2023
A bedside to bench study of anti-PD-1, anti-CD40, and anti-CSF1R indicates that more is not necessarily better
Djureinovic D, Weiss S, Krykbaeva I, Qu R, Vathiotis I, Moutafi M, Zhang L, Perdigoto A, Wei W, Anderson G, Damsky W, Hurwitz M, Johnson B, Schoenfeld D, Mahajan A, Hsu F, Miller-Jensen K, Kluger Y, Sznol M, Kaech S, Bosenberg M, Jilaveanu L, Kluger H. A bedside to bench study of anti-PD-1, anti-CD40, and anti-CSF1R indicates that more is not necessarily better. Molecular Cancer 2023, 22: 182. PMID: 37964379, PMCID: PMC10644655, DOI: 10.1186/s12943-023-01884-x.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsAntibodies, MonoclonalHumansMelanomaMiceNivolumabReceptor Protein-Tyrosine KinasesConceptsStable diseasePartial responseMacrophage populationsThree-drug regimenUnconfirmed partial responsePhase I trialLimited treatment optionsMonocyte/macrophage populationNon-classical monocytesMurine melanoma modelTreatment-related changesResultsThirteen patientsWorse survivalI trialInflammatory tumorPatient populationTreatment optionsImmune cellsDisease progressionMurine studiesPreclinical modelsResistant melanomaAntigen presentationMurine modelCyTOF analysisA Phase II Trial of the CD40 Agonist Sotigalimab (APX005M) in Combination with Nivolumab in Subjects with Metastatic Melanoma with Disease Progression on Anti-PD-1
Weiss S, Sznol M, Shaheen M, Berciano-Guerrero M, Couselo E, Rodríguez-Abreu D, Boni V, Schuchter L, Gonzalez-Cao M, Arance A, Wei W, Ganti A, Hauke R, Berrocal A, Iannotti N, Hsu F, Kluger H. A Phase II Trial of the CD40 Agonist Sotigalimab (APX005M) in Combination with Nivolumab in Subjects with Metastatic Melanoma with Disease Progression on Anti-PD-1. Clinical Cancer Research 2023, 30: 74-81. PMID: 37535056, PMCID: PMC10767304, DOI: 10.1158/1078-0432.ccr-23-0475.Peer-Reviewed Original ResearchConceptsObjective response ratePhase II trialAdverse eventsPartial responseDisease progressionII trialGrade 3 adverse eventsAnti PD-1CD40 agonist antibodyElevated liver functionTreatment-related SAEsCommon adverse eventsActivation of CD40Subset of patientsFavorable safety profileAntigen presenting cellsStable diseaseMedian durationAdvanced melanomaAdditional patientsLiver functionSafety profileMetastatic melanomaPreclinical dataPresenting cellsSubsets of IFN Signaling Predict Response to Immune Checkpoint Blockade in Patients with Melanoma.
