2014
PAX-8 expression in renal tumours and distant sites: A useful marker of primary and metastatic renal cell carcinoma?
Barr ML, Jilaveanu LB, Camp RL, Adeniran AJ, Kluger HM, Shuch B. PAX-8 expression in renal tumours and distant sites: A useful marker of primary and metastatic renal cell carcinoma? Journal Of Clinical Pathology 2014, 68: 12. PMID: 25315900, PMCID: PMC4429054, DOI: 10.1136/jclinpath-2014-202259.Peer-Reviewed Original ResearchConceptsRenal cell carcinomaPAX-8 expressionMetastatic renal cell carcinomaRenal tumorsMetastatic sitesCell carcinomaClear cell renal cell carcinomaPAX-8 stainingCell renal cell carcinomaPAX-8Distant sitesNormal renal tissueUseful diagnostic markerAdjacent normal kidneyHistological typePrimary tumorDistant tumorsLack of expressionRenal originImmunohistochemical stainsChromophobe tumorsClear cellsRenal tissueNormal kidneyTissue microarray
2012
c-Met is a prognostic marker and potential therapeutic target in clear cell renal cell carcinoma
Gibney GT, Aziz SA, Camp RL, Conrad P, Schwartz BE, Chen CR, Kelly WK, Kluger HM. c-Met is a prognostic marker and potential therapeutic target in clear cell renal cell carcinoma. Annals Of Oncology 2012, 24: 343-349. PMID: 23022995, PMCID: PMC3551486, DOI: 10.1093/annonc/mds463.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overAntineoplastic AgentsBiomarkers, TumorCarcinoma, Renal CellCell Line, TumorCell ProliferationFemaleHepatocyte Growth FactorHumansIndolesKidney NeoplasmsMaleMiddle AgedPiperazinesPrognosisProto-Oncogene Proteins c-metPyrrolidinonesQuinolinesSulfonamidesTissue Array AnalysisConceptsRenal cell carcinomaClear cell renal cell carcinomaC-Met expressionCell renal cell carcinomaHigh c-Met expressionAdjacent normal renal tissuesNormal renal tissueARQ 197Cell carcinomaRenal tissueRCC tumorsTissue microarrayWorse disease-specific survivalC-MetClear cell RCC cell linesC-Met protein expressionCell linesPoor pathologic featuresCell subset analysisDisease-specific survivalPapillary renal cell carcinomaRange of malignanciesC-Met pathwayC-Met inhibitionPotential therapeutic targetCD70 expression patterns in renal cell carcinoma
Jilaveanu LB, Sznol J, Aziz SA, Duchen D, Kluger HM, Camp RL. CD70 expression patterns in renal cell carcinoma. Human Pathology 2012, 43: 1394-1399. PMID: 22401771, PMCID: PMC3374042, DOI: 10.1016/j.humpath.2011.10.014.Peer-Reviewed Original ResearchConceptsRenal cell carcinomaCell carcinomaCD70 expressionPapillary tumorsHigh CD70 expressionExpression of CD70Clear cell tumorsNovel therapeutic agentsRenal cell carcinoma specimensPathologic variablesHistologic subtypePrognostic valueCell subsetsCell tumorsUnivariate analysisClinical trialsImmune escapeSitu protein expressionT lymphocytesClear cellsTissue microarrayCarcinoma specimensCD70Immunohistochemistry-based methodMultivariate analysisPunctate LC3B Expression Is a Common Feature of Solid Tumors and Associated with Proliferation, Metastasis, and Poor Outcome
Lazova R, Camp RL, Klump V, Siddiqui SF, Amaravadi RK, Pawelek JM. Punctate LC3B Expression Is a Common Feature of Solid Tumors and Associated with Proliferation, Metastasis, and Poor Outcome. Clinical Cancer Research 2012, 18: 370-379. PMID: 22080440, PMCID: PMC4825867, DOI: 10.1158/1078-0432.ccr-11-1282.Peer-Reviewed Original ResearchConceptsMelanoma tissue microarrayTissue microarrayBreast cancerLC3B expressionClinical outcomesNuclear gradeKi-67Solid tumorsHigh LC3B expressionHigh nuclear gradeMultitumor tissue microarrayTypes of cancerHigh LC3BCutaneous metastasesPoor outcomeWorse outcomesHistopathologic gradingLC3B stainingTherapeutic vulnerabilitiesTumorsCancerCancer progressionMetastasisMitotic figuresLC3B levels
