Radmacher Michael D, Marcucci Guido, Ruppert Amy S, Mrózek Krzysztof, Whitman Susan P, Vardiman James W, Paschka Peter, Vukosavljevic Tamara, Baldus Claudia D, Kolitz Jonathan E, Caligiuri Michael A, Larson Richard A, Bloomfield Clara D
Division of Hematology and Oncology, Department of Internal Medicine, Comprehensive Cancer Center, The Ohio State University, Suite A455 Starling-Loving Hall, 320 West Tenth Ave, Columbus, OH 43210, USA.
Blood. 2006 Sep 1;108(5):1677-83. doi: 10.1182/blood-2006-02-005538. Epub 2006 May 2.
Patients with acute myeloid leukemia (AML) and normal karyotype are classified in an intermediate-risk group, albeit this subset is heterogeneous for clinical outcome. A recent complementary DNA microarray study identified a gene-expression signature that--when used to cluster normal karyotype patients--separated them into 2 prognostically relevant subgroups. We sought the first independent validation of the prognostic value of this signature. Using oligonucleotide microarrays to measure gene expression in samples from uniformly treated adults with karyotypically normal AML, we performed cluster analysis based on the previously identified signature. We also developed a well-defined classification rule using the signature to predict outcome for individual patients. Cluster analysis confirmed the prognostic utility of the signature: patient clusters differed in overall (P = .001) and disease-free (P = .001) survival. The signature-based classifier identified groups with differences in overall (P = .02) and disease-free (P = .05) survival. A strong association of the outcome classifier with the prognostically adverse FLT3 internal tandem duplication (FLT3 ITD) potentially explained the prognostic significance of the signature. However, in the subgroup of patients without FLT3 ITD there was a moderate difference in survival for the classifier-derived groups. Our analysis confirms the applicability of the gene-expression profiling strategy for outcome prediction in cytogenetically normal AML.
急性髓系白血病(AML)且核型正常的患者被归类为中危组,尽管该亚组患者的临床结局存在异质性。最近一项互补DNA微阵列研究确定了一种基因表达特征——当用于对核型正常的患者进行聚类时——可将他们分为两个与预后相关的亚组。我们寻求对该特征的预后价值进行首次独立验证。我们使用寡核苷酸微阵列来测量来自接受统一治疗的核型正常的成年AML患者样本中的基因表达,基于先前确定的特征进行聚类分析。我们还制定了一个明确的分类规则,使用该特征来预测个体患者的预后。聚类分析证实了该特征的预后效用:患者聚类在总生存期(P = .001)和无病生存期((P = .001)方面存在差异。基于该特征的分类器识别出在总生存期(P = .02)和无病生存期(P = .05)方面存在差异的组。结局分类器与预后不良的FLT3内部串联重复(FLT3 ITD)之间的强关联可能解释了该特征的预后意义。然而,在没有FLT3 ITD的患者亚组中,分类器衍生组的生存期存在适度差异。我们的分析证实了基因表达谱分析策略在细胞遗传学正常的AML预后预测中的适用性。