BIOM-53. SPECIFIC MICRORNA EXPRESSION PATTERN PREDICTS RECURRENCE IN ATYPICAL MENINGIOMA

Abstract Meningiomas are the most common primary tumors of central nervous system (CNS). Atypical meningioma (AM) recurs in 40% patients despite total resection and radiotherapy (RT). No consensus on optimal adjuvant management was found, it is difficult to identify insensitive RT real-life clinical practice. A promising group biomarkers represent microRNAs (miRNAs), short non-coding RNAs that regulate biological processes, including cell proliferation, differentiation, apoptosis. The study aims tissue miRNAs capable predicting with AM who could benefit from indicated RT. includes 80 exploratory phase 400 validation phase. Total RNA enriched isolated FFPE using mirVana miRNA Isolation Kit (TF Scientific). Subsequently, quantity quality controls were measured NanoDrop 2000 Scientific) Qubit 2.0 instruments. global expression profile generated TaqMan Array Human MicroRNA Cards Scientific), which allow detection up 754 simultaneously. Obtained data processed integrated through bioinformatics algorithms clinicopathological AM.The identified significantly dysregulated among without recurrence (p < 0.05). Results also suggest did/did not develop a Lists individual detailed graphical analyses will be included conference presentation.The results help predict prognosis surgically intervened more accurately can determine This research supported by AZV grant Ministry Health Czech Republic (reg. No. NV19-03-00559) Conceptual development organization (FNBr, 65269705). All rights reserved.