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 sitesCombination Therapy with Anti–CTLA-4 and Anti–PD-1 Leads to Distinct Immunologic Changes In Vivo
Das R, Verma R, Sznol M, Boddupalli CS, Gettinger SN, Kluger H, Callahan M, Wolchok JD, Halaban R, Dhodapkar MV, Dhodapkar KM. Combination Therapy with Anti–CTLA-4 and Anti–PD-1 Leads to Distinct Immunologic Changes In Vivo. The Journal Of Immunology 2015, 194: 950-959. PMID: 25539810, PMCID: PMC4380504, DOI: 10.4049/jimmunol.1401686.Peer-Reviewed Original ResearchMeSH KeywordsAntibodies, MonoclonalAntigens, SurfaceAntineoplastic Combined Chemotherapy ProtocolsCTLA-4 AntigenCytokinesGene Expression ProfilingGene Expression Regulation, NeoplasticHumansImmunophenotypingIpilimumabLymphocytes, Tumor-InfiltratingNeoplasmsNivolumabProgrammed Cell Death 1 ReceptorSignal TransductionT-Lymphocyte SubsetsConceptsPD-1T cellsCTLA-4Checkpoint blockadeCombination therapyReceptor occupancyCombination immune checkpoint blockadeCTLA-4 immune checkpointsPD-1 receptor occupancyTransitional memory T cellsAnti-PD-1 therapyAnti CTLA-4Immune-based combinationsPD-1 blockadeSoluble IL-2RImmune checkpoint blockadeNK cell functionMemory T cellsTherapy-induced changesT cell activationTumor T cellsHuman T cellsRemarkable antitumor effectImmunologic changesImmunologic effects
2012
Integrated analysis of tumor samples sheds light on tumor heterogeneity.
Parisi F, Micsinai M, Strino F, Ariyan S, Narayan D, Bacchiocchi A, Cheng E, Xu F, Li P, Kluger H, Halaban R, Kluger Y. Integrated analysis of tumor samples sheds light on tumor heterogeneity. The Yale Journal Of Biology And Medicine 2012, 85: 347-61. PMID: 23012583, PMCID: PMC3447199.Peer-Reviewed Original ResearchMeSH KeywordsCell Line, TumorChromosome MappingChromosomes, HumanDNA Copy Number VariationsEvolution, MolecularGene Expression ProfilingGene Expression Regulation, NeoplasticGenes, NeoplasmHumansIntercellular Signaling Peptides and ProteinsKaryotypingMelanomaMutationOligonucleotide Array Sequence AnalysisPolymorphism, Single NucleotideProto-Oncogene Proteins B-rafConceptsHigh-throughput profilingGene expression levelsExpression levelsDifferent gene expression levelsGene expression profilingCopy number analysisExpression profilingSNP arrayPathway analysisCopy number statusWnt pathwayTumor samplesNumber alteration profilesTumor heterogeneityTumor evolutionCopy number alteration profilesGenomic aberrationsIntegrated analysisCell linesTumor subclonesNumber analysisNumber statusProfilingDriver mutationsRecurrent association
2010
Genome-wide methylation and expression profiling identifies promoter characteristics affecting demethylation-induced gene up-regulation in melanoma
Rubinstein JC, Tran N, Ma S, Halaban R, Krauthammer M. Genome-wide methylation and expression profiling identifies promoter characteristics affecting demethylation-induced gene up-regulation in melanoma. BMC Medical Genomics 2010, 3: 4. PMID: 20144234, PMCID: PMC2843643, DOI: 10.1186/1755-8794-3-4.Peer-Reviewed Original ResearchMeSH KeywordsAgedAntimetabolites, AntineoplasticAzacitidineCell Line, TumorCpG IslandsDecitabineDNA MethylationDNA Modification MethylasesEnzyme InhibitorsEpigenesis, GeneticFemaleGene Expression ProfilingGenome, HumanHumansMaleMelanomaMiddle AgedPromoter Regions, GeneticTumor Suppressor ProteinsUp-RegulationConceptsHigh CpG contentCpG contentGenome-wide gene expression dataMethylation levelsPromoter CpG contentUp-regulates gene expressionGenome-wide methylationGenome-wide dataLow CpG contentMelanoma cell strainsGene expression dataTumor suppressor geneCytosine analog 5Lower methylation levelsTranscriptional silencingMethylated promotersHigher methylation levelsBisulfite sequencingDNA methylationCpG methylationDNA methyltransferaseGenomic hypomethylationPromoter characteristicsSpecific genesGene expression
2009
Genome-wide screen of promoter methylation identifies novel markers in melanoma
