A Gene Signature for Predicting Outcome in Patients with Basal-like Breast Cancer
Open Access
- 17 January 2012
- journal article
- research article
- Published by Springer Science and Business Media LLC in Scientific Reports
- Vol. 2 (1), 227
- https://doi.org/10.1038/srep00227
Abstract
Basal-like breast cancer is a molecular subtype of breast cancer with a poor prognosis. Follow-up studies of long-term outcome in these patients, demonstrates they can be separated into two clinical groups: those who succumb to their disease within the first 5 years and those expected to show excellent long term survival. Currently available clinical/histopathological variables as well as molecular signatures show little capacity to identify basal breast cancer patients with either a high or low risk of disease relapse. Using data derived from 85 basal-like breast cancer patients, we identified a 14-gene signature, which we subsequently validated on an additional 49 basal breast cancer patient set. The ability to distinguish between these two sub-groups of basal breast cancer patients at the time of initial diagnosis would permit tailoring aggressive therapeutic regimens to those patients with a poor prognosis and conversely avoid such therapy in low risk patients.Keywords
This publication has 51 references indexed in Scilit:
- Frozen robust multiarray analysis (fRMA)Biostatistics, 2010
- A comparative study of survival models for breast cancer prognostication based on microarray data: does a single gene beat them all?Bioinformatics, 2008
- TDRD3, a novel Tudor domain-containing protein, localizes to cytoplasmic stress granulesHuman Molecular Genetics, 2008
- The cofilin pathway in breast cancer invasion and metastasisNature Reviews Cancer, 2007
- Prognostic markers in triple‐negative breast cancerCancer, 2006
- A Multigene Assay to Predict Recurrence of Tamoxifen-Treated, Node-Negative Breast CancerThe New England Journal of Medicine, 2004
- Repeated observation of breast tumor subtypes in independent gene expression data setsProceedings of the National Academy of Sciences of the United States of America, 2003
- A Gene-Expression Signature as a Predictor of Survival in Breast CancerThe New England Journal of Medicine, 2002
- Gene expression profiling predicts clinical outcome of breast cancerNature, 2002
- Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implicationsProceedings of the National Academy of Sciences of the United States of America, 2001