2024
NIMG-30. DEUTERIUM METABOLIC IMAGING (DMI) SHOWS A STRONG RELATION BETWEEN TUMOR GRADE AND GLUCOSE METABOLISM IN PRIMARY BRAIN TUMORS
Thaw-Poon S, Blondin N, Liu Y, Corbin Z, Baehring J, Omuro A, Moliterno J, Omay S, Fulbright R, de Graaf R, De Feyter H. NIMG-30. DEUTERIUM METABOLIC IMAGING (DMI) SHOWS A STRONG RELATION BETWEEN TUMOR GRADE AND GLUCOSE METABOLISM IN PRIMARY BRAIN TUMORS. Neuro-Oncology 2024, 26: viii201-viii201. PMCID: PMC11553074, DOI: 10.1093/neuonc/noae165.0795.Peer-Reviewed Original ResearchGrade 2 lesionsTumor gradeDeuterium metabolic imagingMetabolic imagingNon-enhancing tumor regionsBrain tumorsTumor-to-brain contrastTumour-specific valuesActive tumor tissueImage contrastVOI-based analysisGrade 4Evaluate disease progressionTesla MRI scannerFDG-PETGrade 3Lesion gradeTumor tissuesDisease progressionDisease stageOral administrationTumorObservational studyNormal brainContrast enhancementEnhancing Clinical Decision-Making: An Externally Validated Machine Learning Model for Predicting IDH Mutation in Gliomas using Radiomics from Pre-Surgical MRI
Lost J, Ashraf N, Jekel L, von Reppert M, Tillmanns N, Willms K, Merkaj S, Petersen G, Avesta A, Ramakrishnan D, Omuro A, Nabavizadeh A, Bakas S, Bousabarah K, De Lin M, Aneja S, Sabel M, Aboian M. Enhancing Clinical Decision-Making: An Externally Validated Machine Learning Model for Predicting IDH Mutation in Gliomas using Radiomics from Pre-Surgical MRI. Neuro-Oncology Advances 2024, vdae157. DOI: 10.1093/noajnl/vdae157.Peer-Reviewed Original ResearchIsocitrate dehydrogenase mutation statusArea under the curveMagnetic resonance imagingMutation statusML modelsMachine learningSemi-automated tumour segmentationsPre-surgical magnetic resonance imagingCare of glioma patientsMachine learning modelsClinical care of glioma patientsIsocitrate dehydrogenase statusAnnotated datasetsFeature extractionPrediction taskMulti-institutional dataModel trainingIDH mutationsPredicting IDH mutationLearning modelsRetrospective studyHeterogeneous datasetsTumor segmentationGlioma patientsBrain tumors
2023
BSBM-18 SINGLE-CELL PROFILING TUMOR-INFILTRATING IMMUNE CELLS REVEALS CXCL13+ FOLLICULAR HELPER-LIKE CD4+ T CELLS IN HUMAN BRAIN TUMORS
Lu B, Lucca L, DiStasio M, Liu Y, Pham G, Buitrago-Pocasangre N, Arnal-Estape A, Moliterno J, Chiang V, Omuro A, Hafler D. BSBM-18 SINGLE-CELL PROFILING TUMOR-INFILTRATING IMMUNE CELLS REVEALS CXCL13+ FOLLICULAR HELPER-LIKE CD4+ T CELLS IN HUMAN BRAIN TUMORS. Neuro-Oncology Advances 2023, 5: iii4-iii4. PMCID: PMC10402449, DOI: 10.1093/noajnl/vdad070.014.Peer-Reviewed Original ResearchT cell populationsT cell functionT cellsHigh-grade gliomasBrain metastasesHuman brain tumorsImmune cellsBrain tumorsNon-small cell lung cancer brain metastasesB cellsAnti-PD-1 therapy responseCell lung cancer brain metastasesLung cancer brain metastasesProductive antitumor immune responsesFollicular helper T cellsT-cell receptor sequencingTumor-infiltrating T cellsAntitumor T-cell functionCancer brain metastasesCo-inhibitory receptorsAntitumor immune responseCell receptor sequencingLonger overall survivalCell functionTertiary lymphoid structuresImaging metabolism of deuterated glucose in patients with primary brain tumors
Corbin Z, Liu Y, Fulbright R, Thaw-Poon S, Baehring J, Blondin N, Kim P, Omuro A, Chiang V, Moliterno J, Omay S, Piepmeier J, Rothman D, de Graaf R, De Feyter H. Imaging metabolism of deuterated glucose in patients with primary brain tumors. Proceedings Of The International Society For Magnetic Resonance In Medicine ... Scientific Meeting And Exhibition. 2023 DOI: 10.58530/2023/0142.Peer-Reviewed Original ResearchTop advances of the year: Neuro‐oncology
Barden M, Omuro A. Top advances of the year: Neuro‐oncology. Cancer 2023, 129: 1467-1472. PMID: 36825454, DOI: 10.1002/cncr.34711.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsBrain tumorsRecent phase 3 trialAnti-PD-1 immunotherapyCentral nervous system dysfunctionSingle-agent pembrolizumabHigh-dose chemotherapyPhase 3 trialPrimary CNS lymphomaStem cell transplantationLong-term outcomesLimited therapeutic optionsNervous system dysfunctionOngoing clinical trialsClinical trial landscapeDrug Administration approvalBRAF V600E mutationExcellent disease controlConsolidation therapyCNS lymphomaImproved survivalLeptomeningeal metastasesTherapeutic optionsCell transplantationCraniospinal irradiationPatient population
2022
Immune-checkpoint inhibitors for glioblastoma: what have we learned?
