A simple user-friendly tool for examining putative gene/miRNA prognostic markers in breast cancer. BreastMark combines gene expression data from multiple microarray experiments which frequently also contain miRNA expression information, and detailed clinical data to correlate outcome with gene/miRNA expression levels. This algorithm integrates gene expression and survival data from 26 datasets on 12 different microarray platforms corresponding to ~17,000 genes in up to 4,738 samples. It also allows us to examine the prognostic potential of 341 microRNAs. The value of BreastMark is both in the simplicity of its design and the robustness of its approach. It is designed with non-bioinformatic research groups in mind and is of great value in the preliminary assessment of putative biomarkers in breast cancer as a whole and within its molecular subtypes.
Molecular Therapeutics for Cancer Ireland, National Institute for Cellular Biotechnology, Dublin City University, Dublin, Ireland; UCD School of Biomolecular and Biomedical Science, UCD Conway Institute, University College Dublin, Dublin, Ireland
BreastMark funding source(s)
The Science Foundation Ireland Strategic Research Cluster, Molecular Therapeutics for Cancer Ireland; the FP7 Collaborative Health programme, RATHER