EPEN-20. LEVERAGING ABERRANT EXTRACELLULAR VESICLE SIGNALING FOR TARGETED DRUG REPURPOSING IN PEDIATRIC EPENDYMOMA

Abstract

Abstract Increasing evidence highlights the diverse functions of extracellular vesicles (EVs) as intercellular messengers in all facets of cancer progression, pointing towards a potential new avenue in cancer treatment. Limited understanding of tumor-specific deregulations and lack of suitable drug compounds have hampered clinical translation of targeted interference with EV signaling. The most aggressive types of intracranial ependymoma (EPN) in children and adults are resistant to chemotherapy. Despite enormous diagnostic advancements in classification and stratification, EPN lack recurrent effective molecular targets precluding access of affected patients to precision-based oncology therapeutics. Here, we characterized the proteome of ninety-five EPN and five matching healthy control brain tissue samples. Employing a mulit-omic data integration approach, we identified EVs as an excessively augmented pathway on the functional level. Isolation and molecular characterization of EPN EVs combined with single cell sequencing analysis, and ultra-high content imaging unraveled perivascular mesenchymal cell populations as predominant EV originators. Targeting EV pathways through chemical inhibition of sphingomyelinases (SMPD1, SMPD2, SMPD3) including re-purposed FDA approved compounds revealed growth inhibition, reduced invasion capacity in vitro and significant survival probability in vivo. Transcriptomic analysis and scanning electron microscopy delineated transition of mesenchymal-to neuroepithelial subpopulations in cells and patient-derived xenograft (PDX) models of EPN upon reduction of EV release. This study showcases the inhibition of EV signaling as a promising therapeutic strategy against mesenchymal tumor persister cells, which are the suspected origins of repeated EPN relapses. Our study provides a framework to leverage cell state-specific vulnerabilities and drug repurposing to attack the most aggressive cell populations in cancers with unfavorable prognosis.