S. A. Mani

The paper identifies a four-gene signature associated with EV secretion in breast cancer and links it to poor prognosis and immune evasion.

This study shows that cancer cells acquire stem cell properties during EMT through cell division, not the mesenchymal program, and highlights the importance of EMT-induced stemness markers for clinical prediction.

The paper develops a single-cell technique to profile exosome secretion in breast cancer cells and finds that non-metastatic cells secrete more exosomes, which correlates with better prognosis and immune infiltration.

This paper investigates how epigenetic feedback affects EMT dynamics by integrating a feedback term into a computational model and supporting it with experimental data showing prolonged TGFβ exposure impairs reversion to the epithelial state.

The paper uses experimental and theoretical approaches to evaluate two models of EMT dynamics, finding experimental evidence supporting the ternary chimera switch model over the cascading bistable switches model.