Li Liang, Fridley Brooke, Kalari Krishna, Jenkins Gregory, Batzler Anthony, Safgren Stephanie, Hildebrandt Michelle, Ames Matthew, Schaid Daniel, Wang Liewei
Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, Minnesota 55905, USA.
Cancer Res. 2008 Sep 1;68(17):7050-8. doi: 10.1158/0008-5472.CAN-08-0405.
Two cytidine analogues, gemcitabine (dFdC) and 1-beta-d-arabinofuranosylcytosine (AraC), show significant therapeutic effect in a variety of cancers. However, response to these drugs varies widely. Evidence from tumor biopsy samples shows that expression levels for genes involved in the cytidine transport, metabolism, and bioactivation pathway contribute to this variation in response. In the present study, we set out to test the hypothesis that variation in gene expression both within and outside of this "pathway" might influence sensitivity to gemcitabine and AraC. Specifically, Affymetrix U133 Plus 2.0 GeneChip and cytotoxicity assays were performed to obtain basal mRNA expression and IC(50) values for both drugs in 197 ethnically defined Human Variation Panel lymphoblastoid cell lines. Genes with a high degree of association with IC(50) values were involved mainly in cell death, cancer, cell cycle, and nucleic acid metabolism pathways. We validated selected significant genes by performing real-time quantitative reverse transcription-PCR and selected two representative candidates, NT5C3 (within the pathway) and FKBP5 (outside of the pathway), for functional validation. Those studies showed that down-regulation of NT5C3 and FKBP5 altered tumor cell sensitivity to both drugs. Our results suggest that cell-based model system studies, when combined with complementary functional characterization, may help to identify biomarkers for response to chemotherapy with these cytidine analogues.
两种胞苷类似物,吉西他滨(dFdC)和1-β-D-阿拉伯呋喃糖基胞嘧啶(AraC),在多种癌症中显示出显著的治疗效果。然而,对这些药物的反应差异很大。肿瘤活检样本的证据表明,参与胞苷转运、代谢和生物活化途径的基因表达水平导致了这种反应差异。在本研究中,我们着手检验这样一个假设,即该“途径”内外的基因表达变化可能会影响对吉西他滨和AraC的敏感性。具体而言,我们使用Affymetrix U133 Plus 2.0基因芯片和细胞毒性试验,来获取197个按种族定义的人类变异组淋巴母细胞系中这两种药物的基础mRNA表达和IC50值。与IC50值高度相关的基因主要涉及细胞死亡、癌症、细胞周期和核酸代谢途径。我们通过实时定量逆转录PCR验证了选定的重要基因,并选择了两个具有代表性的候选基因,NT5C3(在该途径内)和FKBP5(在该途径外)进行功能验证。这些研究表明,NT5C3和FKBP5的下调改变了肿瘤细胞对这两种药物的敏感性。我们的结果表明,基于细胞的模型系统研究,与互补的功能表征相结合,可能有助于识别对这些胞苷类似物化疗反应的生物标志物。