2021
Type 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 drivers
2020
Clinical and genomic factors associated with seizures in meningiomas.
Gupte TP, Li C, Jin L, Yalcin K, Youngblood MW, Miyagishima DF, Mishra-Gorur K, Zhao AY, Antonios J, Huttner A, McGuone D, Blondin NA, Contessa JN, Zhang Y, Fulbright RK, Gunel M, Erson-Omay Z, Moliterno J. Clinical and genomic factors associated with seizures in meningiomas. Journal Of Neurosurgery 2020, 135: 835-844. PMID: 33276341, DOI: 10.3171/2020.7.jns201042.Peer-Reviewed Original ResearchPreoperative seizuresPostoperative seizuresAtypical histologyMultivariate analysisWorse progression-free survivalGenomic subgroupsYale-New Haven HospitalAssociation of seizuresAntiepileptic drug useProgression-free survivalSeizure-free patientsGross total resectionExtent of resectionMultiple risk factorsNF2 mutationsNew Haven HospitalLogistic regression modelsPostoperative radiationSeizure freedomClinical courseSeizure presentationSomatic NF2 mutationsBrain invasionRecurrent tumorsRisk factors
2019
Correlations between genomic subgroup and clinical features in a cohort of more than 3000 meningiomas.
Youngblood MW, Duran D, Montejo JD, Li C, Omay SB, Özduman K, Sheth AH, Zhao AY, Tyrtova E, Miyagishima DF, Fomchenko EI, Hong CS, Clark VE, Riche M, Peyre M, Boetto J, Sohrabi S, Koljaka S, Baranoski JF, Knight J, Zhu H, Pamir MN, Avşar T, Kilic T, Schramm J, Timmer M, Goldbrunner R, Gong Y, Bayri Y, Amankulor N, Hamilton RL, Bilguvar K, Tikhonova I, Tomak PR, Huttner A, Simon M, Krischek B, Kalamarides M, Erson-Omay EZ, Moliterno J, Günel M. Correlations between genomic subgroup and clinical features in a cohort of more than 3000 meningiomas. Journal Of Neurosurgery 2019, 133: 1345-1354. PMID: 31653806, DOI: 10.3171/2019.8.jns191266.Peer-Reviewed Original ResearchClinical featuresGenomic subgroupsExact testAnterior skull base regionElevated Ki-67 indexLarge peritumoral brain edemaPeritumoral brain edemaKi-67 indexModerate predictive valueFisher's exact testRelevant clinical informationMicrocystic featuresNF2 meningiomasInvasive sampling proceduresMale patientsBrain edemaFemale sexTumor locationPatient variablesDiscovery cohortSkull base regionMidline locationPatient featuresClinical informationPredictive value