A hypermethylated phenotype is a better predictor of survival than MGMT methylation in anaplastic oligodendroglial brain tumors: a report from EORTC study 26951
- PMID: 21914791
- DOI: 10.1158/1078-0432.CCR-11-1274
A hypermethylated phenotype is a better predictor of survival than MGMT methylation in anaplastic oligodendroglial brain tumors: a report from EORTC study 26951
Abstract
Purpose: The MGMT promoter methylation status has been suggested to be predictive for outcome to temozolomide chemotherapy in patients with glioblastoma (GBM). Subsequent studies indicated that MGMT promoter methylation is a prognostic marker even in patients treated with radiotherapy alone, both in GBMs and in grade III gliomas.
Experimental design: To help determine the molecular mechanism behind this prognostic effect, we have conducted genome-wide methylation profiling and determined the MGMT promoter methylation status, 1p19q LOH, IDH1 mutation status, and expression profile on a series of oligodendroglial tumors [anaplastic oligodendrogliomas (AOD) and anaplastic oligoastrocytomas (AOA)] within EORTC study 26951. The series was expanded with tumors of the same histology and treatment from our own archive.
Results: Methylation profiling identified two main subgroups of oligodendroglial brain tumors of which survival in the CpG island hypermethylation phenotype (CIMP(+)) subgroup was markedly better than the survival of the unmethylated (CIMP(-)) subgroup (5.62 vs. 1.24 years; P < 0.0001). CIMP status correlated with survival, MGMT promoter methylation, 1p19q LOH, and IDH1 mutation status. CIMP status strongly increases the predictive accuracy of survival in a model including known clinical prognostic factors such as age and performance score. We validated our results on an independent data set from the Cancer Genome Atlas (TCGA).
Conclusion: The strong association between CIMP status and MGMT promoter methylation suggests that the MGMT promoter methylation status is part of a more general, prognostically favorable genome-wide methylation profile. Methylation profiling therefore may help identify AODs and AOAs with improved prognosis.
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- 2U10CA11488-25/CA/NCI NIH HHS/United States
- 2U10CA11488-26/CA/NCI NIH HHS/United States
- 2U10CA11488-27/CA/NCI NIH HHS/United States
- 2U10CA11488-28/CA/NCI NIH HHS/United States
- 2U10CA11488-29/CA/NCI NIH HHS/United States
- 2U10CA11488-30/CA/NCI NIH HHS/United States
- 2U10CA11488-31/CA/NCI NIH HHS/United States
- 2U10CA11488-32/CA/NCI NIH HHS/United States
- 2U10CA11488-33/CA/NCI NIH HHS/United States
- 2U10CA11488-34/CA/NCI NIH HHS/United States
- 2U10CA11488-35/CA/NCI NIH HHS/United States
- 2U10CA11488-36/CA/NCI NIH HHS/United States
- 2U10CA11488-37/CA/NCI NIH HHS/United States
- 2U10CA11488-38/CA/NCI NIH HHS/United States
- 2U10CA11488-39/CA/NCI NIH HHS/United States
- 2U10CA11488-40/CA/NCI NIH HHS/United States
- 2U10CA11488-41/CA/NCI NIH HHS/United States
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