2012
Gene expression array analysis to determine tissue of origin of carcinoma of unknown primary
Dolled‐Filhart M, Rimm DL. Gene expression array analysis to determine tissue of origin of carcinoma of unknown primary. Cancer Cytopathology 2012, 121: 129-135. PMID: 22927160, DOI: 10.1002/cncy.21228.Peer-Reviewed Original ResearchMeSH KeywordsBiomarkers, TumorCell LineageGene Expression ProfilingGenetic TestingHumansNeoplasms, Unknown PrimaryOligonucleotide Array Sequence AnalysisPrognosisConceptsTissue of origin
2010
PMCA2 regulates apoptosis during mammary gland involution and predicts outcome in breast cancer
VanHouten J, Sullivan C, Bazinet C, Ryoo T, Camp R, Rimm DL, Chung G, Wysolmerski J. PMCA2 regulates apoptosis during mammary gland involution and predicts outcome in breast cancer. Proceedings Of The National Academy Of Sciences Of The United States Of America 2010, 107: 11405-11410. PMID: 20534448, PMCID: PMC2895115, DOI: 10.1073/pnas.0911186107.Peer-Reviewed Original ResearchConceptsPMCA2 expressionBreast cancerT47D breast cancer cellsIntracellular calcium levelsBreast cancer progressionBreast cancer cellsEpithelial cell apoptosisPoor outcomeIntracellular calciumCalcium levelsMammary gland involutionCancer progressionCell apoptosisCancer cellsMammary involutionApoptosisGland involutionCancerMammary epithelial cell apoptosisOutcomesPMCA2Triggers apoptosisApical surfaceExpressionOverexpressionMultiplexed Assessment of the Southwest Oncology Group-Directed Intergroup Breast Cancer Trial S9313 by AQUA Shows that Both High and Low Levels of HER2 Are Associated with Poor Outcome
Harigopal M, Barlow WE, Tedeschi G, Porter PL, Yeh IT, Haskell C, Livingston R, Hortobagyi GN, Sledge G, Shapiro C, Ingle JN, Rimm DL, Hayes DF. Multiplexed Assessment of the Southwest Oncology Group-Directed Intergroup Breast Cancer Trial S9313 by AQUA Shows that Both High and Low Levels of HER2 Are Associated with Poor Outcome. American Journal Of Pathology 2010, 176: 1639-1647. PMID: 20150438, PMCID: PMC2843456, DOI: 10.2353/ajpath.2010.090711.Peer-Reviewed Original ResearchConceptsDisease-free survivalEstrogen receptorContinuous variablesSouthwest Oncology GroupAQUA methodAC chemotherapyMenopausal statusNegative patientsOncology GroupNode statusSequential doxorubicinPoor outcomeTumor sizeProgesterone receptorPrognostic informationWorse outcomesTissue biomarkersTissue microarrayBiphasic effectP53 expressionPatientsHER2Low expressersDiagnostic approachMultiplexed assessment
2009
Gab2-Mediated Signaling Promotes Melanoma Metastasis
Horst B, Gruvberger-Saal SK, Hopkins BD, Bordone L, Yang Y, Chernoff KA, Uzoma I, Schwipper V, Liebau J, Nowak NJ, Brunner G, Owens D, Rimm DL, Parsons R, Celebi JT. Gab2-Mediated Signaling Promotes Melanoma Metastasis. American Journal Of Pathology 2009, 174: 1524-1533. PMID: 19342374, PMCID: PMC2671382, DOI: 10.2353/ajpath.2009.080543.Peer-Reviewed Original ResearchMeSH KeywordsAdaptor Proteins, Signal TransducingBiomarkers, TumorBlotting, WesternCell MovementChromosomes, Artificial, BacterialComparative Genomic HybridizationFluorescent Antibody TechniqueGene DosageHumansIn Situ Hybridization, FluorescenceMelanomaNeoplasm InvasivenessNeoplasm MetastasisOligonucleotide Array Sequence AnalysisPolymorphism, Single NucleotideReverse Transcriptase Polymerase Chain ReactionSignal TransductionTissue Array AnalysisConceptsPI3K-Akt pathwayBacterial artificial chromosome array comparative genomic hybridizationInvasive potentialGrowth factor independenceSingle nucleotide polymorphism arrayCritical biological featuresHyperactivation of AKTMelanoma tumor progressionNucleotide polymorphism arrayTumor cell migrationArray comparative genomic hybridizationAdaptor proteinComparative genomic hybridizationRas-ERKFactor independenceMetastatic melanoma samplesMelanoma cell linesGab2Polymorphism arrayCopy numberCell migrationHuman cancersUndefined roleWide searchGenomic hybridization
