109 Development of a novel immuno-metabolic spatial signature to predict response and resistance to immunotherapy in NSCLC patients
Markovits E, Monkman J, Aung T, Reeves J, O’Byrne K, Czertock R, Puig O, Rimm D, Kulasinghe A. 109 Development of a novel immuno-metabolic spatial signature to predict response and resistance to immunotherapy in NSCLC patients. 2024, a119-a119. DOI: 10.1136/jitc-2024-sitc2024.0109.Peer-Reviewed Original ResearchSpatially Informed Gene Signatures for Response to Immunotherapy in Melanoma.
Aung T, Warrell J, Martinez-Morilla S, Gavrielatou N, Vathiotis I, Yaghoobi V, Kluger H, Gerstein M, Rimm D. Spatially Informed Gene Signatures for Response to Immunotherapy in Melanoma. Clinical Cancer Research 2024, 30: 3520-3532. PMID: 38837895, PMCID: PMC11326985, DOI: 10.1158/1078-0432.ccr-23-3932.Peer-Reviewed Original ResearchGene signatureResistance to immunotherapyResponse to immunotherapyPrediction of treatment outcomeResistant to treatmentAccurate prediction of treatment outcomePredictive of responseImmunotherapy outcomesMelanoma patientsMelanoma specimensValidation cohortPatient stratificationDiscovery cohortTreatment outcomesImmunotherapyMelanomaTumorPatientsCohortS100BOutcomesGene expression dataGenesCD68+macrophagesExpression data