2011
Quantitative assessment shows loss of antigenic epitopes as a function of pre-analytic variables
Bai Y, Tolles J, Cheng H, Siddiqui S, Gopinath A, Pectasides E, Camp RL, Rimm DL, Molinaro AM. Quantitative assessment shows loss of antigenic epitopes as a function of pre-analytic variables. Laboratory Investigation 2011, 91: 1253-1261. PMID: 21519325, PMCID: PMC3145004, DOI: 10.1038/labinvest.2011.75.Peer-Reviewed Original ResearchConceptsCore needle biopsyCold ischemic timePre-analytic variablesNeedle biopsyEstrogen receptorIschemic timeTumor resectionTumor resection specimensAntigenic lossResection specimensTissue biomarkersTotal AktBiopsyPhospho-AktQuantitative immunofluorescencePhospho-ERKPhospho-S6K1Antigenic epitopesTotal ERKResectionTotal proteinCytokeratinImmunological methodsAntigenicitySignificant changes
2006
Classification of Breast Cancer Using Genetic Algorithms and Tissue Microarrays
Dolled-Filhart M, Rydén L, Cregger M, Jirström K, Harigopal M, Camp RL, Rimm DL. Classification of Breast Cancer Using Genetic Algorithms and Tissue Microarrays. Clinical Cancer Research 2006, 12: 6459-6468. PMID: 17085660, DOI: 10.1158/1078-0432.ccr-06-1383.Peer-Reviewed Original ResearchConceptsBreast cancerPatient outcomesTissue microarraySubset of patientsBreast cancer patientsTissue microarray platformInternal validation setRoutine pathology laboratoriesCancer patientsEstrogen receptorTissue biomarkersIndependent cohortTumor subtypesPredictive valueAcid-base analysisPathology laboratoryRNA expression studiesCancerTissue sectionsPatientsCohortOutcomesFurther validationObjective quantitative analysisBiomarker discovery
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 natureMelanomaQuantitative 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