Featured Publications
Longitudinal analysis of treatment-induced genomic alterations in gliomas
Erson-Omay EZ, Henegariu O, Omay SB, Harmancı AS, Youngblood MW, Mishra-Gorur K, Li J, Özduman K, Carrión-Grant G, Clark VE, Çağlar C, Bakırcıoğlu M, Pamir MN, Tabar V, Vortmeyer AO, Bilguvar K, Yasuno K, DeAngelis LM, Baehring JM, Moliterno J, Günel M. Longitudinal analysis of treatment-induced genomic alterations in gliomas. Genome Medicine 2017, 9: 12. PMID: 28153049, PMCID: PMC5290635, DOI: 10.1186/s13073-017-0401-9.Peer-Reviewed Original ResearchMeSH KeywordsAntineoplastic AgentsChromosome AberrationsCombined Modality TherapyDisease ProgressionDNA Mismatch RepairDNA Mutational AnalysisDNA, NeoplasmExomeFemaleGeneral SurgeryGenome, HumanGenomicsGlioblastomaHumansImmunotherapyLongitudinal StudiesMiddle AgedMutationNeoplasm Recurrence, LocalPrecision MedicineRadiotherapyTreatment OutcomeConceptsWhole-exome sequencingMismatch repair deficiencyImmune checkpoint inhibitionMalignant brain tumorsMolecular changesLongitudinal analysisMedian survivalCheckpoint inhibitionSubsequent recurrenceMaximal resectionStandard treatmentBackgroundGlioblastoma multiformeBrain tumorsTumor-normal pairsFavorable responsePrimary GBMIndividual tumorsConclusionsOur studyPrecision therapyPersonalized treatmentGenomic profilingRepair deficiencyGenomic alterationsGenomic profilesTherapy
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
2017
Use of telomerase promoter mutations to mark specific molecular subsets with reciprocal clinical behavior in IDH mutant and IDH wild-type diffuse gliomas.
Akyerli CB, Yüksel Ş, Can Ö, Erson-Omay EZ, Oktay Y, Coşgun E, Ülgen E, Erdemgil Y, Sav A, von Deimling A, Günel M, Yakıcıer MC, Pamir MN, Özduman K. Use of telomerase promoter mutations to mark specific molecular subsets with reciprocal clinical behavior in IDH mutant and IDH wild-type diffuse gliomas. Journal Of Neurosurgery 2017, 128: 1102-1114. PMID: 28621624, DOI: 10.3171/2016.11.jns16973.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAge FactorsAgedAged, 80 and overBrain NeoplasmsCohort StudiesDNA Mutational AnalysisFemaleGenetic MarkersGliomaHumansIsocitrate DehydrogenaseKaplan-Meier EstimateKi-67 AntigenMaleMiddle AgedMutationPromoter Regions, GeneticSurvival AnalysisTelomeraseTreatment OutcomeYoung AdultConceptsMolecular subsetsIDH-wt gliomasIDH wild-type diffuse gliomasDiffuse gliomasIDH-mut gliomasClinical behaviorTERTp-mutHigh Ki-67 labeling indexKi-67 labeling indexDouble-negative subsetObjective Recent studiesClinical tumor behaviorDifferent tumor biologySpecific molecular subsetsTERT promoter mutationsEpidermal growth factor receptorTensin homolog (PTEN) mutationsTelomerase promoter mutationsCumulative followGrowth factor receptorSurgical cohortMalignant degenerationClinical parametersHistopathological diagnosisCombined status