2009
Growth factor receptor-bound protein-7 (Grb7) as a prognostic marker and therapeutic target in breast cancer
Nadler Y, González AM, Camp RL, Rimm DL, Kluger HM, Kluger Y. Growth factor receptor-bound protein-7 (Grb7) as a prognostic marker and therapeutic target in breast cancer. Annals Of Oncology 2009, 21: 466-473. PMID: 19717535, PMCID: PMC2826097, DOI: 10.1093/annonc/mdp346.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overBiomarkers, TumorBlotting, WesternBreast NeoplasmsCarcinoma, Ductal, BreastCarcinoma, LobularFemaleFluorescent Antibody TechniqueFollow-Up StudiesGRB7 Adaptor ProteinHumansImage Processing, Computer-AssistedMiddle AgedPrognosisReceptor, ErbB-2Survival RateTissue Array AnalysisTumor Cells, CulturedYoung AdultConceptsHER2/neuBreast cancerPrognostic markerHER2/neu-positive breast cancerGRB7 expressionHigh HER2/neuNeu-positive breast cancerHER2/neu overexpressionPrimary breast cancerBreast cancer patientsIndependent prognostic markerNode-positive subsetValuable prognostic markerProtein 7Cy5-conjugated antibodiesMultivariable analysisWorse prognosisEntire cohortCancer patientsNeu overexpressionTissue microarrayTherapeutic targetCancerNeuPatients
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 associationCancerAntigenCD34High levels of vascular endothelial growth factor and its receptors (VEGFR-1, VEGFR-2, neuropilin-1) are associated with worse outcome in breast cancer
Ghosh S, Sullivan CA, Zerkowski MP, Molinaro AM, Rimm DL, Camp RL, Chung GG. High levels of vascular endothelial growth factor and its receptors (VEGFR-1, VEGFR-2, neuropilin-1) are associated with worse outcome in breast cancer. Human Pathology 2008, 39: 1835-1843. PMID: 18715621, PMCID: PMC2632946, DOI: 10.1016/j.humpath.2008.06.004.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overBiomarkers, TumorBreast NeoplasmsCarcinoma, Ductal, BreastCarcinoma, LobularConnecticutFemaleFluorescent Antibody Technique, IndirectHumansImage Processing, Computer-AssistedImmunoenzyme TechniquesKaplan-Meier EstimateMiddle AgedNeuropilin-1Receptors, Vascular Endothelial Growth FactorSurvival RateTissue Array AnalysisVascular Endothelial Growth Factor AVascular Endothelial Growth Factor Receptor-1Vascular Endothelial Growth Factor Receptor-2Young AdultConceptsVascular endothelial growth factorEndothelial growth factorBreast cancerVEGFR-1Growth factorNeuropilin-1VEGFR-2Kaplan-Meier survival analysisBreast cancer tissue microarrayVascular endothelial growth factor receptorPrimary breast cancerStandard prognostic factorsEndothelial growth factor receptorPrimary breast adenocarcinomaCancer tissue microarrayTumor-specific expressionGrowth factor receptorPrognostic factorsPrognostic significancePrognostic valueWorse outcomesLarge cohortTissue microarraySurvival analysisSignificant associationEstrogen 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
Antibody 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 analysisThe X-linked inhibitor of apoptosis protein (XIAP) is up-regulated in metastatic melanoma, and XIAP cleavage by Phenoxodiol is associated with Carboplatin sensitization
