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Gene expression profiles and risk stratification in childhood acute lymphoblastic leukemia | Haematologica

机译:儿童急性淋巴细胞白血病的基因表达谱和危险分层血液学

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BACKGROUND AND OBJECTIVES: Childhood acute lymphoblastic leukemia (ALL) is a heterogeneous disease. There are several distinct genetic subtypes, characterized by typical changes in gene expression pattern. In addition to cytogenetic markers, the in vivo response to treatment is an emerging prognostic marker for risk stratification. However, it has not yet been reported whether gene expression profiles can predict risk group stratification already at the time of diagnosis. DESIGN AND METHODS: We analyzed bone marrow samples of 31 ALL patients to identify changes in gene expression that are associated with the current risk assignment, irrespective of the genetic subtype. Gene expression profiles were established using oligonucleotide microarrays. RESULTS: Considering all low- and high-risk patients, no gene was capable of predicting the risk assignment already at time of diagnosis. However, screening for risk group associated genes using more homogeneous subsets of patients revealed 10(6) discriminatory probe sets. The prognostic significance of these probe sets was subsequently determined for the entire series of patients. Using the selected subgroups as the training set and the remaining samples as an independent test set, logistic regression using 3 predictor variables could accurately predict current risk assignment for 10 out of 12 patients. INTERPRETATION AND CONCLUSIONS: Gene expression profiles established from a cytogenetically heterogeneous study group are not, as yet, sufficiently accurate to be used prognostically in a clinical setting. Additional risk-associated gene expression analyses need to be performed in more homogeneous sets of patients.
机译:背景与目的:儿童急性淋巴细胞白血病(ALL)是一种异质性疾病。有几种不同的遗传亚型,特征在于基因表达模式的典型变化。除细胞遗传学标记外,对治疗的体内反应是风险分层的新兴预后标记。但是,尚未报道基因表达谱是否可以在诊断时预测危险人群分层。设计与方法:我们分析了31例ALL患者的骨髓样本,以识别与当前风险分配相关的基因表达变化,而与遗传亚型无关。使用寡核苷酸微阵列建立基因表达谱。结果:考虑到所有低风险和高风险患者,在诊断时尚无基因能够预测风险分配。但是,使用更多同质的患者亚群筛查风险组相关基因显示出10(6)个有区别的探针集。随后确定了这些探针组对整个系列患者的预后意义。使用选定的亚组作为训练集,其余样本作为独立测试集,使用3个预测变量进行逻辑回归可以准确预测12位患者中10位的当前风险分配。结论和结论:从细胞遗传学异质性研究小组建立的基因表达谱目前还不够准确,无法在临床上用于预后。需要在更均一的患者组中进行其他与风险相关的基因表达分析。

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