Prognostic Factors for Survival in Adult Patients With Cerebral Low-Grade Glioma

医学 多元分析 胶质瘤 星形细胞瘤 内科学 比例危险模型 肿瘤科 放射治疗 毛细胞星形细胞瘤 临床试验 癌症 预后变量 生存分析 外科 癌症研究
作者
Francesco Pignatti,Martin J. van den Bent,Desmond Curran,Channa Debruyne,Richard Sylvester,Patrick Therasse,D Afra,Philippe Cornu,M. Bolla,Charles J. Vecht,Abul B.M.F. Karim
出处
期刊:Journal of Clinical Oncology [American Society of Clinical Oncology]
卷期号:20 (8): 2076-2084 被引量:901
标识
DOI:10.1200/jco.2002.08.121
摘要

PURPOSE: To identify prognostic factors for survival in adult patients with cerebral low-grade glioma (LGG), to derive a prognostic scoring system, and to validate results using an independent data set. PATIENTS AND METHODS: European Organization for Research and Treatment of Cancer (EORTC) trial 22844 and EORTC trial 22845 are the largest phase III trials ever carried out in adult patients with LGG. The trials were designed to investigate the dosage and timing of postoperative radiotherapy in LGG. Cox analysis was performed on 322 patients from EORTC trial 22844 (construction set), and the results were validated on 288 patients from trial 22845 (validation set). Patients with pilocytic astrocytomas were excluded from this prognostic factor analysis. RESULTS: Multivariate analysis on the construction set showed that age ≥ 40 years, astrocytoma histology subtype, largest diameter of the tumor ≥ 6 cm, tumor crossing the midline, and presence of neurologic deficit before surgery were unfavorable prognostic factors for survival. The total number of unfavorable factors present can be used to determine the prognostic score. Presence of up to two of these factors identifies the low-risk group, whereas a higher score identifies high-risk patients. The validity of the multivariate model and of the scoring system was confirmed in the validation set. CONCLUSION: In adult patients with LGG, older age, astrocytoma histology, presence of neurologic deficits before surgery, largest tumor diameter, and tumor crossing the midline were important prognostic factors for survival. These factors can be used to identify low-risk and high-risk patients.

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