biostudies-literatureBaluszek SNational Science Centre, Poland3324https://www.ebi.ac.uk/biostudies/studies/S-EPMC12564510biostudies-literatureUnknown17(20)<b>Background</b>: Meningiomas are common intracranial tumors in adults. Most are benign WHO grade I (GI) tumors, while approximately 20% are diagnosed as more aggressive WHO grade II (GII) and grade III (GIII) meningiomas. The study aimed to identify genes with tumor grade-related expression and to assess their functional relevance. <b>Methods</b>: RNA sequencing (RNA-seq) was performed to analyze transcriptomes of benign meningothelial (<i>n</i> = 19) and fibrous (<i>n</i> = 11), atypical (<i>n</i> = 18) and anaplastic (<i>n</i> = 12) meningiomas. The data were analyzed for differential genes expression and Gene Set Enrichment Analysis (GSEA). A deposited scRNA-seq dataset was used to define meningioma cellular composition and cell type-specific gene expression enabling deconvolution of CancersDetermining the Biological Features of Aggressive Meningioma Growth with Transcriptomic Profiling.PMC125645102018/29/B/NZ5/02035Baluszek SOzieblo ABujko MMysliwy IKober PMandat TJezewski MPfalseDetermining the Biological Features of Aggressive Meningioma Growth with Transcriptomic Profiling.<b>Background</b>: Meningiomas are common intracranial tumors in adults. Most are benign WHO grade I (GI) tumors, while approximately 20% are diagnosed as more aggressive WHO grade II (GII) and grade III (GIII) meningiomas. The study aimed to identify genes with tumor grade-related expression and to assess their functional relevance. <b>Methods</b>: RNA sequencing (RNA-seq) was performed to analyze transcriptomes of benign meningothelial (<i>n</i> = 19) and fibrous (<i>n</i> = 11), atypical (<i>n</i> = 18) and anaplastic (<i>n</i> = 12) meningiomas. The data were analyzed for differential genes expression and Gene Set Enrichment Analysis (GSEA). A deposited scRNA-seq dataset was used to define meningioma cellular composition and cell type-specific gene expression enabling deconvolution of 2025-01-01T00:00:00Z2025 Oct2026-07-02T03:11:14.811Z2026-07-02T03:08:48.947ZS-EPMC125645104115438110.3390/cancers17203324