Kluger HM, McCarthy MM, Alvero AB, Sznol M, Ariyan S, Camp RL, Rimm DL, Mor G. The X-linked inhibitor of apoptosis protein (XIAP) is up-regulated in metastatic melanoma, and XIAP cleavage by Phenoxodiol is associated with Carboplatin sensitization. Journal Of Translational Medicine 2007, 5: 6. PMID: 17257402, PMCID: PMC1796544, DOI: 10.1186/1479-5876-5-6.Peer-Reviewed Original ResearchConceptsMetastatic melanomaXIAP expressionCell linesCy5-conjugated antibodiesMechanism of actionMelanoma cell linesPrimary lesionOvarian cancerTherapeutic approachesTissue microarrayDisease aggressionCarboplatin sensitivityChemotherapy resistanceMalignant progressionClinical specimensBenign counterpartsCarboplatinMelanomaChemotherapy sensitizationPrimary specimensPhenoxodiolResistant cellsMelanoma cellsHigh expressionMelanoma resistanceQuantitative Analysis of Breast Cancer Tissue Microarrays Shows High Cox-2 Expression Is Associated with Poor Outcome
Zerkowski MP, Camp RL, Burtness BA, Rimm DL, Chung GG. Quantitative Analysis of Breast Cancer Tissue Microarrays Shows High Cox-2 Expression Is Associated with Poor Outcome. Cancer Investigation 2007, 25: 19-26. PMID: 17364553, DOI: 10.1080/07357900601128825.Peer-Reviewed Original ResearchConceptsCOX-2 expressionCOX-2Tissue microarrayBreast cancerEstrogen receptorPrognostic factorsWorse survivalProgesterone receptorX-tileOptimal cutpointHigh COX-2 expressionBreast cancer tissue microarrayX-tile analysisSignificant prognostic factorsPrimary breast cancerCOX-2 inhibitorsCancer tissue microarrayHER2/neuClinicopathologic factorsNodal statusPoor outcomePoor prognosisTumor sizePredictive biomarkersClinical trialsCTGF, intestinal stellate cells and carcinoid fibrogenesis.
Kidd M, Modlin I, Shapiro M, Camp R, Mane S, Usinger W, Murren J. CTGF, intestinal stellate cells and carcinoid fibrogenesis. World Journal Of Gastroenterology 2007, 13: 5208-16. PMID: 17876891, PMCID: PMC4171302, DOI: 10.3748/wjg.v13.i39.5208.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedCarcinoid TumorCase-Control StudiesCells, CulturedConnective Tissue Growth FactorExtracellular MatrixFemaleFibrosisGastrointestinal NeoplasmsHumansImmediate-Early ProteinsIntercellular Signaling Peptides and ProteinsIntestine, SmallMaleMiddle AgedRNA, MessengerTissue Array AnalysisTransforming Growth Factor beta1ConceptsCarcinoid tumor patientsStellate cellsCarcinoid tumorsTumor patientsTissue microarrayGI carcinoid tumorsDevelopment of agentsGI carcinoidsPlasma CTGFSerum CTGFSystemic complicationsFibrotic mediatorsGastric carcinoidsHistological fibrosisPeritoneal fibrosisNormal mucosaTumor fibrosisFibrotic responseFibrosisFibrotic tissueRT-PCR analysisCTGFTGFbeta1Q-RT-PCR analysisSandwich ELISA
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 discoveryAutomated 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 tissueQuantitative In situ Analysis of β-Catenin Expression in Breast Cancer Shows Decreased Expression Is Associated with Poor Outcome
