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 structures
2022
NIMG-02. PACS-INTEGRATED AUTO-SEGMENTATION WORKFLOW FOR BRAIN METASTASES USING NNU-NET
Jekel L, Bousabarah K, Lin M, Merkaj S, Kaur M, Avesta A, Aneja S, Omuro A, Chiang V, Scheffler B, Aboian M. NIMG-02. PACS-INTEGRATED AUTO-SEGMENTATION WORKFLOW FOR BRAIN METASTASES USING NNU-NET. Neuro-Oncology 2022, 24: vii162-vii162. PMCID: PMC9661012, DOI: 10.1093/neuonc/noac209.622.Peer-Reviewed Original ResearchSystematic Review of Machine Learning Models for Differentiation of Glioma from Brain Metastasis (P14-9.006)
Jekel L, Brim W, Petersen G, Merkaj S, Subramanian H, Zeevi T, Payabvash S, Khaled B, Lin M, Cui J, Brackett A, Johnson M, Omuro A, Scheffler B, Aboian M. Systematic Review of Machine Learning Models for Differentiation of Glioma from Brain Metastasis (P14-9.006). Neurology 2022, 98 DOI: 10.1212/wnl.98.18_supplement.3376.Peer-Reviewed Original ResearchUsing Adversarial Images to Assess the Robustness of Deep Learning Models Trained on Diagnostic Images in Oncology
Joel MZ, Umrao S, Chang E, Choi R, Yang DX, Duncan JS, Omuro A, Herbst R, Krumholz HM, Aneja S. Using Adversarial Images to Assess the Robustness of Deep Learning Models Trained on Diagnostic Images in Oncology. JCO Clinical Cancer Informatics 2022, 6: e2100170. PMID: 35271304, PMCID: PMC8932490, DOI: 10.1200/cci.21.00170.Peer-Reviewed Original ResearchMachine Learning Applications for Differentiation of Glioma from Brain Metastasis—A Systematic Review
Jekel L, Brim WR, von Reppert M, Staib L, Petersen G, Merkaj S, Subramanian H, Zeevi T, Payabvash S, Bousabarah K, Lin M, Cui J, Brackett A, Mahajan A, Omuro A, Johnson MH, Chiang VL, Malhotra A, Scheffler B, Aboian MS. Machine Learning Applications for Differentiation of Glioma from Brain Metastasis—A Systematic Review. Cancers 2022, 14: 1369. PMID: 35326526, PMCID: PMC8946855, DOI: 10.3390/cancers14061369.Peer-Reviewed Original ResearchBrain metastasesDifferentiation of gliomasMagnetic resonance imagingEligible studiesSystematic reviewSingle-center institutionConventional magnetic resonance imagingSpecific clinical circumstancesNon-invasive differentiationQuality of reportingClinical circumstancesPoor reportingClinical practiceModel assessmentResonance imagingMetastasisStudy designGliomasTRIPOD StatementMultiple studiesExternal validationClinical translationAdherenceDifferentiationReviewReal-time PACS-integrated longitudinal brain metastasis tracking tool provides comprehensive assessment of treatment response to radiosurgery
Petersen G, Bousabarah K, Verma T, von Reppert M, Jekel L, Gordem A, Jang B, Merkaj S, Fadel S, Owens R, Omuro A, Chiang V, Ikuta I, Lin M, Aboian MS. Real-time PACS-integrated longitudinal brain metastasis tracking tool provides comprehensive assessment of treatment response to radiosurgery. Neuro-Oncology Advances 2022, 4: vdac116. PMID: 36043121, PMCID: PMC9412827, DOI: 10.1093/noajnl/vdac116.Peer-Reviewed Original ResearchGamma KnifeTreatment responseBrain metastasis patientsFurther treatment planningNumber of lesionsMean followBrain metastasesMetastasis patientsMultiple lesionsDiagnostic followSingle patientStereotactic radiosurgeryPatientsLesionsIndividual lesionsPrevalenceAccurate surveillanceHeterogenous responseTreatment planningTreatmentFollowRadiosurgerySize assessmentComprehensive assessmentResponse
2021
Comparison of radiomic feature aggregation methods for patients with multiple tumors
Chang E, Joel MZ, Chang HY, Du J, Khanna O, Omuro A, Chiang V, Aneja S. Comparison of radiomic feature aggregation methods for patients with multiple tumors. Scientific Reports 2021, 11: 9758. PMID: 33963236, PMCID: PMC8105371, DOI: 10.1038/s41598-021-89114-6.Peer-Reviewed Original ResearchConceptsCox proportional hazards modelCox proportional hazardsProportional hazards modelBrain metastasesRadiomic featuresHazards modelProportional hazardsStandard Cox proportional hazards modelMultifocal brain metastasesMultiple brain metastasesNumber of patientsPatient-level outcomesHigher concordance indexRadiomic feature analysisRandom survival forest modelSurvival modelsDifferent tumor volumesMultifocal tumorsCancer outcomesMultiple tumorsMetastatic cancerConcordance indexTumor volumePatientsTumor types
2019
Complications associated with immunotherapy for brain metastases.
