2021
Automated 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 biomarker
2020
Regulation of eIF2α by RNF4 Promotes Melanoma Tumorigenesis and Therapy Resistance
Avitan-Hersh E, Feng Y, Oknin Vaisman A, Abu Ahmad Y, Zohar Y, Zhang T, Lee JS, Lazar I, Sheikh Khalil S, Feiler Y, Kluger H, Kahana C, Brown K, Ruppin E, Ronai ZA, Orian A. Regulation of eIF2α by RNF4 Promotes Melanoma Tumorigenesis and Therapy Resistance. Journal Of Investigative Dermatology 2020, 140: 2466-2477. PMID: 32360601, PMCID: PMC8081033, DOI: 10.1016/j.jid.2020.04.008.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsCarcinogenesisCell Line, TumorDrug Resistance, NeoplasmEukaryotic Initiation Factor-2FemaleGene Expression Regulation, NeoplasticHumansKaplan-Meier EstimateMelanomaMiceMitogen-Activated Protein KinasesNuclear ProteinsOncogenesPrognosisProtein Kinase InhibitorsProtein StabilityProto-Oncogene Proteins B-rafSkinSkin NeoplasmsTranscription FactorsUbiquitinationXenograft Model Antitumor AssaysConceptsUbiquitin ligase RNF4Elongation factor alphaPatient-derived melanomasIntegrated stress responseTherapy resistancePositive feed-forward loopTranscription factor 4Feed-forward loopOncogenic translationMolecular machineryMajor clinical challengePhosphorylated eIF2αHallmark of melanomaXenograft mouse modelHomologous proteinsStress responseMAPK inhibitorProtein stabilizationMelanoma tumorigenesisTumorigenic propertiesPoor prognosisFactor alphaClinical challengeMouse modelRNF4
2019
Safety, Clinical Activity, and Biological Correlates of Response in Patients with Metastatic Melanoma: Results from a Phase I Trial of Atezolizumab
Hamid O, Molinero L, Bolen CR, Sosman JA, Muñoz-Couselo E, Kluger HM, McDermott DF, Powderly J, Sarkar I, Ballinger M, Fassò M, O'Hear C, Chen DS, Hegde PS, Hodi FS. Safety, Clinical Activity, and Biological Correlates of Response in Patients with Metastatic Melanoma: Results from a Phase I Trial of Atezolizumab. Clinical Cancer Research 2019, 25: 6061-6072. PMID: 31358540, DOI: 10.1158/1078-0432.ccr-18-3488.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overAntibodies, Monoclonal, HumanizedAntineoplastic Agents, ImmunologicalB7-H1 AntigenBiomarkers, TumorFatigueFemaleFeverFollow-Up StudiesHumansMaleMelanomaMiddle AgedPrognosisProgression-Free SurvivalPruritusRetrospective StudiesSeverity of Illness IndexSkinSkin NeoplasmsT-Lymphocytes, CytotoxicTranscriptomeYoung AdultConceptsTreatment-related adverse eventsAdverse eventsOverall survivalMetastatic melanomaCommon treatment-related adverse eventsMost treatment-related adverse eventsAntitumor T-cell activityMeaningful long-term survivalActivity of atezolizumabEfficacy-evaluable patientsPhase Ia studyTreatment-related deathsMedian overall survivalPD-L1 expressionProgression-free survivalCohort of patientsPhase I trialT cell activityOverall response rateBiological correlatesLong-term safetyLong-term survivalPrimary study objectiveDurable responsesGrade 1/2
2017
Sarcoidosis Following Anti-PD-1 and Anti-CTLA-4 Therapy for Metastatic Melanoma
