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Joint NCCTG and NABTC prognostic factors analysis for high-grade recurrent glioma

机译:NCCTG和NABTC联合对高级别复发性神经胶质瘤的预后因素分析

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摘要

The purpose of this study is to determine prognostic factors in patients with high-grade recurrent glioma for 3 outcome variables (overall survival, progression-free survival [PFS], and PFS rate 6 months after study registration [PFS6]). Data from 15 North Central Cancer Treatment Group (NCCTG) trials (n = 469, 1980–2004) and 12 North American Brain Tumor Consortium (NABTC) trials (n = 596, 1998–2002) were included. Eighteen prognostic variables were considered including type of treatment center (community/academic) and initial low-grade histology (yes/no). Recursive partitioning analysis (RPA), Cox proportional hazards, and logistic regression models with bootstrap resampling were used to identify prognostic variables. Longer survival was associated with last known grade (Grade) of III, younger age, ECOG performance score (PS) of 0, shorter time from initial diagnosis (DxTime), and no baseline steroid use. Factors associated with longer PFS were Grade III and shorter DxTime. For patients without temozolomide as part of the treatment regimen, the only factor associated with better PFS6 was Grade III, although DxTime was important in RPA and PS was important in logistic regression. Grade was the most important prognostic factor for all three endpoints regardless of the statistical method used. Other important variables for one or more endpoints included age, PS, and DxTime. Neither type of treatment center nor initial low-grade histology was identified as a major predictor for any endpoint.
机译:这项研究的目的是确定3种结果变量(总生存期,无进展生存期[PFS]和研究注册后6个月的PFS率[PFS6]),以评估高级别复发性神经胶质瘤患者的预后因素。包括来自15个北部中央癌症治疗组(NCCTG)试验(n = 469,1980-2004)和12个北美脑肿瘤联合会(NABTC)试验(n = 596,1998-2002)的数据。考虑了18个预后变量,包括治疗中心的类型(社区/学术界)和最初的低度组织学(是/否)。递归分区分析(RPA),Cox比例风险和具有自举重采样的逻辑回归模型用于确定预后变量。更长的生存期与III的最新已知等级(Grade),年龄较小,ECOG成绩得分(PS)为0,距初始诊断的时间较短(DxTime)以及未使用基线类固醇有关。与PFS较长有关的因素是III级和DxTime较短。对于没有替莫唑胺作为治疗方案一部分的患者,与PFS6更好相关的唯一因素是III级,尽管DxTime在RPA中很重要,而PS在logistic回归中很重要。等级是所有三个终点的最重要的预后因素,无论使用何种统计学方法。一个或多个端点的其他重要变量包括年龄,PS和DxTime。治疗中心的类型和最初的低级别组织学都没有被确定为任何终点的主要预测指标。

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