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HGG-19. IDENTIFICATION OF NOVEL SUBGROUP-SPECIFIC miRNA EXOSOMAL BIOMARKERS IN PEDIATRIC HIGH-GRADE GLIOMAS
- Source :
- Neuro-Oncology
- Publication Year :
- 2020
- Publisher :
- Oxford University Press, 2020.
-
Abstract
- Pediatric high-grade gliomas (pHGG) are heterogeneous brain tumors for which new specific diagnostic/prognostic biomarkers are needed. In this study, we aimed to identify new pHGG subgroup specific biomarkers by exploiting exosomes, known vehicles of oncogenic signals. We used plasma from 23 patients (including 6 controls) and conditioned medium from 12 patient-derived cell-lines, representing all locational and molecular subgroups. Upon exosome isolation, total RNA was extracted and miRNAs were assessed using a PCR Panel. Analysis of plasma miRNome showed that tumor exosomal samples were largely clustered together, independently from their locational and/or molecular subgroup. We identified 20 significantly upregulated and 25 downregulated miRNAs compared to controls. Interestingly, 27 miRNAs were expressed only in tumors. Furthermore, the unsupervised clustering showed a clear separation based on locational (hemispheric vs pontine) and mutational (WT vs H3.3G34R or H3.3G34R vs H3K27M) subgroup comparisons, with the identification of distinct miRNomes underlying the key role of location and mutations in defining the pHGG exosomal miRNA profile. This was further confirmed analyzing the miRNOme from cell-line derived exosomes. Moreover, we identified a pool of significantly differentially regulated miRNAs in diagnose vs relapse and biopsy vs autopsy cell-lines. Most importantly, when comparing hemispheric vs pontine and H3.3G34R vs H3.3K27M, we identified respectively four and three miRNas equally dysregulated and in common between plasma and cell-lines. Those were strongly associated mainly to transcriptional regulation and targeting TTC9, linked to cancer invasion and metastasis. Based on this, we suggest exosomal miRNAs as a powerful new pHGG diagnostic/prognostic tool.
Details
- Language :
- English
- ISSN :
- 15235866 and 15228517
- Volume :
- 22
- Issue :
- Suppl 3
- Database :
- OpenAIRE
- Journal :
- Neuro-Oncology
- Accession number :
- edsair.doi.dedup.....fa5328394d4fb5bb59477fe949d8f1c5