A Gene-Expression Signature as a Predictor of Survival in Breast Cancer
The Netherlands Cancer Institute · Rosetta Stone (United States) · +3 more institutions
Abstract
A more accurate means of prognostication in breast cancer will improve the selection of patients for adjuvant systemic therapy.
Using microarray analysis to evaluate our previously established 70-gene prognosis profile, we classified a series of 295 consecutive patients with primary breast carcinomas as having a gene-expression signature associated with either a poor prognosis or a good prognosis. All patients had stage I or II breast cancer and were younger than 53 years old; 151 had lymph-node-negative disease, and 144 had lymph-node-positive disease. We evaluated the predictive power of the prognosis profile using univariable and multivariable statistical analyses.
Citation impact
- FWCI
- 104.61
- Percentile
- 100%
- References
- 24
Authors
21Topics & keywords
- Medicine
- Hazard ratio
- Breast cancer
- Internal medicine
- Oncology
- Proportional hazards model
- Gene signature
- Lymph node
- No poverty