2010
Automated Analysis of Tissue Microarrays
Dolled-Filhart M, Gustavson M, Camp RL, Rimm DL, Tonkinson JL, Christiansen J. Automated Analysis of Tissue Microarrays. Methods In Molecular Biology 2010, 664: 151-162. PMID: 20690061, DOI: 10.1007/978-1-60761-806-5_15.Peer-Reviewed Original Research
2009
Quantitative multiplexed analysis of ErbB family coexpression for primary breast cancer prognosis in a large retrospective cohort
Giltnane JM, Moeder CB, Camp RL, Rimm DL. Quantitative multiplexed analysis of ErbB family coexpression for primary breast cancer prognosis in a large retrospective cohort. Cancer 2009, 115: 2400-2409. PMID: 19330842, PMCID: PMC2756449, DOI: 10.1002/cncr.24277.Peer-Reviewed Original Research
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 stainingExpression 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 ResearchBimodal Population or Pathologist Artifact?
Rimm DL, Giltnane JM, Moeder C, Harigopal M, Chung GG, Camp RL, Burtness B. Bimodal Population or Pathologist Artifact? Journal Of Clinical Oncology 2007, 25: 2487-2488. PMID: 17557963, DOI: 10.1200/jco.2006.07.7537.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 Specificity
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 expression
2004
X-TileA New Bio-Informatics Tool for Biomarker Assessment and Outcome-Based Cut-Point Optimization
Camp RL, Dolled-Filhart M, Rimm DL. X-TileA New Bio-Informatics Tool for Biomarker Assessment and Outcome-Based Cut-Point Optimization. Clinical Cancer Research 2004, 10: 7252-7259. PMID: 15534099, DOI: 10.1158/1078-0432.ccr-04-0713.Peer-Reviewed Original ResearchLong-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 Research
2003
Tissue microarray‐based studies of patients with lymph node negative breast carcinoma show that met expression is associated with worse outcome but is not correlated with epidermal growth factor family receptors
Ocal I, Dolled‐Filhart M, D'Aquila TG, Camp RL, Rimm DL. Tissue microarray‐based studies of patients with lymph node negative breast carcinoma show that met expression is associated with worse outcome but is not correlated with epidermal growth factor family receptors. Cancer 2003, 97: 1841-1848. PMID: 12673709, DOI: 10.1002/cncr.11335.Peer-Reviewed Original ResearchMeSH KeywordsAdenocarcinomaBiomarkers, TumorBreast NeoplasmsCohort StudiesErbB ReceptorsFemaleGene Expression Regulation, NeoplasticHepatocyte Growth FactorHumansImmunoenzyme TechniquesKi-67 AntigenLymph NodesLymphatic MetastasisNeoplasm StagingPrognosisProto-Oncogene Proteins c-metReceptor, ErbB-2Receptors, EstrogenReceptors, Fibroblast Growth FactorReceptors, ProgesteroneSurvival RateConceptsLymph node negative breast carcinomaEpidermal growth factor receptorNode-negative breast carcinomaNegative breast carcinomaHER-2Breast carcinomaSet of patientsReceptor tyrosine kinasesGrowth factor receptorReceptor statusTumor sizeWorse outcomesEpidermal growth factor family receptorsProgesterone receptor expression levelsTissue microarray-based studyFamily receptorsHormone receptor statusFactor receptorGroup of patientsIndependent predictive valueExpression levelsReceptor expression levelsUnique staining patternStudy cohortTissue microarray technology
2000
Validation of Tissue Microarray Technology in Breast Carcinoma
Camp R, Charette L, Rimm D. Validation of Tissue Microarray Technology in Breast Carcinoma. Laboratory Investigation 2000, 80: 1943-1949. PMID: 11140706, DOI: 10.1038/labinvest.3780204.Peer-Reviewed Original ResearchConceptsWhole tissue sectionsInvasive breast carcinomaBreast carcinomaTissue microarray technologyLarge-scale retrospective cohort studyTissue sectionsArchival tissueRetrospective cohort studyHER2/neu oncogeneTissue microarray techniqueCohort studyBreast cancer microarrayProgesterone receptorArchival cohortEstrogen receptorAmount of tissueCommon antigenNeu oncogeneEntire tumorCarcinomaProtein expressionProtein expression patternsArchival formalinTissueReceptors