Featured Publications
Genomic Analysis of Non-NF2 Meningiomas Reveals Mutations in TRAF7, KLF4, AKT1, and SMO
Clark VE, Erson-Omay EZ, Serin A, Yin J, Cotney J, Özduman K, Avşar T, Li J, Murray PB, Henegariu O, Yilmaz S, Günel JM, Carrión-Grant G, Yılmaz B, Grady C, Tanrıkulu B, Bakırcıoğlu M, Kaymakçalan H, Caglayan AO, Sencar L, Ceyhun E, Atik AF, Bayri Y, Bai H, Kolb LE, Hebert RM, Omay SB, Mishra-Gorur K, Choi M, Overton JD, Holland EC, Mane S, State MW, Bilgüvar K, Baehring JM, Gutin PH, Piepmeier JM, Vortmeyer A, Brennan CW, Pamir MN, Kılıç T, Lifton RP, Noonan JP, Yasuno K, Günel M. Genomic Analysis of Non-NF2 Meningiomas Reveals Mutations in TRAF7, KLF4, AKT1, and SMO. Science 2013, 339: 1077-1080. PMID: 23348505, PMCID: PMC4808587, DOI: 10.1126/science.1233009.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overBrain NeoplasmsChromosomes, Human, Pair 22DNA Mutational AnalysisFemaleGenes, Neurofibromatosis 2Genomic InstabilityGenomicsHumansKruppel-Like Factor 4Kruppel-Like Transcription FactorsMaleMeningeal NeoplasmsMeningiomaMiddle AgedMutationNeoplasm GradingProto-Oncogene Proteins c-aktReceptors, G-Protein-CoupledSmoothened ReceptorTumor Necrosis Factor Receptor-Associated Peptides and ProteinsRecurrent somatic mutations in POLR2A define a distinct subset of meningiomas
Clark VE, Harmancı AS, Bai H, Youngblood MW, Lee TI, Baranoski JF, Ercan-Sencicek AG, Abraham BJ, Weintraub AS, Hnisz D, Simon M, Krischek B, Erson-Omay EZ, Henegariu O, Carrión-Grant G, Mishra-Gorur K, Durán D, Goldmann JE, Schramm J, Goldbrunner R, Piepmeier JM, Vortmeyer AO, Günel JM, Bilgüvar K, Yasuno K, Young RA, Günel M. Recurrent somatic mutations in POLR2A define a distinct subset of meningiomas. Nature Genetics 2016, 48: 1253-1259. PMID: 27548314, PMCID: PMC5114141, DOI: 10.1038/ng.3651.Peer-Reviewed Original ResearchCatalytic DomainChromosomes, Human, Pair 22Cohort StudiesDNA Mutational AnalysisEnhancer Elements, GeneticExomeGene Expression Regulation, NeoplasticGenotypeHumansKruppel-Like Factor 4Kruppel-Like Transcription FactorsMeningeal NeoplasmsMeningiomaMutationNeurofibromin 2RNA Polymerase IITumor Necrosis Factor Receptor-Associated Peptides and ProteinsIntegrated genomic analyses of de novo pathways underlying atypical meningiomas
Harmancı AS, Youngblood MW, Clark VE, Coşkun S, Henegariu O, Duran D, Erson-Omay EZ, Kaulen LD, Lee TI, Abraham BJ, Simon M, Krischek B, Timmer M, Goldbrunner R, Omay SB, Baranoski J, Baran B, Carrión-Grant G, Bai H, Mishra-Gorur K, Schramm J, Moliterno J, Vortmeyer AO, Bilgüvar K, Yasuno K, Young RA, Günel M. Integrated genomic analyses of de novo pathways underlying atypical meningiomas. Nature Communications 2017, 8: 14433. PMID: 28195122, PMCID: PMC5316884, DOI: 10.1038/ncomms14433.Peer-Reviewed Original ResearchMeSH KeywordsBinding SitesBrain NeoplasmsCell Transformation, NeoplasticChromosomal InstabilityCluster AnalysisDNA MethylationE2F2 Transcription FactorEnhancer of Zeste Homolog 2 ProteinEpigenomicsExomeForkhead Box Protein M1Gene Expression ProfilingGene Expression Regulation, NeoplasticGene Regulatory NetworksGene SilencingGenes, Neurofibromatosis 2GenomeGenomicsGenotyping TechniquesHuman Embryonic Stem CellsHumansJumonji Domain-Containing Histone DemethylasesMeningeal NeoplasmsMeningiomaMolecular Probe TechniquesMutationPhenotypePolycomb Repressive Complex 2Promoter Regions, GeneticRNA, MessengerSequence AnalysisSignal TransductionSMARCB1 ProteinTranscriptomeConceptsPolycomb repressive complex 2Human embryonic stem cellsRepressive complex 2Integrated genomic analysisEmbryonic stem cellsDe novo pathwayH3K27me3 signalsTranscriptional networksPRC2 complexEpigenomic analysisCellular statesCatalytic subunitGenomic analysisGenomic instabilityHypermethylated phenotypeGenomic landscapeNovo pathwayDisplay lossStem cellsPotential therapeutic targetExhibit upregulationPromoter mutationsTherapeutic targetMutationsComplexes 2
2022
Hormone therapies in meningioma-where are we?
