2022
Baseline gene expression profiling determines long-term benefit to programmed cell death protein 1 axis blockade
Vathiotis I, Salichos L, Martinez-Morilla S, Gavrielatou N, Aung T, Shafi S, Wong P, Jessel S, Kluger H, Syrigos K, Warren S, Gerstein M, Rimm D. Baseline gene expression profiling determines long-term benefit to programmed cell death protein 1 axis blockade. Npj Precision Oncology 2022, 6: 92. PMID: 36522538, PMCID: PMC9755314, DOI: 10.1038/s41698-022-00330-3.Peer-Reviewed Original ResearchProgression-free survivalLong-term benefitsPredictive valueAnti-PD-1 therapyCell death protein 1Baseline tumor samplesImmune checkpoint inhibitorsAntitumor immune responseCohort of patientsDeath protein 1Gene expression profilesAdvanced diseaseCheckpoint inhibitorsAdvanced melanomaAxis blockadeImmunotherapy outcomesTreatment initiationEarly outcomesDisease progressionMalignant melanomaBaseline gene expressionImmune responseBaseline gene expression profilesExpression profilesTumor samples
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
2006
Characterizing disease states from topological properties of transcriptional regulatory networks
Tuck DP, Kluger HM, Kluger Y. Characterizing disease states from topological properties of transcriptional regulatory networks. BMC Bioinformatics 2006, 7: 236. PMID: 16670008, PMCID: PMC1482723, DOI: 10.1186/1471-2105-7-236.Peer-Reviewed Original ResearchConceptsTranscriptional regulatory networksRegulatory networksTranscription factorsTranscriptional networksRegulated genesGene deregulationExpression profilesDiseased statesGene regulatory networksCentrality of genesGene expression experimentsGene expression profilesGene expression studiesGene centralityRegulatory linkExpression experimentsExpression studiesGene linksGenesCell typesExpression datasetsGene subsetsDifferential activityNormal cellsRemarkable degree