2024
TIGIT expression in renal cell carcinoma infiltrating T cells is variable and inversely correlated with PD-1 and LAG3
Perales O, Jilaveanu L, Adeniran A, Su D, Hurwitz M, Braun D, Kluger H, Schoenfeld D. TIGIT expression in renal cell carcinoma infiltrating T cells is variable and inversely correlated with PD-1 and LAG3. Cancer Immunology, Immunotherapy 2024, 73: 192. PMID: 39105820, PMCID: PMC11303630, DOI: 10.1007/s00262-024-03773-8.Peer-Reviewed Original ResearchConceptsRenal cell carcinomaRenal cell carcinoma tumorsT cellsTIGIT expressionCheckpoint inhibitorsPD-1Likelihood of response to therapyTumor-infiltrating T cellsCD3+ T cellsRenal cell carcinoma metastasisTreatment of renal cell carcinomaImmune checkpoint inhibitorsInfiltrating T cellsPurposeImmune checkpoint inhibitorsResponse to therapyT cell immunoglobulinCD3+ levelsMetastatic RCC specimensAdjacent normal renal tissuesNormal renal tissuesQuantitative immunofluorescence analysisCell carcinomaResistant diseasePotential therapeutic targetTissue microarrayGP100 expression is variable in intensity in melanoma
Mann J, Hasson N, Su D, Adeniran A, Smalley K, Djureinovic D, Jilaveanu L, Schoenfeld D, Kluger H. GP100 expression is variable in intensity in melanoma. Cancer Immunology, Immunotherapy 2024, 73: 191. PMID: 39105816, PMCID: PMC11303354, DOI: 10.1007/s00262-024-03776-5.Peer-Reviewed Original ResearchMeSH KeywordsAgedBiomarkers, TumorFemaleGp100 Melanoma AntigenHumansImmunohistochemistryMaleMelanomaMiddle AgedSkin NeoplasmsConceptsGp100 expressionCutaneous melanomaTreatment of cutaneous melanomaAdvanced cutaneous melanomaT-cell engagersImprove patient selectionMetastatic melanomaUveal melanomaMetastatic samplesPatient selectionClinical trialsMelanomaQuantitative immunofluorescence methodGp100Improve outcomesImmunofluorescence methodTherapeutic intentDrugCellular productsExpressionTebentafuspImmunohistochemistryMelanocortin-1 Receptor Expression as a Marker of Progression in Melanoma
Su D, Djureinovic D, Schoenfeld D, Marquez-Nostra B, Olino K, Jilaveanu L, Kluger H. Melanocortin-1 Receptor Expression as a Marker of Progression in Melanoma. JCO Precision Oncology 2024, 8: e2300702. PMID: 38662983, PMCID: PMC11513442, DOI: 10.1200/po.23.00702.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedBiomarkers, TumorDisease ProgressionFemaleHumansMaleMelanomaMiddle AgedReceptor, Melanocortin, Type 1Skin NeoplasmsConceptsMC1R expressionMelanoma progressionAssociated with shorter survivalStages of melanoma progressionCases of benign neviChronic sun exposureMarkers of progressionHuman melanoma tissuesBreslow thicknessMelanocortin-1Metastatic melanomaOverall survivalPrimary melanomaMetastatic tumorsMelanoma cohortReceptor expressionPredictive biomarkersAggressive melanomaPrimary lesionTissue microarrayShorter survivalMale sexQuantitative immunofluorescenceBenign neviClinical trialsDigital spatial proteomic profiling reveals immune checkpoints as biomarkers in lymphoid aggregates and tumor microenvironment of desmoplastic melanoma
Su D, Schoenfeld D, Ibrahim W, Cabrejo R, Djureinovic D, Baumann R, Rimm D, Khan S, Halaban R, Kluger H, Olino K, Galan A, Clune J. Digital spatial proteomic profiling reveals immune checkpoints as biomarkers in lymphoid aggregates and tumor microenvironment of desmoplastic melanoma. Journal For ImmunoTherapy Of Cancer 2024, 12: e008646. PMID: 38519058, PMCID: PMC10961546, DOI: 10.1136/jitc-2023-008646.Peer-Reviewed Original ResearchMeSH KeywordsActinsBiomarkers, TumorCTLA-4 AntigenHumansMelanomaProgrammed Cell Death 1 ReceptorProteomicsTumor