Omuro A. Immune-checkpoint inhibitors for glioblastoma: what have we learned? Arquivos De Neuro-Psiquiatria 2022, 80: 266-269. PMID: 35976319, PMCID: PMC9491432, DOI: 10.1590/0004-282x-anp-2022-s129.Peer-Reviewed Original ResearchConceptsImmune checkpoint inhibitorsRecurrent glioblastomaBrain tumorsRandomized phase 3 trialCommon malignant primary brain tumorPost-treatment tumor samplesMalignant primary brain tumorSuccessful immunotherapeutic approachesPhase 3 trialPhase 1 studySelection of patientsT cell dysfunctionNew safety concernsHigh mutational burdenPrimary brain tumorsCheckpoint inhibitorsRadiographic responseImmunotherapeutic approachesPD-L1Survival improvementImmunologic responseTherapeutic optionsClinical trialsCNS microenvironmentCell dysfunction
2021
T cell dysfunction in glioblastoma: a barrier and an opportunity for the development of successful immunotherapies
Jansen JA, Omuro A, Lucca LE. T cell dysfunction in glioblastoma: a barrier and an opportunity for the development of successful immunotherapies. Current Opinion In Neurology 2021, 34: 827-833. PMID: 34569985, PMCID: PMC8595795, DOI: 10.1097/wco.0000000000000988.Peer-Reviewed Original ResearchConceptsT cell dysfunctionTumor-infiltrating T cellsT cellsCell dysfunctionFuture immunotherapy strategiesCervical lymph nodesTumor-derived antigensImmune checkpoint blockadeCentral nervous systemHomeostatic brainSuccessful immunotherapyCheckpoint blockadeImmunotherapy strategiesLymph nodesTumor rejectionImmune surveillanceImmune responseMouse modelBrain tumorsLymphatic drainageNervous systemSolid tumorsDysfunctionSingle-cell RNA sequencingNatural history
2019
Applications of artificial intelligence in neuro-oncology.
Aneja S, Chang E, Omuro A. Applications of artificial intelligence in neuro-oncology. Current Opinion In Neurology 2019, 32: 850-856. PMID: 31609739, DOI: 10.1097/wco.0000000000000761.Peer-Reviewed Original ResearchConceptsArtificial intelligenceArtificial intelligence algorithmsNatural language processingAmount of dataIntelligence algorithmsLanguage processingIntelligenceNeuro-oncologyImage analysisApplicationsAlgorithmRisk stratificationFuture innovationsTreatment responseBrain tumorsClinical practiceClassificationRecent applicationsProcessingSignificant promiseChallengesDetection
2017
Dynamic contrast‐enhanced MRI perfusion for differentiating between melanoma and lung cancer brain metastases
Hatzoglou V, Tisnado J, Mehta A, Peck KK, Daras M, Omuro AM, Beal K, Holodny AI. Dynamic contrast‐enhanced MRI perfusion for differentiating between melanoma and lung cancer brain metastases. Cancer Medicine 2017, 6: 761-767. PMID: 28303695, PMCID: PMC5387174, DOI: 10.1002/cam4.1046.Peer-Reviewed Original ResearchConceptsMelanoma brain metastasesNSCLC brain metastasesLung cancer brain metastasesBrain metastasesCancer brain metastasesCell lung cancer brain metastasesDCE-MRIPrimary brain tumorsDifferent primary sitesImportant clinical implicationsMann-Whitney U testVolume transfer coefficientTumor histologyMultiple malignanciesMRI perfusionBrain tumorsMetastasisPrimary siteConventional MRIClinical implicationsPerfusion parametersTumor microvasculatureROC analysisU testPlasma volume
2016
Evaluating Cancer of the Central Nervous System Through Next-Generation Sequencing of Cerebrospinal Fluid
