2023
Melanoma in pregnancy
Czeyda-Pommersheim F, Kluger H, Langdon J, Menias C, VanBuren W, Leventhal J, Baumann R, Revzin M. Melanoma in pregnancy. Abdominal Radiology 2023, 48: 1740-1751. PMID: 36719425, DOI: 10.1007/s00261-022-03796-8.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsMeSH KeywordsFemaleHumansMagnetic Resonance ImagingMelanomaNeoplasm StagingNeoplasms, Second PrimaryPregnancyUltrasonography
2021
Three-year survival, correlates and salvage therapies in patients receiving first-line pembrolizumab for advanced Merkel cell carcinoma
Nghiem P, Bhatia S, Lipson EJ, Sharfman WH, Kudchadkar RR, Brohl AS, Friedlander PA, Daud A, Kluger HM, Reddy SA, Boulmay BC, Riker A, Burgess MA, Hanks BA, Olencki T, Kendra K, Church C, Akaike T, Ramchurren N, Shinohara MM, Salim B, Taube JM, Jensen E, Kalabis M, Fling SP, Moreno B, Sharon E, Cheever MA, Topalian SL. Three-year survival, correlates and salvage therapies in patients receiving first-line pembrolizumab for advanced Merkel cell carcinoma. Journal For ImmunoTherapy Of Cancer 2021, 9: e002478. PMID: 33879601, PMCID: PMC8061836, DOI: 10.1136/jitc-2021-002478.Peer-Reviewed Original ResearchConceptsProgression-free survivalMerkel cell carcinomaSalvage therapyStable diseaseCell carcinomaBaseline Eastern Cooperative Oncology Group performance statusEastern Cooperative Oncology Group performance statusAnti-programmed death-1 therapyCell death-1 pathway inhibitorsDeath-1 pathway inhibitorsDurable progression-free survivalFirst-line pembrolizumab therapyMedian progression-free survivalMulticenter phase II trialRefractory Merkel cell carcinomaTumor progressionAdvanced Merkel cell carcinomaMedian response durationFirst-line pembrolizumabPhase II trialProportion of patientsInitial disease progressionThree-year survivalDurable tumor regressionOverall response rateAutomated digital TIL analysis (ADTA) adds prognostic value to standard assessment of depth and ulceration in primary melanoma
Moore MR, Friesner ID, Rizk EM, Fullerton BT, Mondal M, Trager MH, Mendelson K, Chikeka I, Kurc T, Gupta R, Rohr BR, Robinson EJ, Acs B, Chang R, Kluger H, Taback B, Geskin LJ, Horst B, Gardner K, Niedt G, Celebi JT, Gartrell-Corrado RD, Messina J, Ferringer T, Rimm DL, Saltz J, Wang J, Vanguri R, Saenger YM. Automated digital TIL analysis (ADTA) adds prognostic value to standard assessment of depth and ulceration in primary melanoma. Scientific Reports 2021, 11: 2809. PMID: 33531581, PMCID: PMC7854647, DOI: 10.1038/s41598-021-82305-1.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overBiopsyChemotherapy, AdjuvantClinical Decision-MakingDeep LearningFemaleFollow-Up StudiesHumansImage Processing, Computer-AssistedKaplan-Meier EstimateLymphocytes, Tumor-InfiltratingMaleMelanomaMiddle AgedNeoplasm StagingPatient SelectionPrognosisRetrospective StudiesRisk AssessmentROC CurveSkinSkin NeoplasmsYoung AdultConceptsTumor-infiltrating lymphocytesDisease-specific survivalEarly-stage melanomaOpen-source deep learningCutoff valueMultivariable Cox proportional hazards analysisCox proportional hazards analysisDeep learningLow-risk patientsProportional hazards analysisKaplan-Meier analysisAccurate prognostic biomarkersEosin imagesAccuracy of predictionAdjuvant therapyRisk patientsSpecific survivalPrognostic valueValidation cohortReceiver operating curvesTraining cohortTIL analysisClinical trialsPrimary melanomaPrognostic biomarkerAssessment of Age, Period, and Birth Cohort Effects and Trends in Merkel Cell Carcinoma Incidence in the United States
