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 features
2022
T cell characteristics associated with toxicity to immune checkpoint blockade in patients with melanoma
Lozano AX, Chaudhuri AA, Nene A, Bacchiocchi A, Earland N, Vesely MD, Usmani A, Turner BE, Steen CB, Luca BA, Badri T, Gulati GS, Vahid MR, Khameneh F, Harris PK, Chen DY, Dhodapkar K, Sznol M, Halaban R, Newman AM. T cell characteristics associated with toxicity to immune checkpoint blockade in patients with melanoma. Nature Medicine 2022, 28: 353-362. PMID: 35027754, PMCID: PMC8866214, DOI: 10.1038/s41591-021-01623-z.Peer-Reviewed Original ResearchConceptsImmune checkpoint inhibitorsImmune-related adverse eventsT-cell characteristicsIrAE developmentBlood samplesSevere immune-related adverse eventsAnti-PD-1 monotherapyCombination immune checkpoint inhibitorsT-cell receptor sequencingT cell abundanceCell receptor sequencingOrgan system involvementPeripheral blood samplesIrAE onsetCheckpoint inhibitorsAdverse eventsCheckpoint blockadeRNA sequencingTCR clonalityCombination therapyPatient cohortSystem involvementClinical managementTCR diversityImmunological state
2020
21 Plasma-based proteomic profiling as a tool for predicting response to immunotherapy in melanoma patients
Harel M, Lahav C, Jacob E, Issler E, Bar H, Dicker A, Sharon O, Bacchiocchi A, Halaban R, Sznol M, Shaked Y. 21 Plasma-based proteomic profiling as a tool for predicting response to immunotherapy in melanoma patients. Journal For ImmunoTherapy Of Cancer 2020, 8: a11-a12. DOI: 10.1136/jitc-2020-sitc2020.0021.Peer-Reviewed Original ResearchImmune checkpoint inhibitorsMelanoma patientsClinical outcomesHost responseNon-small cell lung cancerCell lung cancerNon-responder groupPlasma samplesPro-metastatic effectsAnti-tumor activityPredictive biomarker discoveryProteomic profilingPlasma proteomic analysisAnti-cancer therapyICI therapyCheckpoint inhibitorsRECIST criteriaLung cancerTreatment modalitiesMechanisms of resistanceIndependent cohortPatientsTumor progressionPredictive signatureImmunotherapy
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