GSE96058 Clinical Value of RNA-sequencing-based Classifiers for Prediction of the Five Conventional Breast Cancer Biomarkers: a Report From the Population-based Multicenter SCAN-B Study [cohort 3273]

CONCLUSIONS: RNA-seq-based classifiers for the five key early breast cancer biomarkers were generally equivalent to conventional histopathology with regards to classification error rate. However, our RNA-seq classifiers provided added clinical value in particular for cases determined by histopathology to be hormone-responsive but by RNA-seq to be hormone-insensitive and have a significantly poorer outcome when treated with endocrine therapy alone.
Source: GEO: Gene Expression Omnibus - Category: Genetics & Stem Cells Tags: Expression profiling by high throughput sequencing Homo sapiens Source Type: research