Jacobs D, Huang H, Olino K, Weiss S, Kluger H, Judson BL, Zhang Y. Assessment of Age, Period, and Birth Cohort Effects and Trends in Merkel Cell Carcinoma Incidence in the United States. JAMA Dermatology 2021, 157: 59-65. PMID: 33146688, PMCID: PMC7643047, DOI: 10.1001/jamadermatol.2020.4102.Peer-Reviewed Original ResearchConceptsMerkel cell carcinomaBirth cohort effectsCell carcinomaIncidence rateCalendar periodBirth cohortPatient ageNew casesCohort effectsEnd Results Program databaseCross-sectional retrospective studyLongitudinal cohort studyHigh incidence rateAge-adjusted ratesRisk factor exposureRecent birth cohortsCohort studyCarcinoma incidenceRetrospective studyNeuroendocrine cancerAge effectsProgram databaseCohort analysisMAIN OUTCOMECarcinoma
2020
High WHO/ISUP Grade and Unfavorable Architecture, Rather Than Typing of Papillary Renal Cell Carcinoma, May Be Associated With Worse Prognosis
Yang C, Shuch B, Kluger H, Humphrey PA, Adeniran AJ. High WHO/ISUP Grade and Unfavorable Architecture, Rather Than Typing of Papillary Renal Cell Carcinoma, May Be Associated With Worse Prognosis. The American Journal Of Surgical Pathology 2020, 44: 582-593. PMID: 32101890, DOI: 10.1097/pas.0000000000001455.Peer-Reviewed Original ResearchConceptsPapillary renal cell carcinomaType 2 papillary renal cell carcinomaDisease-free survivalWHO/ISUP gradeHigh WHO/ISUP gradeOverall survivalRenal cell carcinomaISUP gradeWorld Health OrganizationPRCC typeType 1Hazard ratioPathologic stageCell carcinomaMicropapillary architectureHistologic parametersType 2Stepwise multivariate Cox regression analysisWorse disease-free survivalMultivariate Cox regression analysisTumor areaType 1 histologyUrological Pathology (ISUP) gradeCox regression analysisMixed type 1
2019
Multiplex Quantitative Analysis of Tumor-Infiltrating Lymphocytes and Immunotherapy Outcome in Metastatic Melanoma
Wong PF, Wei W, Smithy JW, Acs B, Toki MI, Blenman K, Zelterman D, Kluger HM, Rimm DL. Multiplex Quantitative Analysis of Tumor-Infiltrating Lymphocytes and Immunotherapy Outcome in Metastatic Melanoma. Clinical Cancer Research 2019, 25: 2442-2449. PMID: 30617133, PMCID: PMC6467753, DOI: 10.1158/1078-0432.ccr-18-2652.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overAntineoplastic Agents, ImmunologicalBiomarkersBiomarkers, TumorFemaleFluorescent Antibody TechniqueHumansImmunohistochemistryImmunotherapyKaplan-Meier EstimateLymphocytes, Tumor-InfiltratingMaleMelanomaMiddle AgedMolecular Targeted TherapyNeoplasm StagingROC CurveT-Lymphocyte SubsetsConceptsCell countTIL activationQuantitative immunofluorescenceLymphocytic infiltrationMelanoma patientsMetastatic melanomaAnti-PD-1 responseAnti-PD-1 therapyCell death 1 (PD-1) inhibitionAbsence of immunotherapyDeath-1 (PD-1) inhibitionDisease control rateProgression-free survivalCD8 cell countsTumor-Infiltrating LymphocytesNew predictive biomarkersWhole tissue sectionsRECIST 1.1Progressive diseaseDurable responsesObjective responsePartial responseImmunotherapy outcomesLymphocyte profilesMultivariable analysis
2018
Tumor Microvessel Density as a Prognostic Marker in High-Risk Renal Cell Carcinoma Patients Treated on ECOG-ACRIN E2805
Jilaveanu LB, Puligandla M, Weiss SA, Wang X, Zito C, Flaherty KT, Boeke M, Neumeister V, Camp RL, Adeniran A, Pins M, Manola J, DiPaola RS, Haas N, Kluger HM. Tumor Microvessel Density as a Prognostic Marker in High-Risk Renal Cell Carcinoma Patients Treated on ECOG-ACRIN E2805. Clinical Cancer Research 2018, 24: 217-223. PMID: 29066509, PMCID: PMC5904512, DOI: 10.1158/1078-0432.ccr-17-1555.Peer-Reviewed Original ResearchConceptsHigher microvessel densityDisease-free survivalRenal cell carcinomaHigh-risk RCC patientsImproved overall survivalOverall survivalMicrovessel densityRCC patientsAdjuvant therapy trialsClear cell histologyHigh-risk patientsBiomarkers of outcomeTumor microvessel densityLower microvessel densityAbsence of necrosisFuhrman grade 1Clin Cancer ResAdjuvant sunitinibProlonged OSCell histologyLymphovascular invasionSarcomatoid featuresMultivariable analysisTreatment armsEntire cohortA Serum Protein Signature Associated with Outcome after Anti–PD-1 Therapy in Metastatic Melanoma
