变化趋势一致的基因,其中上调基因102个,下调基因353个;已知基因274个,未知基因181个;分别有27.8%和52.0%的基因在癌组织中的表达水平比正常组织高2倍或低2倍。筛选出了肿瘤抑制基因、生长因子及其受体基因、信号传导基因、转录因子基因等。

结论

cDNA微阵列技术是研究胰腺癌基因表达谱的一种高效、高通量的方法。MBD1、EDG1及基因高甲基化机制在胰腺癌的发生发展中可能起重要作用。

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