CSF extracellular vesicle RNAs as biomarkers in gliomas
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14110%2F25%3A00144758" target="_blank" >RIV/00216224:14110/25:00144758 - isvavai.cz</a>
Výsledek na webu
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DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
CSF extracellular vesicle RNAs as biomarkers in gliomas
Popis výsledku v původním jazyce
Background: Gliomas are aggressive brain tumors with poor prognosis, often developing resistance to therapies such as radiotherapy. Non-invasive biomarkers are urgently needed to improve diagnosis and monitoring, and microRNAs (miRNAs) in cerebrospinal fluid (CSF) extracellular vesicles (EVs) represent a promising source that may reflect tumor biology. Methods: EVs were isolated from CSF of 100 glioma patients (56 IDH-wildtype glioblastomas, 28 other high-grade, 16 low-grade). After evaluating three RNA extraction kits, the highest-yielding kit (Qiagen miRNeasy) was used for small RNA sequencing. Expression profiles of EV miRNAs were compared across glioma subtypes. Results: The Qiagen kit produced the highest EV RNA yield and library quality, enabling robust small RNA sequencing. EV miRNA profiling identified multiple abundant miRNAs with oncogenic (miR-21-5p), tumor-suppressive (miR-204-5p), or dual roles (miR-16-5p, let-7 family). EV miRNA profiles differed by tumor grade: high-grade tumors had elevated oncomiRs (e.g., miR-21-5p), whereas low-grade tumors showed higher levels of tumor-suppressive let-7 miRNAs. Some of these miRNAs are implicated in radioresistance. Conclusions: CSF EV miRNA profiling is a feasible, non-invasive approach for glioma biomarker discovery. The EV miRNA signatures distinguish glioma subtypes and may provide insight into molecular drivers of tumor progression and therapy resistance, including radioresistance. EV miRNAs could serve as novel biomarkers and therapeutic targets, informing neurosurgical patient stratification and personalized treatment.
Název v anglickém jazyce
CSF extracellular vesicle RNAs as biomarkers in gliomas
Popis výsledku anglicky
Background: Gliomas are aggressive brain tumors with poor prognosis, often developing resistance to therapies such as radiotherapy. Non-invasive biomarkers are urgently needed to improve diagnosis and monitoring, and microRNAs (miRNAs) in cerebrospinal fluid (CSF) extracellular vesicles (EVs) represent a promising source that may reflect tumor biology. Methods: EVs were isolated from CSF of 100 glioma patients (56 IDH-wildtype glioblastomas, 28 other high-grade, 16 low-grade). After evaluating three RNA extraction kits, the highest-yielding kit (Qiagen miRNeasy) was used for small RNA sequencing. Expression profiles of EV miRNAs were compared across glioma subtypes. Results: The Qiagen kit produced the highest EV RNA yield and library quality, enabling robust small RNA sequencing. EV miRNA profiling identified multiple abundant miRNAs with oncogenic (miR-21-5p), tumor-suppressive (miR-204-5p), or dual roles (miR-16-5p, let-7 family). EV miRNA profiles differed by tumor grade: high-grade tumors had elevated oncomiRs (e.g., miR-21-5p), whereas low-grade tumors showed higher levels of tumor-suppressive let-7 miRNAs. Some of these miRNAs are implicated in radioresistance. Conclusions: CSF EV miRNA profiling is a feasible, non-invasive approach for glioma biomarker discovery. The EV miRNA signatures distinguish glioma subtypes and may provide insight into molecular drivers of tumor progression and therapy resistance, including radioresistance. EV miRNAs could serve as novel biomarkers and therapeutic targets, informing neurosurgical patient stratification and personalized treatment.
Klasifikace
Druh
O - Ostatní výsledky
CEP obor
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OECD FORD obor
30212 - Surgery
Návaznosti výsledku
Projekt
Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2025
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů