Pathway‐level mutational signatures predict breast cancer outcomes and reveal therapeutic targets

BACKGROUND AND PURPOSE: In order to significantly improve the therapeutic treatment of breast cancer, the exploration of underlying genetic and molecular differences is absolutely necessary. Here, our goal was to integrate mutational status of entire pathways to reveal molecular pathway interactions determining survival. EXPERIMENTAL APPROACH: A comprehensive analysis of breast cancer mutations was conducted by integrating data from three distinct databases with a total of 4586 samples encompassing over 25,000 genes. For each gene, we filtered mutations that disruptively affect the protein structure. Cox proportional hazard regression was employed to link altered pathways to outcome. We also identified the…