DataSet Record GDS1815: Expression Profiles Data Analysis Tools Sample Subsets
Title: High-grade gliomas (HG-U133A)
Cluster AnalysisGDS1815 Cluster Image
Download
Summary: Analysis of high-grade glioma (HGGs) samples from cases of WHO grade III and IV astrocytomas. Results classify HGGs into molecular subclasses with prognostic value that predict survival and disease progression. The molecular subclasses resemble key stages of neurogenesis.
Organism: Homo sapiens
Platform: GPL96: [HG-U133A] Affymetrix Human Genome U133A Array
Citations:
  • Phillips HS, Kharbanda S, Chen R, Forrest WF et al. Molecular subclasses of high-grade glioma predict prognosis, delineate a pattern of disease progression, and resemble stages in neurogenesis. Cancer Cell 2006 Mar;9(3):157-73. PMID: 16530701
  • Costa BM, Smith JS, Chen Y, Chen J et al. Reversing HOXA9 oncogene activation by PI3K inhibition: epigenetic mechanism and prognostic significance in human glioblastoma. Cancer Res 2010 Jan 15;70(2):453-62. PMID: 20068170
  • Lin K, Taylor JR Jr, Wu TD, Gutierrez J et al. TMEFF2 is a PDGF-AA binding protein with methylation-associated gene silencing in multiple cancer types including glioma. PLoS One 2011 Apr 29;6(4):e18608. PMID: 21559523
Reference Series: GSE4271 Sample count: 100
Value type: count Series published: 2006/03/15