Weber JS, Sznol M, Sullivan RJ, Blackmon S, Boland G, Kluger HM, Halaban R, Bacchiocchi A, Ascierto PA, Capone M, Oliveira C, Meyer K, Grigorieva J, Asmellash SG, Roder J, Roder H. A Serum Protein Signature Associated with Outcome after Anti–PD-1 Therapy in Metastatic Melanoma. Cancer Immunology Research 2018, 6: 79-86. PMID: 29208646, DOI: 10.1158/2326-6066.cir-17-0412.Peer-Reviewed Original ResearchConceptsAcute phase reactantsCheckpoint inhibitorsOverall survivalPhase reactantsIpilimumab-treated patientsPD-1 blockadeTrials of nivolumabBetter overall survivalIndependent patient cohortsPretreatment serumPD-1Melanoma patientsValidation cohortMetastatic melanomaMultipeptide vaccinePatient cohortPooled analysisWorse outcomesClinical dataPatientsMultivariate analysisComplement cascadeMass spectrometry analysisNivolumabCohort
2017
Efficacy and Safety of Pembrolizumab in Patients Enrolled in KEYNOTE-030 in the United States
Gangadhar TC, Hwu WJ, Postow MA, Hamid O, Daud A, Dronca R, Joseph R, O’Day S, Hodi FS, Pavlick AC, Kluger H, Oxborough RP, Yang A, Gazdoiu M, Kush DA, Ebbinghaus S, Salama AKS. Efficacy and Safety of Pembrolizumab in Patients Enrolled in KEYNOTE-030 in the United States. Journal Of Immunotherapy 2017, 40: 334-340. PMID: 29028788, PMCID: PMC5647109, DOI: 10.1097/cji.0000000000000186.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAgedAged, 80 and overAntibodies, Monoclonal, HumanizedAntineoplastic AgentsClinical Trials as TopicDrug Resistance, NeoplasmDrug-Related Side Effects and Adverse ReactionsExanthemaFatigueFemaleHumansMaleMelanomaMiddle AgedNeoplasm MetastasisNeoplasm StagingTreatment OutcomeUnited StatesYoung AdultConceptsTreatment-related adverse eventsAdverse eventsAdvanced melanomaGrade 3/4 treatment-related adverse eventsNational Cancer Institute Common Terminology CriteriaUnresectable stage III/IV melanomaStage III/IV melanomaImmune-related response criteriaDeath-1 antibodySafety of pembrolizumabTreatment-related deathsUse of pembrolizumabCommon Terminology CriteriaObjective response rateSubcutaneous tissue disordersAccess programEvaluable patientsTerminology CriteriaCare therapyComplete responseInvestigator reviewGastrointestinal disordersDisease progressionTissue disordersBRAF inhibitors
2016
Renalase Expression by Melanoma and Tumor-Associated Macrophages Promotes Tumor Growth through a STAT3-Mediated Mechanism
Hollander L, Guo X, Velazquez H, Chang J, Safirstein R, Kluger H, Cha C, Desir G. Renalase Expression by Melanoma and Tumor-Associated Macrophages Promotes Tumor Growth through a STAT3-Mediated Mechanism. Cancer Research 2016, 76: 3884-3894. PMID: 27197188, PMCID: PMC5031238, DOI: 10.1158/0008-5472.can-15-1524.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsApoptosisBiomarkers, TumorBlotting, WesternCase-Control StudiesCell CycleCell ProliferationFemaleFollow-Up StudiesGene Expression Regulation, NeoplasticHumansImmunoenzyme TechniquesMacrophagesMaleMelanomaMiceMice, Inbred C57BLMice, NudeMonoamine OxidaseNeoplasm StagingP38 Mitogen-Activated Protein KinasesPrognosisProto-Oncogene Proteins c-aktSignal TransductionSTAT3 Transcription FactorSurvival RateTumor Cells, CulturedXenograft Model Antitumor AssaysConceptsTumor-associated macrophagesDisease-specific survivalManagement of melanomaPotential therapeutic implicationsCell cycle inhibitor p21Melanoma cell growthPI3K/AktMelanoma cell survivalCell growth arrestPathogenic rolePrimary melanomaToxic injuryMurine xenograftsTherapeutic implicationsTumor growthClinical specimensRenalaseBax activationTumor microenvironmentTumor cellsInhibitor p21Growth arrestSurvival factorElevated expressionMAPK pathwayTiming and type of immune checkpoint therapy affect the early radiographic response of melanoma brain metastases to stereotactic radiosurgery
