Etcheverry Amandine, Aubry Marc, Idbaih Ahmed, Vauleon Elodie, Marie Yannick, Menei Philippe, Boniface Rachel, Figarella-Branger Dominique, Karayan-Tapon Lucie, Quillien Veronique, Sanson Marc, de Tayrac Marie, Delattre Jean-Yves, Mosser Jean
CNRS, UMR 6290, Institut Génétique et Développement de Rennes, Rennes, France; Université Rennes 1, Université Européenne de Bretagne, Biosit, Faculté de Médecine, Rennes, France; Centre Hospitalier Universitaire de Rennes, Service de Génétique Moléculaire et Génomique, Rennes, France.
CNRS, UMR 6290, Institut Génétique et Développement de Rennes, Rennes, France; Université Rennes 1, Université Européenne de Bretagne, Biosit, Faculté de Médecine, Rennes, France; Plate-forme Génomique Santé Biogenouest, Biosit, Rennes, France.
PLoS One. 2014 Sep 18;9(9):e104455. doi: 10.1371/journal.pone.0104455. eCollection 2014.
Consistently reported prognostic factors for glioblastoma (GBM) are age, extent of surgery, performance status, IDH1 mutational status, and MGMT promoter methylation status. We aimed to integrate biological and clinical prognostic factors into a nomogram intended to predict the survival time of an individual GBM patient treated with a standard regimen. In a previous study we showed that the methylation status of the DGKI promoter identified patients with MGMT-methylated tumors that responded poorly to the standard regimen. We further evaluated the potential prognostic value of DGKI methylation status.
399 patients with newly diagnosed GBM and treated with a standard regimen were retrospectively included in this study. Survival modelling was performed on two patient populations: intention-to-treat population of all included patients (population 1) and MGMT-methylated patients (population 2). Cox proportional hazard models were fitted to identify the main prognostic factors. A nomogram was developed for population 1. The prognostic value of DGKI promoter methylation status was evaluated on population 1 and population 2.
The nomogram-based stratification of the cohort identified two risk groups (high/low) with significantly different median survival. We validated the prognostic value of DGKI methylation status for MGMT-methylated patients. We also demonstrated that the DGKI methylation status identified 22% of poorly responding patients in the low-risk group defined by the nomogram.
Our results improve the conventional MGMT stratification of GBM patients receiving standard treatment. These results could help the interpretation of published or ongoing clinical trial outcomes and refine patient recruitment in the future.
一直以来,胶质母细胞瘤(GBM)公认的预后因素包括年龄、手术范围、功能状态、异柠檬酸脱氢酶1(IDH1)突变状态以及O6-甲基鸟嘌呤-DNA甲基转移酶(MGMT)启动子甲基化状态。我们旨在将生物学和临床预后因素整合到一个列线图中,以预测接受标准方案治疗的个体GBM患者的生存时间。在之前的一项研究中,我们发现二酰甘油激酶ι(DGKI)启动子的甲基化状态可识别出对标准方案反应不佳的MGMT甲基化肿瘤患者。我们进一步评估了DGKI甲基化状态的潜在预后价值。
本研究回顾性纳入了399例新诊断的GBM患者,这些患者均接受了标准方案治疗。对两个患者群体进行生存建模:所有纳入患者的意向性治疗群体(群体1)和MGMT甲基化患者(群体2)。采用Cox比例风险模型来确定主要预后因素。为群体1制定了一个列线图。在群体1和群体2中评估了DGKI启动子甲基化状态的预后价值。
基于列线图的队列分层确定了两个风险组(高/低),其总生存期中位数有显著差异。我们验证了DGKI甲基化状态对MGMT甲基化患者的预后价值。我们还证明,DGKI甲基化状态在列线图定义的低风险组中识别出了22%反应不佳的患者。
我们的结果改进了接受标准治疗的GBM患者的传统MGMT分层。这些结果有助于解释已发表或正在进行的临床试验结果,并在未来优化患者招募。