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 microarrayPatterns of brain metastases response to immunotherapy with pembrolizumab
Mahajan A, Goldberg S, Weiss S, Tran T, Singh K, Joshi K, Aboian M, Kluger H, Chiang V. Patterns of brain metastases response to immunotherapy with pembrolizumab. Journal Of Neuro-Oncology 2024, 169: 555-561. PMID: 38963658, DOI: 10.1007/s11060-024-04754-8.Peer-Reviewed Original ResearchNon-small cell lung cancerBrain metastasesComplete resolutionLung cancerMedian time to CNS progressionLesion progressionNon-small cell lung cancer patientsModified RECIST criteriaPD-1 inhibitorsTrial of pembrolizumabEffective systemic treatmentResponse to immunotherapyPhase II trialCell lung cancerMethodsThis retrospective studyLocal treatment decisionsPurposeCentral nervous systemCNS progressionRECIST criteriaPD-1Local therapySystemic treatmentMRI evaluationResponse assessmentRetrospective studyDigital 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 ResearchConceptsCTLA-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
2023
Lenvatinib or anti-VEGF in combination with anti-PD-1 differentially augments anti-tumor activity in melanoma
Tran T, Caulfield J, Zhang L, Schoenfeld D, Djureinovic D, Chiang V, Oria V, Weiss S, Olino K, Jilaveanu L, Kluger H. Lenvatinib or anti-VEGF in combination with anti-PD-1 differentially augments anti-tumor activity in melanoma. JCI Insight 2023, 8: e157347. PMID: 36821392, PMCID: PMC10132152, DOI: 10.1172/jci.insight.157347.Peer-Reviewed Original ResearchConceptsTumor microenvironmentAnti-VEGFCytokine/chemokine signalingCytokine/chemokine profilingBlood-brain barrier modelBlood vesselsLeukocyte transmigrationTumor-associated blood vesselsTumor-associated macrophagesIntratumoral blood vesselsAnti-angiogenesis effectAnti-tumor activityExtracranial diseasePlasmacytoid DCsImmune checkpointsPD-1Melanoma murine modelImmune infiltrationBBB modelChemokine profilingEndothelial stabilizationMurine modelLenvatinibCombined targetingMelanoma model
2021
Analysis 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 patternsImagingCD8Foxp3
2020
Survival after checkpoint inhibitors for metastatic acral, mucosal and uveal melanoma
Klemen ND, Wang M, Rubinstein JC, Olino K, Clune J, Ariyan S, Cha C, Weiss SA, Kluger HM, Sznol M. Survival after checkpoint inhibitors for metastatic acral, mucosal and uveal melanoma. Journal For ImmunoTherapy Of Cancer 2020, 8: e000341. PMID: 32209601, PMCID: PMC7103823, DOI: 10.1136/jitc-2019-000341.Peer-Reviewed Original ResearchConceptsCheckpoint inhibitorsOverall survivalMetastatic melanomaPrimary tumorLocal therapyCutaneous melanomaAnti-PD-1 antibodyAggressive multidisciplinary approachCutaneous primary tumorPrimary tumor histologyMedian overall survivalSingle institutional experienceRare melanoma subtypeMedian OSMetastatic diseaseProgressive diseaseAcral skinComplete responsePD-1PD-L1Uveal tractTumor histologyCombination therapyCTLA-4Longer survival
2019
Patterns 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-L1Baseline tumor-immune signatures associated with response to bempegaldesleukin (NKTR-214) and nivolumab.
Hurwitz M, Cho D, Balar A, Curti B, Siefker-Radtke A, Sznol M, Kluger H, Bernatchez C, Fanton C, Iacucci E, Liu Y, Nguyen T, Overwijk W, Zalevsky J, Tagliaferri M, Hoch U, Diab A. Baseline tumor-immune signatures associated with response to bempegaldesleukin (NKTR-214) and nivolumab. Journal Of Clinical Oncology 2019, 37: 2623-2623. DOI: 10.1200/jco.2019.37.15_suppl.2623.Peer-Reviewed Original ResearchPD-L1CD8 TILsResponse rateAnti-PD-1 therapyOngoing phase 1/2 studyPre-treatment tumor biopsiesTumor microenvironmentBaseline immune signaturesSurface PD-1Tumor immune signaturePhase 1/2 studyAdvanced solid tumorsUrothelial carcinoma patientsFavorable tumor microenvironmentBaseline immune phenotypeLow groupMedian valueRECIST 1.1Baseline demographicsImmune signaturesPrognostic factorsCarcinoma patientsPD-1Biomarker subgroupsImmune cells
2018
A 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
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
PD-1 Blockade with Pembrolizumab in Advanced Merkel-Cell Carcinoma
Nghiem PT, Bhatia S, Lipson EJ, Kudchadkar RR, Miller NJ, Annamalai L, Berry S, Chartash EK, Daud A, Fling SP, Friedlander PA, Kluger HM, Kohrt HE, Lundgren L, Margolin K, Mitchell A, Olencki T, Pardoll DM, Reddy SA, Shantha EM, Sharfman WH, Sharon E, Shemanski LR, Shinohara MM, Sunshine JC, Taube JM, Thompson JA, Townson SM, Yearley JH, Topalian SL, Cheever MA. PD-1 Blockade with Pembrolizumab in Advanced Merkel-Cell Carcinoma. New England Journal Of Medicine 2016, 374: 2542-2552. PMID: 27093365, PMCID: PMC4927341, DOI: 10.1056/nejmoa1603702.Peer-Reviewed Original ResearchConceptsAdvanced Merkel cell carcinomaMerkel cell carcinomaObjective response rateVirus-positive tumorsVirus-negative tumorsResponse rateDrug-related grade 3MCPyV-specific T cellsDose of pembrolizumabImmune inhibitory pathwaysPrevious systemic therapyTumor viral statusPD-1 blockadePrimary end pointFirst-line therapyProgression-free survivalResponse Evaluation CriteriaAggressive skin cancerMCPyV-positive tumorsMerkel cell polyomavirusAdverse eventsPartial responseSystemic therapyComplete responsePD-1
