Heterologous tissue culture expression signature predicts human breast cancer prognosis.

ABSTRACT:

Background

Cancer patients have highly variable clinical outcomes owing to many factors, among which are genes that determine the likelihood of invasion and metastasis. This predisposition can be reflected in the gene expression pattern of the primary tumor, which may predict outcomes and guide the choice of treatment better than other clinical predictors.

Methodology/principal findings

We developed an mRNA expression-based model that can predict prognosis/outcomes of human breast cancer patients regardless of microarray platform and patient group. Our model was developed using genes differentially expressed in mouse plasma cell tumors growing in vivo versus those growing in vitro. The prediction system was validated using published data from three cohorts of patients for wh

SUBMITTER: Park ES 

PROVIDER: S-EPMC1764035 | biostudies-literature | 2007 Jan

REPOSITORIES: biostudies-literature