Journal of Extracellular VesiclesCancer BiologyPeer-reviewed journal article
Small Extracellular Vesicles from Radioresistant H3K27M-Pediatric Diffuse Midline Glioma Cells Modulate Tumor Phenotypes and Radiation Response
Viral D. OzaiD, Kenan A. Flores, Yelena Chernyavskaya, Majd A. Al‐HamalyiD, Caitlyn B. Smith, Ronald C. BruntziD, Jessica S. BlackburniD
Abstract
Pediatric diffuse midline gliomas with the Histone 3 lysine 27-to-methionine mutation (H3K27M-pDMG) are aggressive brain tumors characterized by intrinsic resistance to radiation therapy, the current standard of care. These tumors exhibit significant intratumoral heterogeneity, with distinct subclonal populations likely contributing to therapy resistance. Emerging evidence suggests that small extracellular vesicles (sEV) mediate oncogenic signaling within glioma stem cell populations, yet their role under radiation-induced stress remains poorly understood. In this study, we characterized sEV uptake dynamics among H3K27M-pDMG tumor cells, identified key sEV surface proteins, and demonstrated that sEVs derived from radioresistant (RR) H3K27M-pDMG cells confer radioprotective effects on radiosensitive tumor cells. Molecular profiling revealed that RR-sEVs carry proteins, microRNAs (miRNAs), and metabolites associated with glycolysis, oxidative phosphorylation, and DNA repair. Upon uptake, RR-sEVs reprogrammed recipient cells by altering gene expression and metabolic pathways, and enhancing DNA repair and survival following radiation exposure. These findings provide insights into the role of sEV-mediated intratumoral communication as a contributor to radiation resistance in H3K27M-pDMG and suggest potential therapeutic strategies to disrupt this process and enhance radiation efficacy.
- organism: human
- assay: proteomics
- assay: metabolomics
- assay: multiome
- research focus: cell-cell communication
- research focus: cancer & tumor microenvironment
- research focus: drug response / drug discovery
- approach: experimental assay
- Citations
- 6
- FWCI
- 1.80
- Field percentile
- top 15%
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