Koga Y, Pelizzola M, Cheng E, Krauthammer M, Sznol M, Ariyan S, Narayan D, Molinaro AM, Halaban R, Weissman SM. Genome-wide screen of promoter methylation identifies novel markers in melanoma. Genome Research 2009, 19: 1462-1470. PMID: 19491193, PMCID: PMC2720187, DOI: 10.1101/gr.091447.109.Peer-Reviewed Original ResearchMeSH KeywordsAdaptor Proteins, Signal TransducingAdultAgedBiomarkers, TumorCells, CulturedCluster AnalysisCollagenCollagen Type IDNA MethylationFemaleGene Expression ProfilingGenome-Wide Association StudyGenome, HumanHSP20 Heat-Shock ProteinsHumansInfant, NewbornMaleMelanomaMetallothioneinMiddle AgedMolecular ChaperonesNuclear ProteinsNucleoplasminsOligonucleotide Array Sequence AnalysisPhosphoproteinsPromoter Regions, GeneticProteinsReproducibility of ResultsReverse Transcriptase Polymerase Chain ReactionSequence Analysis, DNATumor Cells, CulturedConceptsDifferential gene expressionGene expressionPromoter methylationGenome-wide promoter methylationGenome-wide integrative analysisPromoter CpG contentMethylation markersGenome-wide screenSequencing of bisulfiteTranscription start siteMelanoma cell strainsCell strainsTranscriptional machineryNovel genesEpigenetic modificationsDNA methylationIdentifies novel markersStart siteSnap-frozen tissuesCpG contentAdult melanocytesIntegrative analysisReal-time reverse transcriptase PCRHuman diseasesMethylationIntegrative Analysis of Epigenetic Modulation in Melanoma Cell Response to Decitabine: Clinical Implications
Halaban R, Krauthammer M, Pelizzola M, Cheng E, Kovacs D, Sznol M, Ariyan S, Narayan D, Bacchiocchi A, Molinaro A, Kluger Y, Deng M, Tran N, Zhang W, Picardo M, Enghild JJ. Integrative Analysis of Epigenetic Modulation in Melanoma Cell Response to Decitabine: Clinical Implications. PLOS ONE 2009, 4: e4563. PMID: 19234609, PMCID: PMC2642998, DOI: 10.1371/journal.pone.0004563.Peer-Reviewed Original ResearchConceptsDNA damage responseMelanoma cell responseDamage responseGene expressionIntegrative analysisDifferential gene expressionMelanoma cell strainsGene expression profilesDNA promoter methylationP53-independent mannerHistone modificationsImproved combination therapiesEpigenetic modifiersTGFbeta pathwayBioinformatics analysisProtein stabilityEpigenetic modulationResistant melanoma cellsExpression profilesGrowth arrestPromoter methylationCancer cellsCell strainsProteasome inhibitorsPTEN mutations
2005
Melanocyte and Keratinocyte Carcinogenesis: p53 Family Protein Activities and Intersecting mRNA Expression Profiles
Kulesz-Martin M, Lagowski J, Fei S, Pelz C, Sears R, Powell MB, Halaban R, Johnson J. Melanocyte and Keratinocyte Carcinogenesis: p53 Family Protein Activities and Intersecting mRNA Expression Profiles. Journal Of Investigative Dermatology Symposium Proceedings 2005, 10: 142-152. PMID: 16363065, DOI: 10.1111/j.1087-0024.2005.200405.x.Peer-Reviewed Original Research
2004
Expression Profiling Reveals Novel Pathways in the Transformation of Melanocytes to Melanomas
Hoek K, Rimm DL, Williams KR, Zhao H, Ariyan S, Lin A, Kluger HM, Berger AJ, Cheng E, Trombetta ES, Wu T, Niinobe M, Yoshikawa K, Hannigan GE, Halaban R. Expression Profiling Reveals Novel Pathways in the Transformation of Melanocytes to Melanomas. Cancer Research 2004, 64: 5270-5282. PMID: 15289333, DOI: 10.1158/0008-5472.can-04-0731.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsBiomarkers, TumorCell Transformation, NeoplasticCohort StudiesDown-RegulationGene Expression ProfilingGene Expression Regulation, NeoplasticHumansLymphatic MetastasisMelanocytesMelanomaMiceNuclear ProteinsOligonucleotide Array Sequence AnalysisPrognosisSignal TransductionSkin NeoplasmsSurvival RateTranscription FactorsTransfectionTwist-Related Protein 1Ubiquitin ThiolesteraseConceptsGlobal differential gene expressionMembrane trafficking eventsNovel pathwayNormal melanocytesHelix protein TwistAdditional transcriptional regulatorsDifferential gene expressionMelanoma cellsTransformation of melanocytesCpG promoter methylationNormal human melanocytesTrafficking eventsTranscriptional regulatorsEmbryonic developmentGrowth suppressorChromosomal regionsExpression profilingGene expressionNotch pathwayOligonucleotide microarraysMelanoma tissue microarrayDifferential expressionGenesHuman melanocytesGrowth advantage