2008
Estrogen receptor co-activator (AIB1) protein expression by automated quantitative analysis (AQUA) in a breast cancer tissue microarray and association with patient outcome
Harigopal M, Heymann J, Ghosh S, Anagnostou V, Camp RL, Rimm DL. Estrogen receptor co-activator (AIB1) protein expression by automated quantitative analysis (AQUA) in a breast cancer tissue microarray and association with patient outcome. Breast Cancer Research And Treatment 2008, 115: 77-85. PMID: 18521745, DOI: 10.1007/s10549-008-0063-9.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsAutomationBiomarkers, TumorBreast NeoplasmsFemaleGene Expression Regulation, NeoplasticHumansMultivariate AnalysisNuclear Receptor Coactivator 3Oligonucleotide Array Sequence AnalysisPrognosisProportional Hazards ModelsReceptors, EstrogenReceptors, ProgesteroneRegression AnalysisTranscription FactorsTreatment OutcomeConceptsHigh AIB1 expressionTranscription intermediary factor 2Poor patient outcomesAIB1 expressionTissue microarrayPatient outcomesHER2/neu statusBreast cancer tissue microarrayFluorescent immunohistochemical stainingWorse overall survivalUnivariate survival analysisBreast cancer specimensCancer tissue microarrayHER2/neuCoregulatory proteinsCox univariate survival analysesBreast tissue microarraysOverall survivalER statusPR statusPrognostic significanceIndependent associationBreast cancerPrognostic biomarkerImmunohistochemical staining
2006
Met, the Hepatocyte Growth Factor Receptor, Localizes to the Nucleus in Cells at Low Density
Pozner-Moulis S, Pappas DJ, Rimm DL. Met, the Hepatocyte Growth Factor Receptor, Localizes to the Nucleus in Cells at Low Density. Cancer Research 2006, 66: 7976-7982. PMID: 16912172, DOI: 10.1158/0008-5472.can-05-4335.Peer-Reviewed Original ResearchExpression of Tumor Necrosis Factor–Related Apoptosis-Inducing Ligand Receptors 1 and 2 in Melanoma
McCarthy MM, DiVito KA, Sznol M, Kovacs D, Halaban R, Berger AJ, Flaherty KT, Camp RL, Lazova R, Rimm DL, Kluger HM. Expression of Tumor Necrosis Factor–Related Apoptosis-Inducing Ligand Receptors 1 and 2 in Melanoma. Clinical Cancer Research 2006, 12: 3856-3863. PMID: 16778114, PMCID: PMC1839847, DOI: 10.1158/1078-0432.ccr-06-0190.Peer-Reviewed Original ResearchMeSH KeywordsGene Expression RegulationGene Expression Regulation, NeoplasticHumansMelanomaNeoplasm MetastasisOligonucleotide Array Sequence AnalysisReceptors, TNF-Related Apoptosis-Inducing LigandReceptors, Tumor Necrosis FactorReference Values
2005
Evaluating the Expression and Prognostic Value of TRAIL-R1 and TRAIL-R2 in Breast Cancer
McCarthy MM, Sznol M, DiVito KA, Camp RL, Rimm DL, Kluger HM. Evaluating the Expression and Prognostic Value of TRAIL-R1 and TRAIL-R2 in Breast Cancer. Clinical Cancer Research 2005, 11: 5188-5194. PMID: 16033835, DOI: 10.1158/1078-0432.ccr-05-0158.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overBreast NeoplasmsCase-Control StudiesFemaleFollow-Up StudiesGene Expression ProfilingHumansMiddle AgedMultivariate AnalysisOligonucleotide Array Sequence AnalysisPrognosisReceptors, TNF-Related Apoptosis-Inducing LigandReceptors, Tumor Necrosis FactorSurvival AnalysisConceptsEarly-stage breast cancerTRAIL-R2 expressionBreast cancerPrognostic valueTRAIL-R2TRAIL-R1Normal breast specimensTumor necrosis factor-related apoptosis-inducing ligand receptor 1Lymph node involvementSubset of patientsBreast cancer patientsIndependent prognostic markerTRAIL-R1 expressionNormal breast epitheliumTRAIL receptor expressionLigand receptor 1Apoptosis-inducing ligand receptor 1Adjuvant treatmentNode involvementNodal statusPathologic variablesTumor sizeCancer patientsClinical trialsPrognostic markerUsing 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"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
