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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 ResearchConceptsStable 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 analysisAgonistic CD40 Antibodies in Cancer Treatment
Djureinovic D, Wang M, Kluger HM. Agonistic CD40 Antibodies in Cancer Treatment. Cancers 2021, 13: 1302. PMID: 33804039, PMCID: PMC8000216, DOI: 10.3390/cancers13061302.Peer-Reviewed Original ResearchAgonistic CD40 antibodyCD40 antibodyDendritic cellsAntigen presentationClinical developmentEarly phase clinical trialsAgonist CD40 antibodyActivation of CD8Pro-inflammatory effectsAntigen-presenting cellsT cell functionRenal cell carcinomaAnti-tumor effectsPhase clinical trialsAnti-tumor activityT cell activationCancer Genome AtlasSystemic therapyCell carcinomaCostimulatory moleculesCD40 expressionClinical trialsPancreatic adenocarcinomaPreclinical modelsT cellsProfiling cancer testis antigens in non–small-cell lung cancer
Djureinovic D, Hallström B, Horie M, Mattsson J, La Fleur L, Fagerberg L, Brunnström H, Lindskog C, Madjar K, Rahnenführer J, Ekman S, Ståhle E, Koyi H, Brandén E, Edlund K, Hengstler J, Lambe M, Saito A, Botling J, Pontén F, Uhlén M, Micke P. Profiling cancer testis antigens in non–small-cell lung cancer. JCI Insight 2016, 1: e86837. PMID: 27699219, PMCID: PMC5033889, DOI: 10.1172/jci.insight.86837.Peer-Reviewed Original ResearchConceptsCell lung cancerLung cancerCancer testisCTA expressionDifferent normal organsProtein expressionCancer Genome AtlasImmunotherapeutic strategiesPrognostic impactNSCLC casesNSCLC tissuesSurvival associationsNew CTANormal organsBiomarker studiesClinical interestCancerGenome AtlasReliable CTACTANSCLCConcurrent expressionRNAseq dataValuable targetStringent criteriaA pathology atlas of the human cancer transcriptome
Uhlen M, Zhang C, Lee S, Sjöstedt E, Fagerberg L, Bidkhori G, Benfeitas R, Arif M, Liu Z, Edfors F, Sanli K, von Feilitzen K, Oksvold P, Lundberg E, Hober S, Nilsson P, Mattsson J, Schwenk J, Brunnström H, Glimelius B, Sjöblom T, Edqvist P, Djureinovic D, Micke P, Lindskog C, Mardinoglu A, Ponten F. A pathology atlas of the human cancer transcriptome. Science 2017, 357 PMID: 28818916, DOI: 10.1126/science.aan2507.Peer-Reviewed Original ResearchConceptsRegulation of genesGenome-scale metabolic modelProtein-coding genesGenome-wide transcriptomeHuman cancer transcriptomeGenome-wide explorationCellular differentiationIndividual proteinsCancer transcriptomeMolecular mechanismsMetabolic modelsCell growthGenesTranscriptomeOpen-access databaseSystem-level approachMajor cancer typesMetabolic heterogeneityPathology AtlasGeneral patternCancer typesRegulationShorter patient survivalIndividual tumorsProtein
2024
Decoy-resistant IL-18 reshapes the tumor microenvironment and enhances rejection by anti-CTLA-4 in renal cell carcinoma
Schoenfeld D, Djureinovic D, Su D, Zhang L, Lu B, Kamga L, Mann J, Huck J, Hurwitz M, Braun D, Jilaveanu L, Ring A, Kluger H. Decoy-resistant IL-18 reshapes the tumor microenvironment and enhances rejection by anti-CTLA-4 in renal cell carcinoma. JCI Insight 2024 PMID: 39561007, DOI: 10.1172/jci.insight.184545.Peer-Reviewed Original ResearchAnti-CTLA-4Renal cell carcinomaIL-18IL-18BPCell carcinomaTumor microenvironmentTumor typesPatients treated with immune checkpoint inhibitorsRegulatory T cell levelsAnti-PD-1 treatmentCD8+ T cellsAnti-PD-1Immune checkpoint inhibitorsCell renal cell carcinomaNon-responder patientsMyeloid cell populationsT cell levelsCytokine interleukin-18Anti-cancer efficacySecreted binding proteinCheckpoint inhibitorsResponding patientsPreclinical modelsT cellsMurine modelGP100 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 ResearchConceptsGp100 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 ResearchConceptsMC1R 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 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
1070 ‘Decoy-resistant’ IL-18 in combination with CTLA-4 blockade enhances anti-tumor efficacy in preclinical models of renal cell carcinoma
Schoenfeld D, Djureinovic D, Zhang L, Mann J, Huck J, Jilaveanu L, Ring A, Kluger H. 1070 ‘Decoy-resistant’ IL-18 in combination with CTLA-4 blockade enhances anti-tumor efficacy in preclinical models of renal cell carcinoma. 2023, a1177-a1179. DOI: 10.1136/jitc-2023-sitc2023.1070.Peer-Reviewed Original ResearchA modified IL-18 drug in combination with CTLA-4 blockade enhances anti-tumor efficacy in preclinical models of renal cell carcinoma
Schoenfeld D, Djureinovic D, Zhang L, Mann J, Huck J, Jilaveanu L, Ring A, Kluger H. A modified IL-18 drug in combination with CTLA-4 blockade enhances anti-tumor efficacy in preclinical models of renal cell carcinoma. The Oncologist 2023, 28: s7-s7. PMCID: PMC10445567, DOI: 10.1093/oncolo/oyad216.010.Peer-Reviewed Original ResearchImmune checkpoint inhibitorsRenal cell carcinomaImmune cell depletion studiesCell depletion studiesT cellsAnti-tumor activityPreclinical modelsRENCA modelTumor growthNK cellsIL-18IL-18BPCell carcinomaAnti-PD-1/CTLAAnti-PD-1 therapyIntra-tumoral T cellsModest anti-tumor activityAnti-tumor immune responseCytokine/chemokine levelsCytokine/chemokine profilingDepletion studiesEarly phase clinical trialsDecoy receptor proteinEnrichment of CD8PD-1 blockade