Ontology highlight
ABSTRACT: Introduction
The classification of breast cancer patients into risk groups provides a powerful tool for the identification of patients who will benefit from aggressive systemic therapy. The analysis of microarray data has generated several gene expression signatures that improve diagnosis and allow risk assessment. There is also evidence that cell proliferation-related genes have a high predictive power within these signatures.Methods
We thus constructed a gene expression signature (the DM signature) using the human orthologues of 108 Drosophila melanogaster genes required for either the maintenance of chromosome integrity (36 genes) or mitotic division (72 genes).Results
The DM signature has minimal overlap with the extant signatures and is highly predictive of sur
SUBMITTER: Damasco C
PROVIDER: S-EPMC3046113 | biostudies-literature | 2011 Feb
REPOSITORIES: biostudies-literature