This exploratory translational study investigates early breast cancer (EBC), focusing on triple-negative (TNBC) and high-risk luminal (ER+/HER2-) subtypes. By integrating single-cell RNA sequencing, using the 10x Genomics platform (or similar technologies if it will be not available at the time of experiment), and spatial imaging analyses from serial tumor biopsies, the project aims to characterize tumor-immune interactions and identify predictive biomarkers of response or resistance to neoadjuvant chemo-immunotherapy.
We hypothesize that early molecular and spatial features, when detected at the single-cell level, can predict treatment sensitivity or resistance. This would enable adaptive therapeutic strategies that minimize overtreatment while maximizing efficacy in EBC. Our goal is to reveal, for the first time, the cellular heterogeneity and spatial interactions that drive therapy resistance and disease progression.
The analysis will be performed on tumor biopsies collected before the start of treatment, after C1D1 and on surgical material. The only tissue sample collected specifically for the study is the biopsy after C1D1.
