2013
Vascularity of primary and metastatic renal cell carcinoma specimens
Aziz SA, Sznol J, Adeniran A, Colberg JW, Camp RL, Kluger HM. Vascularity of primary and metastatic renal cell carcinoma specimens. Journal Of Translational Medicine 2013, 11: 15. PMID: 23316728, PMCID: PMC3561185, DOI: 10.1186/1479-5876-11-15.Peer-Reviewed Original ResearchConceptsRenal cell carcinomaMicrovessel areaMetastatic samplesCell carcinomaMetastatic sitesPrimary tumorMetastatic renal cell carcinomaRenal cell carcinoma tumorsClear cell tumorsClear cell carcinomaPredictive biomarker studiesAnti-angiogenic drugsAnti-angiogenic therapyTypes of tumorsHigh response ratePrimary nephrectomyHistologic subtypeCell tumorsDifferent histologyPapillary histologyCD 34Variable histologyClinical studiesClear cellsTumor vascularity
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
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 stainingHuman tissue kallikrein 7, a novel biomarker for advanced ovarian carcinoma using a novel in situ quantitative method of protein expression
Psyrri A, Kountourakis P, Scorilas A, Markakis S, Camp R, Diamandis E, Dimopoulos M, Kowalski D. Human tissue kallikrein 7, a novel biomarker for advanced ovarian carcinoma using a novel in situ quantitative method of protein expression. Annals Of Oncology 2008, 19: 1271-1277. PMID: 18325919, DOI: 10.1093/annonc/mdn035.Peer-Reviewed Original ResearchConceptsOvarian cancerOverall survivalProtein expressionSurvival analysisPlatinum-paclitaxel combination chemotherapyAdvanced stage ovarian cancerAdvanced ovarian carcinomaDisease-free survivalPromising prognostic factorInferior patient outcomesMultivariate survival analysisUnivariate survival analysisImportant prognostic biomarkerSerine protease enzyme familyKallikrein 7Surgical debulkingCombination chemotherapyPrognostic factorsPrognostic valueOvarian carcinomaPatient outcomesPrognostic biomarkerPrognostic variablesNovel biomarkersBetter outcomes
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 tissueEvaluation 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