showing 3 related works from this author
Abstract P2-05-04: Gene expression associated with poor prognosis of young TNBC patients
2015
Abstract Background: Among TNBC patients those of very young age (<40 years) display a significantly worse prognosis (Liedtke et al. 2013 Breast Cancer Res Treat). We verified this result in 1161 TNBC samples with full Affymetrix gene expression data of which 845 patients had both detailed age and follow up information. Materials and Methods: We split the full sample set into a finding cohort of 394 TNBC and a validation cohort of 767 TNBC encompassing 309 and 536 samples, respectively, with both age and follow up data. We then used significance analysis of microarrays (SAM) in the finding cohort to look for genes whose expression is associated with young age (<40 years). Iden…
Control of dataset bias in combined Affymetrix cohorts of triple negative breast cancer
2014
AbstractHeterogenous subtypes of breast cancer need to be analyzed separately. Pooling of datasets can provide reasonable sample sizes but dataset bias is an important concern. We assembled a combined dataset of 579 Affymetrix microarrays from triple negative breast cancer (TNBC) in Gene Expression Omnibus (GEO) series GSE31519. We developed a method for selecting comparable datasets and to control for the amount of dataset bias of individual probesets.