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Open AccessHighly AccessResearch article

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

Yohan Lee1 email, Adrienne C Scheck2 email, Timothy F Cloughesy3,6 email, Albert Lai3 email, Jun Dong5 email, Haumith K Farooqi email, Linda M Liau4,6 email, Steve Horvath5 email, Paul S Mischel6 email and Stanley F Nelson1,6 email

Department of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California 90095-7088 USA

The Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, Arizona 85013 USA

Department of Neurology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California 90095-1769 USA

Department of Neurosurgery, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California 90095-6901 USA

Department of Biostatistics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California 90095-1772 USA

Jonsson Comprehensive Cancer Center, University of California Los Angeles, Los Angeles, California 90095-1781 USA

author email corresponding author email

BMC Medical Genomics 2008, 1:52doi: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

This file can be viewed with: Microsoft Excel Viewer

Additional file 2:

Standard protocol recommended by Affymetrix used at UCLA DNA Microarray Facility.

Format: DOC Size: 25KB Download file

This file can be viewed with: Microsoft Word Viewer

Additional file 3:

List of Affymetrix probesets used for voting each tumour across each of the Affymetrix platforms.

Format: XLS Size: 249KB Download file

This file can be viewed with: Microsoft Excel Viewer

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

This file can be viewed with: Microsoft Word Viewer


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