Tran TT, Jilaveanu LB, Omuro A, Chiang VL, Huttner A, Kluger HM. Complications associated with immunotherapy for brain metastases. Current Opinion In Neurology 2019, 32: 907-916. PMID: 31577604, PMCID: PMC7398556, DOI: 10.1097/wco.0000000000000756.Peer-Reviewed Original ResearchConceptsBrain metastasesNeurologic toxicityImmune therapyPhase 2 clinical trialCheckpoint inhibitor therapyImmune checkpoint inhibitorsMultiple phase 2 clinical trialsTreatment-related morbidityBrain metastatic diseaseSymptomatic edemaCheckpoint inhibitorsAdverse eventsDurable responsesMedian survivalMetastatic diseaseInhibitor therapyMore patientsIntracranial activityPatient groupRadiation necrosisClinical trialsTherapy trialsMultidisciplinary teamMetastasisPatients
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
2015
Multicenter phase 2 study of patupilone for recurrent or progressive brain metastases from non–small cell lung cancer
Nayak L, DeAngelis LM, Robins HI, Govindan R, Gadgeel S, Kelly K, Rigas JR, Peereboom DM, Rosenfeld SS, Muzikansky A, Zheng M, Urban P, Abrey LE, Omuro A, Wen PY. Multicenter phase 2 study of patupilone for recurrent or progressive brain metastases from non–small cell lung cancer. Cancer 2015, 121: 4165-4172. PMID: 26308485, PMCID: PMC5941922, DOI: 10.1002/cncr.29636.Peer-Reviewed Original ResearchConceptsNon-small cell lung cancerProgressive brain metastasesBrain metastasesCell lung cancerAdverse eventsStudy drugLung cancerGrade 3/4 adverse eventsMulticenter phase 2 studyNSCLC brain metastasesSteady-state distribution volumePhase 1/2 studyRecurrent brain metastasesPhase 2 studyProgression-free survivalFirst prospective studyConcentration-time curvePrimary endpointAdult patientsOverall survivalPulmonary embolismMedian agePeripheral neuropathyMedian timeProspective study
2013
An Open-Label, Multi-Center, Phase II Study of Patupilone (EPO906), in the Treatment of Recurrent or Progressive Brain Metastases in Patients with Non-Small Cell Lung Cancer (NSCLC) (IN10-2.005)
Nayak L, Abrey L, DeAngelis L, Gadgeel S, Garst J, Govindan R, Kelly K, Omuro A, Peereboom D, Ramnath N, Reimers H, Rigas J, Robbins H, Rosenfeld S, Wen P. An Open-Label, Multi-Center, Phase II Study of Patupilone (EPO906), in the Treatment of Recurrent or Progressive Brain Metastases in Patients with Non-Small Cell Lung Cancer (NSCLC) (IN10-2.005). Neurology 2013, 80 DOI: 10.1212/wnl.80.7_supplement.in10-2.005.Peer-Reviewed Original ResearchAn Open-Label, Multi-Center, Phase II Study of Patupilone (EPO906), in the Treatment of Recurrent or Progressive Brain Metastases in Patients with Non-Small Cell Lung Cancer (NSCLC) (S56.002)
Nayak L, Abrey L, DeAngelis L, Gadgeel S, Garst J, Govindan R, Kelly K, Omuro A, Peereboom D, Ramnath N, Reimers H, Rigas J, Robbins H, Rosenfeld S, Wen P. An Open-Label, Multi-Center, Phase II Study of Patupilone (EPO906), in the Treatment of Recurrent or Progressive Brain Metastases in Patients with Non-Small Cell Lung Cancer (NSCLC) (S56.002). Neurology 2013, 80 DOI: 10.1212/wnl.80.7_supplement.s56.002.Peer-Reviewed Original Research
2012
Limited Overall Survival in Patients with Brain Metastases from Triple Negative Breast Cancer
