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Series GSE29561 Query DataSets for GSE29561
Status Public on Oct 26, 2012
Title Response prediction to neoadjuvant chemotherapy
Organism Homo sapiens
Experiment type Expression profiling by array
Summary We investigated whether we could identify gene expression profiles in initial core biopsies of breast cancer samples that would permit to a) predict a clinically meaningful response to Epi/Doc in terms of tumor size reduction, b) predict a profound reduction in intratumoral Ki67 protein expression, and c) predict an in vitro response to Epi/Doc in the ATP-TCA.
 
Overall design 22 Samples from breast cancer patients with corresponding treatment response indicators
 
Contributor(s) Singer C, Bilban M, Klinglmueller F
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Submission date May 26, 2011
Last update date Aug 10, 2018
Contact name Florian Leopold Klinglmueller
E-mail(s) florian.klinglmueller@meduniwien.ac.at
Organization name Medizinische Universitaet Wien
Department Medizinische Statistik und Informatik
Street address Spitalgasse 23
City Vienna
ZIP/Postal code 1090
Country Austria
 
Platforms (1)
GPL96 [HG-U133A] Affymetrix Human Genome U133A Array
Samples (22)
GSM731859 Pre-treatment breast cancer cells sample 1
GSM731860 Pre-treatment breast cancer cells sample 2
GSM731861 Pre-treatment breast cancer cells sample 3
Relations
BioProject PRJNA141331

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
GSE29561_RAW.tar 75.4 Mb (http)(custom) TAR (of CEL)
Processed data included within Sample table
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