About
The group explores personalized breast cancer (BC) hormone therapy via stratified tamoxifen treatment and genetic risk stratification using large consortial data. It further investigates tumour heterogeneity through spatial immunofluorescence/transcriptomics, and AI-driven computational pathology. Prediction of therapy failure is addressed via a p53 mRNA classifier, PIK3CA mutation, and circulating tumour markers. International and interdisciplinary collaborations support patient recruitment, genetic validation, and multianalyte assays for the assessment of recurrence risk.