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Re-irradiation or re-operation followed by dendritic cell vaccination? Comparison of two different salvage strategies for relapsed high-grade gliomas by means of a new prognostic model

机译:重新照射或再次手术,然后接种树突状细胞疫苗?通过新的预后模型比较两种不同的挽救策略治疗复发性高级别神经胶质瘤

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We aimed to compare two different salvage treatment strategies for relapsed high-grade glioma (HGG) patients by means of a new prognostic model. A simplified version of the so-called HGG-Immuno RPA model estimates the prognosis of relapsed HGG patients and distinguishes three different prognostic classes (I = good, II = intermediate, III = poor). The model has been constructed with a cohort of 117 patients whose salvage treatment consisted of re-operation followed by dendritic cell vaccination (ReOP + DCV). However, using only the predictors histology, age and performance status, the simplified HGG-Immuno RPA model is basically independent from treatment. In the present study we applied the simplified model to the cohort used to construct the original HGG-Immuno RPA model and another cohort of 165 patients who underwent re-irradiation (ReRT) at relapse. Then, we compared the outcomes achieved by the two different salvage treatments in each prognostic class. The model predicted good, intermediate and poor prognosis for 11, 31 and 75 patients of the ReOP + DCV cohort and for 20, 39 and 106 patients of the ReRT cohort, respectively. Neither of the two strategies was superior to the other. In the groups with good, intermediate and poor prognosis 12-months survival rates were 73, 59 and 25 % after ReOP + DCV and 72, 36 and 23 % after ReRT, respectively. Being easy to handle and independent from treatment, the aforementioned model is useful for therapeutic decisions. ReRT and ReOP + DVC seem to be equally effective. The choice of salvage treatment should be based on the expected side effects.
机译:我们旨在通过一种新的预后模型比较复发性高级别胶质瘤(HGG)患者的两种不同的挽救治疗策略。所谓的HGG-Immuno RPA模型的简化版本估计了HGG复发患者的预后,并区分了三种不同的预后类别(I =好,II =中,III =差)。该模型由117名患者组成,其挽救治疗包括再次手术和树突状细胞疫苗接种(ReOP + DCV)。但是,仅使用预测变量的组织学,年龄和表现状态,简化的HGG-Immuno RPA模型基本上与治疗无关。在本研究中,我们将简化模型应用于构建原始HGG-Immuno RPA模型的队列以及另一组165名在复发时接受再照射(ReRT)的患者。然后,我们比较了每种预后类别中两种不同的挽救疗法所获得的结果。该模型分别预测ReOP + DCV队列的11、31和75例患者以及ReRT队列的20、39和106例患者的良好,中度和不良预后。两种策略均未优于另一种。在预后良好,中级和不良的组中,ReOP + DCV后12个月的生存率分别为73%,59%和25%,ReRT后分别为72%,36%和23%。前述模型易于处理且独立于治疗,可用于治疗决策。 ReRT和ReOP + DVC似乎同样有效。挽救治疗的选择应基于预期的副作用。

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