Research article
Gene expression analysis of glioblastomas identifies the major molecular basis for the prognostic benefit of younger age
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* Corresponding author: Stanley F Nelson snelson@ucla.edu
1 Department of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California 90095-7088 USA
2 The Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, Arizona 85013 USA
3 Department of Neurology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California 90095-1769 USA
4 Department of Neurosurgery, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California 90095-6901 USA
5 Department of Biostatistics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California 90095-1772 USA
6 Jonsson Comprehensive Cancer Center, University of California Los Angeles, Los Angeles, California 90095-1781 USA
BMC Medical Genomics 2008, 1:52 doi:10.1186/1755-8794-1-52
Published: 21 October 2008Additional files
Additional file 1:
Tumour sample clinical covariates meta-data. e.g. Time of survival (days), sex, and age where available.
Format: XLS Size: 424KB Download file
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Additional file 2:
Standard protocol recommended by Affymetrix used at UCLA DNA Microarray Facility.
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Additional file 3:
List of Affymetrix probesets used for voting each tumour across each of the Affymetrix platforms.
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Additional file 4:
The full R code used for Kaplan-Meier survival curves, Multivariate/Univariate Cox proportional Hazards models, and correlations between age and gene expression.
Format: DOC Size: 43KB Download file
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