Pentsova EI, Shah RH, Tang J, Boire A, You D, Briggs S, Omuro A, Lin X, Fleisher M, Grommes C, Panageas KS, Meng F, Selcuklu SD, Ogilvie S, Distefano N, Shagabayeva L, Rosenblum M, DeAngelis LM, Viale A, Mellinghoff IK, Berger MF. Evaluating Cancer of the Central Nervous System Through Next-Generation Sequencing of Cerebrospinal Fluid. Journal Of Clinical Oncology 2016, 34: 2404-2415. PMID: 27161972, PMCID: PMC4981784, DOI: 10.1200/jco.2016.66.6487.Peer-Reviewed Original ResearchConceptsCentral nervous systemPrimary brain tumorsCerebrospinal fluidCell-free DNACNS involvementBrain tumorsNervous systemCommon malignant primary brain tumorMalignant primary brain tumorRoutine lumbar punctureRelevant genomic alterationsCNS metastasesCNS cancersLumbar punctureCancer-associated genesTumor disseminationHarbored mutationsPatientsTumor evolutionSolid tumorsTumor progressionTumor tissueCancerLiquid biopsyTumors
2014
NI-57DYNAMIC CONTRAST-ENHANCED MAGNETIC RESONANCE PERFUSION WEIGHTED IMAGING (DCE-MRI) AND DIFFUSION WEIGHTED IMAGING (DWI) FOR PHARMACODYNAMIC EVALUATION OF CARBOXYAMIDOTRIAZOLE OROTATE (CTO) AND TEMOZOLOMIDE IN MALIGNANT GLIOMA
Magge R, Perez J, Young R, Kaley T, Pentsova E, DeAngelis L, Diamond E, Mellinghoff I, Peck K, Anderson B, Gorman G, Mclean S, Karmali R, Omuro A. NI-57DYNAMIC CONTRAST-ENHANCED MAGNETIC RESONANCE PERFUSION WEIGHTED IMAGING (DCE-MRI) AND DIFFUSION WEIGHTED IMAGING (DWI) FOR PHARMACODYNAMIC EVALUATION OF CARBOXYAMIDOTRIAZOLE OROTATE (CTO) AND TEMOZOLOMIDE IN MALIGNANT GLIOMA. Neuro-Oncology 2014, 16: v150-v151. PMCID: PMC4218384, DOI: 10.1093/neuonc/nou264.55.Peer-Reviewed Original ResearchBlood perfusionMalignant gliomasVascular permeabilityDCE-MRIProgressive malignant gliomaPhase I trialSubset of patientsContrast-Enhanced Magnetic ResonanceWnt/b-cateninMann-Whitney U testEarly pharmacodynamic effectsVolumetric histogram analysisMechanism of actionBiological effectsAdvanced imaging techniquesI trialOral inhibitorEarly drug developmentPharmacodynamic effectsVascular permeability parametersDrug exposurePharmacodynamic evaluationVEGF blockadeAdvanced neuroimagingBrain tumors
2011
Targeted Therapy for Malignant Gliomas
Dankwah-Quansah M, Omuro A. Targeted Therapy for Malignant Gliomas. Tumors Of The Central Nervous System 2011, 299-307. DOI: 10.1007/978-94-007-0344-5_31.Peer-Reviewed Original ResearchMalignant gliomasAggressive primary brain tumorFatal disease outcomeSingle-agent trialsSingle-agent treatmentPrimary brain tumorsAkt/mTORDevelopment of combinationsAgent trialsDismal prognosisPatient selectionStandard treatmentTargeted therapyDisease outcomeAnaplastic astrocytomaAnaplastic oligodendrogliomaBrain tumorsTherapy trialsNew treatmentsPathway inhibitionGliomasAgent treatmentTrialsRas/MAPKPromising activity
2008
Brain tumors and dementia
Omuro AM, Delattre J. Brain tumors and dementia. Handbook Of Clinical Neurology 2008, 89: 877-886. PMID: 18631803, DOI: 10.1016/s0072-9752(07)01277-8.Peer-Reviewed Original ResearchConceptsCognitive dysfunctionBrain tumorsAdult brain tumor patientsMinor cognitive dysfunctionBrain tumor patientsQuality of lifeDiffuse cognitive dysfunctionSuch patientsTumor patientsPatient's lifeCognitive impairmentPatientsCognitive endpointsCognitive functionDysfunctionCommon typeDementiaTumorsDeleterious impactMildDiagnosisImpairmentTrialsEndpoint