2024
EPCO-35. GENOMIC CHARACTERIZATION OF GROWTH HORMONE SECRETING PITUITARY ADENOMAS
Alanya H, Yalcin K, Hilton B, Gultekin B, Mishra-Gorur K, McGuone D, Gunel M, Omay S, Erson-Omay Z. EPCO-35. GENOMIC CHARACTERIZATION OF GROWTH HORMONE SECRETING PITUITARY ADENOMAS. Neuro-Oncology 2024, 26: viii9-viii9. PMCID: PMC11553213, DOI: 10.1093/neuonc/noae165.0034.Peer-Reviewed Original ResearchGH-secreting pituitary adenomasWhole-exome sequencingPituitary adenomasGNAS mutationsCopy number variationsSporadic GH-secreting pituitary adenomasGrowth hormone (GH)-secreting pituitary adenomasGenomic profilingGrowth hormone secreting pituitary adenomaSecreting pituitary adenomasBlood samplesComprehensive genomic characterizationSomatic GNAS mutationsSingle nucleotide variantsMatched blood samplesGenomic instabilityAssessment of genomic instabilityStatistically significant differenceTumor sizeClinical featuresTumor samplesClinical dataTumorExome sequencingBrain tumors
2021
NIMG-64. TYPE OF BONY INVOLVEMENT PREDICTS GENOMIC SUBGROUP IN SPHENOID WING MENINGIOMAS
Jin L, Youngblood M, Gupte T, Vetsa S, Nadar A, Barak T, Yalcin K, Aguilera S, Mishra-Gorur K, Blondin N, Omay S, Pointdujour-Lim R, Judson B, Alperovich M, Aboian M, McGuone D, Gunel M, Erson-Omay Z, Fulbright R, Moliterno J. NIMG-64. TYPE OF BONY INVOLVEMENT PREDICTS GENOMIC SUBGROUP IN SPHENOID WING MENINGIOMAS. Neuro-Oncology 2021, 23: vi144-vi144. PMCID: PMC8598770, DOI: 10.1093/neuonc/noab196.562.Peer-Reviewed Original ResearchSphenoid wing meningiomaSpheno-orbital meningiomasBony involvementTRAF7 mutationsTumor invasionGenomic subgroupsPre-operative clinical featuresYale-New Haven HospitalAdditional clinical variablesSubset of tumorsPre-operative predictionLogistic regression modelsWhole-exome sequencingClinical featuresClinical variablesGrade IIPredictive logistic regression modelRecurrence patternsMolecular subtypesClinical implicationsExome sequencingHyperostosisMeningiomasTumorsGenomic driversType 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
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
2015
Somatic POLE mutations cause an ultramutated giant cell high-grade glioma subtype with better prognosis
Erson-Omay EZ, Çağlayan AO, Schultz N, Weinhold N, Omay SB, Özduman K, Köksal Y, Li J, Serin Harmancı A, Clark V, Carrión-Grant G, Baranoski J, Çağlar C, Barak T, Coşkun S, Baran B, Köse D, Sun J, Bakırcıoğlu M, Moliterno Günel J, Pamir MN, Mishra-Gorur K, Bilguvar K, Yasuno K, Vortmeyer A, Huttner AJ, Sander C, Günel M. Somatic POLE mutations cause an ultramutated giant cell high-grade glioma subtype with better prognosis. Neuro-Oncology 2015, 17: 1356-1364. PMID: 25740784, PMCID: PMC4578578, DOI: 10.1093/neuonc/nov027.Peer-Reviewed Original ResearchConceptsHigh-grade gliomasSomatic POLE mutationsPOLE mutationsMalignant high-grade gliomasLonger progression-free survivalProgression-free survivalSomatic mutationsOverall survivalPediatric patientsBetter prognosisClinical featuresImproved prognosisClinical behaviorImmune cellsBizarre cellsAggressive formGlioblastoma multiformeDisease pathophysiologyMolecular subgroupsHomozygous germline mutationGermline mutationsPrognosisGlioma subtypesComprehensive genomic analysisDistinct subgroups