2020
Digital quantitative assessment of PD-L1 using digital spatial profiling
Gupta S, Zugazagoitia J, Martinez-Morilla S, Fuhrman K, Rimm DL. Digital quantitative assessment of PD-L1 using digital spatial profiling. Laboratory Investigation 2020, 100: 1311-1317. PMID: 32249818, PMCID: PMC7502436, DOI: 10.1038/s41374-020-0424-5.Peer-Reviewed Original ResearchMeSH KeywordsB7-H1 AntigenBiomarkersCell LineHumansImmunohistochemistryProtein Array AnalysisReproducibility of ResultsTissue Array AnalysisConceptsTissue microarrayPD-L1Digital spatial profilingDeath 1 ligand 1 expressionPD-L1 immunohistochemistry assaysDigital quantitative assessmentDigital Spatial ProfilerLigand 1 expressionPD-L1 assaysCompanion diagnostic testingCell linesImmune therapyPredictive markerImmune cellsImmunohistochemistry assaysQuantitative immunohistochemistryUS FoodDrug AdministrationDiagnostic testingImmunohistochemistryNCounter platformTumor cellsDifferent scoring methodsMultiple studiesDifferent antibodies
2010
Quantitative evaluation of protein expression as a function of tissue microarray core diameter: is a large (1.5 mm) core better than a small (0.6 mm) core?
Anagnostou VK, Lowery FJ, Syrigos KN, Cagle PT, Rimm DL. Quantitative evaluation of protein expression as a function of tissue microarray core diameter: is a large (1.5 mm) core better than a small (0.6 mm) core? Archives Of Pathology & Laboratory Medicine 2010, 134: 613-9. PMID: 20367312, DOI: 10.5858/134.4.613.Peer-Reviewed Original Research
2009
Melanoma Prognostic Model Using Tissue Microarrays and Genetic Algorithms
Rothberg BE, Berger AJ, Molinaro AM, Subtil A, Krauthammer MO, Camp RL, Bradley WR, Ariyan S, Kluger HM, Rimm DL. Melanoma Prognostic Model Using Tissue Microarrays and Genetic Algorithms. Journal Of Clinical Oncology 2009, 27: 5772-5780. PMID: 19884546, PMCID: PMC2792999, DOI: 10.1200/jco.2009.22.8239.Peer-Reviewed Original ResearchConceptsHigh-risk groupPhosphatidylinositol-3-Kinase as a Therapeutic Target in Melanoma
Aziz SA, Davies M, Pick E, Zito C, Jilaveanu L, Camp RL, Rimm DL, Kluger Y, Kluger HM. Phosphatidylinositol-3-Kinase as a Therapeutic Target in Melanoma. Clinical Cancer Research 2009, 15: 3029-3036. PMID: 19383818, PMCID: PMC4431617, DOI: 10.1158/1078-0432.ccr-08-2768.Peer-Reviewed Original ResearchMeSH KeywordsBrain NeoplasmsCell ProliferationChromonesEnzyme InhibitorsHumansImmunoblottingImmunoenzyme TechniquesMelanomaMorpholinesNevus, PigmentedPhosphatidylinositol 3-KinasesPhosphoinositide-3 Kinase InhibitorsPhosphorylationProtein Array AnalysisSkin NeoplasmsTissue Array AnalysisTumor Cells, CulturedConceptsPhosphatidylinositol-3 kinasePI3K inhibitorsExpression of p85PI3KP110alpha subunitPathway membersK inhibitorsCell linesPI3K pathway membersReverse phase protein arrayGood drug targetPhase protein arrayPI3K pathwayTargets of drugsCellular processesPhospho-Akt levelsPI3K inhibitionMelanoma cell linesDrug targetsFull activationP85K pathwayLY294002Protein arraysResistant cell linesThe Semaphorin 7A Receptor Plexin C1 Is Lost During Melanoma Metastasis
Lazova R, Rothberg BE, Rimm D, Scott G. The Semaphorin 7A Receptor Plexin C1 Is Lost During Melanoma Metastasis. American Journal Of Dermatopathology 2009, 31: 177-181. PMID: 19318806, DOI: 10.1097/dad.0b013e318196672d.Peer-Reviewed Original ResearchConceptsTumor suppressor proteinHuman melanocytesPlexin C1Suppressor proteinPlexin C1 receptorsMelanocyte stem cellsCytoskeletal reorganizationNeuronal pathfindingDownstream targetsKinase IIProgression of melanomaBlood vessel growthCell survivalCell adhesionCell migrationFunctional studiesNormal melanocytesCell growthCognate receptorsStem cellsCritical mediatorMelanocytesSemaphorin 7AVessel growthSemaphorins
2008
Expression patterns and prognostic value of Bag-1 and Bcl-2 in breast cancer
