Similar Datasets
Project description:Single-cell RNA sequencing of human meningioma
| PRJNA981185 | ENA
Project description:Meningiomas are the most common primary intracranial tumors and are associated with inactivation of the tumor suppressor NF2/Merlin, but one-third of meningiomas retain Merlin expression and typically have favorable clinical outcomes. Biochemical mechanisms underlying Merlin-intact meningioma growth are incompletely understood, and non-invasive biomarkers that predict meningioma outcomes and could be used to guide treatment de-escalation or imaging surveillance of Merlin-intact meningiomas are lacking. Here we integrate single-cell RNA sequencing, proximity-labeling proteomic mass spectrometry, mechanistic and functional approaches, and magnetic resonance imaging (MRI) across meningioma cells, xenografts, and human patients to define biochemical mechanisms and an imaging biomarker that distinguish Merlin-intact meningiomas with favorable clinical outcomes from meningiomas with unfavorable clinical outcomes. We find Merlin drives meningioma Wnt signaling and tumor growth through a feed-forward mechanism that requires Merlin dephosphorylation on serine 13 (S13) to attenuate inhibitory interactions with β-catenin and activate the Wnt pathway. Meningioma MRI analyses of xenografts and human patients show Merlin-intact meningiomas with S13 phosphorylation and favorable clinical outcomes are associated with high apparent diffusion coefficient (ADC) on diffusionweighted imaging. In sum, our results shed light on Merlin posttranslational modifications that regulate meningioma Wnt signaling and tumor growth in tumors without NF2/Merlin inactivation. To translate these findings to clinical practice, we establish a non-invasive imaging biomarker that could be used to guide treatment de-escalation or imaging surveillance for patients with favorable meningiomas.
2024-07-04 | PXD053578 | Pride
Project description:Multiple stereotatically separate sites from human meningioma were processed for methlyation profiling Meningiomas are the most common primary intracranial tumors, but the molecular drivers of meningioma tumorigenesis are poorly understood. We hypothesized that investigating intratumor heterogeneity in meningiomas would elucidate biologic drivers and reveal new targets for molecular therapy. To test this hypothesis, we performed multiplatform molecular profiling of 86 spatially-distinct samples from 13 human meningiomas. Our data reveal that regional alterations in chromosome structure underlie clonal transcriptomic, epigenomic, and histopathologic signatures in meningioma. Stereotactic co-registration of sample coordinates to preoperative magnetic resonance images further demonstrated that high apparent diffusion coefficient (ADC) distinguished meningioma regions with proliferating cells enriched for developmental gene expression programs. To understand the function of these genes in meningioma, we developed a human cerebral organoid model of meningioma and validated the high ADC marker genes CDH2 and PTPRZ1 as potential targets for meningioma therapy using live imaging, single cell RNA sequencing, CRISPR interference, and pharmacology.
2020-06-17 | GSE151067 | GEO
Project description:We report DNA methylation profiling on 565 meningiomas integrated with genetic, transcriptomic, biochemical, proteomic, and single-cell approaches to show meningiomas are comprised of 3 groups with distinct clinical outcomes, biological drivers, and therapeutic vulnerabilities. Merlin-intact meningiomas have the best outcomes and are distinguished by NF2/Merlin regulation of glucocorticoid signaling, apoptosis, and susceptibility to cytotoxic therapy. Immune-enriched meningiomas have intermediate outcomes and are distinguished by immune infiltration, HLA expression, and lymphatic vessels. Hypermitotic meningiomas have the worst outcomes and are distinguished by convergent genetic and epigenetic mechanisms driving the cell cycle and resistance to cytotoxic therapy. Our results establish a framework for understanding meningioma biology, and provide a foundation for new meningioma treatments.
