Cancer Research · 2006 · 218 citations · 39 references
MedicineMolecular BiologyOncologyMolecular OncologyNeuro-oncologyTumor HeterogeneityBrain TumorsCancer TranscriptomicsGlioblastomaMolecular Classification Of TumorsMolecular Tumor ProfilingTumor ClassificationGlial Tumor GeneticsGlioblastoma InvasionGlioblastoma Molecular PathwaysGlioblastoma Molecular SubtypesGlioblastoma PathologyGlioblastoma Tumor BiologyMalignant ProgressionStromal Response
Glioblastomas are invasive and aggressive tumors of the brain, generally considered to arise from glial cells. A subset of these cancers develops from lower-grade gliomas and can thus be clinically classified as "secondary," whereas some glioblastomas occur with no prior evidence of a lower-grade tumor and can be clinically classified as "primary." Substantial genetic differences between these groups of glioblastomas have been identified previously. We used large-scale expression analyses to identify glioblastoma-associated genes (GAG) that are associated with a more malignant phenotype via comparison with lower-grade astrocytomas. We have further defined gene expression differences that distinguish primary and secondary glioblastomas. GAGs distinct to primary or secondary tumors provided information on the heterogeneous properties and apparently distinct oncogenic mechanisms of these tumors. Secondary GAGs primarily include mitotic cell cycle components, suggesting the loss of function in prominent cell cycle regulators, whereas primary GAGs highlight genes typical of a stromal response, suggesting the importance of extracellular signaling. Immunohistochemical staining of glioblastoma tissue arrays confirmed expression differences. These data highlight that the development of gene pathway-targeted therapies may need to be specifically tailored to each subtype of glioblastoma.
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Bert Vogelstein, David P. Lane, Arnold J. Levine · Nature · 2000 · 6.6K citations
Gene Expression Profiling of Gliomas Strongly Predicts Survival
William A. Freije, F. Edmundo Castro-Vargas, Zixing Fang et al. · Cancer Research · 2004 · 740 citations · Full text