Data Name | Published Year | Array Platform | Sample Size |
GEO Accession ID | Freije | 2004 | HG-U133A,B |
85 | GSE4412 | Phillips | 2006 |
HG-U133A,B | 100 | GSE4271 | Sun |
2006 | HG-U133 Plus 2 | 100 | GSE4290 |
Yamanaka | 2006 | Agilent | 29 |
GSE4381 | Petalidis | 2008 | HG-U133A |
58 | GSE1993 | Gravendeel | 2009 |
HG-U133 Plus 2 | 175 | GSE16011 | Sun |
2010 | HG-U133 Plus 2 | 42 | GSE19578 |
brain
Phillips H, Kharbanda S, Chen R, Forrest W, Soriano R, et al. (2006) Molecular subclasses of high-grade glioma predict prognosis, delineate a pattern of disease progression, and resemble stages in neurogenesis. Cancer Cell 9: 157-173.
Sun L, Hui A, Su Q, Vortmeyer A, Kotliarov Y, et al. (2006) Neuronal and glioma-derived stem cell factor induces angiogenesis within the brain. Cancer cell 9: 287-300.
Yamanaka R, Arao T, Yajima N, Tsuchiya N, Homma J, et al. (2006) Identification of expressed genes characterizing long-term survival in malignant glioma patients. Oncogene 25: 5994-6002.
Petalidis L, Oulas A, Backlund M, Wayland M, Liu L, et al. (2008) Improved grading and survival prediction of human astrocytic brain tumors by artificial neural network analysis of gene expression microarray data. Molecular cancer therapeutics 7: 1013.
Gravendeel L, Kouwenhoven M, Gevaert O, de Rooi J, Stubbs A, et al. (2009) Intrinsic gene expression profiles of gliomas are a better predictor of survival than histology. Cancer research 69: 9065.
Paugh B, Qu C, Jones C, Liu Z, Adamowicz-Brice M, et al. (2010) Integrated molecular genetic profiling of pediatric high-grade gliomas reveals key differences with the adult disease. Journal of Clinical Oncology 28: 3061.