2020
Bempegaldesleukin (NKTR-214) plus Nivolumab in Patients with Advanced Solid Tumors: Phase I Dose-Escalation Study of Safety, Efficacy, and Immune Activation (PIVOT-02)
Diab A, Tannir NM, Bentebibel SE, Hwu P, Papadimitrakopoulou V, Haymaker C, Kluger HM, Gettinger SN, Sznol M, Tykodi SS, Curti BD, Tagliaferri MA, Zalevsky J, Hannah AL, Hoch U, Aung S, Fanton C, Rizwan A, Iacucci E, Liao Y, Bernatchez C, Hurwitz ME, Cho DC. Bempegaldesleukin (NKTR-214) plus Nivolumab in Patients with Advanced Solid Tumors: Phase I Dose-Escalation Study of Safety, Efficacy, and Immune Activation (PIVOT-02). Cancer Discovery 2020, 10: 1158-1173. PMID: 32439653, DOI: 10.1158/2159-8290.cd-19-1510.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAntineoplastic Agents, ImmunologicalAntineoplastic Combined Chemotherapy ProtocolsCarcinoma, Non-Small-Cell LungCarcinoma, Renal CellFemaleGene Expression Regulation, NeoplasticHumansImmune Checkpoint InhibitorsImmunotherapyInterleukin-2Kidney NeoplasmsLung NeoplasmsLymphocyte CountLymphocytes, Tumor-InfiltratingMaleMelanomaMiddle AgedNivolumabPolyethylene GlycolsProgrammed Cell Death 1 ReceptorTreatment OutcomeYoung AdultConceptsTreatment-related adverse eventsAdvanced solid tumorsPD-L1 statusSolid tumorsGrade 3/4 treatment-related adverse eventsPD-1/PD-L1 blockadeCommon treatment-related adverse eventsPhase I dose-escalation trialPoor prognostic risk factorsTotal objective response rateI dose-escalation studyI dose-escalation trialLongitudinal tumor biopsiesPD-L1 blockadeT-cell enhancementTreatment-related deathsObjective response ratePhase II doseDose-escalation studyDose-escalation trialDose-limiting toxicityFlu-like symptomsPrognostic risk factorsTumor-infiltrating lymphocytesCytotoxicity of CD8Pembrolizumab 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 ResearchMeSH KeywordsAgedAntibodies, Monoclonal, HumanizedB7-H1 AntigenBiomarkers, TumorBrain NeoplasmsCarcinoma, Non-Small-Cell LungFemaleGene Expression Regulation, NeoplasticHumansMaleMiddle AgedNeoplasm MetastasisConceptsBrain 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 Criteria
2019
Expression Analysis and Significance of PD-1, LAG-3, and TIM-3 in Human Non–Small Cell Lung Cancer Using Spatially Resolved and Multiparametric Single-Cell Analysis
Datar I, Sanmamed MF, Wang J, Henick BS, Choi J, Badri T, Dong W, Mani N, Toki M, Mejías L, Lozano MD, Perez-Gracia JL, Velcheti V, Hellmann MD, Gainor JF, McEachern K, Jenkins D, Syrigos K, Politi K, Gettinger S, Rimm DL, Herbst RS, Melero I, Chen L, Schalper KA. Expression Analysis and Significance of PD-1, LAG-3, and TIM-3 in Human Non–Small Cell Lung Cancer Using Spatially Resolved and Multiparametric Single-Cell Analysis. Clinical Cancer Research 2019, 25: 4663-4673. PMID: 31053602, PMCID: PMC7444693, DOI: 10.1158/1078-0432.ccr-18-4142.Peer-Reviewed Original ResearchMeSH KeywordsAntigens, CDBiomarkers, TumorCarcinoma, Non-Small-Cell LungGene Expression Regulation, NeoplasticHepatitis A Virus Cellular Receptor 2HumansLung NeoplasmsLymphocyte ActivationLymphocyte Activation Gene 3 ProteinLymphocytes, Tumor-InfiltratingPrognosisProgrammed Cell Death 1 ReceptorRetrospective StudiesSingle-Cell AnalysisSurvival RateConceptsNon-small cell lung cancerHuman non-small cell lung cancerTumor-infiltrating lymphocytesAdvanced non-small cell lung cancerTim-3PD-1Cell lung cancerLAG-3Lung cancerPD-1 axis blockadeShorter progression-free survivalBaseline samplesTim-3 protein expressionMajor clinicopathologic variablesMultiplexed quantitative immunofluorescencePD-1 expressionProgression-free survivalTim-3 expressionLAG-3 expressionT-cell phenotypeTumor mutational burdenImmune inhibitory receptorsImmune evasion pathwaysTIM-3 proteinMass cytometry analysis
