2021
Adverse Histopathologic Characteristics in Small Papillary Renal Cell Carcinomas Have Minimal Impact on Prognosis
Yang C, Shuch B, Kluger HM, Serrano M, Kibel AS, Humphrey PA, Adeniran AJ. Adverse Histopathologic Characteristics in Small Papillary Renal Cell Carcinomas Have Minimal Impact on Prognosis. American Journal Of Clinical Pathology 2021, 156: 550-558. PMID: 34424955, DOI: 10.1093/ajcp/aqab015.Peer-Reviewed Original ResearchConceptsPapillary renal cell carcinomaAdditional prognostic informationRenal cell carcinomaHistopathologic characteristicsTumor sizeCell carcinomaActive surveillancePrognostic informationRenal massesHigh World Health Organization/International SocietyWorld Health Organization/International SocietyLower disease-free survivalAdverse histologic featuresAdverse histopathologic featuresTumor histopathologic characteristicsUrological Pathology (ISUP) gradeDisease-free survivalDisease-specific survivalSmall renal massesWorse prognosisHistologic featuresHistopathologic featuresBiopsy examinationConsecutive casesHistologic diagnosisAutomated 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
2019
PLEKHA5 regulates tumor growth in metastatic melanoma
Zhang H, Zhu H, Deng G, Zito CR, Oria VO, Rane CK, Zhang S, Weiss SA, Tran T, Adeniran A, Zhang F, Zhou J, Kluger Y, Bosenberg MW, Kluger HM, Jilaveanu LB. PLEKHA5 regulates tumor growth in metastatic melanoma. Cancer 2019, 126: 1016-1030. PMID: 31769872, PMCID: PMC7147081, DOI: 10.1002/cncr.32611.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAnimalsApoptosis Regulatory ProteinsBiomarkers, TumorBrain NeoplasmsCell ProliferationFemaleFollow-Up StudiesGene Expression Regulation, NeoplasticHumansIntracellular Signaling Peptides and ProteinsMaleMelanomaMiceMice, NudeMiddle AgedPhosphatidylinositol 3-KinasesPrognosisProto-Oncogene Proteins c-aktTOR Serine-Threonine KinasesTumor Cells, CulturedXenograft Model Antitumor AssaysYoung AdultConceptsTumor growthDisseminated melanomaExtracranial melanoma metastasesPI3K/AKT/mTOR pathwayMelanoma brain metastasesBetter overall survivalPI3K/Akt/mTORAKT/mTOR pathwayCell proliferationAkt/mTORMelanoma xenograft modelGrowth of tumorsS cell cycle transitionBrain metastasesOverall survivalPoor prognosisMetastatic melanomaMAPK/ERKSubcutaneous inoculationMelanoma metastasesXenograft modelClinical relevanceMelanoma growthNude miceCerebral specimensDeep 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 immunotherapySafety, 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 1/2Closed system RT-qPCR as a potential companion diagnostic test for immunotherapy outcome in metastatic melanoma
Gupta S, McCann L, Chan YGY, Lai EW, Wei W, Wong PF, Smithy JW, Weidler J, Rhees B, Bates M, Kluger HM, Rimm DL. Closed system RT-qPCR as a potential companion diagnostic test for immunotherapy outcome in metastatic melanoma. Journal For ImmunoTherapy Of Cancer 2019, 7: 254. PMID: 31533832, PMCID: PMC6751819, DOI: 10.1186/s40425-019-0731-9.Peer-Reviewed Original ResearchMeSH KeywordsAgedAntineoplastic Agents, ImmunologicalB7-H1 AntigenBiomarkers, TumorCD8 AntigensFemaleFollow-Up StudiesGene Expression ProfilingHumansInterferon Regulatory Factor-1MaleMelanomaMiddle AgedMonitoring, ImmunologicPrognosisProgrammed Cell Death 1 Ligand 2 ProteinProgression-Free SurvivalReal-Time Polymerase Chain ReactionRetrospective StudiesReverse Transcriptase Polymerase Chain ReactionRNA, MessengerSkin NeoplasmsConceptsCompanion diagnostic testsImmunotherapy outcomesMelanoma patientsClinical benefitAnti-PD-1 therapyImmune checkpoint inhibitor therapyMRNA