Miyagishima D, Moliterno J, Claus E, Günel M. Hormone therapies in meningioma-where are we? Journal Of Neuro-Oncology 2022, 161: 297-308. PMID: 36418843, PMCID: PMC10371392, DOI: 10.1007/s11060-022-04187-1.Peer-Reviewed Original ResearchConceptsPositive receptor statusReceptor statusSomatostatin analoguesClinical trialsHormone-related risk factorsMajority of patientsNIH Clinical Trials DatabaseClinical trials databasesStratification of patientsHormone therapyTrials databasesFuture trialsHormonal agentsSpecific therapyRisk factorsSomatostatin receptorsInclusion criteriaMEDLINE-PubMedMeningioma growthMost meningiomasTherapeutic potentialMeningiomasPatientsTherapyTrialsGenomic profiling of sporadic multiple meningiomas
Erson-Omay EZ, Vetsa S, Vasandani S, Barak T, Nadar A, Marianayagam NJ, Yalcin K, Miyagishima D, Aguilera SM, Robert S, Mishra-Gorur K, Fulbright RK, McGuone D, Günel M, Moliterno J. Genomic profiling of sporadic multiple meningiomas. BMC Medical Genomics 2022, 15: 112. PMID: 35568945, PMCID: PMC9107270, DOI: 10.1186/s12920-022-01258-0.Peer-Reviewed Original ResearchConceptsGrade IComprehensive next-generation sequencingMonoclonal originClinical management strategiesPrior radiation exposureRelevant clinical dataMajority of tumorsInter-tumoral heterogeneitySurgical resectionClinical behaviorGrade IIClinical dataFamily historyMultiple meningiomasGrade I.Same patientMonoclonal expansionPatientsClonal formationBilateral meningiomasMeningiomasIndividual tumorsTumorsPatient behavesGenomic profiling
2021
The integrated multiomic diagnosis of sporadic meningiomas: a review of its clinical implications
Robert SM, Vetsa S, Nadar A, Vasandani S, Youngblood MW, Gorelick E, Jin L, Marianayagam N, Erson-Omay EZ, Günel M, Moliterno J. The integrated multiomic diagnosis of sporadic meningiomas: a review of its clinical implications. Journal Of Neuro-Oncology 2021, 156: 205-214. PMID: 34846640, PMCID: PMC8816740, DOI: 10.1007/s11060-021-03874-9.Peer-Reviewed Original ResearchType of bony involvement predicts genomic subgroup in sphenoid wing meningiomas
Jin L, Youngblood MW, Gupte TP, Vetsa S, Nadar A, Barak T, Yalcin K, Aguilera SM, Mishra-Gorur K, Blondin NA, Gorelick E, Omay SB, Pointdujour-Lim R, Judson BL, Alperovich M, Aboian MS, McGuone D, Gunel M, Erson-Omay Z, Fulbright RK, Moliterno J. Type of bony involvement predicts genomic subgroup in sphenoid wing meningiomas. Journal Of Neuro-Oncology 2021, 154: 237-246. PMID: 34350560, DOI: 10.1007/s11060-021-03819-2.Peer-Reviewed Original ResearchConceptsSpheno-orbital meningiomasSphenoid wing meningiomaBony involvementTRAF7 mutationsGenomic subgroupsPre-operative clinical featuresTumor invasionYale-New Haven HospitalAdditional clinical variablesSubset of tumorsPre-operative predictionWhole-exome sequencingBone involvementBone invasionClinical featuresClinical variablesGrade IIMolecular subtypesRecurrence patternsClinical implicationsHyperostosisExome sequencingMeningiomasTumorsGenomic driversTargeting the CSF1/CSF1R axis is a potential treatment strategy for malignant meningiomas
