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
PPIL4 is essential for brain angiogenesis and implicated in intracranial aneurysms in humans
Barak T, Ristori E, Ercan-Sencicek AG, Miyagishima DF, Nelson-Williams C, Dong W, Jin SC, Prendergast A, Armero W, Henegariu O, Erson-Omay EZ, Harmancı AS, Guy M, Gültekin B, Kilic D, Rai DK, Goc N, Aguilera SM, Gülez B, Altinok S, Ozcan K, Yarman Y, Coskun S, Sempou E, Deniz E, Hintzen J, Cox A, Fomchenko E, Jung SW, Ozturk AK, Louvi A, Bilgüvar K, Connolly ES, Khokha MK, Kahle KT, Yasuno K, Lifton RP, Mishra-Gorur K, Nicoli S, Günel M. PPIL4 is essential for brain angiogenesis and implicated in intracranial aneurysms in humans. Nature Medicine 2021, 27: 2165-2175. PMID: 34887573, PMCID: PMC8768030, DOI: 10.1038/s41591-021-01572-7.Peer-Reviewed Original ResearchConceptsGenome-wide association studiesPeptidyl-prolyl cis-transPathogenesis of IAContribution of variantsCommon genetic variantsVertebrate modelDeleterious mutationsWnt activatorAssociation studiesWhole-exome sequencingSignificant enrichmentGenetic variantsWntAngiogenesis regulatorsMutationsGene mutationsBrain angiogenesisIntracranial aneurysm ruptureJMJD6AngiogenesisCerebrovascular morphologyCerebrovascular integrityIntracerebral hemorrhageAneurysm ruptureVariantsNIMG-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
2017
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