Horowitch B, Lee D, Ding M, Martinez-Morilla S, Aung T, Ouerghi F, Wang X, Wei W, Damsky W, Sznol M, Kluger H, Rimm D, Ishizuka J. Subsets of IFN Signaling Predict Response to Immune Checkpoint Blockade in Patients with Melanoma. Clinical Cancer Research 2023, 29: 2908-2918. PMID: 37233452, PMCID: PMC10524955, DOI: 10.1158/1078-0432.ccr-23-0215.Peer-Reviewed Original ResearchConceptsImmune checkpoint inhibitorsHuman melanoma cell linesMelanoma cell linesPD-L1Validation cohortYale-New Haven HospitalCombination of ipilimumabPD-L1 markersImmune checkpoint blockadePD-L1 biomarkerNew Haven HospitalSTAT1 levelsCell linesWestern blot analysisCheckpoint inhibitorsCheckpoint blockadeClinical responseOverall survivalImproved survivalResistance of cancersMetastatic melanomaMelanoma responsePredict responseTreatment responseDistinct patterns
2021
A Phase I Study of APX005M and Cabiralizumab with or without Nivolumab in Patients with Melanoma, Kidney Cancer, or Non–Small Cell Lung Cancer Resistant to Anti-PD-1/PD-L1
Weiss SA, Djureinovic D, Jessel S, Krykbaeva I, Zhang L, Jilaveanu L, Ralabate A, Johnson B, Levit NS, Anderson G, Zelterman D, Wei W, Mahajan A, Trifan O, Bosenberg M, Kaech SM, Perry CJ, Damsky W, Gettinger S, Sznol M, Hurwitz M, Kluger HM. A Phase I Study of APX005M and Cabiralizumab with or without Nivolumab in Patients with Melanoma, Kidney Cancer, or Non–Small Cell Lung Cancer Resistant to Anti-PD-1/PD-L1. Clinical Cancer Research 2021, 27: 4757-4767. PMID: 34140403, PMCID: PMC9236708, DOI: 10.1158/1078-0432.ccr-21-0903.Peer-Reviewed Original ResearchConceptsAnti-PD-1/PD-L1Non-small cell lung cancerCell lung cancerRenal cell carcinomaPD-L1Lung cancerDisease progressionCommon treatment-related adverse eventsPD-1/PD-L1 inhibitorsTreatment-related adverse eventsPhase 2 doseSubstantial clinical challengeUnconfirmed partial responseDose-limiting toxicityPD-L1 inhibitorsPhase I trialDose-escalation designPro-inflammatory cytokinesMultiple tumor typesAsymptomatic elevationStable diseaseIntolerable toxicityAdverse eventsMedian durationPartial response
2019
Closed 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 reactionMultiplex 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 analysis
2018
Long-Term Survival of Patients With Melanoma With Active Brain Metastases Treated With Pembrolizumab on a Phase II Trial
Kluger HM, Chiang V, Mahajan A, Zito CR, Sznol M, Tran T, Weiss SA, Cohen JV, Yu J, Hegde U, Perrotti E, Anderson G, Ralabate A, Kluger Y, Wei W, Goldberg SB, Jilaveanu LB. Long-Term Survival of Patients With Melanoma With Active Brain Metastases Treated With Pembrolizumab on a Phase II Trial. Journal Of Clinical Oncology 2018, 37: 52-60. PMID: 30407895, PMCID: PMC6354772, DOI: 10.1200/jco.18.00204.Peer-Reviewed Original ResearchConceptsBrain metastasis responseBrain metastasesMetastasis responseAdverse eventsAnti-programmed cell death-1 (PD-1) agentsDeath ligand 1 (PD-L1) expressionModified Response Evaluation CriteriaPhase II clinical trialActive brain metastasesAsymptomatic brain metastasesCD8 cell densityNeurologic adverse eventsPembrolizumab-treated patientsUse of pembrolizumabMelanoma brain metastasesPrimary end pointLigand 1 expressionPhase II trialResponse Evaluation CriteriaT-cell infiltratesUntreated brain metastasesDeath ligand 1Two-year survivalOverall survival timeResult of progressionEarly B cell changes predict autoimmunity following combination immune checkpoint blockade
Das R, Bar N, Ferreira M, Newman AM, Zhang L, Bailur JK, Bacchiocchi A, Kluger H, Wei W, Halaban R, Sznol M, Dhodapkar MV, Dhodapkar KM. Early B cell changes predict autoimmunity following combination immune checkpoint blockade. Journal Of Clinical Investigation 2018, 128: 715-720. PMID: 29309048, PMCID: PMC5785243, DOI: 10.1172/jci96798.Peer-Reviewed Original ResearchConceptsCombination checkpoint blockadeB cell changesB cellsCheckpoint blockadeCell changesCombination immune checkpoint blockadeB-cell receptor sequencingRisk of irAEsImmune checkpoint blockadeCell receptor sequencingB cell activationTreatment-induced changesCCB therapyAdverse eventsPD1 expressionPD1 receptorGrade 3PatientsCell activationEarly changesSingle-cell RNA sequencingTherapyPreemptive strategyCancer therapyIrAEs