Manuela Salvucci

This paper identifies a five-protein stem cell signature using a deep neural network that predicts relapse in stage III colorectal cancer patients.

This study uses high-resolution spatial proteomics to characterize colorectal cancer consensus molecular subtypes at single-cell resolution, revealing subtype-specific immune and metabolic features.

The paper investigates the spatial relationship between T cells and cancer cells in stage III CRC patients, finding that closer proximity of T cells to cancer cells is associated with better disease-free survival.