Comparison of risk assessment in 1652 early ER positive, HER2 negative breast cancer in a real-world data set: classical pathological parameters vs. 12-gene molecular assay (EndoPredict).

ABSTRACT:

Background

Risk assessment on the molecular level is important in predictive pathology to determine the risk of metastatic disease for ERpos, HER2neg breast cancer. The gene expression test EndoPredict (EP) was trained and validated for prediction of a 10-year risk of distant recurrence to support therapy decisions regarding endocrine therapy alone or in combination with chemotherapy. The EP test provides the 12-gene Molecular Score (MS) and the EPclin-Score (EPclin), which combines the molecular score with tumor size and nodal status. In this project we investigated the correlation of 12-gene MS and EPclin scores with classical pathological markers.

Methods

EndoPredict-based gene expression profiling was performed prospectively in a total of 1652 patients between 2017 and 2

SUBMITTER: Jank P 

PROVIDER: S-EPMC8763835 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature