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Series GSE22384 Query DataSets for GSE22384
Status Public on Jul 19, 2011
Title Systematic Bias in Genomic Classification Due to Contaminating Normal Tissue in Breast Tumor Samples
Organism Homo sapiens
Experiment type Expression profiling by array
Summary Results: Normal tissue contamination caused misclassification of tumors in all predictors, but different breast cancer predictors showed different susceptibility to normal tissue bias. Sensitivity and negative predictive value (NPV) of the PAM50 assay was improved by accounting for normal tissue.

Conclusions: Normal tissue sampled concurrently with tumor tissue is an important source of bias in genomic predictors. Adjustments for normal tissue contamination could improve the application of breast cancer genomic predictors in both research and in clinical settings.
 
Overall design Reference x breast tumor samples.
 
Contributor(s) Elloumi F, Troester MA
Citation(s) 21718502
Submission date Jun 16, 2010
Last update date Feb 22, 2018
Contact name Melissa Troester
E-mail(s) [email protected]
Organization name University of North Carolina at Chapel Hill
Department Epidemiology
Street address 135 Dauer Drive, CB 7435
City Chapel Hill
State/province NC
ZIP/Postal code 27599
Country USA
 
Platforms (4)
GPL4133 Agilent-014850 Whole Human Genome Microarray 4x44K G4112F (Feature Number version)
GPL8264 UNC PerouLab 244K Custom Human Array version 3
GPL8269 UNC PerouLab 244K Custom Human Array version 5
Samples (118)
GSM555393 020300A-244K
GSM555394 020300B-244K
GSM555395 UNC02-0575A-244K
Relations
BioProject PRJNA127631

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
GSE22384_RAW.tar 6.9 Mb (http)(custom) TAR
Processed data included within Sample table

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