Qian JM, Yu JB, Kluger HM, Chiang VL. Timing and type of immune checkpoint therapy affect the early radiographic response of melanoma brain metastases to stereotactic radiosurgery. Cancer 2016, 122: 3051-3058. PMID: 27285122, PMCID: PMC5030143, DOI: 10.1002/cncr.30138.Peer-Reviewed Original ResearchConceptsMedian percent reductionImmune checkpoint therapyLesional responseStereotactic radiosurgeryCheckpoint therapyLesion volumeAnti-cytotoxic T-lymphocyte-associated protein 4Anti-programmed cell death protein 1T-lymphocyte-associated protein 4Anti-PD-1 therapyGreater median percent reductionsCell death protein 1Administration of immunotherapyWeeks of immunotherapyMelanoma brain metastasesDeath protein 1Type of immunotherapyWilcoxon rank sum testRank sum testNonconcurrent therapyBrain metastasesMelanoma patientsTreatment of cancerSingle institutionPercent reductionPembrolizumab for patients with melanoma or non-small-cell lung cancer and untreated brain metastases: early analysis of a non-randomised, open-label, phase 2 trial
Goldberg SB, Gettinger SN, Mahajan A, Chiang AC, Herbst RS, Sznol M, Tsiouris AJ, Cohen J, Vortmeyer A, Jilaveanu L, Yu J, Hegde U, Speaker S, Madura M, Ralabate A, Rivera A, Rowen E, Gerrish H, Yao X, Chiang V, Kluger HM. Pembrolizumab for patients with melanoma or non-small-cell lung cancer and untreated brain metastases: early analysis of a non-randomised, open-label, phase 2 trial. The Lancet Oncology 2016, 17: 976-983. PMID: 27267608, PMCID: PMC5526047, DOI: 10.1016/s1470-2045(16)30053-5.Peer-Reviewed Original ResearchConceptsProgressive brain metastasesUntreated brain metastasesBrain metastasis responseYale Cancer CenterBrain metastasesPhase 2 trialCell lung cancerAdverse eventsMetastasis responseCancer CenterLung cancerMelanoma cohortGrade 3 colitisGrade 3 fatigueGrade 3 pneumonitisPD-1 axisAcute kidney injuryNeurological adverse eventsPD-1 inhibitorsAcceptable safety profilePD-L1 expressionSystemic immunotherapyKidney injuryPrimary endpointNSCLC cohortPD-1 Blockade with Pembrolizumab in Advanced Merkel-Cell Carcinoma
Nghiem PT, Bhatia S, Lipson EJ, Kudchadkar RR, Miller NJ, Annamalai L, Berry S, Chartash EK, Daud A, Fling SP, Friedlander PA, Kluger HM, Kohrt HE, Lundgren L, Margolin K, Mitchell A, Olencki T, Pardoll DM, Reddy SA, Shantha EM, Sharfman WH, Sharon E, Shemanski LR, Shinohara MM, Sunshine JC, Taube JM, Thompson JA, Townson SM, Yearley JH, Topalian SL, Cheever MA. PD-1 Blockade with Pembrolizumab in Advanced Merkel-Cell Carcinoma. New England Journal Of Medicine 2016, 374: 2542-2552. PMID: 27093365, PMCID: PMC4927341, DOI: 10.1056/nejmoa1603702.Peer-Reviewed Original ResearchConceptsAdvanced Merkel cell carcinomaMerkel cell carcinomaObjective response rateVirus-positive tumorsVirus-negative tumorsResponse rateDrug-related grade 3MCPyV-specific T cellsDose of pembrolizumabImmune inhibitory pathwaysPrevious systemic therapyTumor viral statusPD-1 blockadePrimary end pointFirst-line therapyProgression-free survivalResponse Evaluation CriteriaAggressive skin cancerMCPyV-positive tumorsMerkel cell polyomavirusAdverse eventsPartial responseSystemic therapyComplete responsePD-1Copy Number Changes Are Associated with Response to Treatment with Carboplatin, Paclitaxel, and Sorafenib in Melanoma
