Intrinsic Gene Expression Profiles of Gliomas Are a Better Predictor of Survival than Histology

摘要: Gliomas are the most common primary brain tumors with heterogeneous morphology and variable prognosis. Treatment decisions in patients rely mainly on histologic classification clinical parameters. However, differences between subclasses grades subtle, classifying gliomas is subject to a large interobserver variability. To improve current standards, we have performed gene expression profiling cohort of glioma samples all subtypes grades. We identified seven distinct molecular subgroups that correlate survival. These include two favorable prognostic (median survival, >4.7 years), intermediate prognosis 1-4 poor <1 year), one control group. The intrinsic different from better patient value was validated five independent sample cohorts (The Cancer Genome Atlas, Repository for Molecular Brain Neoplasia Data, GSE12907, GSE4271, Li colleagues). power subtyping shown by its ability identify subset prognostically within an external data set contains only histologically confirmed glioblastomas (GBM). Specific genetic changes (epidermal growth factor receptor amplification, IDH1 mutation, 1p/19q loss heterozygosity) segregate subgroups. subgroup features associated secondary GBM, suggesting drive profiles. Finally, assessed response treatment Our provide compelling evidence more accurate objective method classify than classification. therefore may aid diagnosis can guide decision making.