NCBI Logo
GEO Logo
   NCBI > GEO > Accession DisplayHelp Not logged in | LoginHelp
GEO help: Mouse over screen elements for information.
          Go
Series GSE22762 Query DataSets for GSE22762
Status Public on Oct 14, 2011
Title An eight-gene expression signature for the prediction of survival and time to treatment in chronic lymphocytic leukemia
Organism Homo sapiens
Experiment type Expression profiling by array
Summary Chronic lymphocytic leukemia (CLL) is a common and heterogeneous disease. An accurate prediction of outcome is highly relevant for the development of personalized treatment strategies. Microarray technology was shown to be a useful tool for the development of prognostic gene expression scores. However, there are no gene expression scores which are able to predict overall survival in CLL based on the expression of few genes that are better than established prognostic markers. We correlated 151 CLL microarray data sets with overall survival using Cox regression and supervised principal component analysis to derive a prognostic score. This score based on the expression levels of eight genes and was validated in an independent group of 149 CLL patients by quantitative real time PCR. The score was predictive for overall survival and time to treatment in univariate Cox regression in the validation data set (both: p<0.001) and in a multivariate analysis after adjustment for 17p and 11q deletions and the IgVH-status. The score achieved superior prognostic accuracy compared to models based on genomic aberrations and IgVH-status and may support personalized therapy.
 
Overall design Analysis of 151 samples of peripheral blood mononuclear cells (107 HGU-133plus2; 44 HGU-133A; 44 HGU-133B) from adult patients with chronic lymphocytic leukemia (CLL)
 
Contributor(s) Herold T, Jurinovic V, Metzeler K, Boulesteix A, Bergmann M, Seiler T, Mulaw M, Thoene S, Dufour A, Pasalic Z, Schmidberger M, Schmidt M, Schneider S, Kakadia P, Feuring-Buske M, Braess J, Spiekermann K, Mansmann U, Hiddemann W, Buske C, Bohlander S
Citation(s) 21625232, 23189934
Submission date Jul 06, 2010
Last update date Mar 25, 2019
Contact name Tobias Herold
E-mail(s) tobias.herold@med.uni-muenchen.de
Organization name University Hospital Grosshadern, Ludwig-Maximilians-University (LMU)
Department Department of Internal Medicine III
Street address Marchioninistr. 15
City Munich
ZIP/Postal code 81377
Country Germany
 
Platforms (3)
GPL96 [HG-U133A] Affymetrix Human Genome U133A Array
GPL97 [HG-U133B] Affymetrix Human Genome U133B Array
GPL570 [HG-U133_Plus_2] Affymetrix Human Genome U133 Plus 2.0 Array
Samples (195)
GSM562854 CLL_Peripheral_Blood_GED001 HGU133A
GSM562855 CLL_Peripheral_Blood_GED003 HGU133A
GSM562856 CLL_Peripheral_Blood_GED007 HGU133A
Relations
BioProject PRJNA128247

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE22762_RAW.tar 1.1 Gb (http)(custom) TAR (of CEL)
Processed data included within Sample table
| NLM | NIH | GEO Help | Disclaimer | Accessibility |
NCBI Home NCBI Search NCBI SiteMap