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
2023
Application of novel PACS-based informatics platform to identify imaging based predictors of CDKN2A allelic status in glioblastomas
Tillmanns N, Lost J, Tabor J, Vasandani S, Vetsa S, Marianayagam N, Yalcin K, Erson-Omay E, von Reppert M, Jekel L, Merkaj S, Ramakrishnan D, Avesta A, de Oliveira Santo I, Jin L, Huttner A, Bousabarah K, Ikuta I, Lin M, Aneja S, Turowski B, Aboian M, Moliterno J. Application of novel PACS-based informatics platform to identify imaging based predictors of CDKN2A allelic status in glioblastomas. Scientific Reports 2023, 13: 22942. PMID: 38135704, PMCID: PMC10746716, DOI: 10.1038/s41598-023-48918-4.Peer-Reviewed Original ResearchConceptsInformatics platformDeep learning algorithmsImaging featuresCDKN2A alterationsLearning algorithmHeterozygous lossHomozygous deletionLarge datasetsDeep white matter invasionGBM molecular subtypesNew informaticsQualitative imaging biomarkersWhole-exome sequencingQualitative imaging featuresGBM resectionRadiographic evidenceWorse prognosisPACSMolecular subtypesPial invasionImaging biomarkersCDKN2A mutationsAllele statusNoninvasive identificationMagnetic resonance images
2019
DNMT3A co-mutation in an IDH1-mutant glioblastoma
Fomchenko EI, Erson-Omay EZ, Zhao A, Bindra RS, Huttner A, Fulbright RK, Moliterno J. DNMT3A co-mutation in an IDH1-mutant glioblastoma. Molecular Case Studies 2019, 5: a004119. PMID: 31371348, PMCID: PMC6672028, DOI: 10.1101/mcs.a004119.Peer-Reviewed Original ResearchMeSH KeywordsAdultBiomarkers, TumorBrain NeoplasmsDNA (Cytosine-5-)-MethyltransferasesDNA MethylationDNA Methyltransferase 3ADNA Modification MethylasesEpigenesis, GeneticGene Expression ProfilingGene Expression Regulation, NeoplasticGlioblastomaGliomaHumansIsocitrate DehydrogenaseMaleMutationMutation, MissensePromoter Regions, GeneticConceptsIDH1-mutant glioblastomaEpigenetic controlHistone modificationsTranscriptional regulationDNA methylationExpression profilesGlioblastoma biologySomatic mutationsDe novoMutationsMutant glioblastomasTumor landscapeMutational profileTargeted therapeutic approachesGlioblastomaImportant roleMethylationDNMT3ABiologyGliomagenesisMissenseRegulationNovoPrimary brain tumorsTherapeutic approaches