2021
Merkel Cell Carcinoma: Changing Practice Patterns and Impact on Recurrence-Free and Overall Survival at a Single Institution and Nationally
Esposito A, Jacobs D, Ariyan S, Galan A, Kluger H, Clune J, Weiss S, Tran T, Olino K. Merkel Cell Carcinoma: Changing Practice Patterns and Impact on Recurrence-Free and Overall Survival at a Single Institution and Nationally. Annals Of Surgical Oncology 2021, 29: 415-424. PMID: 34494169, PMCID: PMC8677689, DOI: 10.1245/s10434-021-10727-2.Peer-Reviewed Original ResearchConceptsDisease-specific survivalOverall survivalCT2 diseasePractice patternsSingle-institution retrospective reviewShorter disease-specific survivalActive cigarette smokersAdoption of immunotherapyMultivariable Cox regressionUse of immunotherapyUse of radiotherapyResultsOne hundred fiftyShorter overall survivalAggressive neuroendocrine carcinomaRisk of mortalitySurrogate outcome measureBackgroundMerkel cell carcinomaTreatment of MCCMCC managementImmunocompromised stateMCC patientsMedian ageUnknown primaryRetrospective reviewCigarette smokersAdverse 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
Deep 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 immunotherapyPatterns of failure after immunotherapy with checkpoint inhibitors predict durable progression-free survival after local therapy for metastatic melanoma
Klemen ND, Wang M, Feingold PL, Cooper K, Pavri SN, Han D, Detterbeck FC, Boffa DJ, Khan SA, Olino K, Clune J, Ariyan S, Salem RR, Weiss SA, Kluger HM, Sznol M, Cha C. Patterns of failure after immunotherapy with checkpoint inhibitors predict durable progression-free survival after local therapy for metastatic melanoma. Journal For ImmunoTherapy Of Cancer 2019, 7: 196. PMID: 31340861, PMCID: PMC6657062, DOI: 10.1186/s40425-019-0672-3.Peer-Reviewed Original ResearchConceptsThree-year progression-free survivalProgression-free survivalDisease-specific survivalFive-year disease-specific survivalPatterns of failureDurable progression-free survivalLocal therapyStereotactic body radiotherapyMetastatic melanomaNew metastasesPatient selectionIndependent radiological reviewOngoing complete responseResultsFour hundred twentyEvidence of diseaseCNS metastasisCPI treatmentImmunotherapy failureCheckpoint inhibitorsMost patientsProgressive diseaseRadiological reviewComplete responsePD-1PD-L1
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 pathway
2012
c-Met is a prognostic marker and potential therapeutic target in clear cell renal cell carcinoma
Gibney GT, Aziz SA, Camp RL, Conrad P, Schwartz BE, Chen CR, Kelly WK, Kluger HM. c-Met is a prognostic marker and potential therapeutic target in clear cell renal cell carcinoma. Annals Of Oncology 2012, 24: 343-349. PMID: 23022995, PMCID: PMC3551486, DOI: 10.1093/annonc/mds463.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overAntineoplastic AgentsBiomarkers, TumorCarcinoma, Renal CellCell Line, TumorCell ProliferationFemaleHepatocyte Growth FactorHumansIndolesKidney NeoplasmsMaleMiddle AgedPiperazinesPrognosisProto-Oncogene Proteins c-metPyrrolidinonesQuinolinesSulfonamidesTissue Array AnalysisConceptsRenal cell carcinomaClear cell renal cell carcinomaC-Met expressionCell renal cell carcinomaHigh c-Met expressionAdjacent normal renal tissuesNormal renal tissueARQ 197Cell carcinomaRenal tissueRCC tumorsTissue microarrayWorse disease-specific survivalC-MetClear cell RCC cell linesC-Met protein expressionCell linesPoor pathologic featuresCell subset analysisDisease-specific survivalPapillary renal cell carcinomaRange of malignanciesC-Met pathwayC-Met inhibitionPotential therapeutic target