2020
[11C]Methionine and [11C]PBR28 as PET Imaging Tracers to Differentiate Metastatic Tumor Recurrence or Radiation Necrosis
Tran TT, Gallezot JD, Jilaveanu LB, Zito C, Turcu G, Lim K, Nabulsi N, Huang H, Huttner A, Kluger HM, Chiang VL, Carson R. [11C]Methionine and [11C]PBR28 as PET Imaging Tracers to Differentiate Metastatic Tumor Recurrence or Radiation Necrosis. Molecular Imaging 2020, 19: 1536012120968669. PMID: 33147119, PMCID: PMC7649862, DOI: 10.1177/1536012120968669.Peer-Reviewed Original ResearchMeSH KeywordsBrain NeoplasmsHumansMethionineNecrosisNeoplasm Recurrence, LocalPositron-Emission TomographyRadiation InjuriesReceptors, GABAConceptsRadiation necrosisTumor regrowthStereotactic radiosurgeryBrain metastasesPET tracersHigh amino acid uptakeMetastatic tumor recurrenceLung cancer cellsSpecific PET tracersPET imaging tracerTumor recurrenceAmino acid uptakeImaging tracerReliable markerDiagnostic imagingLack of specificityAcid uptakeCancer cellsSpecific markersMethionine levelsTranslocator proteinSequential imagingInflammationMetastasisDual tracer
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 ResearchMeSH KeywordsAntineoplastic AgentsBrain NeoplasmsHumansImmunologic FactorsImmunotherapyNeoplasm MetastasisNeoplasm Recurrence, LocalNeurotoxicity SyndromesConceptsBrain 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 teamMetastasisPatientsDeep Learning Based on Standard H&E Images of Primary Melanoma Tumors Identifies Patients at Risk for Visceral Recurrence and Death
Kulkarni PM, Robinson EJ, Pradhan J, Gartrell-Corrado RD, Rohr BR, Trager MH, Geskin LJ, Kluger HM, Wong PF, Acs B, Rizk EM, Yang C, Mondal M, Moore MR, Osman I, Phelps R, Horst BA, Chen ZS, Ferringer T, Rimm DL, Wang J, Saenger YM. Deep Learning Based on Standard H&E Images of Primary Melanoma Tumors Identifies Patients at Risk for Visceral Recurrence and Death. Clinical Cancer Research 2019, 26: 1126-1134. PMID: 31636101, PMCID: PMC8142811, DOI: 10.1158/1078-0432.ccr-19-1495.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overAlgorithmsArea Under CurveBiopsyDeep LearningDisease ProgressionFemaleFollow-Up StudiesHumansImage Processing, Computer-AssistedMaleMelanomaMiddle AgedNeoplasm Recurrence, LocalNeural Networks, ComputerRetrospective StudiesRisk FactorsStaining and LabelingSurvival RateYoung AdultConceptsDeep neural network architectureNeural network architectureDeep learningNetwork architectureComputational modelImage sequencesDigital imagesVote aggregationDisease-specific survivalDSS predictionPractical advancesComputational methodsIHC-based methodsImagesGeisinger Health SystemNovel methodGHS patientsArchitectureLearningKaplan-Meier analysisPrimary melanoma tumorsEarly-stage melanomaClinical trial designModelAdjuvant immunotherapy
2011
Plasma Markers for Identifying Patients with Metastatic Melanoma
Kluger HM, Hoyt K, Bacchiocchi A, Mayer T, Kirsch J, Kluger Y, Sznol M, Ariyan S, Molinaro A, Halaban R. Plasma Markers for Identifying Patients with Metastatic Melanoma. Clinical Cancer Research 2011, 17: 2417-2425. PMID: 21487066, PMCID: PMC3415234, DOI: 10.1158/1078-0432.ccr-10-2402.Peer-Reviewed Original ResearchMeSH KeywordsAgedAntigens, CDBiomarkers, TumorCell Adhesion MoleculesEnzyme-Linked Immunosorbent AssayExtracellular Matrix ProteinsFemaleGlycoproteinsGrowth Differentiation Factor 15HumansIntercellular Adhesion Molecule-1L-Lactate DehydrogenaseMaleMelanomaMiddle AgedNeoplasm MetastasisNeoplasm ProteinsNeoplasm Recurrence, LocalNeoplasm StagingNerve Growth FactorsPrognosisReproducibility of ResultsS100 Calcium Binding Protein beta SubunitS100 ProteinsSensitivity and SpecificityTissue Inhibitor of Metalloproteinase-1ConceptsGenome-wide gene expression dataGene expression dataHigh expression levelsLevels of proteinExpression dataExpression levelsProteinMelanoma cellsStage I/II diseaseEqual-sized trainingMarkersGenesDisease recurrencePlasma markersMetastatic melanomaTIMP-1Lactate dehydrogenaseCEACAMsStage I/II patientsDehydrogenaseOsteopontinStage IV diseaseStage IV patientsMetastatic melanoma patientsGender-matched patients