EORTC Headquarters, Brussels, Belgium.
Eur J Cancer. 2013 Nov;49(16):3477-85. doi: 10.1016/j.ejca.2013.06.039. Epub 2013 Jul 26.
The prognosis of patients with anaplastic oligodendrogliomas (AOD) and oligoastrocytomas (AOA) is variable. Biomarkers might be helpful to identify more homogeneous disease subtypes and improve therapeutic index. The aim of this study is to develop new clinical, pathological and molecular prognostic models for locally diagnosed anaplastic gliomas with oligodendroglial features (AOD or AOA).
Data from 368 patients with AOD or AOA recruited in The European Organisation for Research and Treatment of Cancer (EORTC) trial 26951 on adjuvant PCV (Procarbazine, CCNU, Vincristine) chemotherapy in anaplastic oligodendroglial tumours were used to develop multifactor models to predict progression free survival (PFS) and overall survival (OS). Different models were compared by their percentage of explained variation (PEV). Prognostic calculators were derived from these new models.
Treatment (for PFS only), younger age, confirmed absence of residual tumour on imaging, frontal location, good World Health Organisation (WHO) performance status, absence of endothelial abnormalities and/or necrosis, 1p/19q codeletion and Isocitrate dehydrogenase 1 (IDH1) mutation were independent factors that predicted better PFS and OS.
We identified important prognostic factors for AOD and AOA and showed that molecular markers added a major contribution to clinical and pathological factors in explaining PFS and OS. With a positive predictive value of 92% for PFS and 94% for OS, our models allow physicians to precisely identify high risk patients and aid in making therapeutic decisions.
间变性少突胶质细胞瘤(AOD)和少突星形细胞瘤(AOA)患者的预后存在差异。生物标志物可能有助于识别更同质的疾病亚型,从而提高治疗指数。本研究旨在为具有少突胶质细胞特征的局部诊断性间变性神经胶质瘤(AOD 或 AOA)建立新的临床、病理和分子预后模型。
我们使用欧洲癌症研究与治疗组织(EORTC)26951 试验中接受辅助 PCV(丙卡巴肼、洛莫司汀、长春新碱)化疗的 368 例 AOD 或 AOA 患者的数据来建立多因素模型,以预测无进展生存期(PFS)和总生存期(OS)。通过解释变异百分比(PEV)比较不同模型。从这些新模型中得出预后计算器。
治疗(仅用于 PFS)、年龄较小、影像学检查确认无残留肿瘤、额叶位置、良好的世界卫生组织(WHO)表现状态、无血管异常和/或坏死、1p/19q 缺失和异柠檬酸脱氢酶 1(IDH1)突变是预测更好的 PFS 和 OS 的独立因素。
我们确定了 AOD 和 AOA 的重要预后因素,并表明分子标志物在解释 PFS 和 OS 方面对临床和病理因素有重要贡献。我们的模型对 PFS 的阳性预测值为 92%,对 OS 的阳性预测值为 94%,可以让医生准确识别高风险患者,并辅助做出治疗决策。