{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Baluszek S"],"funding":["National Science Centre, Poland"],"pagination":["3324"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12564510"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["17(20)"],"pubmed_abstract":["<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 "],"journal":["Cancers"],"pubmed_title":["Determining the Biological Features of Aggressive Meningioma Growth with Transcriptomic Profiling."],"pmcid":["PMC12564510"],"funding_grant_id":["2018/29/B/NZ5/02035"],"pubmed_authors":["Baluszek S","Ozieblo A","Bujko M","Mysliwy I","Kober P","Mandat T","Jezewski MP"],"additional_accession":[]},"is_claimable":false,"name":"Determining the Biological Features of Aggressive Meningioma Growth with Transcriptomic Profiling.","description":"<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 ","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Oct","modification":"2026-07-02T03:11:14.811Z","creation":"2026-07-02T03:08:48.947Z"},"accession":"S-EPMC12564510","cross_references":{"pubmed":["41154381"],"doi":["10.3390/cancers17203324"]}}