2017
Impaired HLA Class I Antigen Processing and Presentation as a Mechanism of Acquired Resistance to Immune Checkpoint Inhibitors in Lung Cancer
Gettinger S, Choi J, Hastings K, Truini A, Datar I, Sowell R, Wurtz A, Dong W, Cai G, Melnick MA, Du VY, Schlessinger J, Goldberg SB, Chiang A, Sanmamed MF, Melero I, Agorreta J, Montuenga LM, Lifton R, Ferrone S, Kavathas P, Rimm DL, Kaech SM, Schalper K, Herbst RS, Politi K. Impaired HLA Class I Antigen Processing and Presentation as a Mechanism of Acquired Resistance to Immune Checkpoint Inhibitors in Lung Cancer. Cancer Discovery 2017, 7: cd-17-0593. PMID: 29025772, PMCID: PMC5718941, DOI: 10.1158/2159-8290.cd-17-0593.Peer-Reviewed Original ResearchMeSH KeywordsDrug Resistance, NeoplasmGene Expression Regulation, NeoplasticHistocompatibility Antigens Class IHumansLung NeoplasmsSignal TransductionConceptsImmune checkpoint inhibitorsPatient-derived xenograftsHLA class ILung cancerClass ICell surface HLA class ILung cancer mouse modelPD-1 blockadeStandard treatment algorithmCancer mouse modelLung cancer samplesDefective antigen processingCheckpoint inhibitorsPD-1Treatment algorithmMouse modelAntagonistic antibodiesDiverse malignanciesAntigen processingCancer samplesB2MHomozygous lossTumorsCancerRecurrent mutations
2016
Oncogenic EGFR Represses the TET1 DNA Demethylase to Induce Silencing of Tumor Suppressors in Cancer Cells
Forloni M, Gupta R, Nagarajan A, Sun LS, Dong Y, Pirazzoli V, Toki M, Wurtz A, Melnick MA, Kobayashi S, Homer RJ, Rimm DL, Gettinger SJ, Politi K, Dogra SK, Wajapeyee N. Oncogenic EGFR Represses the TET1 DNA Demethylase to Induce Silencing of Tumor Suppressors in Cancer Cells. Cell Reports 2016, 16: 457-471. PMID: 27346347, PMCID: PMC4945411, DOI: 10.1016/j.celrep.2016.05.087.Peer-Reviewed Original ResearchMeSH KeywordsAdenocarcinomaAdenocarcinoma of LungAntineoplastic AgentsBrain NeoplasmsCCAAT-Enhancer-Binding ProteinsCell Line, TumorCpG IslandsDNA MethylationDrug Screening Assays, AntitumorErbB ReceptorsGene Expression Regulation, NeoplasticGene SilencingGlioblastomaHumansLung NeoplasmsMAP Kinase Signaling SystemMixed Function OxygenasesMutationOncogenesProtein Kinase InhibitorsProto-Oncogene ProteinsTranscription, GeneticTumor Suppressor ProteinsUp-RegulationConceptsOncogenic epidermal growth factor receptorMethylation-mediated transcriptional silencingEpidermal growth factor receptorTumor suppressorTranscriptional silencingActive DNA demethylationCancer cellsFamily member 1TET1 knockdownDNA demethylaseDNA demethylationTranscription factorsGrowth factor receptorEctopic expressionCytoplasmic localizationGlioblastoma tumor growthLung cancer cellsTET1 expressionFunctional roleSuppressorFactor receptorMember 1TET1SilencingLung cancer samples
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
2014
Predictive correlates of response to the anti-PD-L1 antibody MPDL3280A in cancer patients
Herbst RS, Soria JC, Kowanetz M, Fine GD, Hamid O, Gordon MS, Sosman JA, McDermott DF, Powderly JD, Gettinger SN, Kohrt HE, Horn L, Lawrence DP, Rost S, Leabman M, Xiao Y, Mokatrin A, Koeppen H, Hegde PS, Mellman I, Chen DS, Hodi FS. Predictive correlates of response to the anti-PD-L1 antibody MPDL3280A in cancer patients. Nature 2014, 515: 563-567. PMID: 25428504, PMCID: PMC4836193, DOI: 10.1038/nature14011.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overAntibodies, MonoclonalAntibodies, Monoclonal, HumanizedB7-H1 AntigenBiomarkersChemokine CX3CL1Clinical ProtocolsCTLA-4 AntigenDisease-Free SurvivalFemaleGene Expression Regulation, NeoplasticHumansImmunotherapyLymphocytes, Tumor-InfiltratingMaleMiddle AgedNeoplasmsTreatment OutcomeYoung Adult