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对同基因的耐紫杉醇和耐阿霉素乳腺癌细胞系进行cDNA微阵列分析,揭示了不同药物特异性的耐药基因特征。

cDNA microarray analysis of isogenic paclitaxel- and doxorubicin-resistant breast tumor cell lines reveals distinct drug-specific genetic signatures of resistance.

作者信息

Villeneuve David J, Hembruff Stacey L, Veitch Zachary, Cecchetto Melanie, Dew William A, Parissenti Amadeo M

机构信息

Tumor Biology Research Program, Sudbury Regional Hospital, Sudbury, Ont., Canada.

出版信息

Breast Cancer Res Treat. 2006 Mar;96(1):17-39. doi: 10.1007/s10549-005-9026-6. Epub 2005 Dec 2.

Abstract

cDNA microarray analysis is a highly useful tool for the classification of tumors and for prediction of patient prognosis to specific cancers based on this classification. However, to date, there is little evidence that microarray approaches can be used to reliably predict patient response to specific chemotherapy drugs or regimens. This is likely due to an inability to differentiate between genes affecting patient prognosis and genes that play a role in response to specific drugs. Thus, it would be highly useful to identify genes whose expression correlates with tumor cell sensitivity to specific chemotherapy agents in a drug-specific manner. Using cDNA microarray analysis of wildtype MCF-7 breast tumor cells and isogenic paclitaxel-resistant (MCF-7(TAX)) or doxorubicin-resistant (MCF-7(DOX)) derivative cell lines, we have uncovered drug-specific changes in gene expression that accompany the establishment of paclitaxel or doxorubicin resistance. These changes in gene expression were confirmed by quantitative reverse transcription polymerase chain reaction and immunoblotting experiments, with a confirmation rate of approximately 91-95%. The genes identified may prove highly useful for prediction of response to paclitaxel or doxorubicin in patients with breast cancer. To our knowledge this is the first report of drug-specific genetic signatures of resistance to paclitaxel or doxorubicin, based on a comparison of gene expression between isogenic wildtype and drug-resistant tumor cell lines. Moreover, this study provides significant insight into the wide variety of mechanisms through which resistance to these agents may be acquired in breast cancer.

摘要

cDNA微阵列分析是一种非常有用的工具,可用于肿瘤分类以及基于该分类预测特定癌症患者的预后。然而,迄今为止,几乎没有证据表明微阵列方法可用于可靠地预测患者对特定化疗药物或方案的反应。这可能是由于无法区分影响患者预后的基因和在对特定药物的反应中起作用的基因。因此,以药物特异性方式鉴定其表达与肿瘤细胞对特定化疗药物敏感性相关的基因将非常有用。通过对野生型MCF-7乳腺肿瘤细胞以及同基因的紫杉醇耐药(MCF-7(TAX))或阿霉素耐药(MCF-7(DOX))衍生细胞系进行cDNA微阵列分析,我们发现了在建立紫杉醇或阿霉素耐药性过程中伴随出现的基因表达的药物特异性变化。这些基因表达变化通过定量逆转录聚合酶链反应和免疫印迹实验得到证实,确认率约为91-95%。所鉴定的基因可能对预测乳腺癌患者对紫杉醇或阿霉素的反应非常有用。据我们所知,这是基于同基因野生型和耐药肿瘤细胞系之间基因表达比较的关于紫杉醇或阿霉素耐药性的药物特异性遗传特征的首次报告。此外,本研究为乳腺癌中获得对这些药物耐药性的多种机制提供了重要见解。

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