MicroenvironmentConceptsCTLA-4 expression levelsCancer-associated fibroblastsAssociated with worse survivalExpression of immune checkpointsLAG-3 expressionDesmoplastic melanomaLymphoid aggregatesCTLA-4PD-1Immune checkpointsIntratumoral leukocytesLAG-3Tumor compartmentsWorse survivalCD20+B cellsIncreased expression of immune checkpointsProgrammed cell death protein 1Macrophage/monocyte markerSentinel lymph node positivityCell death protein 1Associated with poor prognosisLymph node positivityDense fibrous stromaPotential prognostic significanceCore of tumors
2021
Spatially resolved analysis of the T cell immune contexture in lung cancer-associated brain metastases
Lu BY, Gupta R, Aguirre-Ducler A, Gianino N, Wyatt H, Ribeiro M, Chiang VL, Contessa JN, Adeniran AJ, Jilaveanu LB, Kluger HM, Schalper KA, Goldberg SB. Spatially resolved analysis of the T cell immune contexture in lung cancer-associated brain metastases. Journal For ImmunoTherapy Of Cancer 2021, 9: e002684. PMID: 34670827, PMCID: PMC8529973, DOI: 10.1136/jitc-2021-002684.Peer-Reviewed Original ResearchConceptsPrimary lung tumorsT cell subsetsMajor T cell subsetsMultiplexed quantitative immunofluorescenceLung tumorsT cellsCoinhibitory receptorsTim-3Cell subsetsBrain metastasesQuantitative immunofluorescenceHigh LAG-3 expressionTumor PD-L1 expressionPD-L1 protein expressionLymphocyte activation gene-3Low T cell infiltrationHigh TIM-3Major clinicopathological variablesPD-L1 expressionLAG-3 expressionT cell infiltrationTumor-infiltrating lymphocytesLonger overall survivalCell death 1Tumor immune microenvironmentAnalysis 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 patternsImagingCD8Foxp3Biomarker Discovery in Patients with Immunotherapy-Treated Melanoma with Imaging Mass CytometryMultiplex Discovery with Imaging Mass Cytometry
Martinez-Morilla S, Villarroel-Espindola F, Wong PF, Toki MI, Aung TN, Pelekanou V, Bourke-Martin B, Schalper KA, Kluger HM, Rimm DL. Biomarker Discovery in Patients with Immunotherapy-Treated Melanoma with Imaging Mass CytometryMultiplex Discovery with Imaging Mass Cytometry. Clinical Cancer Research 2021, 27: 1987-1996. PMID: 33504554, PMCID: PMC8026677, DOI: 10.1158/1078-0432.ccr-20-3340.Peer-Reviewed Original Research
2020
Pembrolizumab for management of patients with NSCLC and brain metastases: long-term results and biomarker analysis from a non-randomised, open-label, phase 2 trial
Goldberg SB, Schalper KA, Gettinger SN, Mahajan A, Herbst RS, Chiang AC, Lilenbaum R, Wilson FH, Omay SB, Yu JB, Jilaveanu L, Tran T, Pavlik K, Rowen E, Gerrish H, Komlo A, Gupta R, Wyatt H, Ribeiro M, Kluger Y, Zhou G, Wei W, Chiang VL, Kluger HM. Pembrolizumab for management of patients with NSCLC and brain metastases: long-term results and biomarker analysis from a non-randomised, open-label, phase 2 trial. The Lancet Oncology 2020, 21: 655-663. PMID: 32251621, PMCID: PMC7380514, DOI: 10.1016/s1470-2045(20)30111-x.Peer-Reviewed Original ResearchConceptsBrain metastasis responseYale Cancer CenterPD-L1 expressionPhase 2 trialUntreated brain metastasesBrain metastasesAdrenal insufficiencyAdverse eventsMetastasis responseCNS diseaseCancer CenterCohort 2Cohort 1Eastern Cooperative Oncology Group performance statusTreatment-related serious adverse eventsModified Response Evaluation CriteriaStage IV NSCLCTreatment-related deathsAcute kidney injuryPD-1 blockadeSerious adverse eventsSolid Tumors criteriaPhase 2 studyProportion of patientsResponse Evaluation CriteriaDefining tumor resistance to PD-1 pathway blockade: recommendations from the first meeting of the SITC Immunotherapy Resistance Taskforce