Morris PG, Murphy CG, Mallam D, Accordino M, Patil S, Howard J, Omuro A, Beal K, Seidman AD, Hudis CA, Fornier MN. Limited Overall Survival in Patients with Brain Metastases from Triple Negative Breast Cancer. The Breast Journal 2012, 18: 345-350. PMID: 22607041, DOI: 10.1111/j.1524-4741.2012.01246.x.Peer-Reviewed Original ResearchConceptsBrain metastasesOverall survivalBreast cancerDiagnosis of BMIncidence of BMMedian age 53 yearsRisk of BMTriple-negative breast cancerActuarial median survivalLimited overall survivalAge 53 yearsGroup of patientsPatterns of recurrenceSingle-institution studyNegative breast cancerElectronic medical recordsBM diagnosisMedian survivalMetastatic diseaseEntire cohortRetrospective studyTherapeutic optionsInstitutional databaseMedical recordsModern therapy
2010
Neurological Complications of Non-Hodgkin Lymphoma
Khasraw M, Noy A, Gilbert M, Omuro A. Neurological Complications of Non-Hodgkin Lymphoma. 2010, 267-285. DOI: 10.1007/978-1-4419-7668-0_16.Peer-Reviewed Original ResearchNon-Hodgkin lymphomaPeripheral nervous systemBrain metastasesCNS involvementCNS prophylaxisDirect complicationsNeurological complicationsParaneoplastic disordersPeripheral neuropathyLeptomeningeal metastasesNeurological symptomsHodgkin's lymphomaRisk factorsNervous systemComplicationsNHLLymphomaMetastasisInvolvementMyelopathyPlexopathyProphylaxisNeuropathyDirect involvementSymptomsEfficacy and safety of bevacizumab in active brain metastases from non-small cell lung cancer
De Braganca KC, Janjigian YY, Azzoli CG, Kris MG, Pietanza MC, Nolan CP, Omuro AM, Holodny AI, Lassman AB. Efficacy and safety of bevacizumab in active brain metastases from non-small cell lung cancer. Journal Of Neuro-Oncology 2010, 100: 443-447. PMID: 20440540, PMCID: PMC3246379, DOI: 10.1007/s11060-010-0200-2.Peer-Reviewed Original ResearchConceptsNon-small cell lung cancerActive brain metastasesInitiation of bevacizumabSafety of bevacizumabProgression-free survivalBrain metastasesCell lung cancerCNS metastasisOverall survivalLung cancerCentral nervous system metastasesMedian progression-free survivalAccelerated FDA approvalActive CNS metastasesParenchymal brain metastasesProgressive brain metastasesMedian overall survivalNervous system metastasesAdditional safety dataPrimary brain tumorsHigh response rateIntra-tumoral hemorrhageBevacizumab safetyConcurrent anticoagulationCorticosteroid requirements
2007
A phase II trial of vinorelbine and intensive temozolomide for patients with recurrent or progressive brain metastases
Iwamoto FM, Omuro AM, Raizer JJ, Nolan CP, Hormigo A, Lassman AB, Gavrilovic IT, Abrey LE. A phase II trial of vinorelbine and intensive temozolomide for patients with recurrent or progressive brain metastases. Journal Of Neuro-Oncology 2007, 87: 85-90. PMID: 17987262, DOI: 10.1007/s11060-007-9491-3.Peer-Reviewed Original ResearchConceptsKarnofsky Performance ScaleProgressive brain metastasesPhase II trialBrain metastasesII trialResponse rateMedian Karnofsky performance scaleWhole-brain radiation therapyAdequate organ functionBrain metastasis resectionObjective radiographic responseRadiographic response rateSingle-agent temozolomideGrade 3/4 toxicitiesRecurrent brain metastasesPopulation of patientsPrimary tumor siteYears of agePrior therapyStable diseaseVinorelbine 25Metastasis resectionPrimary endpointMethods PatientsOverall survivalA phase II trial of temozolomide and vinorelbine for patients with recurrent brain metastases
