2024
GP100 expression is variable in intensity in melanoma
Mann J, Hasson N, Su D, Adeniran A, Smalley K, Djureinovic D, Jilaveanu L, Schoenfeld D, Kluger H. GP100 expression is variable in intensity in melanoma. Cancer Immunology, Immunotherapy 2024, 73: 191. PMID: 39105816, PMCID: PMC11303354, DOI: 10.1007/s00262-024-03776-5.Peer-Reviewed Original ResearchConceptsGp100 expressionCutaneous melanomaTreatment of cutaneous melanomaAdvanced cutaneous melanomaT-cell engagersImprove patient selectionMetastatic melanomaUveal melanomaMetastatic samplesPatient selectionClinical trialsMelanomaQuantitative immunofluorescence methodGp100Improve outcomesImmunofluorescence methodTherapeutic intentDrugCellular productsExpressionTebentafuspImmunohistochemistry
2023
Germline genetic variants are associated with development of insulin-dependent diabetes in cancer patients treated with immune checkpoint inhibitors
Caulfield J, Aizenbud L, Perdigoto A, Meffre E, Jilaveanu L, Michalek D, Rich S, Aizenbud Y, Adeniran A, Herold K, Austin M, Kluger H. Germline genetic variants are associated with development of insulin-dependent diabetes in cancer patients treated with immune checkpoint inhibitors. Journal For ImmunoTherapy Of Cancer 2023, 11: e006570. PMID: 36898736, PMCID: PMC10008335, DOI: 10.1136/jitc-2022-006570.Peer-Reviewed Original ResearchConceptsImmune-related adverse eventsInsulin-dependent diabetesImmune checkpoint inhibitorsType 1 diabetesCheckpoint inhibitorsControl patientsSevere immune-related adverse eventsImmunotherapy-treated patientsCheckpoint inhibitor therapyIslet cell destructionPotential predictive biomarkersIslet cell functionWhole-exome sequencingICI exposureAdverse eventsGermline genetic variantsInhibitor therapyPatient selectionTreatment regimensCancer patientsPredictive biomarkersGeneral populationPatientsDiabetesSame drug
2022
Society for Immunotherapy of Cancer (SITC) clinical practice guideline on immunotherapy for the treatment of nonmelanoma skin cancer
Silk AW, Barker CA, Bhatia S, Bollin KB, Chandra S, Eroglu Z, Gastman BR, Kendra KL, Kluger H, Lipson EJ, Madden K, Miller DM, Nghiem P, Pavlick AC, Puzanov I, Rabinowits G, Ruiz ES, Sondak VK, Tavss EA, Tetzlaff MT, Brownell I. Society for Immunotherapy of Cancer (SITC) clinical practice guideline on immunotherapy for the treatment of nonmelanoma skin cancer. Journal For ImmunoTherapy Of Cancer 2022, 10: e004434. PMID: 35902131, PMCID: PMC9341183, DOI: 10.1136/jitc-2021-004434.Peer-Reviewed Original ResearchConceptsNonmelanoma skin cancerClinical practice guidelinesImmune checkpoint inhibitorsCutaneous squamous cell carcinomaMerkel cell carcinomaBasal cell carcinomaCell carcinomaPractice guidelinesSkin cancerCancer clinical practice guidelinesCancer care professionalsManagement of toxicitiesSpecial patient populationsSquamous cell carcinomaImmunotherapy of cancerConsensus-based recommendationsOwn clinical experienceRoutine clinical useCheckpoint inhibitorsMetastatic diseasePatient selectionPatients' qualityImmunotherapeutic treatmentPatient populationAggressive subtype
2019
Patterns of failure after immunotherapy with checkpoint inhibitors predict durable progression-free survival after local therapy for metastatic melanoma
Klemen ND, Wang M, Feingold PL, Cooper K, Pavri SN, Han D, Detterbeck FC, Boffa DJ, Khan SA, Olino K, Clune J, Ariyan S, Salem RR, Weiss SA, Kluger HM, Sznol M, Cha C. Patterns of failure after immunotherapy with checkpoint inhibitors predict durable progression-free survival after local therapy for metastatic melanoma. Journal For ImmunoTherapy Of Cancer 2019, 7: 196. PMID: 31340861, PMCID: PMC6657062, DOI: 10.1186/s40425-019-0672-3.Peer-Reviewed Original ResearchConceptsThree-year progression-free survivalProgression-free survivalDisease-specific survivalFive-year disease-specific survivalPatterns of failureDurable progression-free survivalLocal therapyStereotactic body radiotherapyMetastatic melanomaNew metastasesPatient selectionIndependent radiological reviewOngoing complete responseResultsFour hundred twentyEvidence of diseaseCNS metastasisCPI treatmentImmunotherapy failureCheckpoint inhibitorsMost patientsProgressive diseaseRadiological reviewComplete responsePD-1PD-L1
2015
MET Expression in Primary and Metastatic Clear Cell Renal Cell Carcinoma: Implications of Correlative Biomarker Assessment to MET Pathway Inhibitors
Shuch B, Falbo R, Parisi F, Adeniran A, Kluger Y, Kluger HM, Jilaveanu LB. MET Expression in Primary and Metastatic Clear Cell Renal Cell Carcinoma: Implications of Correlative Biomarker Assessment to MET Pathway Inhibitors. BioMed Research International 2015, 2015: 192406. PMID: 26448928, PMCID: PMC4584049, DOI: 10.1155/2015/192406.Peer-Reviewed Original ResearchConceptsClear cell renal cell carcinomaCell renal cell carcinomaMetastatic sitesRenal cell carcinomaMET expressionCell carcinomaPredictive biomarkersPrimary tumorMetastatic clear cell renal cell carcinomaMetastatic kidney cancerAppropriate patient selectionDistant metastatic sitesPatient selectionMetastatic tissuesKidney cancerMET pathwayTissue microarrayBiomarker assessmentNumber of casesPrimary siteModerate concordancePathway inhibitorTumorsDistant tissuesNephrectomy
2014
Microvessel area as a predictor of sorafenib response in metastatic renal cell carcinoma
Aziz SA, Sznol JA, Albiges L, Zito C, Jilaveanu LB, Camp RL, Escudier B, Kluger HM. Microvessel area as a predictor of sorafenib response in metastatic renal cell carcinoma. Cancer Cell International 2014, 14: 4. PMID: 24423208, PMCID: PMC3896780, DOI: 10.1186/1475-2867-14-4.Peer-Reviewed Original ResearchRenal cell carcinomaMicrovessel areaHighest microvessel areaSorafenib responseCell carcinomaMetastatic renal cell carcinomaCD 34 stainingSmall primary tumorsProgression-free survivalAnti-angiogenic therapyVEGF-R2 inhibitorsAdditional patientsPatient selectionPredictive biomarkersPrimary tumorSorafenib sensitivityTumor specimensDrug AdministrationVEGF-R3VEGF-R1Immunofluorescence-based methodTumor samplesVEGF-R2C-kitPatients