2023
Validation of the Prognostic Usefulness of the Gene Expression Profiling Test in Patients with Uveal Melanoma
Miguez S, Lee R, Chan A, Demkowicz P, Jones B, Long C, Abramson D, Bosenberg M, Sznol M, Kluger H, Goldbaum M, Francis J, Pointdujour-Lim R, Bakhoum M. Validation of the Prognostic Usefulness of the Gene Expression Profiling Test in Patients with Uveal Melanoma. Ophthalmology 2023, 130: 598-607. PMID: 36739981, PMCID: PMC10619207, DOI: 10.1016/j.ophtha.2023.01.020.Peer-Reviewed Original ResearchConceptsMetastasis-free survivalRisk of metastasisClass 2 tumorsAdditional prognostic valueRate of metastasisPrognostic usefulnessTumor sizeTumor characteristicsPrognostic valueUveal melanomaGene expression profile testingMemorial Sloan-Kettering Cancer CenterGEP classificationCox hazard regression analysisYale-New Haven HospitalHazards regression analysisGene expression profiling testsNew Haven HospitalClass 1 tumorsGEP class 2Class 1AMean followTumor thicknessCancer CenterSurveillance protocol
2022
Emerging Studies of Melanoma Brain Metastasis
Caulfield JI, Kluger HM. Emerging Studies of Melanoma Brain Metastasis. Current Oncology Reports 2022, 24: 585-594. PMID: 35212922, DOI: 10.1007/s11912-022-01237-9.Peer-Reviewed Original ResearchConceptsMelanoma brain metastasesBrain metastasesClinical studiesTreatment approachesRecent FindingsClinical trialsImmune checkpoint inhibitorsAdditional treatment approachesRecent preclinical studiesNew treatment approachesCentral nervous systemBrain disseminationCheckpoint inhibitorsSignificant morbidityPerilesional edemaRadiation necrosisPatient populationClinical challengePreclinical studiesNervous systemSolid tumorsEmerging studiesMetastasisTumor microenvironmentDisease controlTumor homing
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 diagnosisIncidence and characteristics of metastatic intracranial lesions in stage III and IV melanoma: a single institute retrospective analysis
Sandhu MRS, Chiang VL, Tran T, Yu JB, Weiss S, Goldberg S, Aboian M, Kluger HM, Mahajan A. Incidence and characteristics of metastatic intracranial lesions in stage III and IV melanoma: a single institute retrospective analysis. Journal Of Neuro-Oncology 2021, 154: 197-203. PMID: 34351544, DOI: 10.1007/s11060-021-03813-8.Peer-Reviewed Original ResearchMeSH KeywordsBrain NeoplasmsHumansIncidenceMaleMelanomaPrognosisRetrospective StudiesTesticular NeoplasmsConceptsStage IV melanomaMetastatic brain lesionsStage IIIInitial diagnosisTumor RegistryOverall incidenceBrain lesionsBM incidenceSingle-institute retrospective analysisBM developmentBrain metastases incidenceIncidence of BMInstitution's tumor registryStage III patientsTime of diagnosisMetastatic intracranial lesionsCommon genetic mutationsTumor genetic profileGenetic profileBM occurrenceMedian durationAdvanced melanomaSurveillance regimenIII patientsMedian timeAnalysis of multispectral imaging with the AstroPath platform informs efficacy of PD-1 blockade
Berry S, Giraldo NA, Green BF, Cottrell TR, Stein JE, Engle EL, Xu H, Ogurtsova A, Roberts C, Wang D, Nguyen P, Zhu Q, Soto-Diaz S, Loyola J, Sander IB, Wong PF, Jessel S, Doyle J, Signer D, Wilton R, Roskes JS, Eminizer M, Park S, Sunshine JC, Jaffee EM, Baras A, De Marzo AM, Topalian SL, Kluger H, Cope L, Lipson EJ, Danilova L, Anders RA, Rimm DL, Pardoll DM, Szalay AS, Taube JM. Analysis of multispectral imaging with the AstroPath platform informs efficacy of PD-1 blockade. Science 2021, 372 PMID: 34112666, PMCID: PMC8709533, DOI: 10.1126/science.aba2609.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overAntigens, CDAntigens, Differentiation, MyelomonocyticAntineoplastic Agents, ImmunologicalB7-H1 AntigenBiomarkers, TumorCD8 AntigensFemaleFluorescent Antibody TechniqueForkhead Transcription FactorsHumansImmune Checkpoint ProteinsMacrophagesMaleMelanomaMiddle AgedPrognosisProgrammed Cell Death 1 ReceptorProgression-Free SurvivalReceptors, Cell SurfaceSingle-Cell AnalysisSOXE Transcription FactorsT-Lymphocyte SubsetsTreatment OutcomeTumor MicroenvironmentConceptsAnti-programmed cell death 1Anti-PD-1 blockadePD-1 blockadeCell death 1Tissue-based biomarkersLong-term survivalTumor tissue sectionsDeath-1PD-1PD-L1Immunoregulatory moleculesT cellsIndependent cohortMyeloid cellsMelanoma specimensMultiple cell typesTissue sectionsLow/BlockadeCell typesDistinct expression patternsExpression patternsImagingCD8Foxp3Intratumour microbiome associated with the infiltration of cytotoxic CD8+ T cells and patient survival in cutaneous melanoma
