Janoueix-Lerosey Isabelle, Schleiermacher Gudrun, Michels Evi, Mosseri Véronique, Ribeiro Agnès, Lequin Delphine, Vermeulen Joëlle, Couturier Jérôme, Peuchmaur Michel, Valent Alexander, Plantaz Dominique, Rubie Hervé, Valteau-Couanet Dominique, Thomas Caroline, Combaret Valérie, Rousseau Raphaël, Eggert Angelika, Michon Jean, Speleman Frank, Delattre Olivier
INSERM U830, Laboratoire de Génétique et Biologie des Cancers, 26 rue d'Ulm, 75248 Paris Cedex 05, France.
J Clin Oncol. 2009 Mar 1;27(7):1026-33. doi: 10.1200/JCO.2008.16.0630. Epub 2009 Jan 26.
For a comprehensive overview of the genetic alterations of neuroblastoma, their association and clinical significance, we conducted a whole-genome DNA copy number analysis.
A series of 493 neuroblastoma (NB) samples was investigated by array-based comparative genomic hybridization in two consecutive steps (224, then 269 patients).
Genomic analysis identified several types of profiles. Tumors presenting exclusively whole-chromosome copy number variations were associated with excellent survival. No disease-related death was observed in this group. In contrast, tumors with any type of segmental chromosome alterations characterized patients with a high risk of relapse. Patients with both numerical and segmental abnormalities clearly shared the higher risk of relapse of segmental-only patients. In a multivariate analysis, taking into account the genomic profile, but also previously described individual genetic and clinical markers with prognostic significance, the presence of segmental alterations with (HR, 7.3; 95% CI, 3.7 to 14.5; P < .001) or without MYCN amplification (HR, 4.5; 95% CI, 2.4 to 8.4; P < .001) was the strongest predictor of relapse; the other significant variables were age older than 18 months (HR, 1.8; 95% CI, 1.2 to 2.8; P = .004) and stage 4 (HR, 1.8; 95% CI, 1.2 to 2.7; P = .005). Finally, within tumors showing segmental alterations, stage 4, age, MYCN amplification, 1p and 11q deletions, and 1q gain were independent predictors of decreased overall survival.
The analysis of the overall genomic pattern, which probably unravels particular genomic instability mechanisms rather than the analysis of individual markers, is essential to predict relapse in NB patients. It adds critical prognostic information to conventional markers and should be included in future treatment stratification.
为全面概述神经母细胞瘤的基因改变、它们之间的关联及临床意义,我们进行了全基因组DNA拷贝数分析。
通过基于芯片的比较基因组杂交技术,分两个连续步骤对一系列493例神经母细胞瘤(NB)样本进行研究(先研究224例,然后研究269例患者)。
基因组分析确定了几种类型的图谱。仅呈现全染色体拷贝数变异的肿瘤与极佳的生存率相关。该组未观察到疾病相关死亡。相比之下,具有任何类型节段性染色体改变的肿瘤表明患者复发风险高。同时存在数量和节段性异常的患者显然具有与仅存在节段性异常患者相同的较高复发风险。在多因素分析中,考虑到基因组图谱,以及先前描述的具有预后意义的个体遗传和临床标志物,存在伴(HR,7.3;95%CI,3.7至14.5;P<.001)或不伴MYCN扩增(HR,4.5;95%CI,2.4至8.4;P<.001)的节段性改变是复发的最强预测因素;其他显著变量为年龄大于18个月(HR,1.8;95%CI,1.2至2.8;P=.004)和4期(HR,1.8;95%CI,1.2至2.7;P=.005)。最后,在显示节段性改变的肿瘤中,4期、年龄、MYCN扩增、1p和11q缺失以及1q增益是总生存期降低的独立预测因素。
对整体基因组模式的分析可能揭示了特定的基因组不稳定机制,而不是对单个标志物的分析,这对于预测NB患者的复发至关重要。它为传统标志物增添了关键的预后信息,应纳入未来的治疗分层中。