慢性髓系白血病对伊马替尼先天耐药的基因表达谱

Giuseppe Cammarata , Luigi Augugliaro , Maria La Rosa , Diamante Turri , Valentina Rizzo , Anna Marfia , Cecilia Agueli , Lea Dagnino , Rosario Giustolisi , Salvatore Mirto , Angelo Elio Mineo , Alessandra Santoro
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引用次数: 4

摘要

经过12个月的治疗,大多数接受伊马替尼作为一线治疗的慢性髓性白血病(CML)患者将获得完全的细胞遗传学和分子反应。然而,一些患者不会表现出分子反应,但其固有的耐药机制仍然知之甚少。我们探讨了与CML先天耐药相关的分子事件。患者和方法利用380个基因的表达谱对5例分子无应答患者和7例主要应答患者进行了研究。采用多重测试程序、微阵列显著性分析、微阵列经验贝叶斯分析、错误发现率和线性核支持向量机进行对比分析。结果与应答者相比,无应答组380个基因中有323个(85%)过表达。经过非常严格的统计分析,确定了26个基因的列表,其中无反应的过度表达具有高度统计学意义。这些基因参与信号转导和转录因子、细胞凋亡、细胞周期和粘附。采用两种不同的统计方法对所提出的基因集的判别能力进行了估计,从而对作为测试样本的每个患者的药物反应做出了正确的预测。结论本研究鉴定出26个与伊马替尼耐药相关的基因,可作为临床预测或治疗靶点。我们认为其中一些特别感兴趣:IGFBP2, CDC37, MAPK3, ETS1和PEA15。表观遗传机制,如全基因组启动子低甲基化,可能是CML先天耐药的基本机制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Gene Expression Profile of Chronic Myeloid Leukemia Innately Resistant to Imatinib

Background

After 12 months of treatment, most patients with chronic myeloid leukemia (CML) who receive imatinib as first-line therapy will have complete cytogenetic and molecular response. However, several patients will not exhibit molecular response, but their innate mechanism(s) of resistance remain poorly understood. We explored the molecular events involved in innate resistance in CML.

Patients and Methods

Five patients who were molecular nonresponders and 7 major responders were investigated by using the expression profile of a set of 380 genes. Multiple testing procedure, Significance Analysis of Microarrays, Empirical Bayes Analysis of Microarrays, False Discovery Rate, and support vector machine with linear kernel were used for comparative analysis.

Results

Three hundred twenty-three of 380 genes (85%) were overexpressed in the nonresponder group compared with the responders. After a very stringent statistical analysis, a list of 26 genes was identified, in which overexpression in nonresponders was highly statistically significant. These genes are involved in signal transduction and transcription factors, apoptosis, cell cycle, and adhesion. Discriminative power of the proposed gene set was estimated by 2 different statistical methods, which yielded a correct prediction of the drug response for each patient used as a test sample.

Conclusion

Our study identified a set of 26 genes involved in resistance to imatinib, which can be used as clinical predictors or therapeutic targets. We consider some of them of particular interest: IGFBP2, CDC37, MAPK3, ETS1, and PEA15. Epigenetic mechanisms, such as genome-wide promoter hypomethylation, might be involved as the basic mechanism for innate resistance in CML.

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