2014
Markers of Epithelial to Mesenchymal Transition in Association with Survival in Head and Neck Squamous Cell Carcinoma (HNSCC)
Pectasides E, Rampias T, Sasaki C, Perisanidis C, Kouloulias V, Burtness B, Zaramboukas T, Rimm D, Fountzilas G, Psyrri A. Markers of Epithelial to Mesenchymal Transition in Association with Survival in Head and Neck Squamous Cell Carcinoma (HNSCC). PLOS ONE 2014, 9: e94273. PMID: 24722213, PMCID: PMC3983114, DOI: 10.1371/journal.pone.0094273.Peer-Reviewed Original ResearchMeSH KeywordsAutomationBiomarkers, TumorCarcinoma, Squamous CellCohort StudiesEpithelial-Mesenchymal TransitionFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHead and Neck NeoplasmsHumansImage Processing, Computer-AssistedImmunohistochemistryKaplan-Meier EstimateMaleMultivariate AnalysisNeoplasm MetastasisPhenotypePrognosisProportional Hazards ModelsSquamous Cell Carcinoma of Head and NeckTreatment OutcomeConceptsProgression-free survivalSquamous cell carcinomaOverall survivalCell carcinomaE-cadherinPrimary squamous cell carcinomaNeck squamous cell carcinomaHigh-risk HNSCCKaplan-Meier analysisNovel therapeutic approachesMesenchymal transition phenotypeHigh metastatic potentialLow E-cadherinImproved OSInferior OSIndependent predictorsPoor prognosisCarcinoma prognosisClinicopathological parametersInclusion criteriaTherapeutic approachesTransition phenotypeMetastatic potentialMesenchymal transitionProtein expression analysis
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 ResearchNuclear Localization of Signal Transducer and Activator of Transcription 3 in Head and Neck Squamous Cell Carcinoma Is Associated with a Better Prognosis
Pectasides E, Egloff AM, Sasaki C, Kountourakis P, Burtness B, Fountzilas G, Dafni U, Zaramboukas T, Rampias T, Rimm D, Grandis J, Psyrri A. Nuclear Localization of Signal Transducer and Activator of Transcription 3 in Head and Neck Squamous Cell Carcinoma Is Associated with a Better Prognosis. Clinical Cancer Research 2010, 16: 2427-2434. PMID: 20371693, PMCID: PMC3030188, DOI: 10.1158/1078-0432.ccr-09-2658.Peer-Reviewed Original ResearchConceptsLonger progression-free survivalNeck squamous cell cancerNeck squamous cell carcinomaProgression-free survivalSquamous cell cancerSquamous cell carcinomaPittsburgh Medical CenterTranscription 3Early Detection Research NetworkCurative intentPrognostic roleSurgical resectionBetter prognosisSignal transducerCell cancerCell carcinomaFavorable outcomeSurvival prognosisClinicopathologic parametersMedical CenterIndependent cohortLower riskTest cohortHNSCCSurvival analysisMultiplexed 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
2008
A Decade of Tissue Microarrays: Progress in the Discovery and Validation of Cancer Biomarkers
Camp RL, Neumeister V, Rimm DL. A Decade of Tissue Microarrays: Progress in the Discovery and Validation of Cancer Biomarkers. Journal Of Clinical Oncology 2008, 26: 5630-5637. PMID: 18936473, DOI: 10.1200/jco.2008.17.3567.Peer-Reviewed Original ResearchMicrovessel area using automated image analysis is reproducible and is associated with prognosis in breast cancer
Sullivan CA, Ghosh S, Ocal IT, Camp RL, Rimm DL, Chung GG. Microvessel area using automated image analysis is reproducible and is associated with prognosis in breast cancer. Human Pathology 2008, 40: 156-165. PMID: 18799189, DOI: 10.1016/j.humpath.2008.07.005.Peer-Reviewed Original ResearchConceptsVIII-related antigenMicrovessel densityMicrovessel areaBreast cancerFactor VIII-related antigenPrimary breast cancerEstrogen receptor negativityReceptor negativityNode positivityClinical outcomesEvaluable casesPrognostic parametersAngiogenic biomarkersLarge tumorsYear survivalQuantitative image analysis systemTissue microarrayTumorsCD31Multivariate levelVessel compartmentPoor associationCancerAntigenCD34Estrogen 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