Nadler Y, Camp RL, Giltnane JM, Moeder C, Rimm DL, Kluger HM, Kluger Y. Expression patterns and prognostic value of Bag-1 and Bcl-2 in breast cancer. Breast Cancer Research 2008, 10: r35. PMID: 18430249, PMCID: PMC2397537, DOI: 10.1186/bcr1998.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAntineoplastic AgentsBiomarkers, TumorBreast NeoplasmsDNA-Binding ProteinsDrug Resistance, NeoplasmFemaleFluorescent Antibody TechniqueFollow-Up StudiesGene Expression Regulation, NeoplasticHumansImmunohistochemistryKaplan-Meier EstimateLymphatic MetastasisMiddle AgedPredictive Value of TestsPrognosisProportional Hazards ModelsProtein Array AnalysisProto-Oncogene Proteins c-bcl-2Receptors, EstrogenReceptors, ProgesteroneTranscription FactorsTreatment OutcomeConceptsNode-positive subsetHER2/neuProgesterone receptorBreast cancerEstrogen receptorBcl-2 expressionBAG-1 expressionImproved survivalBcl-2Anti-apoptotic mediator Bcl-2Breast tumorsSteroid receptor positivitySubset of patientsBAG-1Antihormonal therapyFavorable prognosisReceptor positivityMultivariable analysisPathological variablesEntire cohortPrognostic valuePrognostic markerImproved outcomesLarge cohortClinical development
2007
Quantitative Justification of the Change From 10% to 30% for Human Epidermal Growth Factor Receptor 2 Scoring in the American Society of Clinical Oncology/College of American Pathologists Guidelines: Tumor Heterogeneity in Breast Cancer and Its Implications for Tissue Microarray–Based Assessment of Outcome
Moeder CB, Giltnane JM, Harigopal M, Molinaro A, Robinson A, Gelmon K, Huntsman D, Camp RL, Rimm DL. Quantitative Justification of the Change From 10% to 30% for Human Epidermal Growth Factor Receptor 2 Scoring in the American Society of Clinical Oncology/College of American Pathologists Guidelines: Tumor Heterogeneity in Breast Cancer and Its Implications for Tissue Microarray–Based Assessment of Outcome. Journal Of Clinical Oncology 2007, 25: 5418-5425. PMID: 18048824, DOI: 10.1200/jco.2007.12.8033.Peer-Reviewed Original ResearchQuantitative analysis of estrogen receptor heterogeneity in breast cancer
Chung GG, Zerkowski MP, Ghosh S, Camp RL, Rimm DL. Quantitative analysis of estrogen receptor heterogeneity in breast cancer. Laboratory Investigation 2007, 87: 662-669. PMID: 17334408, DOI: 10.1038/labinvest.3700543.Peer-Reviewed Original ResearchAdenocarcinomaAutomationBiomarkers, TumorBreast NeoplasmsFemaleHumansImage Processing, Computer-AssistedImmunohistochemistryLinear ModelsNeoplasm ProteinsObserver VariationParaffin EmbeddingPrognosisProtein Array AnalysisReceptors, EstrogenReproducibility of ResultsResearch DesignRetrospective StudiesSensitivity and SpecificityPhosphorylation of Akt (Ser473) Predicts Poor Clinical Outcome in Oropharyngeal Squamous Cell Cancer
Yu Z, Weinberger PM, Sasaki C, Egleston BL, Speier WF, Haffty B, Kowalski D, Camp R, Rimm D, Vairaktaris E, Burtness B, Psyrri A. Phosphorylation of Akt (Ser473) Predicts Poor Clinical Outcome in Oropharyngeal Squamous Cell Cancer. Cancer Epidemiology Biomarkers & Prevention 2007, 16: 553-558. PMID: 17372251, DOI: 10.1158/1055-9965.epi-06-0121.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedBiomarkers, TumorCarcinoma, Squamous CellChi-Square DistributionFemaleHumansImmunoenzyme TechniquesMaleMiddle AgedNeoplasm Recurrence, LocalOropharyngeal NeoplasmsPhosphorylationPredictive Value of TestsPrognosisProportional Hazards ModelsProtein Array AnalysisProto-Oncogene Proteins c-aktPTEN PhosphohydrolaseSurvival AnalysisConceptsNuclear p-AktAkt activationP-AktOropharyngeal squamous cell cancerSquamous cell carcinoma progressionPhosphorylated AktCohort of patientsLocal recurrence rateOverall survival rateSquamous cell cancerPoor clinical outcomeAdverse patient outcomesP-AKT levelsPromising molecular targetP-AKT expressionProtein expression levelsPhosphorylation of AktDisease recurrenceLocal recurrenceCell cancerClinical outcomesAdjusted analysisPrognostic significanceRecurrence ratePatient outcomes
2006
Immunohistochemistry and quantitative analysis of protein expression.