Kluger HM, Tawbi HA, Ascierto ML, Bowden M, Callahan MK, Cha E, Chen HX, Drake CG, Feltquate DM, Ferris RL, Gulley JL, Gupta S, Humphrey RW, LaVallee TM, Le DT, Hubbard-Lucey VM, Papadimitrakopoulou VA, Postow MA, Rubin EH, Sharon E, Taube JM, Topalian SL, Zappasodi R, Sznol M, Sullivan RJ. Defining tumor resistance to PD-1 pathway blockade: recommendations from the first meeting of the SITC Immunotherapy Resistance Taskforce. Journal For ImmunoTherapy Of Cancer 2020, 8: e000398. PMID: 32238470, PMCID: PMC7174063, DOI: 10.1136/jitc-2019-000398.Peer-Reviewed Original ResearchMeSH KeywordsBiomarkers, TumorFemaleHumansImmunotherapyMaleNeoplasmsProgrammed Cell Death 1 ReceptorConceptsCancer immunotherapyClinical definitionNew agentsPD-1/PD-L1 blockadePD-1 pathway blockadeConsensus clinical definitionPD-L1 blockadeDeath receptor-1Immunotherapy of cancerStandard of careClinical trial designTreatment discontinuationMechanisms of resistancePathway blockadeClinical trialsConfirmatory scanPrimary resistancePatient benefitSecondary resistanceTrial designTreatment approachesUnmet needReceptor 1Tumor resistancePattern of response
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 biomarkersMultiplex quantitative analysis of cancer-associated fibroblasts and immunotherapy outcome in metastatic melanoma
Wong PF, Wei W, Gupta S, Smithy JW, Zelterman D, Kluger HM, Rimm DL. Multiplex quantitative analysis of cancer-associated fibroblasts and immunotherapy outcome in metastatic melanoma. Journal For ImmunoTherapy Of Cancer 2019, 7: 194. PMID: 31337426, PMCID: PMC6651990, DOI: 10.1186/s40425-019-0675-0.Peer-Reviewed Original ResearchConceptsProgression-free survivalBest overall responseSmooth muscle actinOverall survivalCell countQuantitative immunofluorescenceImmune markersImmunotherapy outcomesMelanoma patientsSignificant progression-free survivalAnti-PD-1 therapyAbsence of immunotherapyPretreatment tumor specimensImmune checkpoint blockadeCell death 1Cancer-associated fibroblast (CAF) populationNegative prognostic biomarkerCancer-associated fibroblastsWhole tissue sectionsOverall responseOS associationCAF parametersCheckpoint blockadeImmune dysregulationDeath-1Multiplex Quantitative Analysis of Tumor-Infiltrating Lymphocytes and Immunotherapy Outcome in Metastatic Melanoma
Wong PF, Wei W, Smithy JW, Acs B, Toki MI, Blenman K, Zelterman D, Kluger HM, Rimm DL. Multiplex Quantitative Analysis of Tumor-Infiltrating Lymphocytes and Immunotherapy Outcome in Metastatic Melanoma. Clinical Cancer Research 2019, 25: 2442-2449. PMID: 30617133, PMCID: PMC6467753, DOI: 10.1158/1078-0432.ccr-18-2652.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overAntineoplastic Agents, ImmunologicalBiomarkersBiomarkers, TumorFemaleFluorescent Antibody TechniqueHumansImmunohistochemistryImmunotherapyKaplan-Meier EstimateLymphocytes, Tumor-InfiltratingMaleMelanomaMiddle AgedMolecular Targeted TherapyNeoplasm StagingROC CurveT-Lymphocyte SubsetsConceptsCell countTIL activationQuantitative immunofluorescenceLymphocytic infiltrationMelanoma patientsMetastatic melanomaAnti-PD-1 responseAnti-PD-1 therapyCell death 1 (PD-1) inhibitionAbsence of immunotherapyDeath-1 (PD-1) inhibitionDisease control rateProgression-free survivalCD8 cell countsTumor-Infiltrating LymphocytesNew predictive biomarkersWhole tissue sectionsRECIST 1.1Progressive diseaseDurable responsesObjective responsePartial responseImmunotherapy outcomesLymphocyte profilesMultivariable analysisTranscriptomic Hallmarks of Tumor Plasticity and Stromal Interactions in Brain Metastasis