expressionQuantitative immunofluorescenceDiagnostic testsCheckpoint inhibitor therapyReal-time quantitative reverse transcription polymerase chain reactionMetastatic melanoma patientsQuantitative reverse transcription polymerase chain reactionReverse transcription-polymerase chain reactionTranscription-polymerase chain reactionYale Pathology archivesParaffin-embedded tissue sectionsAdjuvant settingICI therapyOS associationInhibitor therapyBaseline variablesMetastatic melanomaPredictive biomarkersPolymerase chain reactionTreatment-Free Survival: A Novel Outcome Measure of the Effects of Immune Checkpoint Inhibition—A Pooled Analysis of Patients With Advanced Melanoma
Regan MM, Werner L, Rao S, Gupte-Singh K, Hodi FS, Kirkwood JM, Kluger HM, Larkin J, Postow MA, Ritchings C, Sznol M, Tarhini AA, Wolchok JD, Atkins MB, McDermott DF. Treatment-Free Survival: A Novel Outcome Measure of the Effects of Immune Checkpoint Inhibition—A Pooled Analysis of Patients With Advanced Melanoma. Journal Of Clinical Oncology 2019, 37: 3350-3358. PMID: 31498030, PMCID: PMC6901280, DOI: 10.1200/jco.19.00345.Peer-Reviewed Original ResearchMeSH KeywordsAntineoplastic Combined Chemotherapy ProtocolsDouble-Blind MethodFollow-Up StudiesHumansIpilimumabMelanomaNivolumabPrognosisSurvival RateConceptsTreatment-related adverse eventsTreatment-free survivalHigher treatment-related adverse eventsKaplan-Meier curvesTherapy initiationAdvanced melanomaICI therapyEnd pointGrade 3Outcome measuresLonger treatment-free survivalImmuno-oncology agentsSystemic therapy initiationThird end pointTreatment-free timeImmune checkpoint inhibitionSurvival end pointsEvent end pointsNovel outcome measuresCheckMate 067ICI cessationAdverse eventsTherapy cessationCheckpoint inhibitionPooled analysisDurable Tumor Regression and Overall Survival in Patients With Advanced Merkel Cell Carcinoma Receiving Pembrolizumab as First-Line Therapy
Nghiem P, Bhatia S, Lipson EJ, Sharfman WH, Kudchadkar RR, Brohl AS, Friedlander PA, Daud A, Kluger HM, Reddy SA, Boulmay BC, Riker AI, Burgess MA, Hanks BA, Olencki T, Margolin K, Lundgren LM, Soni A, Ramchurren N, Church C, Park SY, Shinohara MM, Salim B, Taube JM, Bird SR, Ibrahim N, Fling SP, Moreno B, Sharon E, Cheever MA, Topalian SL. Durable Tumor Regression and Overall Survival in Patients With Advanced Merkel Cell Carcinoma Receiving Pembrolizumab as First-Line Therapy. Journal Of Clinical Oncology 2019, 37: jco.18.01896. PMID: 30726175, PMCID: PMC6424137, DOI: 10.1200/jco.18.01896.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overAntibodies, Monoclonal, HumanizedAntineoplastic Agents, ImmunologicalB7-H1 AntigenCarcinoma, Merkel CellFemaleFollow-Up StudiesHumansHypothyroidismMaleMiddle AgedPneumoniaProgression-Free SurvivalRemission InductionResponse Evaluation Criteria in Solid TumorsSkin NeoplasmsConceptsObjective response rateProgression-free survivalMerkel cell carcinomaAdvanced MCCAnti-programmed cell death-1 therapyCell death-1 pathway inhibitorsGreater treatment-related adverse eventsDeath-1 pathway inhibitorsMulticenter phase II trialTreatment-related adverse eventsAdvanced Merkel cell carcinomaDurable tumor controlManageable safety profileMedian OS timeMedian response durationSolid Tumors v1.1Treatment-related deathsTumor viral statusDate of patientsFirst-line chemotherapyFirst-line therapyMedian PFS timePhase II trialResponse Evaluation CriteriaOverall survival data
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 cohort
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
2009
