Molecular and functional profiling of chemotolerant cells unveils nucleoside metabolism-dependent vulnerabilities in medulloblastoma.
Elena MariottoElena RampazzoRoberta BortolozziFatlum RrugaIlaria ZeniLorenzo ManfredaChiara MarchioroMartina CantonAlice CaniRuben MagniAlessandra LuchiniSilvia BresolinGiampietro ViolaLuca PersanoPublished in: Acta neuropathologica communications (2023)
Chemotherapy resistance is considered one of the main causes of tumor relapse, still challenging researchers for the identification of the molecular mechanisms sustaining its emergence. Here, we setup and characterized chemotherapy-resistant models of Medulloblastoma (MB), one of the most lethal pediatric brain tumors, to uncover targetable vulnerabilities associated to their resistant phenotype. Integration of proteomic, transcriptomic and kinomic data revealed a significant deregulation of several pathways in resistant MB cells, converging to cell metabolism, RNA/protein homeostasis, and immune response, eventually impacting on patient outcome. Moreover, resistant MB cell response to a large library of compounds through a high-throughput screening (HTS), highlighted nucleoside metabolism as a relevant vulnerability of chemotolerant cells, with peculiar antimetabolites demonstrating increased efficacy against them and even synergism with conventional chemotherapeutics. Our results suggest that drug-resistant cells significantly rewire multiple cellular processes, allowing their adaptation to a chemotoxic environment, nevertheless exposing alternative actionable susceptibilities for their specific targeting.
Keyphrases
- induced apoptosis
- drug resistant
- single cell
- cell cycle arrest
- multidrug resistant
- endoplasmic reticulum stress
- stem cells
- signaling pathway
- squamous cell carcinoma
- climate change
- young adults
- locally advanced
- small molecule
- dendritic cells
- machine learning
- inflammatory response
- electronic health record
- big data
- rectal cancer