Open Access Highly Accessed Research article

Gene expression analysis of glioblastomas identifies the major molecular basis for the prognostic benefit of younger age

Yohan Lee1, Adrienne C Scheck2, Timothy F Cloughesy36, Albert Lai3, Jun Dong5, Haumith K Farooqi, Linda M Liau46, Steve Horvath5, Paul S Mischel6 and Stanley F Nelson16*

Author Affiliations

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

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BMC Medical Genomics 2008, 1:52  doi:10.1186/1755-8794-1-52

Published: 21 October 2008

Additional 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.

Format: XLS Size: 249KB Download file

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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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