P.099 Transfer RNA fragments in patient plasma extracellular vesicles as biomarkers of high grade glioma

Background: High-grade gliomas (HGG) present challenges with short post-surgery survival and high progression rates. Extracellular vesicles (EVs) in the tumor microenvironment (TME) contribute to a pro-tumorigenic setting. Investigating Transfer RNA fragments (TfRNA) in HGG patient plasma EVs reveal...

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Veröffentlicht in:Canadian journal of neurological sciences 2024-06, Vol.51 (s1), p.S43-S43
Hauptverfasser: Phinney, T, Alwadei, A, Han, J, Attwood, K, MacNeil, M, Wajnberg, G, Roy, J, Weeks, A
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Sprache:eng
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Zusammenfassung:Background: High-grade gliomas (HGG) present challenges with short post-surgery survival and high progression rates. Extracellular vesicles (EVs) in the tumor microenvironment (TME) contribute to a pro-tumorigenic setting. Investigating Transfer RNA fragments (TfRNA) in HGG patient plasma EVs reveals potential biomarkers and therapeutic targets, shedding light on the molecular landscape for enhanced diagnostic and therapeutic strategies. This study examines TfRNA in 10 HGG patients at diagnosis, offering insights into the molecular landscape for improved management strategies. Methods: The study involved the collection of plasma samples from HGG patients and controls. EVs were isolated from these samples and subsequently analyzed for tfRNA. Results: Analysis of plasma EVs highlighted distinct differences in TfRNA fragments between High-Grade Glioma (HGG) and control samples. HGG EVs showed a global reduction in tRNA content, higher 5’ tfRNA proportions, and increased nuclear tfrna compared to controls. A notable biological marker, elevated in HGG, holds potential as a diagnostic indicator. Conclusions: Our study concludes that High-Grade Gliomas (HGG) demonstrate a global reduction in tfRNA content in plasma extracellular vesicles compared to non-cancer controls, echoing findings in other cancers. Despite this, specific tfRNA molecules in HGG show significant differential expression or sorting into EVs, indicating their potential as future biomarkers or therapeutic targets.
ISSN:0317-1671
2057-0155
DOI:10.1017/cjn.2024.203