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Series GSE7390 Query DataSets for GSE7390
Status Public on Jun 11, 2007
Title Strong Time Dependence of the 76-Gene Prognostic Signature
Organism Homo sapiens
Experiment type Expression profiling by array
Summary Background: Recently a 76-gene prognostic signature able to predict distant metastases in lymph node-negative (N-) breast cancer patients was reported. The aims of this study conducted by TRANSBIG were to independently validate these results and to compare the outcome with clinical risk assessment. Materials and Methods: Gene expression profiling of frozen samples from 198 N- systemically untreated patients was performed at the Bordet Institute, blinded to clinical data and independent of Veridex. Genomic risk was defined by Veridex, blinded to clinical data. Survival analyses, done by an independent statistician, were performed with the genomic risk and adjusted for the clinical risk, defined by Adjuvant!Online. Results: The actual 5- and 10-year time to distant metastasis (TDM) were 98% (88%-100%) and 94% (83%-98%) respectively for the good profile group and 76% (68%- 82%) and 73% (65%-79%) for the poor profile group. The actual 5- and 10-year overall survival (OS) were 98% (88%-100%) and 87% (73%-94%) respectively for the good profile group and 84% (77%-89%) and 72% (63%-78%) for the poor profile group. We observed a strong time-dependency of this signature, leading to an adjusted HR of 13.58 (1.85-99.63) and 8.20 (1.10-60.90) at 5 years, and 5.11 (1.57-16.67) and 2.55 (1.07-6.10) at 10 years for TDM and OS respectively. Conclusion: This independent validation confirmed the performance of the 76-gene signature and adds to the growing evidence that gene expression signatures are of clinical relevance, especially for identifying patients at high risk of early distant metastases.
Keywords: disease state analysis
Overall design dataset of microarray experiments from primary breast tumors used to validate the 76-gene signature (VERIDEX). No replicate, no reference sample.
Contributor(s) Desmedt C, Piette F, Loi S, Wang Y, Lallemand F, Haibe-Kains B, Viale G, Delorenzi M, Zhang Y, Saghatchian M, Bergh J, Lidereau R, Ellis P, Harris A, Klijn JG, Foekens JA, Cardoso F, Piccart MJ, Buyse M, Sotiriou C
Citation(s) 17545524, 25788628
Submission date Mar 28, 2007
Last update date Aug 10, 2018
Contact name Benjamin Haibe-Kains
Phone +14165818626
Organization name Princess Margaret Cancer Centre
Department Princess Margaret Research
Lab Bioinformatics and Computational Genomics
Street address 610 University Avenue
City Toronto
State/province Ontario
ZIP/Postal code M5G 2M9
Country Canada
Platforms (1)
GPL96 [HG-U133A] Affymetrix Human Genome U133A Array
Samples (198)
GSM177885 VDXGUYU_4002
GSM177886 VDXGUYU_4008
GSM177887 VDXGUYU_4011
BioProject PRJNA97873

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
GSE7390_RAW.tar 629.2 Mb (http)(custom) TAR (of CEL)
GSE7390_transbig2006affy.RData.gz 32.4 Mb (ftp)(http) RDATA
GSE7390_transbig2006affy_README.txt 2.9 Kb (ftp)(http) TXT
GSE7390_transbig2006affy_demo.txt.gz 7.1 Kb (ftp)(http) TXT

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