Cregger M, Berger AJ, Rimm DL. Immunohistochemistry and quantitative analysis of protein expression. Archives Of Pathology & Laboratory Medicine 2006, 130: 1026-30. PMID: 16831029, DOI: 10.5858/2006-130-1026-iaqaop.Peer-Reviewed Original Research
2005
Automated Quantitative Analysis (AQUA) of In Situ Protein Expression, Antibody Concentration, and Prognosis
McCabe A, Dolled-Filhart M, Camp RL, Rimm DL. Automated Quantitative Analysis (AQUA) of In Situ Protein Expression, Antibody Concentration, and Prognosis. Journal Of The National Cancer Institute 2005, 97: 1808-1815. PMID: 16368942, DOI: 10.1093/jnci/dji427.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overAntibodies, NeoplasmBiomarkers, TumorCell Line, TumorConfidence IntervalsEnzyme-Linked Immunosorbent AssayFemaleFluorescent Antibody TechniqueGene Expression ProfilingGene Expression Regulation, NeoplasticHumansImmunohistochemistryMaleMiddle AgedNeoplasmsOdds RatioPredictive Value of TestsPrognosisProtein Array AnalysisReceptor, ErbB-2Receptors, EstrogenSurvival AnalysisTreatment OutcomeTumor Suppressor Protein p53ConceptsDisease-specific mortalityHigh HER2 expressionHER2 expressionAntibody concentrationsHigh expressionPoor survivalRelative riskTissue microarrayCumulative disease-specific survivalBiomarker expressionLong-term survival dataLow expressionHER2 antibodyX-tile programDisease-specific survivalLow HER2 expressionKaplan-Meier methodBreast cancer patientsExpression of HER2Higher antibody concentrationsLow antibody concentrationsConcentration of antibodyCancer patientsPatient outcomesSitu protein expressionAutomated Quantitative Analysis of Activator Protein-2α Subcellular Expression in Melanoma Tissue Microarrays Correlates with Survival Prediction
Berger AJ, Davis DW, Tellez C, Prieto VG, Gershenwald JE, Johnson MM, Rimm DL, Bar-Eli M. Automated Quantitative Analysis of Activator Protein-2α Subcellular Expression in Melanoma Tissue Microarrays Correlates with Survival Prediction. Cancer Research 2005, 65: 11185-11192. PMID: 16322269, DOI: 10.1158/0008-5472.can-05-2300.Peer-Reviewed Original ResearchMeSH KeywordsCell NucleusCytoplasmFluorescent Antibody TechniqueHumansMelanomaPredictive Value of TestsPrognosisProtein Array AnalysisTranscription Factor AP-2ConceptsAP-2 expressionM.D. Anderson Cancer CenterCytoplasmic expression levelsAnderson Cancer CenterAP-2 levelsProgression of melanomaMelanoma tissue microarrayClinicopathologic factorsRetrospective cohortMetastatic groupPrognostic significanceBreslow depthCancer CenterNevi groupPoor prognosisMetastatic melanomaPrimary tumorPrimary melanomaDiagnosis groupsTissue microarrayTumor growthMelanoma specimensMalignant transformationHuman melanomaMelanoma progressionImmunohistochemical Biomarkers in Patients with Early-Onset Breast Carcinoma by Tissue Microarray
Choi DH, Kim S, Rimm DL, Carter D, Haffty BG. Immunohistochemical Biomarkers in Patients with Early-Onset Breast Carcinoma by Tissue Microarray. The Cancer Journal 2005, 11: 404-411. PMID: 16259871, DOI: 10.1097/00130404-200509000-00008.Peer-Reviewed Original ResearchMeSH KeywordsAdenocarcinoma, MucinousAdultBiomarkers, TumorBreast NeoplasmsDisease-Free SurvivalFemaleFollow-Up StudiesHumansImmunohistochemistryKi-67 AntigenMiddle AgedMultivariate AnalysisNeoplasm Recurrence, LocalNeoplasms, Ductal, Lobular, and MedullaryProtein Array AnalysisProto-Oncogene Proteins c-bcl-2Receptor, ErbB-2Receptors, EstrogenReceptors, ProgesteroneTime FactorsTumor Suppressor Protein p53Women's HealthConceptsHER-2/neuBreast cancerProgesterone receptorKi-67Local relapseNodal statusYoung womenDistant metastasisTumor stageBiologic markersEstrogen receptorRelapse-free survival rateDistant metastasis-free rateDistant relapse-free survival ratesEarly-stage breast cancerEarly-onset breast cancerEarly-onset breast carcinomaProgesterone receptor negativityGroup of patientsMetastasis-free rateBcl-2Ki-67 positivityParaffin-embedded specimensTissue microarray methodConservative surgery
