Wolfson Childhood Cancer Research Centre, Northern Institute for Cancer Research, Newcastle University, Newcastle, United Kingdom.
Hematology-Oncology Department, Hospital de Pediatría "Prof. Dr. J. P. Garrahan," Buenos Aires, Argentina.
Blood Adv. 2019 Jan 22;3(2):148-157. doi: 10.1182/bloodadvances.2018025718.
Genetic abnormalities provide vital diagnostic and prognostic information in pediatric acute lymphoblastic leukemia (ALL) and are increasingly used to assign patients to risk groups. We recently proposed a novel classifier based on the copy-number alteration (CNA) profile of the 8 most commonly deleted genes in B-cell precursor ALL. This classifier defined 3 CNA subgroups in consecutive UK trials and was able to discriminate patients with intermediate-risk cytogenetics. In this study, we sought to validate the United Kingdom ALL (UKALL)-CNA classifier and reevaluate the interaction with cytogenetic risk groups using individual patient data from 3239 cases collected from 12 groups within the International BFM Study Group. The classifier was validated and defined 3 risk groups with distinct event-free survival (EFS) rates: good (88%), intermediate (76%), and poor (68%) ( < .001). There was no evidence of heterogeneity, even within trials that used minimal residual disease to guide therapy. By integrating CNA and cytogenetic data, we replicated our original key observation that patients with intermediate-risk cytogenetics can be stratified into 2 prognostic subgroups. Group A had an EFS rate of 86% (similar to patients with good-risk cytogenetics), while group B patients had a significantly inferior rate (73%, < .001). Finally, we revised the overall genetic classification by defining 4 risk groups with distinct EFS rates: very good (91%), good (81%), intermediate (73%), and poor (54%), < .001. In conclusion, the UKALL-CNA classifier is a robust prognostic tool that can be deployed in different trial settings and used to refine established cytogenetic risk groups.
遗传异常为儿科急性淋巴细胞白血病(ALL)提供了重要的诊断和预后信息,并越来越多地用于将患者分配到风险组。我们最近提出了一种基于 B 细胞前体 ALL 中最常缺失的 8 个基因的拷贝数改变(CNA)谱的新型分类器。该分类器在连续的英国试验中定义了 3 个 CNA 亚组,能够区分具有中等细胞遗传学风险的患者。在这项研究中,我们试图验证英国 ALL(UKALL)-CNA 分类器,并使用来自国际 BFM 研究组 12 个组的 3239 例患者的个体患者数据重新评估与细胞遗传学风险组的相互作用。该分类器得到了验证,并定义了 3 个具有不同无事件生存(EFS)率的风险组:良好(88%)、中等(76%)和差(68%)( <.001)。即使在使用微小残留病指导治疗的试验中,也没有证据表明存在异质性。通过整合 CNA 和细胞遗传学数据,我们复制了我们最初的关键观察结果,即具有中等细胞遗传学风险的患者可以分为 2 个预后亚组。组 A 的 EFS 率为 86%(与具有良好细胞遗传学风险的患者相似),而组 B 患者的 EFS 率显著较低(73%, <.001)。最后,我们通过定义具有不同 EFS 率的 4 个风险组来修订总体遗传分类:极好(91%)、良好(81%)、中等(73%)和差(54%)( <.001)。总之,UKALL-CNA 分类器是一种稳健的预后工具,可以在不同的试验环境中部署,并用于细化已建立的细胞遗传学风险组。