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[Preprint]. 2025 Apr 4:rs.3.rs-6299872. [Version 1] doi: 10.21203/rs.3.rs-6299872/v1

Spatial synaptic connectivity underlies oligodendroglioma evolution and recurrence

David Raleigh, Kanish Mirchia, Sena Oten, Thiebaud Picart, Minh Nguyen, Vardhaan Ambati, Harish Vasudevan, Jacob Young, Jennie Taylor, Saritha Krishna, David Brang, Joanna Phillips, Arie Perry, Mitchel Berger, Susan Chang, John de Groot, Shawn Hervey-Jumper
PMCID: PMC11998797  PMID: 40235496

Abstract

Oligodendrogliomas are initially slow-growing brain tumors that are prone to malignant transformation despite surgery and cytotoxic therapy. Understanding of oligodendroglioma evolution and new treatments for patients have been encumbered by a paucity of patient-matched newly diagnosed and recurrent tumor samples for multiplatform analyses, and by a lack of preclinical models for interrogation of therapeutic vulnerabilities that drive oligodendroglioma growth. Here we integrate spatial and functional analyses of tumor samples and patient-derived organoid co-cultures to show that synaptic connectivity is a hallmark of oligodendroglioma evolution and recurrence. We find that patient-matched recurrent oligodendrogliomas are enriched in synaptic gene expression programs irrespective of previous therapy or histologic grade. Analyses of spatial, single-cell, and clinical data reveal epigenetic misactivation of synaptic genes that are concentrated in regions of cortical infiltration and can be used to predict eventual oligodendroglioma recurrence. To translate these findings to patients, we show that local field potentials from tumor-infiltrated cortex at the time of resection and neuronal hyperexcitability and synchrony in patient-derived organoid co-cultures are associated with oligodendroglioma proliferation and recurrence. In preclinical models, we find that neurophysiologic drugs block oligodendroglioma growth and pathologic electrophysiology. These results elucidate mechanisms underlying oligodendroglioma evolution from an indolent tumor to a fatal disease and shed light on new biomarkers and new treatments for patients.

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