2015
PLEKHA5 as a Biomarker and Potential Mediator of Melanoma Brain Metastasis
Jilaveanu LB, Parisi F, Barr ML, Zito CR, Cruz-Munoz W, Kerbel RS, Rimm DL, Bosenberg MW, Halaban R, Kluger Y, Kluger HM. PLEKHA5 as a Biomarker and Potential Mediator of Melanoma Brain Metastasis. Clinical Cancer Research 2015, 21: 2138-2147. PMID: 25316811, PMCID: PMC4397107, DOI: 10.1158/1078-0432.ccr-14-0861.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overBiomarkers, TumorBrain NeoplasmsCell Line, TumorFemaleFluorescent Antibody TechniqueGene Expression ProfilingHumansImage Processing, Computer-AssistedIntracellular Signaling Peptides and ProteinsMaleMelanomaMiddle AgedNeoplasm InvasivenessTissue Array AnalysisTranscriptomeYoung AdultConceptsCell line modelsBlood-brain barrierBrain metastasesGene expression profilesGene expression profilingExpression profilingExpression profilesPLEKHA5Brain metastasis-free survivalA375P cellsQuantitative immunofluorescenceEarly brain metastasisMelanoma brain metastasesMetastasis-free survivalProfile of patientsPotential mediatorsProtein levelsMetastatic melanoma casesEarly developmentMelanoma cellsKnockdownDecrease proliferationBBB transmigrationExtracerebral sitesMetastatic sites
2009
Chemotherapy and biologic therapies for melanoma: do they work?
Jilaveanu LB, Aziz SA, Kluger HM. Chemotherapy and biologic therapies for melanoma: do they work? Clinics In Dermatology 2009, 27: 614-625. PMID: 19880049, DOI: 10.1016/j.clindermatol.2008.09.020.Peer-Reviewed Original ResearchConceptsResponse rateMinority of patientsSubset of patientsInterleukin-2 (IL-2) resultsImproved response ratesIncidence of melanomaIdentification of predictorsCombination of agentsUnresectable diseaseBiologic therapyOlder regimensOverall survivalStandard chemotherapyTherapeutic optionsClinical trialsNew agentsSmall molecule inhibitorsSingle agentImmune systemMonoclonal antibodiesDeath rateMelanomaMalignant melanocytesChemotherapyMolecule inhibitors
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 tissuesAutomated Quantitative Analysis of E-Cadherin Expression in Lymph Node Metastases Is Predictive of Survival in Invasive Ductal Breast Cancer
Harigopal M, Berger AJ, Camp RL, Rimm DL, Kluger HM. Automated Quantitative Analysis of E-Cadherin Expression in Lymph Node Metastases Is Predictive of Survival in Invasive Ductal Breast Cancer. Clinical Cancer Research 2005, 11: 4083-4089. PMID: 15930343, DOI: 10.1158/1078-0432.ccr-04-2191.Peer-Reviewed Original ResearchConceptsE-cadherin expressionLymph node metastasisNodal metastasisBreast cancerImproved survivalNode metastasisTissue microarrayNode-positive breast cancerInvasive ductal breast cancerHER2/neu statusAnti-invasive roleInvasive ductal tumorsNode-positive patientsDuctal breast cancerSubset of patientsGood prognostic markerAggressive tumor behaviorStrong E-cadherin expressionHigh E-cadherin expressionCy5-conjugated antibodiesDuctal tumorsMetastatic sitesPrognostic valueTumor sizePrimary tumor
2004
cDNA microarray analysis of invasive and tumorigenic phenotypes in a breast cancer model
Kluger HM, Kluger Y, Gilmore-Hebert M, DiVito K, Chang JT, Rodov S, Mironenko O, Kacinski BM, Perkins AS, Sapi E. cDNA microarray analysis of invasive and tumorigenic phenotypes in a breast cancer model. Laboratory Investigation 2004, 84: 320-331. PMID: 14767486, DOI: 10.1038/labinvest.3700044.Peer-Reviewed Original ResearchConceptsAutophosphorylation sitesHC11 mammary epithelial cellsMAP kinase phosphatase-1SNARE protein Ykt6Macrophage colony-stimulating factor receptorK cDNA microarrayColony-stimulating factor receptorCDNA microarray analysisKinase phosphatase-1Effects of mutationsMammary epithelial cellsTransmembrane tyrosine kinase receptorTyrosine kinase receptorsPhosphatase 1HC11 cellsCDNA microarrayTumorigenic phenotypeChaperonin 10Gene expressionFms oncogeneMicroarray analysisInvasive phenotypeMetastatic competenceKinase receptorsVivo tumorigenesis