Growth factor receptor-bound protein-7 (Grb7) as a prognostic marker and therapeutic target in breast cancer
Nadler Y, González AM, Camp RL, Rimm DL, Kluger HM, Kluger Y. Growth factor receptor-bound protein-7 (Grb7) as a prognostic marker and therapeutic target in breast cancer. Annals Of Oncology 2009, 21: 466-473. PMID: 19717535, PMCID: PMC2826097, DOI: 10.1093/annonc/mdp346.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overBiomarkers, TumorBlotting, WesternBreast NeoplasmsCarcinoma, Ductal, BreastCarcinoma, LobularFemaleFluorescent Antibody TechniqueFollow-Up StudiesGRB7 Adaptor ProteinHumansImage Processing, Computer-AssistedMiddle AgedPrognosisReceptor, ErbB-2Survival RateTissue Array AnalysisTumor Cells, CulturedYoung AdultConceptsHER2/neuBreast cancerPrognostic markerHER2/neu-positive breast cancerGRB7 expressionHigh HER2/neuNeu-positive breast cancerHER2/neu overexpressionPrimary breast cancerBreast cancer patientsIndependent prognostic markerNode-positive subsetValuable prognostic markerProtein 7Cy5-conjugated antibodiesMultivariable analysisWorse prognosisEntire cohortCancer patientsNeu overexpressionTissue microarrayTherapeutic targetCancerNeuPatients
2008
Expression patterns and prognostic value of Bag-1 and Bcl-2 in breast cancer
Nadler Y, Camp RL, Giltnane JM, Moeder C, Rimm DL, Kluger HM, Kluger Y. Expression patterns and prognostic value of Bag-1 and Bcl-2 in breast cancer. Breast Cancer Research 2008, 10: r35. PMID: 18430249, PMCID: PMC2397537, DOI: 10.1186/bcr1998.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAntineoplastic AgentsBiomarkers, TumorBreast NeoplasmsDNA-Binding ProteinsDrug Resistance, NeoplasmFemaleFluorescent Antibody TechniqueFollow-Up StudiesGene Expression Regulation, NeoplasticHumansImmunohistochemistryKaplan-Meier EstimateLymphatic MetastasisMiddle AgedPredictive Value of TestsPrognosisProportional Hazards ModelsProtein Array AnalysisProto-Oncogene Proteins c-bcl-2Receptors, EstrogenReceptors, ProgesteroneTranscription FactorsTreatment OutcomeConceptsNode-positive subsetHER2/neuProgesterone receptorBreast cancerEstrogen receptorBcl-2 expressionBAG-1 expressionImproved survivalBcl-2Anti-apoptotic mediator Bcl-2Breast tumorsSteroid receptor positivitySubset of patientsBAG-1Antihormonal therapyFavorable prognosisReceptor positivityMultivariable analysisPathological variablesEntire cohortPrognostic valuePrognostic markerImproved outcomesLarge cohortClinical development
2005
Evaluating the Expression and Prognostic Value of TRAIL-R1 and TRAIL-R2 in Breast Cancer
McCarthy MM, Sznol M, DiVito KA, Camp RL, Rimm DL, Kluger HM. Evaluating the Expression and Prognostic Value of TRAIL-R1 and TRAIL-R2 in Breast Cancer. Clinical Cancer Research 2005, 11: 5188-5194. PMID: 16033835, DOI: 10.1158/1078-0432.ccr-05-0158.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overBreast NeoplasmsCase-Control StudiesFemaleFollow-Up StudiesGene Expression ProfilingHumansMiddle AgedMultivariate AnalysisOligonucleotide Array Sequence AnalysisPrognosisReceptors, TNF-Related Apoptosis-Inducing LigandReceptors, Tumor Necrosis FactorSurvival AnalysisConceptsEarly-stage breast cancerTRAIL-R2 expressionBreast cancerPrognostic valueTRAIL-R2TRAIL-R1Normal breast specimensTumor necrosis factor-related apoptosis-inducing ligand receptor 1Lymph node involvementSubset of patientsBreast cancer patientsIndependent prognostic markerTRAIL-R1 expressionNormal breast epitheliumTRAIL receptor expressionLigand receptor 1Apoptosis-inducing ligand receptor 1Adjuvant treatmentNode involvementNodal statusPathologic variablesTumor sizeCancer patientsClinical trialsPrognostic marker