Reddy SB, Possick JD, Kluger HM, Galan A, Han D. Sarcoidosis Following Anti-PD-1 and Anti-CTLA-4 Therapy for Metastatic Melanoma. Journal Of Immunotherapy 2017, 40: 307-311. PMID: 28737620, DOI: 10.1097/cji.0000000000000181.Peer-Reviewed Case Reports and Technical NotesMeSH KeywordsAdrenal Cortex HormonesAntibodies, MonoclonalAntineoplastic Combined Chemotherapy ProtocolsAutoimmunityCTLA-4 AntigenDrug-Related Side Effects and Adverse ReactionsFemaleHumansImmunotherapyIpilimumabLungMelanomaMiddle AgedNivolumabProgrammed Cell Death 1 ReceptorSarcoidosisSkinSkin NeoplasmsTreatment OutcomeConceptsAnti-PD-1 therapyImmune checkpoint inhibitorsStage IV melanomaCheckpoint inhibitorsOncologic responseSevere immune-related adverse effectsImmune checkpoint inhibitor therapyImmune-related adverse effectsAnti PD-1Severe pulmonary manifestationsCheckpoint inhibitor therapyPD-1 inhibitorsDevelopment of sarcoidosisAutoimmune tendencyCorticosteroid treatmentLast dosePulmonary manifestationsCutaneous sarcoidosisRare complicationInhibitor therapyRadiologic findingsPatient's symptomsMetastatic melanomaPotential complicationsSarcoidosis
2015
Melanoma: Clinical Presentations
Kibbi N, Kluger H, Choi JN. Melanoma: Clinical Presentations. Cancer Treatment And Research 2015, 167: 107-129. PMID: 26601860, DOI: 10.1007/978-3-319-22539-5_4.Peer-Reviewed Original ResearchConceptsNon-cutaneous lesionsUpper gastrointestinal mucosaMalignant skin lesionsGenital mucosaUveal tractClinical presentationDistant metastasisCutaneous lesionsPattern of spreadTypical presentationGastrointestinal mucosaSkin lesionsOral cavityMucosal surfacesMalignant cellsMelanomaRed lesionsLesionsRegional spreadBasal layerMucosaMelanocytesPresentationLeptomeningesMetastasis
2014
Clinical characteristics associated with Spitz nevi and Spitzoid malignant melanomas: The Yale University Spitzoid Neoplasm Repository experience, 1991 to 2008
Lott JP, Wititsuwannakul J, Lee JJ, Ariyan S, Narayan D, Kluger HH, Lazova R. Clinical characteristics associated with Spitz nevi and Spitzoid malignant melanomas: The Yale University Spitzoid Neoplasm Repository experience, 1991 to 2008. Journal Of The American Academy Of Dermatology 2014, 71: 1077-1082. PMID: 25308882, PMCID: PMC6133655, DOI: 10.1016/j.jaad.2014.08.026.Peer-Reviewed Original ResearchConceptsMalignant melanomaSpitzoid malignant melanomasSpitz neviClinical characteristicsRetrospective cohort studyMultivariate logistic regressionMalignant melanoma diagnosisSelect patientsCohort studyYounger patientsClinical featuresSingle institutionMale genderMelanomaSmall lesionsLogistic regressionNeviSmall sample sizeLesionsMelanoma diagnosisDiagnosisUnmeasured confoundingPatientsDescriptive statisticsAge
2010
A Role for ATF2 in Regulating MITF and Melanoma Development
Shah M, Bhoumik A, Goel V, Dewing A, Breitwieser W, Kluger H, Krajewski S, Krajewska M, DeHart J, Lau E, Kallenberg DM, Jeong H, Eroshkin A, Bennett DC, Chin L, Bosenberg M, Jones N, Ronai ZA. A Role for ATF2 in Regulating MITF and Melanoma Development. PLOS Genetics 2010, 6: e1001258. PMID: 21203491, PMCID: PMC3009656, DOI: 10.1371/journal.pgen.1001258.Peer-Reviewed Original ResearchConceptsMelanoma developmentMouse melanoma modelHuman melanoma cell linesMITF expressionMelanoma tissue microarrayMelanoma cell linesMetastatic diseasePoor prognosisTissue microarrayXenograft modelMelanoma modelPrimary specimensPrimary human melanocytesOncogenic BRAFMiceGene expression profilingHigh MITF expressionDependent suppressionATF2 knockdownCell linesSoft agarHuman melanocytesMelanocytesMelanoma susceptibilityPrimary melanocytes