Abstract
Triple negative breast cancer (TNBC) is a particularly important breast cancer subtype with an aggressive clinical phenotype that is associated with a higher likelihood of metastasis. This subtype is characterized by an absence of the estrogen (ER) and progesterone (PR) receptors, as well as the human epidermal growth factor receptor 2 (HER2/HER neu). The absence of the three receptors significantly reduces targeted treatment options for patients with TNBC and as such, there is an urgent need to identify novel treatment targets. Here, we provide detailed information regarding the design of a multi-platform dataset that describes genome-wide assessment of miRNA (assessed by microarray, GSE38167) and gene expression (assessed by microarray, GSE61723), as well as methylation (assessed by Illumina HM450K BeadChip, GSE78751) in TNBCs, matched normal adjacent tissues and matched lymph node metastases. The use of this multi-platform dataset is likely to uncover novel markers and key pathways involved in progression to lymph node metastasis in TNBC.