Yeung J, Yaghoobi V, Miyagishima D, Vesely MD, Zhang T, Badri T, Nassar A, Han X, Sanmamed MF, Youngblood M, Peyre M, Kalamarides M, Rimm DL, Gunel M, Chen L. Targeting the CSF1/CSF1R axis is a potential treatment strategy for malignant meningiomas. Neuro-Oncology 2021, 23: 1922-1935. PMID: 33914067, PMCID: PMC8563319, DOI: 10.1093/neuonc/noab075.Peer-Reviewed Original ResearchConceptsColony-stimulating factor-1Myeloid cellsMalignant meningiomasTumor microenvironmentCSF1/CSF1RRNA-seqRNA sequencingHuman meningiomasImmune subsetsGene expressionT cellsTreatment strategiesNormalization cancer immunotherapyImportant regulatorCell typesNovel immunocompetent murine modelDeath ligand 1 (PD-L1) expressionCell death receptor-1Immunosuppressive myeloid cellsDeath receptor-1Ligand 1 expressionFactor 1Immune cell typesImmunocompetent murine modelEffective treatment strategiesSpatially Resolved and Quantitative Analysis of the Immunological Landscape in Human Meningiomas
Yeung J, Yaghoobi V, Aung TN, Vesely MD, Zhang T, Gaule P, Gunel M, Rimm DL, Chen L. Spatially Resolved and Quantitative Analysis of the Immunological Landscape in Human Meningiomas. Journal Of Neuropathology & Experimental Neurology 2021, 80: 150-159. PMID: 33393633, DOI: 10.1093/jnen/nlaa152.Peer-Reviewed Original ResearchConceptsPD-L1 expressionT cell infiltrationPD-L1PD-L2Human meningiomasTumor-infiltrating immune cell populationsHigh PD-L1 expressionT-cell activation/proliferationActivation/dysfunctionLevels of CD3Immune cell subsetsT-cell phenotypeImmune cell populationsHigh-grade tumorsActivation/proliferationHigher CD3TIL infiltrationCD8 ratioImmunotherapeutic strategiesCell subsetsImmunological statusGrade tumorsImmunological landscapeTissue microarrayMacrophage phenotype
2020
Associations of meningioma molecular subgroup and tumor recurrence
Youngblood MW, Miyagishima DF, Jin L, Gupte T, Li C, Duran D, Montejo JD, Zhao A, Sheth A, Tyrtova E, Özduman K, Iacoangeli F, Peyre M, Boetto J, Pease M, Avşar T, Huttner A, Bilguvar K, Kilic T, Pamir MN, Amankulor N, Kalamarides M, Erson-Omay EZ, Günel M, Moliterno J. Associations of meningioma molecular subgroup and tumor recurrence. Neuro-Oncology 2020, 23: 783-794. PMID: 33068421, PMCID: PMC8099468, DOI: 10.1093/neuonc/noaa226.Peer-Reviewed Original ResearchConceptsDivergent clinical coursesMolecular subgroupsClinical courseClinical outcomesProgression-free survivalExtent of resectionKaplan-Meier analysisLong-term outcomesLow-grade tumorsCox proportional hazardsDistinct clinical outcomesPostoperative radiationIndependent predictorsMale sexRecurrence rateSurveillance imagingTumor recurrencePrevious recurrencesClinical prognosticationKi-67Outcome dataAggressive subgroupRecurrenceElevated recurrenceProportional hazardsChapter 6 Molecular genetics of meningiomas
Youngblood MW, Günel M. Chapter 6 Molecular genetics of meningiomas. Handbook Of Clinical Neurology 2020, 169: 101-119. PMID: 32553282, DOI: 10.1016/b978-0-12-804280-9.00006-8.Peer-Reviewed Original ResearchConceptsMolecular mechanismsNext-generation sequencing techniquesComprehensive genomic studiesRecent genomic findingsGenomic studiesPotential molecular therapyMolecular geneticsSequencing techniquesGenomic pathwayOncogenic pathwaysNumber eventsGenomic findingsDriver mutationsMutationsBasic science investigatorsPathwayMolecular therapyImportant insightsEmbryological originCommon brain tumorMolecular subgroupsGeneticsTumorigenesisMechanismProgression