2007
Quantitative 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
2006
Automated quantitative analysis of DCC tumor suppressor protein in ovarian cancer tissue microarray shows association with β-catenin levels and outcome in patients with epithelial ovarian cancer
Bamias A, Yu Z, Weinberger P, Markakis S, Kowalski D, Camp R, Rimm D, Dimopoulos M, Psyrri A. Automated quantitative analysis of DCC tumor suppressor protein in ovarian cancer tissue microarray shows association with β-catenin levels and outcome in patients with epithelial ovarian cancer. Annals Of Oncology 2006, 17: 1797-1802. PMID: 16971669, DOI: 10.1093/annonc/mdl310.Peer-Reviewed Original ResearchConceptsEpithelial ovarian cancerOvarian cancerPatient outcomesDCC expressionPlatinum-paclitaxel combination chemotherapyProgression-free survival ratesAdvanced stage ovarian cancerOvarian cancer tissue microarrayAssociation of DCCCancer tissue microarrayPoor patient outcomesBeta-catenin levelsDCC tumor suppressor geneColorectal cancer (DCC) proteinMedian followSurgical debulkingCombination chemotherapyPrognostic significanceEntire cohortPreclinical dataClinicopathological parametersAntitumor functionΒ-catenin levelsTissue microarraySufficient tissueAQUA and FISH analysis of HER‐2/neu expression and amplification in a small cell lung carcinoma tissue microarray
Giltnane JM, Murren JR, Rimm DL, King BL. AQUA and FISH analysis of HER‐2/neu expression and amplification in a small cell lung carcinoma tissue microarray. Histopathology 2006, 49: 161-169. PMID: 16879393, DOI: 10.1111/j.1365-2559.2006.02479.x.Peer-Reviewed Original ResearchConceptsNeu gene amplificationProtein expression levelsProtein expressionPoor prognosisNeu expressionTissue microarraySmall cell lung carcinoma patientsAQUA scoreHER-2/neu expressionGene amplificationCell lung carcinoma patientsTumor cellsSCLC tumor cellsSCLC tumor progressionHER-2/neu protein expressionMetastatic breast cancerTime of diagnosisLimited treatment optionsLung carcinoma patientsBreast cancer casesHER-2/neu geneNeu protein expressionExpression levelsGene copy numberMetastatic diseaseEvaluation of the Prognostic Value of Cellular Inhibitor of Apoptosis Protein in Epithelial Ovarian Cancer Using Automated Quantitative Protein Analysis
Psyrri A, Yu Z, Bamias A, Weinberger PM, Markakis S, Kowalski D, Camp RL, Rimm DL, Dimopoulos MA. Evaluation of the Prognostic Value of Cellular Inhibitor of Apoptosis Protein in Epithelial Ovarian Cancer Using Automated Quantitative Protein Analysis. Cancer Epidemiology Biomarkers & Prevention 2006, 15: 1179-1183. PMID: 16775178, DOI: 10.1158/1055-9965.epi-06-0120.Peer-Reviewed Original ResearchConceptsEpithelial ovarian cancerOvarian cancerPrognostic valuePaclitaxel-based combination chemotherapyOnly significant prognostic factorAdvanced stage ovarian cancerSignificant prognostic factorsOvarian cancer patientsProtein levelsImportant prognostic biomarkerMean followSurgical debulkingCombination chemotherapyOverall survivalPrognostic factorsClinical outcomesMultivariable analysisEntire cohortCancer patientsPrognostic biomarkerPrognostic variablesMembranous expressionApoptosis proteinSurvival rateCellular inhibitor