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 advantageHer2/neu is not a commonly expressed therapeutic target in melanoma – a large cohort tissue microarray study
Kluger HM, DiVito K, Berger AJ, Halaban R, Ariyan S, Camp RL, Rimm DL. Her2/neu is not a commonly expressed therapeutic target in melanoma – a large cohort tissue microarray study. Melanoma Research 2004, 14: 207-210. PMID: 15179190, DOI: 10.1097/01.cmr.0000130874.33504.2f.Peer-Reviewed Original ResearchMeSH KeywordsCohort StudiesFemaleGene Expression Regulation, NeoplasticHumansImmunohistochemistryMaleMelanomaNeoplasm StagingOligonucleotide Array Sequence AnalysisReceptor, ErbB-2ConceptsHER2/neu expressionHER2/neuNeu expressionMelanoma specimensNeu stainingMelanoma patientsLarge cohortPositive HER2/neu expressionChemotherapy-resistant malignancyPrimary cutaneous lesionNumerous new agentsTissue microarray studyMonoclonal antibody trastuzumabAdjuvant therapyCutaneous specimensTrastuzumab therapyMetastatic lesionsBreslow depthClark levelClinicopathological dataCutaneous lesionsPrimary lesionTumor stageMetastatic melanomaBreast cancer
2002
Tissue microarray‐based analysis shows phospho‐β‐catenin expression in malignant melanoma is associated with poor outcome
Kielhorn E, Provost E, Olsen D, D'Aquila TG, Smith BL, Camp RL, Rimm DL. Tissue microarray‐based analysis shows phospho‐β‐catenin expression in malignant melanoma is associated with poor outcome. International Journal Of Cancer 2002, 103: 652-656. PMID: 12494474, DOI: 10.1002/ijc.10893.Peer-Reviewed Original ResearchConceptsMalignant melanomaTissue microarray-based studyTissue microarray-based analysisWorse overall survivalDepth of invasionImmuno-histochemical analysisPhospho-specific antibodiesPhospho-β-catenin expressionOverall survivalMetastatic lesionsPrimary lesionPoor outcomePrognostic markerMelanomaUnique subsetNuclear stainingAntibodiesCatenin antibodyMicroarray-based analysisLesionsOutcomesCatenin expressionSer33/37/Thr41Microarray-based studiesHuman tissues
2001
Tissue microarray analysis of beta-catenin in colorectal cancer shows nuclear phospho-beta-catenin is associated with a better prognosis.
Chung GG, Provost E, Kielhorn EP, Charette LA, Smith BL, Rimm DL. Tissue microarray analysis of beta-catenin in colorectal cancer shows nuclear phospho-beta-catenin is associated with a better prognosis. Clinical Cancer Research 2001, 7: 4013-20. PMID: 11751495.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsBeta CateninCadherinsCell LineCell NucleusColorectal NeoplasmsCytoplasmCytoskeletal ProteinsDogsGene Expression Regulation, NeoplasticHumansImmunohistochemistryNeoplasm StagingOligonucleotide Array Sequence AnalysisPhosphoproteinsPrognosisProportional Hazards ModelsRecombinant ProteinsReproducibility of ResultsSurvival RateTrans-ActivatorsTransfectionTreatment OutcomeConceptsOverall survivalNuclear expressionColorectal cancerSeries of patientsColorectal cancer specimensTissue microarray analysisMajority of cancersBetter prognosisClinical outcomesClinicopathological factorsImproved survivalCancer specimensTissue microarrayImmunohistochemical analysisMembranous stainingColorectal tumorigenesisCytoplasmic stainingMultivariate analysisSignificant associationCancerAdenomatous polyposis coli (APC) geneNuclear stainingBeta-catenin overexpressionOnly stageSurvivalAmplification of Tissue by Construction of Tissue Microarrays
Rimm D, Camp R, Charette L, Olsen D, Provost E. Amplification of Tissue by Construction of Tissue Microarrays. Experimental And Molecular Pathology 2001, 70: 255-264. PMID: 11418004, DOI: 10.1006/exmp.2001.2363.Peer-Reviewed Original ResearchImpact of Microarray Technologies on Cytopathology
Rimm DL. Impact of Microarray Technologies on Cytopathology. Acta Cytologica 2001, 45: 111-114. PMID: 11284295, DOI: 10.1159/000327267.Peer-Reviewed Original Research