Transcriptomics

Dataset Information

5

Building Prognostic Models for Breast Cancer Patients Using Clinical Variables and Gene Expression Signatures


ABSTRACT: 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. 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.

ORGANISM(S): Homo sapiens  

SUBMITTER: Yufeng Liu   Charles Perou  Cheng FAN  Charles M Perou  Joel S Parker  Aleix Prat Aparicio 

PROVIDER: E-GEOD-15393 | ArrayExpress | 2010-10-25

SECONDARY ACCESSION(S): GSE15393PRJNA117131

REPOSITORIES: GEO, ArrayExpress

Similar Datasets

2010-06-05 | E-GEOD-1319 | ArrayExpress
2010-06-10 | E-GEOD-1706 | ArrayExpress
2013-10-29 | E-GEOD-50470 | ArrayExpress
2013-04-22 | E-GEOD-36889 | ArrayExpress
2008-06-12 | E-GEOD-3178 | ArrayExpress
2009-03-31 | E-GEOD-3521 | ArrayExpress
2010-06-24 | E-GEOD-10886 | ArrayExpress
2009-04-01 | E-GEOD-10885 | ArrayExpress
2010-08-31 | E-GEOD-20624 | ArrayExpress
2011-06-20 | E-GEOD-26338 | ArrayExpress