2021
Reliability of histopathologic diagnosis of fibrotic interstitial lung disease: an international collaborative standardization project
Camp R, Smith ML, Larsen BT, Roden AC, Farver C, Moreira AL, Attanoos R, Pillappa R, Sansano I, Fabro AT, Homer RJ. Reliability of histopathologic diagnosis of fibrotic interstitial lung disease: an international collaborative standardization project. BMC Pulmonary Medicine 2021, 21: 184. PMID: 34074264, PMCID: PMC8170950, DOI: 10.1186/s12890-021-01522-6.Peer-Reviewed Original ResearchMeSH KeywordsHumansIdiopathic Pulmonary FibrosisInternationalityLung Diseases, InterstitialObserver VariationReference StandardsReproducibility of ResultsConceptsFibrotic ILDInterobserver variationHistopathologic diagnosisUsual interstitial pneumonia/idiopathic pulmonary fibrosisFibrotic interstitial lung diseaseCurrent histopathologic criteriaUIP/IPFIdiopathic pulmonary fibrosisInterstitial lung diseaseDiagnosis of ILDExtent of inflammationPattern of fibrosisSignificant interobserver variationSpecific diagnostic featuresILD evaluationPulmonary fibrosisLung diseaseHistopathologic evaluationHistopathologic criteriaDiagnostic guidelinesTissue-based diagnosticsDiagnosisILDFibrosisInternet-based approaches
2012
Quantitative assessment of invasive mena isoforms (Menacalc) as an independent prognostic marker in breast cancer
Agarwal S, Gertler FB, Balsamo M, Condeelis JS, Camp RL, Xue X, Lin J, Rohan TE, Rimm DL. Quantitative assessment of invasive mena isoforms (Menacalc) as an independent prognostic marker in breast cancer. Breast Cancer Research 2012, 14: r124. PMID: 22971274, PMCID: PMC3962029, DOI: 10.1186/bcr3318.Peer-Reviewed Original ResearchConceptsBreast cancer cohortBreast cancerPoor outcomeTumor cellsCancer cohortPoor disease-specific survivalDisease-specific deathDisease-specific survivalBreast cancer patientsIndependent prognostic markerIndependent breast cancer cohortsNon-invasive tumor cellsInvasive tumor cellsReceptor statusNode statusTumor sizeCancer patientsPrognostic markerSignificant associationCohortCancerIsoform expressionPatientsMetastasisOutcomes
2009
Defining Molecular Phenotypes of Human Papillomavirus–Associated Oropharyngeal Squamous Cell Carcinoma
Weinberger PM, Yu Z, Kountourakis P, Sasaki C, Haffty BG, Kowalski D, Merkley MA, Rimm DL, Camp RL, Psyrri A. Defining Molecular Phenotypes of Human Papillomavirus–Associated Oropharyngeal Squamous Cell Carcinoma. Otolaryngology 2009, 141: 382-389. PMID: 19716018, DOI: 10.1016/j.otohns.2009.04.014.Peer-Reviewed Original ResearchConceptsOropharyngeal squamous cell carcinomaSquamous cell carcinomaCell carcinomaHuman Papillomavirus–Associated Oropharyngeal Squamous Cell CarcinomaP16 expressionTertiary care academic medical centerDNA presenceHPV DNA presenceVascular endothelial growth factorCross-sectional studyAcademic medical centerEndothelial growth factorEpidermal growth factor receptorMolecular phenotypesGrowth factor receptorOSCC specimensCervical cancerUnsupervised hierarchical clusteringMedical CenterDifferent molecular phenotypesTumorsGrowth factorExpression patternsFactor receptorProtein expression
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 associationCancerAntigenCD34
2007
Bimodal 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 SpecificityAntibody validation by quantitative analysis of protein expression using expression of Met in breast cancer as a model
Pozner-Moulis S, Cregger M, Camp RL, Rimm DL. Antibody validation by quantitative analysis of protein expression using expression of Met in breast cancer as a model. Laboratory Investigation 2007, 87: 251-260. PMID: 17260003, DOI: 10.1038/labinvest.3700515.Peer-Reviewed Original ResearchConceptsExpression of METPrognostic valueBreast cancerProtein expressionShorter disease-specific survivalDisease-specific survivalInvasive breast cancerHepatocyte growth factor receptorGrowth factor receptorNeck carcinomaAssessment of reproducibilityIntracellular domainTissue microarrayPotential biomarkersCell line controlAntibody validationNuclear MetCancerFactor receptorAntibodiesMetSMet receptorVariable resultsReceptorsCompartmental analysis
2005
Quantitative Determination of Nuclear and Cytoplasmic Epidermal Growth Factor Receptor Expression in Oropharyngeal Squamous Cell Cancer by Using Automated Quantitative Analysis
Psyrri A, Yu Z, Weinberger PM, Sasaki C, Haffty B, Camp R, Rimm D, Burtness BA. Quantitative Determination of Nuclear and Cytoplasmic Epidermal Growth Factor Receptor Expression in Oropharyngeal Squamous Cell Cancer by Using Automated Quantitative Analysis. Clinical Cancer Research 2005, 11: 5856-5862. PMID: 16115926, DOI: 10.1158/1078-0432.ccr-05-0420.Peer-Reviewed Original ResearchConceptsEpidermal growth factor receptorOropharyngeal squamous cell cancerLocal recurrence rateSquamous cell cancerEGFR expression levelsEGFR expressionCell cancerRecurrence rateEGFR levelsHigh tumorInferior disease-free survivalExpression levelsNeck squamous cell carcinomaEpidermal growth factor receptor expressionTumor EGFR levelsGrowth factor receptor expressionProtein expressionDisease-free survivalOropharyngeal cancer casesSquamous cell carcinomaFactor receptor expressionMedian expression levelCy5-conjugated antibodiesEGFR protein expressionNuclear EGFR levelsUsing a Xenograft Model of Human Breast Cancer Metastasis to Find Genes Associated with Clinically Aggressive Disease
Kluger HM, Lev D, Kluger Y, McCarthy MM, Kiriakova G, Camp RL, Rimm DL, Price JE. Using a Xenograft Model of Human Breast Cancer Metastasis to Find Genes Associated with Clinically Aggressive Disease. Cancer Research 2005, 65: 5578-5587. PMID: 15994930, DOI: 10.1158/0008-5472.can-05-0108.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsBreast NeoplasmsCell AdhesionCell Growth ProcessesCell Line, TumorDisease Models, AnimalFemaleGene Expression ProfilingHumansImmunohistochemistryMiceMice, NudeMultivariate AnalysisNeoplasm InvasivenessNeoplasm MetastasisNeoplasm TransplantationOligonucleotide Array Sequence AnalysisPredictive Value of TestsReproducibility of ResultsTissue Array AnalysisTransplantation, HeterologousConceptsBreast cancerXenograft modelHuman breast cancer metastasisLymph node involvementLymph node metastasisChemokine ligand 1Human breast cancer cell linesBreast cancer metastasisLeukocyte protease inhibitorBreast cancer cell linesBreast cancer tissuesHSP-70 expressionHeat shock protein 70Cancer cell linesShock protein 70Identification of genesNode involvementNode metastasisAggressive diseaseClinicopathologic variablesPrimary tumorPrognostic markerNovel therapiesCDNA microarray analysisCancer tissues
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
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