Gene expression signature for glioblastoma outcome
Complete CTWC Analysis for the manuscript in press :
Stem Cell-Related Self-Renewal Signature and
High Epidermal Growth Factor Receptor Expression
Associated With Resistance to Concomitant Chemoradiotherapy in Glioblastoma
*Anastasia Murat, *Eugenia Migliavacca, Thierry Gorlia, Wanyu L. Lambiv, Tal Shay, Marie-France Hamou, Nicolas de Tribolet, Luca Regli, Wolfgang Wick, Mathilde C.M. Kouwenhoven, Johannes A. Hainfellner, Frank L. Heppner, Pierre-Yves Dietrich, Yitzhak Zimmer, J. Gregory Cairncross, Robert-Charles Janzer, Eytan Domany, Mauro Delorenzi, Roger Stupp, and #Monika E. Hegi
J Clin Oncol, June 20, in press 2008
*both authors contributed equally to this work
#correspondence to Monika.Hegi@chuv.ch
Background
Prognosis of patients with glioblastoma remains poor despite recent advances in chemoradiotherapy. While epigenetic inactivation of MGMT mediated DNA repair is highly predictive for benefit from the alkylating agent therapy temozolomide, additional mechanisms for resistance associated with molecular alterations exist. New concepts in cancer suggest that resistance to treatment may be linked to cancer stem cells that escape therapy and act as source for tumor recurrence.
Matrix of gene expression data:
The expression intensities for all probesets from Affymetrix CEL-files were estimated using robust multi-array average (RMA) with probe-level quantile normalization followed by median polish summarization as implemented in the BioConductor software (http://www.bioconductor.org/). A variance filter was applied retaining the 3,860 most variable probe sets (standard deviation greater than 0.75) for subsequent analyses.
The expression matrix of 84 samples (80 glioblastoma, 4 non-tumoral brain samples)
and 3,860 probe sets passing the variation filter:
geneExpressionMatrix.xls or
geneExpressionMatrix.txt
Results of CTWC
Parameters used to run CTWC run_params.html
Results of CTWC Results-56231395