2022-01-10 | GSE183647 | GEO
Project description:We report genomic analysis of 300 meningiomas, the most common primary brain tumors, leading to the discovery of mutations in TRAF7, a proapoptotic E3 ubiquitin ligase, in nearly one-fourth of all meningiomas. Mutations in TRAF7 commonly occurred with a recurrent mutation (K409Q) in KLF4, a transcription factor known for its role in inducing pluripotency, or with AKT1(E17K), a mutation known to activate the PI3K pathway. SMO mutations, which activate Hedgehog signaling, were identified in ~5% of non-NF2 mutant meningiomas. These non-NF2 meningiomas were clinically distinctive-nearly always benign, with chromosomal stability, and originating from the medial skull base. In contrast, meningiomas with mutant NF2 and/or chromosome 22 loss were more likely to be atypical, showing genomic instability, and localizing to the cerebral and cerebellar hemispheres. Collectively, these findings identify distinct meningioma subtypes, suggesting avenues for targeted therapeutics. Analysis of meningioma gene expression data for each mutation subtype. Includes gene expression data from 75 unique meningiomas and 39 replicates.
2014-05-29 | E-GEOD-58037 | biostudies-arrayexpress
Project description:Comparison of the gene expression profiles with meningiomas of different grading. 24 primary meningioma cultures from surgical specimen were maintained to primary meningioma cultures.
2014-03-06 | E-GEOD-55609 | biostudies-arrayexpress
Project description:Meningiomas are the most common primary tumors of the central nervous system. The genetic landscape of the most common subtype of meningioma involves mutation or copy loss of the NF2 gene in approximately 50% of cases. Other recurrent canonical somatic mutations are present in ~40% of sporadic meningiomas and are not defined by NF2 inactivation. These genes include TRAF7, AKT1, SMO, and KLF4, among others. Tumors with KLF4 and TRAF7 mutations share a unique secretory phenotype, which is characterized by glandular lumina with secretory globules, and tend to cause disproportional peritumoral edema, which can cause severe medical and neurological complications in pre- and post-operative management. The K409Q mutation in KLF4 is found in ~15% of meningiomas. The mutated allele KLF4K409Q is the same in all affected patients and occurs together with TRAF7 missense mutations. The contribution of the meningioma-specific KLF4 mutation to tumorigenesis and mechanism of action is unknown. Chromatin immunoprecipitation DNA-sequencing (ChIP-seq) analysis was performed to investigate different DNA recognition sequences by ectopically expressed KLF4 and KLF4(K409Q) proteins in transiently transfected HEK293 cells.
2022-08-18 | GSE205920 | GEO
Project description:We report single-cell RNA sequencing of 57,114 cells from 8 meningioma samples and 2 dura samples, which are used to analyze the inter- and intra-meningioma heterogeneity across DNA methylation groups.
2022-01-10 | GSE183655 | GEO
Project description:RNA polymerase II mediates the transcription of all protein-coding genes in eukaryotic cells, a process that is fundamental to life. Genomic mutations in this enzyme have not been previously linked to any pathology in humans, a testament to its indispensable role in cell biology. Based on a combination of next-generation genomic analyses of 775 meningiomas, we report that recurrent somatic p.Gln403Lys or p.Leu438_His439del mutations in POLR2A, which encodes the catalytic subunit of RNA polymerase II, are sufficient to hijack this essential enzyme and drive neoplasia. POLR2A mutant tumors reveal dysregulation of key meningeal identity genes, including WNT6 and ZIC1/ZIC4. In addition to POLR2A, NF2, SMARCB1, TRAF7, KLF4, AKT1, PIK3CA and SMO, we also report somatic mutations in AKT3, PIK3R1, PRKAR1A, and SUFU in meningiomas. Our results identify a role for essential transcriptional machinery in driving tumorigenesis and define mutually exclusive meningioma subgroups with distinct clinical and pathological features. RNAseq data from 19 meningioma tumors representing major mutation groups (NF2/chr22 loss, POLR2A, KLF4/TRAF7, PI3K mutant)
2016-08-21 | E-GEOD-85133 | biostudies-arrayexpress
Project description:Our single-cell transcriptomic dataset exceeds the scale of previous efforts to systematically characterize meningioma. We identified CLU is tumor suppresser, also promote the anti-tumor capability of macrophage, that why CLU decreased in meningioma malignancy. HDACi may inhibit meningioma by increasing CLU expression. Therefore, promoting CLU expression maybe a great strategy for meningioma therapeutics.
2024-05-13 | GSE206647 | GEO