2023
Subsets 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
2016
A comprehensive system of congenic mouse melanoma models for evaluation of immune therapies
Bosenberg M, Meeth K, Damsky W. A comprehensive system of congenic mouse melanoma models for evaluation of immune therapies. The Journal Of Immunology 2016, 196: 144.19-144.19. DOI: 10.4049/jimmunol.196.supp.144.19.Peer-Reviewed Original ResearchImmune therapyMouse modelImmune systemImmune checkpoint inhibitorsSubset of patientsRenal cell carcinomaMouse melanoma modelMouse melanoma cell lineCheckpoint inhibitorsMelanoma cell linesMelanoma patientsCell carcinomaLung cancerCancer immunologyMalignant melanomaProstate cancerTherapeutic approachesMelanoma modelSkin cancerHuman melanomaTherapyTumor microenvironmentCancerFlow cytometryPatients