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Series GSE58644 Query DataSets for GSE58644
Status Public on Oct 08, 2014
Title The prognostic ease and difficulty of invasive breast carcinoma
Organism Homo sapiens
Experiment type Expression profiling by array
Summary Breast carcinoma (BC) have been extensively profiled by high-throughput technologies for over a decade, and broadly speaking, these studies can be grouped into those that seek to identify patient subtypes (studies of heterogeneity) or those that seek to identify gene signatures with prognostic or predictive capacity. The shear number of reported signatures has led to speculation that everything is prognostic in BC. Here we show that this ubiquity is an apparition caused by a poor understanding of the inter- relatedness between subtype and the molecular determinants of prognosis. Our approach constructively shows how to avoid confounding due to a patient's subtype, clinicopathological or treatment profile. The approach identifies patients who are predicted to have good outcome at time of diagnosis by all available clinical and molecular markers, but who experience a distant metastasis within five years. These inherently difficult patients (~7% of BC) are prioritized for investigations of intra-tumoral heterogeneity.
Overall design 321 samples from breast cancer patients.
Contributor(s) Suderman M, Tofigh A, Paquet ER, Livingstone J, Bertos N, Zhao H, Souleimanova M, Cory S, Lesurf R, Shahalizadeh S, Saleh S, Garcia Lopez N, Riazalhosseini Y, Omeroglu A, Ursini-Siegel J, Park M, Dumeaux V, Hallett M
Citation(s) 25284793
Submission date Jun 18, 2014
Last update date Jul 26, 2018
Contact name Eric R Paquet
Organization name EPFL
Department Life sciences
Lab Naef lab
Street address Station 15 CH - 1015
City Lausanne
State/province Vaud
ZIP/Postal code 1015
Country Switzerland
Platforms (1)
GPL6244 [HuGene-1_0-st] Affymetrix Human Gene 1.0 ST Array [transcript (gene) version]
Samples (321)
BioProject PRJNA253066

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
GSE58644_RAW.tar 1.3 Gb (http)(custom) TAR (of CEL)
GSE58644_readme.txt.gz 542 b (ftp)(http) TXT
Raw data provided as supplementary file
Processed data included within Sample table

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