2024
Circulating tumor-reactive KIR+CD8+ T cells suppress anti-tumor immunity in patients with melanoma
Lu B, Lucca L, Lewis W, Wang J, Nogueira C, Heer S, Rayon-Estrada V, Axisa P, Reeves S, Buitrago-Pocasangre N, Pham G, Kojima M, Wei W, Aizenbud L, Bacchiocchi A, Zhang L, Walewski J, Chiang V, Olino K, Clune J, Halaban R, Kluger Y, Coyle A, Kisielow J, Obermair F, Kluger H, Hafler D. Circulating tumor-reactive KIR+CD8+ T cells suppress anti-tumor immunity in patients with melanoma. Nature Immunology 2024, 1-10. PMID: 39609626, DOI: 10.1038/s41590-024-02023-4.Peer-Reviewed Original ResearchCD8+ T cellsAnti-tumor immunityRegulatory T cellsT cellsSubpopulation of CD8+ T cellsCytotoxic CD8+ T cellsHuman CD8+ T cellsTumor antigen-specific CD8Impaired anti-tumor immunityTumor antigen-specificPoor overall survivalTumor rejectionKIR expressionOverall survivalTumor antigensImmune evasionCellular mediatorsHuman cancersCD8MelanomaTumorTranscriptional programsFunctional heterogeneityImmunityPatientsA plasma-based proteomic platform for predicting clinical benefit from immune checkpoint inhibitors in multiple cancers.
Sela I, Lahav C, Lowenthal G, Harel M, Elon Y, Yellin B, Dicker A, Halaban R, Marte J, Sznol M, Gulley J. A plasma-based proteomic platform for predicting clinical benefit from immune checkpoint inhibitors in multiple cancers. Journal Of Clinical Oncology 2024, 42: 2568-2568. DOI: 10.1200/jco.2024.42.16_suppl.2568.Peer-Reviewed Original ResearchNon-small cell lung cancerHPV-related cancersProgression-free survivalPre-treatment plasma samplesInhibitor-based therapySquamous cell carcinomaPD-(L)1Overall survivalCell carcinomaCancer typesClinical benefitImmune checkpoint inhibitor (ICI)-based therapyMetastatic non-small cell lung cancerHead and neck squamous cell carcinomaAnogenital squamous cell carcinomasHazard ratioPD-1 inhibitor monotherapyNeck squamous cell carcinomaMultivariate Cox proportional hazards modelPredicting clinical benefitImmune checkpoint inhibitorsECOG performance statusInhibitor combination therapyPlasma samplesKaplan-Meier method
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
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
2014
Future perspectives in melanoma research: meeting report from the "Melanoma Bridge", Napoli, December 5th-8th 2013
Ascierto PA, Grimaldi AM, Anderson AC, Bifulco C, Cochran A, Garbe C, Eggermont AM, Faries M, Ferrone S, Gershenwald JE, Gajewski TF, Halaban R, Hodi FS, Kefford R, Kirkwood JM, Larkin J, Leachman S, Maio M, Marais R, Masucci G, Melero I, Palmieri G, Puzanov I, Ribas A, Saenger Y, Schilling B, Seliger B, Stroncek D, Sullivan R, Testori A, Wang E, Ciliberto G, Mozzillo N, Marincola FM, Thurin M. Future perspectives in melanoma research: meeting report from the "Melanoma Bridge", Napoli, December 5th-8th 2013. Journal Of Translational Medicine 2014, 12: 277. PMID: 25348889, PMCID: PMC4232645, DOI: 10.1186/s12967-014-0277-z.Peer-Reviewed Original ResearchConceptsProlong progression-free survivalOverall survivalMelanoma patientsMetastatic melanomaPathway inhibitorTumor microenvironmentImmune-modulating antibodiesLigand 1 pathwayMelanoma Bridge meetingProgression-free survivalMetastatic melanoma patientsCell death 1Adoptive cell transferNovel therapeutic targetContemporary clinical managementImportance of biomarkersFuture drug developmentMitogen-activated protein kinase pathway inhibitorsDifferent immunotherapiesImmune inhibitoryMelanoma BridgeDurable responsesSystemic therapyDeath-1Immune therapy
2003
Subcellular localization of activating transcription factor 2 in melanoma specimens predicts patient survival.
Berger AJ, Kluger HM, Li N, Kielhorn E, Halaban R, Ronai Z, Rimm DL. Subcellular localization of activating transcription factor 2 in melanoma specimens predicts patient survival. Cancer Research 2003, 63: 8103-7. PMID: 14678960.Peer-Reviewed Original ResearchConceptsATF2 expressionTranscription factor 2Melanoma specimensUseful prognostic markerEarly-stage melanomaWeak cytoplasmic stainingStrong nuclear stainingFactor 2Mean followCutaneous specimensLocalized diseaseOverall survivalIndependent predictorsPreclinical findingsClark levelClinicopathological dataPatient survivalPoor outcomePrognostic valueWorse outcomesPrognostic markerPoor survivalPreclinical modelsClinical significanceImmunohistochemical staining