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Status |
Public on Oct 25, 2010 |
Title |
Building Prognostic Models for Breast Cancer Patients Using Clinical Variables and Gene Expression Signatures |
Organism |
Homo sapiens |
Experiment type |
Expression profiling by array
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Summary |
Our findings indicate that the integration of expression signatures and clinicopathological factors can better determine the individual risk of recurrence for newly diagnosed patients with lymph-node negative ER-positive breast cancer. Models incorporating other variables yet to be discovered will be needed to obtain robust prognostic models for ER-negative and HER2-positive breast cancer patients.
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Overall design |
A large data set was created by combining five different publicly available microarray datasets of node-negative breast cancer patients treated with local therapy only. The microarray gene expression data was combined using the batch effect adjustment by the Distance Weighted Discrimination method.
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Contributor(s) |
FAN C, Prat Aparicio A, Parker JS, Liu Y, Perou CM |
Citation(s) |
21214954 |
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Submission date |
Mar 25, 2009 |
Last update date |
Feb 20, 2017 |
Contact name |
Charles M. Perou |
E-mail(s) |
cperou@med.unc.edu
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Organization name |
University of North Carolina at Chapel Hill
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Department |
Professor of Genetics, and Pathology & Laboratory Medicine; Lineberger Comprehensive Cancer Center
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Street address |
12-044 Lineberger Comprehensive Cancer Center CB# 7295
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City |
Chapel Hill |
State/province |
NC |
ZIP/Postal code |
27599-7264 |
Country |
USA |
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Platforms (4)
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GPL885 |
Agilent-011521 Human 1A Microarray G4110A (Feature Number version) |
GPL887 |
Agilent-012097 Human 1A Microarray (V2) G4110B (Feature Number version) |
GPL1390 |
Agilent Human 1A Oligo UNC custom Microarrays |
GPL5325 |
Agilent UNC Perou Lab Homo sapiens 1X44K Custom Array |
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Samples (42)
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Relations |
BioProject |
PRJNA117131 |