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胰腺癌多药耐药基因表达谱的基因芯片分析

Microarray analysis of gene expression profile of multidrug resistance in pancreatic cancer.

作者信息

Zhao Yu-pei, Chen Ge, Feng Bin, Zhang Tai-ping, Ma En-ling, Wu Yuan-de

机构信息

Department of General Surgery, Chinese Academy of Medical Sciences and Peking Union Medical College Hospital, Beijing 100730, China.

出版信息

Chin Med J (Engl). 2007 Oct 20;120(20):1743-52.

Abstract

BACKGROUND

Chemotherapy is the most frequently adopted adjuvant therapy of pancreatic ductal adenocarcinoma (PDAC), but the development of drug resistance reduces its effectiveness. Clarification of the mechanism of multidrug resistance (MDR) development in PDAC is needed to improve the therapeutic effect of chemotherapy. This study was aimed to investigate the molecular mechanism of MDR of PDAC and to identify genes associated with MDR development.

METHODS

The gene expression profiles of cell line SW1990 and three drug-selected pancreatic chemoresistant sub-lines, SW1990/5-Fu, SW1990/ADM and SW1990/GEM, were obtained using an oligonucleotide microarray (Affymetrix HG U133 2.0 plus) that contained approximately 38,000 human genes. The microarray results were validated by real-time quantitative polymerase chain reaction and Western blot analysis.

RESULTS

There were 165 genes and expressed sequence tags, some of which have never been linked to drug resistance, that were up- or down-regulated at least 2-fold in all resistant sub-lines when compared with SW1990. According to Gene Ontology annotation, differentially expressed genes related to MDR in pancreatic cancer belong to many functional families and with diverse biological processes. Genes related to antioxidant activity, apoptosis, the cell cycle, signal transduction and intracellular adhesion may undergo epigenetic changes preceding MDR development. A hierarchical clustering was conducted and several interesting clusters were discovered that may be primarily related to cell cycle and developmental regulation. A prediction rule was built from the expression profiles of 117 genes after support vector machine (SVM) analysis, and the prediction result was examined by cytotoxic testing. As a result, a differential gene expression pattern was constructed in multidrug resistant pancreatic cancer cells.

CONCLUSIONS

The findings of this study prove that construction of a chemoresistance prediction rule, based on gene expression patterns, is practical. These data provide new insights into the molecular mechanism of pancreatic cancer MDR development and may be useful for the detection and treatment of MDR in pancreatic cancer patients.

摘要

背景

化疗是胰腺导管腺癌(PDAC)最常采用的辅助治疗方法,但耐药性的产生降低了其疗效。为提高化疗的治疗效果,需要阐明PDAC多药耐药(MDR)发生的机制。本研究旨在探讨PDAC多药耐药的分子机制,并鉴定与MDR发生相关的基因。

方法

使用包含约38000个人类基因的寡核苷酸微阵列(Affymetrix HG U133 2.0 plus)获得细胞系SW1990以及三个药物筛选的胰腺化疗耐药亚系SW1990/5-Fu、SW1990/ADM和SW1990/GEM的基因表达谱。通过实时定量聚合酶链反应和蛋白质免疫印迹分析验证微阵列结果。

结果

与SW1990相比,在所有耐药亚系中至少有165个基因和表达序列标签上调或下调至少2倍,其中一些基因从未与耐药性相关联。根据基因本体注释,胰腺癌中与MDR相关的差异表达基因属于许多功能家族,具有不同的生物学过程。与抗氧化活性、细胞凋亡、细胞周期、信号转导和细胞内黏附相关的基因在MDR发生之前可能发生表观遗传变化。进行了层次聚类,发现了几个可能主要与细胞周期和发育调控相关的有趣聚类。在支持向量机(SVM)分析后,根据117个基因的表达谱建立了预测规则,并通过细胞毒性试验检验预测结果。结果,构建了多药耐药胰腺癌细胞中的差异基因表达模式。

结论

本研究结果证明基于基因表达模式构建化疗耐药预测规则是可行的。这些数据为胰腺癌MDR发生的分子机制提供了新的见解,可能有助于胰腺癌患者MDR的检测和治疗。

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