Zhu G, Su H, Johnson CH, Khan SA, Kluger H, Lu L. Intratumour microbiome associated with the infiltration of cytotoxic CD8+ T cells and patient survival in cutaneous melanoma. European Journal Of Cancer 2021, 151: 25-34. PMID: 33962358, PMCID: PMC8184628, DOI: 10.1016/j.ejca.2021.03.053.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAgedAged, 80 and overBacteriaBacterial LoadBacterial TranslocationChemokinesClostridialesCytotoxicity, ImmunologicFemaleGastrointestinal MicrobiomeHumansLymphocyte CountLymphocytes, Tumor-InfiltratingMaleMelanomaMiddle AgedPrognosisSkin NeoplasmsT-Lymphocytes, CytotoxicTumor MicroenvironmentYoung AdultConceptsT cellsCutaneous melanomaPatient survivalGut microbiomeAdjusted hazard ratioT cell infiltrationChemokine gene expressionChemokine levelsCytotoxic CD8Hazard ratioSystemic inflammationShorter survivalCCL5 expressionPatient outcomesCD8Immune responseMortality riskGut microbiotaSurvival analysisMelanomaTumor nicheHuman cancersSurvivalSignificant correlationPositive associationAutomated 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
Quantitative analysis of CMTM6 expression in tumor microenvironment in metastatic melanoma and association with outcome on immunotherapy
Martinez-Morilla S, Zugazagoitia J, Wong PF, Kluger HM, Rimm DL. Quantitative analysis of CMTM6 expression in tumor microenvironment in metastatic melanoma and association with outcome on immunotherapy. OncoImmunology 2020, 10: 1864909. PMID: 33457084, PMCID: PMC7781756, DOI: 10.1080/2162402x.2020.1864909.Peer-Reviewed Original ResearchConceptsImmune checkpoint inhibitorsPD-L1CMTM6 expressionControl patientsLonger survivalTissue microarrayQuantitative immunofluorescenceEffectiveness of immunotherapyMetastatic melanoma patientsDeath ligand 1Like MARVEL transmembrane domainCancer Genome Atlas (TCGA) databaseExpression of CMTM6MARVEL transmembrane domainExpression of mRNAChemokine-like factorICI treatmentCheckpoint inhibitorsPretreatment biopsiesCD68 markersImmune compartmentMultivariable analysisMelanoma patientsImmune-related proteinsPredictive factorsRegulation 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
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 specimensSafety, 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 reactionHigh-Plex Predictive Marker Discovery for Melanoma Immunotherapy–Treated Patients Using Digital Spatial Profiling
Toki MI, Merritt CR, Wong PF, Smithy JW, Kluger HM, Syrigos KN, Ong GT, Warren SE, Beechem JM, Rimm DL. High-Plex Predictive Marker Discovery for Melanoma Immunotherapy–Treated Patients Using Digital Spatial Profiling. Clinical Cancer Research 2019, 25: 5503-5512. PMID: 31189645, PMCID: PMC6744974, DOI: 10.1158/1078-0432.ccr-19-0104.Peer-Reviewed Original ResearchMeSH KeywordsAntineoplastic Agents, ImmunologicalBiomarkers, TumorFemaleFluorescent Antibody TechniqueHumansImmunohistochemistryImmunotherapyLymphocytes, Tumor-InfiltratingMaleMelanomaMolecular Diagnostic TechniquesMolecular Targeted TherapyPrognosisProportional Hazards ModelsTissue Array AnalysisTreatment OutcomeConceptsNon-small cell lung cancerProlonged progression-free survivalDigital spatial profilingOverall survivalPD-L1Predictive markerPD-L1 expressionProgression-free survivalProtein expressionCell lung cancerNovel predictive markerCD68-positive cellsStromal CD3Melanoma immunotherapyImmune markersImmune therapyPrognostic valueLung cancerAntibody cocktailTissue microarrayQuantitative fluorescenceOutcome assessmentTumor cellsHigh concordanceMultiple biomarkersTreatment-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 ResearchConceptsTreatment-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 analysisBrain Metastasis From Renal-Cell Carcinoma: An Institutional Study
Suarez-Sarmiento A, Nguyen KA, Syed JS, Nolte A, Ghabili K, Cheng M, Liu S, Chiang V, Kluger H, Hurwitz M, Shuch B. Brain Metastasis From Renal-Cell Carcinoma: An Institutional Study. Clinical Genitourinary Cancer 2019, 17: e1163-e1170. PMID: 31519468, DOI: 10.1016/j.clgc.2019.08.006.Peer-Reviewed Original ResearchConceptsRCC brain metastasesRecurrence-free survivalRenal cell carcinomaBrain metastasesOverall survivalClinical trialsAdvanced renal cell carcinomaCentral nervous system treatmentClear cell renal cell carcinomaMedian overall survivalSingle institution experienceGood local controlKaplan-Meier methodAggressive therapyCNS recurrenceTreatment eraCumulative incidenceExtracranial metastasesMetastatic diseaseSystemic therapyInitial presentationLocal therapyClinical symptomsRCC patientsCell carcinoma
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
2016
The Treatment of Melanoma Brain Metastases
Kibbi N, Kluger H. The Treatment of Melanoma Brain Metastases. Current Oncology Reports 2016, 18: 73. PMID: 27822695, DOI: 10.1007/s11912-016-0555-4.Peer-Reviewed Original ResearchConceptsMelanoma brain metastasesBrain metastasesSystemic therapyClinical trialsAsymptomatic brain metastasesPrognosis of patientsUntreated brain metastasesPopulation of patientsOngoing clinical trialsCentral nervous systemMBM patientsCerebral edemaTreatment landscapeImproved survivalIntracranial metastasesMetastatic melanomaStereotactic radiosurgeryNew therapiesLocal modalitiesNervous systemPatientsDrug AdministrationRegistration trialsMetastasisEarly interventionRenalase 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 reduction