Iwamoto F, Omuro A, Raizer J, Nolan C, Hormigo A, Lassman A, Gavrilovic I, Abrey L. A phase II trial of temozolomide and vinorelbine for patients with recurrent brain metastases. Journal Of Clinical Oncology 2007, 25: 2050-2050. DOI: 10.1200/jco.2007.25.18_suppl.2050.Peer-Reviewed Original ResearchPhase II trialRecurrent brain metastasesObjective radiographic responseBrain metastasesII trialRadiographic responseResponse rateWhole-brain radiation therapyAdequate organ functionBrain metastasis resectionSingle-agent temozolomideGrade 3/4 toxicitiesPhase I trialPhase II componentPopulation of patientsFavorable toxicity profileBlood-brain barrierPrimary tumor siteHead/neckTwo-stage clinical trialAssessable patientsMedian KPSMedian PFSPrior therapyMetastasis resection
2006
Vinorelbine combined with a protracted course of temozolomide for recurrent brain Metastases: a phase I trial
Omuro AM, Raizer JJ, Demopoulos A, Malkin MG, Abrey LE. Vinorelbine combined with a protracted course of temozolomide for recurrent brain Metastases: a phase I trial. Journal Of Neuro-Oncology 2006, 78: 277-280. PMID: 16614943, DOI: 10.1007/s11060-005-9095-8.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAntineoplastic Agents, AlkylatingAntineoplastic Agents, PhytogenicAntineoplastic Combined Chemotherapy ProtocolsBrain NeoplasmsBreast NeoplasmsCarcinoma, Non-Small-Cell LungDacarbazineDisease-Free SurvivalDose-Response Relationship, DrugDrug Administration ScheduleFemaleHumansLung NeoplasmsLymphopeniaMaleMaximum Tolerated DoseMiddle AgedNeutropeniaTemozolomideThrombocytopeniaTreatment OutcomeVinblastineVinorelbineConceptsCourses of temozolomideRecurrent brain metastasesBrain metastasesDose of vinorelbineProgressive brain metastasesPhase II trialPhase I trialEfficacy of temozolomideVinorelbine doseII trialStarting doseMedian survivalRadiographic responseI trialMedian ageModest efficacyNew regimenPatient 2Lung cancerPrimary tumorGrade 3PatientsVinorelbineTemozolomideDose
2005
High incidence of disease recurrence in the brain and leptomeninges in patients with nonsmall cell lung carcinoma after response to gefitinib
Omuro AM, Kris MG, Miller VA, Franceschi E, Shah N, Milton DT, Abrey LE. High incidence of disease recurrence in the brain and leptomeninges in patients with nonsmall cell lung carcinoma after response to gefitinib. Cancer 2005, 103: 2344-2348. PMID: 15844174, DOI: 10.1002/cncr.21033.Peer-Reviewed Original ResearchConceptsNonsmall cell lung carcinomaCentral nervous systemDisease recurrenceLong-term outcomesCell lung carcinomaBrain metastasesCNS metastasesLeptomeningeal metastasesLung carcinomaHigh incidenceAdvanced nonsmall cell lung carcinomaEpidermal growth factor receptor tyrosine kinase inhibitorsGrowth factor receptor tyrosine kinase inhibitorsMedian Karnofsky performance scoreMemorial Sloan-Kettering Cancer CenterMedian overall survival periodReceptor tyrosine kinase inhibitorsInitial disease recurrenceKarnofsky performance scoreOverall survival periodInitial responseTyrosine kinase inhibitorsInitial siteNeurologic symptomsPartial response
2004
Brain metastases
Omuro AM, Abrey LE. Brain metastases. Current Neurology And Neuroscience Reports 2004, 4: 205-210. PMID: 15102346, DOI: 10.1007/s11910-004-0040-6.Peer-Reviewed Original ResearchConceptsWhole brain radiotherapyBrain metastasesBrain radiotherapyPerformance statusPoor prognosisSystemic diseaseFocal therapyAggressive focal therapiesGood performance statusImportant prognostic factorTreatment of recurrenceLong-term survivorsStandard of careTypes of tumorsPrognostic factorsTreatment of cancerPatient populationTreatment decisionsCognitive deteriorationLocal controlMetastasisPatientsPrognosisRadiotherapyTherapy