2024
Spatially Informed Gene Signatures for Response to Immunotherapy in Melanoma.
Aung T, Warrell J, Martinez-Morilla S, Gavrielatou N, Vathiotis I, Yaghoobi V, Kluger H, Gerstein M, Rimm D. Spatially Informed Gene Signatures for Response to Immunotherapy in Melanoma. Clinical Cancer Research 2024, 30: 3520-3532. PMID: 38837895, PMCID: PMC11326985, DOI: 10.1158/1078-0432.ccr-23-3932.Peer-Reviewed Original ResearchGene signatureResistance to immunotherapyResponse to immunotherapyPrediction of treatment outcomeResistant to treatmentAccurate prediction of treatment outcomePredictive of responseImmunotherapy outcomesMelanoma patientsMelanoma specimensValidation cohortPatient stratificationDiscovery cohortTreatment outcomesImmunotherapyMelanomaTumorPatientsCohortS100BOutcomesGene expression dataGenesCD68+macrophagesExpression data
2005
"Lineage Addiction" in Human Cancer: Lessons from Integrated Genomics
GARRAWAY L, WEIR B, ZHAO X, WIDLUND H, BEROUKHIM R, BERGER A, RIMM D, RUBIN M, FISHER D, MEYERSON M, SELLERS W. "Lineage Addiction" in Human Cancer: Lessons from Integrated Genomics. Cold Spring Harbor Symposia On Quantitative Biology 2005, 70: 25-34. PMID: 16869735, DOI: 10.1101/sqb.2005.70.016.Peer-Reviewed Original ResearchMeSH KeywordsChromosomes, Human, Pair 3Cluster AnalysisDNA, NeoplasmGene AmplificationGene DosageGene Expression ProfilingGenomicsHumansIn Situ Hybridization, FluorescenceMelanomaMicrophthalmia-Associated Transcription FactorNeoplasmsOligonucleotide Array Sequence AnalysisOncogenesPolymorphism, Single NucleotideConceptsLineage addictionGenome-scale data setsHigh-density single nucleotide polymorphism arraysNovel cancer genesSingle nucleotide polymorphism arrayDNA microarray platformCell line collectionCell linesAdditional functional studiesTumor survival mechanismsSNP array dataDetailed genomic characterizationGene expression dataDistinct tissue typesIntegrated GenomicCopy number alterationsTissue of originGenome characterizationSurvival mechanismCancer genesGenomic characterizationMelanoma cell linesSurvival pathwaysExpression dataProgression of tumors