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The Somatic Genomic Landscape of Glioblastoma
Molecular subclasses of high-grade glioma predict prognosis, delineate a pattern of disease progression, and resemble stages in neurogenesis.
Identification of a CpG island methylator phenotype that defines a distinct subgroup of glioma.
Comprehensive genomic characterization defines human glioblastoma genes and core pathways
The interim integrative analysis of DNA copy number, gene expression and DNA methylation aberrations in 206 glioblastomas reveals a link between MGMT promoter methylation and a hypermutator phenotype consequent to mismatch repair deficiency in treated gliobeasts, demonstrating that it can rapidly expand knowledge of the molecular basis of cancer.
Hotspot mutations in H3F3A and IDH1 define distinct epigenetic and biological subgroups of glioblastoma.
Comprehensive, Integrative Genomic Analysis of Diffuse Lower-Grade Gliomas.
The integration of genomewide data from multiple platforms delineated three molecular classes of lower-grade gliomas that were more concordant with IDH, 1p/19q, and TP53 status than with histologic class.
A randomized trial of bevacizumab for newly diagnosed glioblastoma.
First-line use of bevacizumab did not improve overall survival in patients with newly diagnosed glioblastoma, and progression-free survival was prolonged but did not reach the prespecified improvement target.
Molecular Profiling Reveals Biologically Discrete Subsets and Pathways of Progression in Diffuse Glioma
Mesenchymal differentiation mediated by NF-κB promotes radiation resistance in glioblastoma.