Decoding cancer dynamics: Hypergraph analysis of stem cell marker interactions through O-information and community detection

Abstract

This study explores the systemic interactions between cancer stem cell markers (CSCMs) andcancer-affected organs through a hypergraph-based approach. By modelling organs as nodes andCSCMs as hyperedges, we capture multi-way relationships beyond conventional pairwise analyses.Using the Louvain algorithm, we identify clusters of organs with shared CSCM profiles, revealingpotential tumourigenic pathways and functional networks. Additionally, O-information quantifiesredundancy and synergy, highlighting CSCMs with systemic influence on tumour progression andmetastasis. These findings provide a structured framework for understanding CSCM dynamicsacross organ systems, offering insights that may inform targeted, multi-organ therapeutic strategies