2022
Association Between Food and Drug Administration Approval and Disparities in Immunotherapy Use Among Patients With Cancer in the US
Ermer T, Canavan ME, Maduka RC, Li AX, Salazar MC, Kaminski MF, Pichert MD, Zhan PL, Mase V, Kluger H, Boffa DJ. Association Between Food and Drug Administration Approval and Disparities in Immunotherapy Use Among Patients With Cancer in the US. JAMA Network Open 2022, 5: e2219535. PMID: 35771575, PMCID: PMC9247736, DOI: 10.1001/jamanetworkopen.2022.19535.Peer-Reviewed Original ResearchConceptsNon-small cell lung cancerRenal cell carcinomaUse of immunotherapyFDA approvalImmunotherapy useCohort studyClinical trialsNovel therapiesStage IV non-small cell lung cancerMultivariable logistic regression modelingFirst checkpoint inhibitorCheckpoint inhibitor therapyNational Cancer DatabasePatients 20 yearsCell lung cancerSocioeconomic strataTreatment of patientsDrug Administration approvalLife-saving treatmentReceipt of immunotherapyLogistic regression modelingSocioeconomic characteristicsImmunotherapy administrationCheckpoint inhibitorsPatient characteristics
2017
Comparing available criteria for measuring brain metastasis response to immunotherapy
Qian JM, Mahajan A, Yu JB, Tsiouris AJ, Goldberg SB, Kluger HM, Chiang VL. Comparing available criteria for measuring brain metastasis response to immunotherapy. Journal Of Neuro-Oncology 2017, 132: 479-485. PMID: 28275886, DOI: 10.1007/s11060-017-2398-8.Peer-Reviewed Original ResearchConceptsRECIST 1.1Brain lesionsBrain metastasesDurable responsesAdditional patientsNeuro-Oncology Working GroupBrain metastasis responseBrain metastasis patientsUntreated brain metastasesStandardized response criteriaBrain lesion sizeHigh-grade gliomasSimilar clinical trialsHigh-resolution MRIMetastasis patientsMetastasis responseOngoing trialsClinical trialsNovel therapiesResponse assessmentDiscordant casesLesion sizePatientsResponse rateLongest diameter
2005
Using a Xenograft Model of Human Breast Cancer Metastasis to Find Genes Associated with Clinically Aggressive Disease
Kluger HM, Lev D, Kluger Y, McCarthy MM, Kiriakova G, Camp RL, Rimm DL, Price JE. Using a Xenograft Model of Human Breast Cancer Metastasis to Find Genes Associated with Clinically Aggressive Disease. Cancer Research 2005, 65: 5578-5587. PMID: 15994930, DOI: 10.1158/0008-5472.can-05-0108.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsBreast NeoplasmsCell AdhesionCell Growth ProcessesCell Line, TumorDisease Models, AnimalFemaleGene Expression ProfilingHumansImmunohistochemistryMiceMice, NudeMultivariate AnalysisNeoplasm InvasivenessNeoplasm MetastasisNeoplasm TransplantationOligonucleotide Array Sequence AnalysisPredictive Value of TestsReproducibility of ResultsTissue Array AnalysisTransplantation, HeterologousConceptsBreast cancerXenograft modelHuman breast cancer metastasisLymph node involvementLymph node metastasisChemokine ligand 1Human breast cancer cell linesBreast cancer metastasisLeukocyte protease inhibitorBreast cancer cell linesBreast cancer tissuesHSP-70 expressionHeat shock protein 70Cancer cell linesShock protein 70Identification of genesNode involvementNode metastasisAggressive diseaseClinicopathologic variablesPrimary tumorPrognostic markerNovel therapiesCDNA microarray analysisCancer tissues