Wingrove E, Liu ZZ, Patel KD, Arnal-Estapé A, Cai WL, Melnick MA, Politi K, Monteiro C, Zhu L, Valiente M, Kluger HM, Chiang VL, Nguyen DX. Transcriptomic Hallmarks of Tumor Plasticity and Stromal Interactions in Brain Metastasis. Cell Reports 2019, 27: 1277-1292.e7. PMID: 31018140, PMCID: PMC6592283, DOI: 10.1016/j.celrep.2019.03.085.Peer-Reviewed Original ResearchConceptsBrain metastasesBrain tumor microenvironmentLineage programTumor microenvironmentTumor plasticityStromal gene expressionTranscriptomic hallmarksGene expressionTranscriptional hallmarksMultiple tumor typesMolecular landscapeStromal interactionsMajor siteIntact tissueNeuroinflammatory responseSyngeneic modelPatient biopsiesTumor typesMetastasisMalignant cellsDifferent subtypesTumor cellsHallmarkTranscriptomeCells
2018
Merkel cell polyomavirus-specific immune responses in patients with Merkel cell carcinoma receiving anti-PD-1 therapy
Miller NJ, Church CD, Fling SP, Kulikauskas R, Ramchurren N, Shinohara MM, Kluger HM, Bhatia S, Lundgren L, Cheever MA, Topalian SL, Nghiem P. Merkel cell polyomavirus-specific immune responses in patients with Merkel cell carcinoma receiving anti-PD-1 therapy. Journal For ImmunoTherapy Of Cancer 2018, 6: 131. PMID: 30482247, PMCID: PMC6258401, DOI: 10.1186/s40425-018-0450-7.Peer-Reviewed Original ResearchMeSH KeywordsAntineoplastic Agents, ImmunologicalBiomarkers, TumorB-LymphocytesCarcinoma, Merkel CellHumansImmunomodulationLymphocyte ActivationMerkel cell polyomavirusMolecular Targeted TherapyPolyomavirus InfectionsProgrammed Cell Death 1 ReceptorReceptors, Antigen, T-CellT-Cell Antigen Receptor SpecificityT-LymphocytesTreatment OutcomeTumor Virus InfectionsConceptsAnti-PD-1 therapyPeripheral blood mononuclear cellsB cell responsesCell responsesCell carcinomaT cellsDiverse T-cell responsePD-1 blockade therapyPre-treatment tumor biopsiesVirus-specific T cellsT-cell receptor clonalityVP-MCCCancer-specific immunityIntratumoral TCR repertoirePD-1 blockadeTumor-specific immunityT cell responsesBlood mononuclear cellsMerkel cell carcinomaAggressive skin cancerBackgroundMerkel cell carcinomaVirus-negative tumorsMerkel cell polyomavirusPresence of antigenMethodsImmune responsesGenomic Heterogeneity and the Small Renal Mass
Ueno D, Xie Z, Boeke M, Syed J, Nguyen KA, McGillivray P, Adeniran A, Humphrey P, Dancik GM, Kluger Y, Liu Z, Kluger H, Shuch B. Genomic Heterogeneity and the Small Renal Mass. Clinical Cancer Research 2018, 24: 4137-4144. PMID: 29760223, PMCID: PMC6125159, DOI: 10.1158/1078-0432.ccr-18-0214.Peer-Reviewed Original Research
2017
PD-L1 Studies Across Tumor Types, Its Differential Expression and Predictive Value in Patients Treated with Immune Checkpoint Inhibitors
Kluger HM, Zito CR, Turcu G, Baine M, Zhang H, Adeniran A, Sznol M, Rimm DL, Kluger Y, Chen L, Cohen JV, Jilaveanu LB. PD-L1 Studies Across Tumor Types, Its Differential Expression and Predictive Value in Patients Treated with Immune Checkpoint Inhibitors. Clinical Cancer Research 2017, 23: 4270-4279. PMID: 28223273, PMCID: PMC5540774, DOI: 10.1158/1078-0432.ccr-16-3146.Peer-Reviewed Original ResearchConceptsNon-small cell lung cancerPD-L1 expressionRenal cell carcinomaPD-1 inhibitorsCell carcinomaImmune-infiltrating cellsMelanoma patientsPD-L1Tumor cellsTumor typesTumor-associated inflammatory cellsCTLA-4 inhibitorsCell lung cancerRenal cell carcinoma cellsHigh response rateClin Cancer ResCell linesMelanoma tumor cellsPD-1Multivariable analysisNSCLC specimensInflammatory cellsLung cancerTissue microarrayResponse rate
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