2015
Combination Therapy with Anti–CTLA-4 and Anti–PD-1 Leads to Distinct Immunologic Changes In Vivo
Das R, Verma R, Sznol M, Boddupalli CS, Gettinger SN, Kluger H, Callahan M, Wolchok JD, Halaban R, Dhodapkar MV, Dhodapkar KM. Combination Therapy with Anti–CTLA-4 and Anti–PD-1 Leads to Distinct Immunologic Changes In Vivo. The Journal Of Immunology 2015, 194: 950-959. PMID: 25539810, PMCID: PMC4380504, DOI: 10.4049/jimmunol.1401686.Peer-Reviewed Original ResearchMeSH KeywordsAntibodies, MonoclonalAntigens, SurfaceAntineoplastic Combined Chemotherapy ProtocolsCTLA-4 AntigenCytokinesGene Expression ProfilingGene Expression Regulation, NeoplasticHumansImmunophenotypingIpilimumabLymphocytes, Tumor-InfiltratingNeoplasmsNivolumabProgrammed Cell Death 1 ReceptorSignal TransductionT-Lymphocyte SubsetsConceptsPD-1T cellsCTLA-4Checkpoint blockadeCombination therapyReceptor occupancyCombination immune checkpoint blockadeCTLA-4 immune checkpointsPD-1 receptor occupancyTransitional memory T cellsAnti-PD-1 therapyAnti CTLA-4Immune-based combinationsPD-1 blockadeSoluble IL-2RImmune checkpoint blockadeNK cell functionMemory T cellsTherapy-induced changesT cell activationTumor T cellsHuman T cellsRemarkable antitumor effectImmunologic changesImmunologic effects
2013
Survival and long-term follow-up of safety and response in patients (pts) with advanced melanoma (MEL) in a phase I trial of nivolumab (anti-PD-1; BMS-936558; ONO-4538).
Sznol M, Kluger H, Hodi F, McDermott D, Carvajal R, Lawrence D, Topalian S, Atkins M, Powderly J, Sharfman W, Puzanov I, Smith D, Wigginton J, Kollia G, Gupta A, Sosman J. Survival and long-term follow-up of safety and response in patients (pts) with advanced melanoma (MEL) in a phase I trial of nivolumab (anti-PD-1; BMS-936558; ONO-4538). Journal Of Clinical Oncology 2013, 31: cra9006-cra9006. DOI: 10.1200/jco.2013.31.18_suppl.cra9006.Peer-Reviewed Original ResearchPhase I trialI trialInhibitory immune checkpoint receptorsDrug-related AEsDrug-related diarrheaDrug-related pneumonitisAcceptable safety profilePhase III trialsOverall survival dataImmune checkpoint receptorsCycles of treatmentLong-term safetyMonoclonal antibody nivolumabActivated T cellsGr 3Cohort expansionECOG PSMedian OSPrior therapyIII trialsAdvanced melanomaAntibody nivolumabDose escalationPD-1Checkpoint receptorsSafety and clinical activity of nivolumab (anti-PD-1, BMS-936558, ONO-4538) in combination with ipilimumab in patients (pts) with advanced melanoma (MEL).
Wolchok J, Kluger H, Callahan M, Postow M, Gordon R, Segal N, Rizvi N, Lesokhin A, Reed K, Burke M, Caldwell A, Kronenberg S, Agunwamba B, Feely W, Hong Q, Horak C, Korman A, Wigginton J, Gupta A, Sznol M. Safety and clinical activity of nivolumab (anti-PD-1, BMS-936558, ONO-4538) in combination with ipilimumab in patients (pts) with advanced melanoma (MEL). Journal Of Clinical Oncology 2013, 31: 9012-9012. DOI: 10.1200/jco.2013.31.15_suppl.9012.Peer-Reviewed Original ResearchObjective response rateRelated adverse eventsPhase III trialsConcurrent therapyIII trialsPD-1Clinical activityCTLA-4/PDIpilimumab combination therapyCTLA-4 blockadeManageable safety profilePhase 1 studyPhase I trialImmune checkpoint receptorsIpilimumab therapyMonotherapy dataPrior therapySymptom resolutionAdverse eventsI trialAdvanced melanomaDurable CRCheckpoint receptorsSafety profileCombination therapyClinical activity, safety, and biomarkers of MPDL3280A, an engineered PD-L1 antibody in patients with locally advanced or metastatic melanoma (mM).
Hamid O, Sosman J, Lawrence D, Sullivan R, Ibrahim N, Kluger H, Boasberg P, Flaherty K, Hwu P, Ballinger M, Mokatrin A, Kowanetz M, Chen D, Hodi F. Clinical activity, safety, and biomarkers of MPDL3280A, an engineered PD-L1 antibody in patients with locally advanced or metastatic melanoma (mM). Journal Of Clinical Oncology 2013, 31: 9010-9010. DOI: 10.1200/jco.2013.31.15_suppl.9010.Peer-Reviewed Original ResearchObjective response rateMM ptsPD-L1Tumor shrinkageAntitumor activityImmunotherapy-responsive diseasePD-L1 overexpressionTreatment-related deathsPD-L1 statusPD-L1 antibodiesHuman monoclonal antibodyInitial antitumor activityPt ageRECIST responseRECIST v1.1Median durationPrior surgeryPS 0Radiographic progressionSystemic therapyElevated ASTPD-1Dose escalationHistologic subtypeInitial treatment