A robust prognostic signature for hormone-positive node-negative breast cancer.

ABSTRACT:

Background

Systemic chemotherapy in the adjuvant setting can cure breast cancer in some patients that would otherwise recur with incurable, metastatic disease. However, since only a fraction of patients would have recurrence after surgery alone, the challenge is to stratify high-risk patients (who stand to benefit from systemic chemotherapy) from low-risk patients (who can safely be spared treatment related toxicities and costs).

Methods

We focus here on risk stratification in node-negative, ER-positive, HER2-negative breast cancer. We use a large database of publicly available microarray datasets to build a random forests classifier and develop a robust multi-gene mRNA transcription-based predictor of relapse free survival at 10 years, which we call the Random Forests Relap

SUBMITTER: Griffith OL 

PROVIDER: S-EPMC3961800 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature