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Series GSE168621 Query DataSets for GSE168621
Status Public on Mar 11, 2021
Title Dual tumor and normal biopsies from various cancer patients
Organism Homo sapiens
Experiment type Expression profiling by array
Summary Transcriptomic profiling of cancer patients from tumor tissue and organ-matched normal tissue as reference which were taken as part of the WINTHER clinical trial. The organ-matched normal tissues were used in order to eliminate host gene expression variability while discarding most genetic variability between individuals. The goal was to develop an algorithm, Digital Display Precision Predictor (DDPP), which aims to identify transcriptomic predictors of treatment outcome, which were recorded in the trial.
 
Overall design Dual biopsies experiment - Tumor tissue vs. organ-matched normal tissue. 23 Samples were collected along with the outcomes under treatments, which was individualized based on the cancer type and individual status. Hybridizations were performed as dual-dye-swapped (direct and inversed labeling) experiments
 
Contributor(s) Lazar V
Citation missing Has this study been published? Please login to update or notify GEO.
Submission date Mar 10, 2021
Last update date Mar 13, 2021
Contact name Shai Magidi
E-mail(s) shai.magidi@winconsortium.org
Organization name WIN Consortium
Street address rue Guy Moquet
City Villejuif
ZIP/Postal code 94800
Country France
 
Platforms (1)
GPL14550 Agilent-028004 SurePrint G3 Human GE 8x60K Microarray (Probe Name Version)
Samples (23)
GSM5151374 Tumor vs Normal patient ID 006
GSM5151375 Tumor vs Normal patient ID 025
GSM5151376 Tumor vs Normal patient ID 083
Relations
BioProject PRJNA713292

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
GSE168621_RAW.tar 316.5 Mb (http)(custom) TAR (of TSV, TXT)
Raw data provided as supplementary file
Processed data included within Sample table
Processed data provided as supplementary file

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