2023
Determinants of overall survival in patients with metastatic uveal melanoma
Demkowicz P, Pointdujour‐Lim R, Miguez S, Lee Y, Jones B, Barker C, Bosenberg M, Abramson D, Shoushtari A, Kluger H, Francis J, Sznol M, Bakhoum M. Determinants of overall survival in patients with metastatic uveal melanoma. Cancer 2023, 129: 3275-3286. PMID: 37382208, PMCID: PMC11149607, DOI: 10.1002/cncr.34927.Peer-Reviewed Original ResearchConceptsAnti-PD-1 therapyMetastatic uveal melanomaDeath hazard ratioImmune checkpoint inhibitorsOverall survivalHazard ratioUveal melanomaSurvival outcomesFemale sexCheckpoint inhibitorsECOG scoreValidation cohortEastern Cooperative Oncology Group performance status scaleGood baseline performance statusMetastatic uveal melanoma patientsMetastatic UM patientsImproved overall survivalMedian overall survivalBaseline performance statusBetter survival outcomesImproved survival outcomesPotential of immunotherapyWorse survival outcomesImmune checkpoint therapyKaplan-Meier analysis
2022
Association between immune-mediated adverse events and efficacy in metastatic non-small-cell lung cancer patients treated with durvalumab and tremelimumab
Dey A, Austin M, Kluger H, Trunova N, Mann H, Shire N, Morgan C, Zhou D, Mugundu G. Association between immune-mediated adverse events and efficacy in metastatic non-small-cell lung cancer patients treated with durvalumab and tremelimumab. Frontiers In Immunology 2022, 13: 1026964. PMID: 36405729, PMCID: PMC9670978, DOI: 10.3389/fimmu.2022.1026964.Peer-Reviewed Original ResearchConceptsCell lung cancer patientsLung cancer patientsAdverse eventsBaseline characteristicsOverall survivalCancer patientsMultivariate Cox proportional hazards modelImmune-mediated adverse eventsCox proportional hazards modelIndividual patient-level dataImmune checkpoint inhibitorsImproved overall survivalEfficacy of immunotherapyPatient demographic featuresOptimal clinical benefitPatient-level dataProportional hazards modelCheckpoint inhibitorsCombination armLaboratory featuresSteroid treatmentClinical benefitPatient survivalPatient populationHigher odds
2020
Primary Treatment Selection for Clinically Node-Negative Merkel Cell Carcinoma of the Head and Neck
Jacobs D, Olino K, Park HS, Clune J, Cheraghlou S, Girardi M, Burtness B, Kluger H, Judson BL. Primary Treatment Selection for Clinically Node-Negative Merkel Cell Carcinoma of the Head and Neck. Otolaryngology 2020, 164: 1214-1221. PMID: 33079010, DOI: 10.1177/0194599820967001.Peer-Reviewed Original ResearchConceptsNode-negative Merkel cell carcinomaLymph node evaluationImproved overall survivalPrimary tumor excisionMerkel cell carcinomaCase volumeOverall survivalSurgical managementCell carcinomaTumor excisionTreatment selectionNode evaluationCox proportional hazards regressionGuideline-recommended carePrimary treatment selectionNational Cancer DatabaseNode-negative diseasePercentage of patientsRetrospective cohort analysisInitial surgical managementKaplan-Meier analysisWide local excisionProportional hazards regressionRates of receiptInitial management
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 cohort
2017
Microvessel density as a prognostic marker in high-risk renal cell carcinoma.
Weiss S, Puligandla M, Jilaveanu L, Haas N, Wang X, Zito C, Boeke M, Neumeister V, Manola J, DiPaola R, Kluger H. Microvessel density as a prognostic marker in high-risk renal cell carcinoma. Journal Of Clinical Oncology 2017, 35: 4565-4565. DOI: 10.1200/jco.2017.35.15_suppl.4565.Peer-Reviewed Original ResearchHigher microvessel densityRenal cell carcinomaDisease-free survivalHigh-risk renal cell carcinomaOverall survivalMicrovessel densityTreatment armsEntire cohortCell carcinomaNephrectomy specimensGrade I/IIVascular endothelial growth factor (VEGF) pathwayStratified log-rank testEndothelial growth factor pathwayClear cell renal cell carcinomaImproved overall survivalCell renal cell carcinomaClear cell histologyShorter overall survivalLog-rank testTumor microvessel densityAbsence of necrosisGrowth factor pathwaysAdjuvant sunitinibImproved OS
2016
Copy 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
2015
Characterization of PD-L1 Expression and Associated T-cell Infiltrates in Metastatic Melanoma Samples from Variable Anatomic Sites
Kluger HM, Zito CR, Barr ML, Baine MK, Chiang VL, Sznol M, Rimm DL, Chen L, Jilaveanu LB. Characterization of PD-L1 Expression and Associated T-cell Infiltrates in Metastatic Melanoma Samples from Variable Anatomic Sites. Clinical Cancer Research 2015, 21: 3052-3060. PMID: 25788491, PMCID: PMC4490112, DOI: 10.1158/1078-0432.ccr-14-3073.Peer-Reviewed Original ResearchConceptsPD-L1 expressionT-cell contentPD-1/PD-L1 inhibitorsHigher T-cell contentT-cell infiltratesPD-L1 inhibitorsAnatomic sitesBrain metastasesMetastatic melanomaTissue microarrayHigh PD-L1 expressionLess PD-L1 expressionLow PD-L1 expressionTumor PD-L1 expressionHigher TIL contentImproved overall survivalT cell infiltrationLess T cellsMetastatic melanoma samplesExtracerebral metastasesCerebral metastasesOverall survivalDermal metastasesImproved survivalPD-L1