Wilson MA, Zhao F, Khare S, Roszik J, Woodman SE, D'Andrea K, Wubbenhorst B, Rimm DL, Kirkwood JM, Kluger HM, Schuchter LM, Lee SJ, Flaherty KT, Nathanson KL. Copy Number Changes Are Associated with Response to Treatment with Carboplatin, Paclitaxel, and Sorafenib in Melanoma. Clinical Cancer Research 2016, 22: 374-382. PMID: 26307133, PMCID: PMC4821426, DOI: 10.1158/1078-0432.ccr-15-1162.Peer-Reviewed Original ResearchMeSH KeywordsAntineoplastic Combined Chemotherapy ProtocolsCarboplatinDisease-Free SurvivalDNA Copy Number VariationsDNA Mutational AnalysisDouble-Blind MethodGenes, rasHumansMelanomaMutationNeoplasm StagingNiacinamidePaclitaxelPhenylurea CompoundsProto-Oncogene Proteins B-rafProto-Oncogene Proteins c-metSorafenibTreatment OutcomeConceptsProgression-free survivalGene copy gainOverall survivalImproved progression-free survivalCopy gainImproved overall survivalGenomic alterationsCancer Genome Atlas (TCGA) datasetImproved treatment responseClinical outcomesMET amplificationV600KCCND1 amplificationTreatment responseMelanoma pathogenesisV600E mutationCurrent FDAPretreatment samplesBRAF geneTumor samplesPatientsSorafenibTherapyTumorsAtlas dataset
2014
Correlation of Somatic Mutations and Clinical Outcome in Melanoma Patients Treated with Carboplatin, Paclitaxel, and Sorafenib
Wilson MA, Zhao F, Letrero R, D'Andrea K, Rimm DL, Kirkwood JM, Kluger HM, Lee SJ, Schuchter LM, Flaherty KT, Nathanson KL. Correlation of Somatic Mutations and Clinical Outcome in Melanoma Patients Treated with Carboplatin, Paclitaxel, and Sorafenib. Clinical Cancer Research 2014, 20: 3328-3337. PMID: 24714776, PMCID: PMC4058354, DOI: 10.1158/1078-0432.ccr-14-0093.Peer-Reviewed Original ResearchMeSH KeywordsAdultAntineoplastic Combined Chemotherapy ProtocolsBiomarkers, TumorCarboplatinDouble-Blind MethodFemaleFollow-Up StudiesGenotypeGTP PhosphohydrolasesHumansMaleMelanomaMembrane ProteinsMiddle AgedMutationNeoplasm StagingNiacinamidePaclitaxelPhenylurea CompoundsPrognosisProto-Oncogene Proteins B-rafSkin NeoplasmsSorafenibSurvival RateConceptsProgression-free survivalNRAS-mutant melanomaPlatelet-derived growth factor receptorPerformance statusClinical outcomesNRAS mutationsCox proportional hazards modelVEGF receptorsSomatic mutationsWorse performance statusGood performance statusImproved clinical responseKaplan-Meier methodClinical trial populationsPretreatment tumor samplesSite of diseaseProportional hazards modelEffect of sorafenibBRAF-mutant melanomaFisher's exact testGrowth factor receptorClinical responseOverall survivalClinicopathologic featuresMelanoma patients
2013
Nivolumab plus Ipilimumab in Advanced Melanoma
Wolchok JD, Kluger H, Callahan MK, Postow MA, Rizvi NA, Lesokhin AM, Segal NH, Ariyan CE, Gordon RA, Reed K, Burke MM, Caldwell A, Kronenberg SA, Agunwamba BU, Zhang X, Lowy I, Inzunza HD, Feely W, Horak CE, Hong Q, Korman AJ, Wigginton JM, Gupta A, Sznol M. Nivolumab plus Ipilimumab in Advanced Melanoma. New England Journal Of Medicine 2013, 369: 122-133. PMID: 23724867, PMCID: PMC5698004, DOI: 10.1056/nejmoa1302369.Peer-Reviewed Original ResearchConceptsObjective response ratePhase 1 trialAdverse eventsConcurrent therapyAdvanced melanomaTumor regressionClinical activityGrade 3Distinct immunologic mechanismsManageable safety profileProlongs overall survivalDurable tumor regressionSupportive preclinical dataRegimen groupImmunologic mechanismsObjective responseOverall survivalIntravenous dosesSafety profileTumor reductionPreclinical dataIpilimumabNivolumabPatientsMaximum doses
2012
Radiosurgery for melanoma brain metastases in the ipilimumab era and the possibility of longer survival.
Knisely JP, Yu JB, Flanigan J, Sznol M, Kluger HM, Chiang VL. Radiosurgery for melanoma brain metastases in the ipilimumab era and the possibility of longer survival. Journal Of Neurosurgery 2012, 117: 227-33. PMID: 22702482, PMCID: PMC6098938, DOI: 10.3171/2012.5.jns111929.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overAntibodies, MonoclonalAntineoplastic AgentsBrain NeoplasmsCombined Modality TherapyCompassionate Use TrialsDisease-Free SurvivalFemaleHumansIpilimumabMaleMelanomaMiddle AgedNeoplasm StagingPrognosisProportional Hazards ModelsRadiosurgeryRetreatmentRetrospective StudiesConceptsMelanoma brain metastasesBrain metastasesPerformance statusMedian survivalDiagnosis-Specific Graded Prognostic Assessment (DS-GPA) scoreInstitutional review board-approved chart reviewSurvival rateGraded Prognostic Assessment scoreBrain metastasis diagnosisPrognostic assessment scoreSurvival of patientsNumber of metastasesDS-GPA scoreRadiation therapy usePrimary disease locationBrain oligometastasesIpilimumab groupIpilimumab useSalvage WBRTChart reviewOverall survivalPatient ageSystemic therapyTherapy useClinical variables
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
2009
Chemotherapy and biologic therapies for melanoma: do they work?
Jilaveanu LB, Aziz SA, Kluger HM. Chemotherapy and biologic therapies for melanoma: do they work? Clinics In Dermatology 2009, 27: 614-625. PMID: 19880049, DOI: 10.1016/j.clindermatol.2008.09.020.Peer-Reviewed Original ResearchConceptsResponse rateMinority of patientsSubset of patientsInterleukin-2 (IL-2) resultsImproved response ratesIncidence of melanomaIdentification of predictorsCombination of agentsUnresectable diseaseBiologic therapyOlder regimensOverall survivalStandard chemotherapyTherapeutic optionsClinical trialsNew agentsSmall molecule inhibitorsSingle agentImmune systemMonoclonal antibodiesDeath rateMelanomaMalignant melanocytesChemotherapyMolecule inhibitors
2004
Automated Quantitative Analysis of HDM2 Expression in Malignant Melanoma Shows Association with Early-Stage Disease and Improved Outcome
Berger AJ, Camp RL, DiVito KA, Kluger HM, Halaban R, Rimm DL. Automated Quantitative Analysis of HDM2 Expression in Malignant Melanoma Shows Association with Early-Stage Disease and Improved Outcome. Cancer Research 2004, 64: 8767-8772. PMID: 15574789, DOI: 10.1158/0008-5472.can-04-1384.Peer-Reviewed Original ResearchConceptsMurine double minute 2Double minute 2Protein expressionMalignant melanomaMinute 2Early-stage diseaseTissue microarray cohortPotential tissue biomarkersCutaneous malignant melanomaValuable prognostic toolNormal skin samplesSkin cancer deathsMicroarray cohortAdvanced melanomaMetastatic lesionsCancer deathPrimary melanomaImproved outcomesExpression of HDM2Tissue biomarkersPrognostic toolBetter outcomesMelanoma lesionsAggressive natureMelanoma