2023
CD4 T cells and toxicity from immune checkpoint blockade
Earland N, Zhang W, Usmani A, Nene A, Bacchiocchi A, Chen D, Sznol M, Halaban R, Chaudhuri A, Newman A. CD4 T cells and toxicity from immune checkpoint blockade. Immunological Reviews 2023, 318: 96-109. PMID: 37491734, PMCID: PMC10838135, DOI: 10.1111/imr.13248.Peer-Reviewed Original ResearchConceptsImmune checkpoint inhibitorsIrAE developmentHigh-dose corticosteroid treatmentT-cell receptor sequencingT cell abundanceImmune checkpoint blockadeCD4 T cellsICI discontinuationCheckpoint inhibitorsCorticosteroid treatmentAdverse eventsCheckpoint blockadeAdvanced melanomaHospital admissionTreatment initiationRNA sequencingSafety profileCancer patientsTCR diversityT cellsBulk RNA sequencingSingle-cell RNA sequencingOrgan systemsPatientsBaseline featuresDynamic changes of circulating soluble PD-1/PD-L1 and its association with patient survival in immune checkpoint blockade-treated melanoma
Lu L, Risch E, Halaban R, Zhen P, Bacchiocchi A, Risch H. Dynamic changes of circulating soluble PD-1/PD-L1 and its association with patient survival in immune checkpoint blockade-treated melanoma. International Immunopharmacology 2023, 118: 110092. PMID: 37004344, DOI: 10.1016/j.intimp.2023.110092.Peer-Reviewed Original ResearchConceptsImmune checkpoint blockadeSoluble PD-L1 (sPD-L1) levelsPD-L1 ratioPD-L1 levelsSoluble PD-1Soluble PD-L1PD-L1PD-1Patient survivalSurvival statusPD-1/PD-L1Immune checkpoints PD-1T cell exhaustionPatients' survival statusSolid tumor typesInitial immunotherapyCheckpoint blockadeMelanoma patientsPoor prognosisRetrospective studyPatient responseCell exhaustionTumor typesMelanomaSurvival
2022
Integrative molecular and clinical profiling of acral melanoma links focal amplification of 22q11.21 to metastasis
Farshidfar F, Rhrissorrakrai K, Levovitz C, Peng C, Knight J, Bacchiocchi A, Su J, Yin M, Sznol M, Ariyan S, Clune J, Olino K, Parida L, Nikolaus J, Zhang M, Zhao S, Wang Y, Huang G, Wan M, Li X, Cao J, Yan Q, Chen X, Newman AM, Halaban R. Integrative molecular and clinical profiling of acral melanoma links focal amplification of 22q11.21 to metastasis. Nature Communications 2022, 13: 898. PMID: 35197475, PMCID: PMC8866401, DOI: 10.1038/s41467-022-28566-4.Peer-Reviewed Original ResearchConceptsAcral melanomaMelanoma subtypesClinical profilingCommon melanoma subtypeImmune checkpoint blockadeCheckpoint blockadeInferior survivalMelanoma cell linesKey molecular driversPoor prognosisTherapeutic targetAnchorage-independent growthImmunomodulatory genesNon-white individualsHotspot mutationsMolecular driversCandidate oncogeneMelanomaApoptotic cell deathLZTR1Focal amplificationTumor promoterCell linesMetastasisTumor suppressor
2018
Early 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
2017
Changes in serum interleukin-8 (IL-8) levels reflect and predict response to anti-PD-1 treatment in melanoma and non-small-cell lung cancer patients
Sanmamed MF, Perez-Gracia JL, Schalper KA, Fusco JP, Gonzalez A, Rodriguez-Ruiz ME, Oñate C, Perez G, Alfaro C, Martín-Algarra S, Andueza MP, Gurpide A, Morgado M, Wang J, Bacchiocchi A, Halaban R, Kluger H, Chen L, Sznol M, Melero I. Changes in serum interleukin-8 (IL-8) levels reflect and predict response to anti-PD-1 treatment in melanoma and non-small-cell lung cancer patients. Annals Of Oncology 2017, 28: 1988-1995. PMID: 28595336, PMCID: PMC5834104, DOI: 10.1093/annonc/mdx190.Peer-Reviewed Original ResearchConceptsSerum IL-8 levelsIL-8 levelsCell lung cancer patientsLung cancer patientsNSCLC patientsCancer patientsMelanoma patientsPD1/PD-L1 therapyAnti-PD-1 treatmentAnti-PD-1 blockadeSerum interleukin-8 levelsPD-L1 therapyImmune checkpoint blockadeInterleukin-8 levelsLonger overall survivalBiomarkers of responseMann-Whitney testCheckpoint blockadeFirst doseOverall survivalStrength of associationClinical benefitReceiver operation characteristic curveMetastatic melanomaSurrogate biomarker
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