2004
Automated Quantitative Analysis of HDM2 Expression in Malignant Melanoma Shows Association with Early-Stage Disease and Improved Outcome
Berger AJ, Camp RL, DiVito KA, Kluger HM, Halaban R, Rimm DL. Automated Quantitative Analysis of HDM2 Expression in Malignant Melanoma Shows Association with Early-Stage Disease and Improved Outcome. Cancer Research 2004, 64: 8767-8772. PMID: 15574789, DOI: 10.1158/0008-5472.can-04-1384.Peer-Reviewed Original ResearchConceptsMurine double minute 2Double minute 2Protein expressionMalignant melanomaMinute 2Early-stage diseaseTissue microarray cohortPotential tissue biomarkersCutaneous malignant melanomaValuable prognostic toolNormal skin samplesSkin cancer deathsMicroarray cohortAdvanced melanomaMetastatic lesionsCancer deathPrimary melanomaImproved outcomesExpression of HDM2Tissue biomarkersPrognostic toolBetter outcomesMelanoma lesionsAggressive natureMelanomaAutomated Quantitative Analysis of Tissue Microarrays Reveals an Association between High Bcl-2 Expression and Improved Outcome in Melanoma
Divito KA, Berger AJ, Camp RL, Dolled-Filhart M, Rimm DL, Kluger HM. Automated Quantitative Analysis of Tissue Microarrays Reveals an Association between High Bcl-2 Expression and Improved Outcome in Melanoma. Cancer Research 2004, 64: 8773-8777. PMID: 15574790, DOI: 10.1158/0008-5472.can-04-1387.Peer-Reviewed Original ResearchMeSH KeywordsCohort StudiesHumansImmunohistochemistryMelanomaMultivariate AnalysisPrognosisProtein Array AnalysisProto-Oncogene Proteins c-bcl-2Skin NeoplasmsSurvival RateConceptsBcl-2 expressionHigh Bcl-2 expressionTissue microarrayMetastatic specimensResponse rateSmall cohortProgression-free survivalImproved response ratesLarge patient cohortMelanoma patientsClark levelEntire cohortBreslow depthClinical variablesPatient cohortMetastatic melanomaContinuous index scoreBetter outcomesIndex scoreMelanoma specimensCohortMelanomaBcl-2PatientsOutcomesLong-term preservation of antigenicity on tissue microarrays
DiVito KA, Charette LA, Rimm DL, Camp RL. Long-term preservation of antigenicity on tissue microarrays. Laboratory Investigation 2004, 84: 1071-1078. PMID: 15195116, DOI: 10.1038/labinvest.3700131.Peer-Reviewed Original ResearchQuantitative Determination of Expression of the Prostate Cancer Protein α-Methylacyl-CoA Racemase Using Automated Quantitative Analysis (AQUA) A Novel Paradigm for Automated and Continuous Biomarker Measurements
Rubin MA, Zerkowski MP, Camp RL, Kuefer R, Hofer MD, Chinnaiyan AM, Rimm DL. Quantitative Determination of Expression of the Prostate Cancer Protein α-Methylacyl-CoA Racemase Using Automated Quantitative Analysis (AQUA) A Novel Paradigm for Automated and Continuous Biomarker Measurements. American Journal Of Pathology 2004, 164: 831-840. PMID: 14982837, PMCID: PMC1613273, DOI: 10.1016/s0002-9440(10)63171-9.Peer-Reviewed Original ResearchConceptsProstate cancerProstate tissue samplesAMACR protein expressionTissue samplesProtein expressionProstate tissueZ-scoreAcinar prostate cancerLow AMACR expressionΑ-Methylacyl-CoA racemaseTissue microarray samplesTissue microarray slidesBenign prostate tissueProgression tissue microarrayMetastatic tumor samplesTissue-based markersMost tissue samplesProstate tissue biomarkersProstate cancer biomarkersBenign prostate tissue samplesImmunohistochemical evaluationSeparation of tumorAMACR expressionTissue biomarkersTissue microarray