Dolled-Filhart M, McCabe A, Giltnane J, Cregger M, Camp RL, Rimm DL. Quantitative In situ Analysis of β-Catenin Expression in Breast Cancer Shows Decreased Expression Is Associated with Poor Outcome. Cancer Research 2006, 66: 5487-5494. PMID: 16707478, DOI: 10.1158/0008-5472.can-06-0100.Peer-Reviewed Original ResearchConceptsProgesterone receptorEstrogen receptorPrognostic valueBreast cancerKi-67X-tile softwareProportional hazards modelBreast cancer prognosisBreast cancer showBreast cancer tumorsΒ-catenin expressionYale Pathology archivesHazard ratioNode statusPoor outcomeTumor sizePrognostic markerWorse outcomesImmunohistochemical studyNuclear gradeCase cohortLow-level expressionPathology archivesTissue microarrayBeta-catenin expressionVascular endothelial growth factor, FLT‐1, and FLK‐1 analysis in a pancreatic cancer tissue microarray
Chung GG, Yoon HH, Zerkowski MP, Ghosh S, Thomas L, Harigopal M, Charette LA, Salem RR, Camp RL, Rimm DL, Burtness BA. Vascular endothelial growth factor, FLT‐1, and FLK‐1 analysis in a pancreatic cancer tissue microarray. Cancer 2006, 106: 1677-1684. PMID: 16532435, DOI: 10.1002/cncr.21783.Peer-Reviewed Original ResearchConceptsPancreatic cancer tissue microarrayCancer tissue microarrayTissue microarrayVEGF receptor 1Flt-1Receptor 1Kaplan-Meier survival curvesVascular endothelial growth factor (VEGF) expressionIndependent prognostic factorVascular endothelial growth factorFlk-1Growth factor expressionEndothelial growth factorPrimary antibodyFlt-1 expressionOverall survivalPrognostic factorsWorse survivalAggressive diseaseDisease stagePoor prognosisTumor expressionPancreatic cancerPancreatic adenocarcinomaPrincipal receptorQ RT-PCR Detection of Chromogranin A
Kidd M, Modlin IM, Mane SM, Camp RL, Shapiro MD. Q RT-PCR Detection of Chromogranin A. Annals Of Surgery 2006, 243: 273-280. PMID: 16432362, PMCID: PMC1448909, DOI: 10.1097/01.sla.0000197734.28551.0f.Peer-Reviewed Original ResearchConceptsGI carcinoidsGI adenocarcinomasQ-RT-PCRNormal mucosaLymph node metastasisNormal lymph nodesCgA gene expressionCgA protein levelsProtein expression levelsAppendiceal tumorsNormal LNsLiver metastasesLN metastasisLymph nodesNode metastasisAppendiceal carcinoidsNonmetastatic lesionsEpithelial tumorsCgA levelsTissue microarrayTherapeutic strategiesCarcinoidsNE cellsImmunohistochemical measurementsRT-PCR detectionThe Role of Genetic Markers— NAP1L1, MAGE-D2, and MTA1—in Defining Small-Intestinal Carcinoid Neoplasia
Kidd M, Modlin IM, Mane SM, Camp RL, Eick G, Latich I. The Role of Genetic Markers— NAP1L1, MAGE-D2, and MTA1—in Defining Small-Intestinal Carcinoid Neoplasia. Annals Of Surgical Oncology 2006, 13: 253-262. PMID: 16424981, DOI: 10.1245/aso.2006.12.011.Peer-Reviewed Original ResearchMeSH KeywordsAdaptor Proteins, Signal TransducingAdultAgedAntigens, NeoplasmBiomarkers, TumorCarcinoid TumorCell Cycle ProteinsFemaleGenetic MarkersHistone DeacetylasesHumansIntestinal NeoplasmsIntestine, SmallMaleMiddle AgedNuclear ProteinsNucleosome Assembly Protein 1Repressor ProteinsReverse Transcriptase Polymerase Chain ReactionTissue Array AnalysisTrans-ActivatorsConceptsSmall intestinal carcinoidsQuantitative reverse transcriptase-polymerase chain reactionColorectal carcinomaMAGE-D2Primary tumorLymph node metastasisImmunohistochemical expression levelsReverse transcriptase-polymerase chain reactionNonmetastatic primary tumorsTranscriptase-polymerase chain reactionHealthy tissueGastrointestinal carcinoidsLN metastasisNode metastasisIntestinal carcinoidsPrognostic utilityHealthy mucosaMalignant potentialProstate carcinomaTissue microarrayImmunohistochemical methodsCarcinomaImmunohistochemical approachMetastasisCarcinoids
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