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 targetQuantitative 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 expressionPatientsMetastasisOutcomesCD70 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 analysis
2011
Evaluation of prognostic and predictive value of microtubule associated protein tau in two independent cohorts
Baquero MT, Lostritto K, Gustavson MD, Bassi KA, Appia F, Camp RL, Molinaro AM, Harris LN, Rimm DL. Evaluation of prognostic and predictive value of microtubule associated protein tau in two independent cohorts. Breast Cancer Research 2011, 13: r85. PMID: 21888627, PMCID: PMC3262195, DOI: 10.1186/bcr2937.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overAntineoplastic Combined Chemotherapy ProtocolsBiomarkers, TumorBreast NeoplasmsCohort StudiesCyclophosphamideCytoplasmDocetaxelDoxorubicinEpithelial CellsFemaleFluorouracilHumansKaplan-Meier EstimateMiddle AgedPredictive Value of TestsPrognosisRandomized Controlled Trials as TopicRetrospective StudiesSurvival RateTau ProteinsTaxoidsConceptsOverall survivalBreast cancer cohortTreatment armsPredictive markerCancer cohortPredictive valueResponse rateConventional whole tissue sectionsMAP-tauImproved overall survivalHigh expressionMicrotubule associated protein tauTaxane-based chemotherapyKaplan-Meier analysisLonger median timeUseful predictive markerCox univariate analysisIndependent breast cancer cohortsWhole tissue sectionsFAC chemotherapyLonger TTPMedian timeMeier analysisPrognostic valueClinicopathologic variables
2010
Benefits of biomarker selection and clinico-pathological covariate inclusion in breast cancer prognostic models
Parisi F, González A, Nadler Y, Camp RL, Rimm DL, Kluger HM, Kluger Y. Benefits of biomarker selection and clinico-pathological covariate inclusion in breast cancer prognostic models. Breast Cancer Research 2010, 12: r66. PMID: 20809974, PMCID: PMC3096952, DOI: 10.1186/bcr2633.Peer-Reviewed Original ResearchMeSH KeywordsBiomarkers, TumorBreast NeoplasmsFemaleGene ExpressionHumansPrognosisProportional Hazards ModelsROC CurveConceptsNottingham Prognostic IndexClinico-pathological variablesPrognostic indexCox modelPrognostic modelMultivariate Cox regression modelEarly-stage breast cancerBreast cancer patient cohortsAdjuvant chemotherapy decisionsMultivariate Cox modelStage breast cancerCox regression modelCancer patient cohortsTime-dependent areaBreast cancer prognostic modelsCancer prognostic modelsNPI groupOncotype DXPatient cohortChemotherapy decisionsPrognostic markerBackward selection procedureBreast cancerQuantitative immunofluorescence methodImmunofluorescence method
2009
Melanoma Prognostic Model Using Tissue Microarrays and Genetic Algorithms
Rothberg BE, Berger AJ, Molinaro AM, Subtil A, Krauthammer MO, Camp RL, Bradley WR, Ariyan S, Kluger HM, Rimm DL. Melanoma Prognostic Model Using Tissue Microarrays and Genetic Algorithms. Journal Of Clinical Oncology 2009, 27: 5772-5780. PMID: 19884546, PMCID: PMC2792999, DOI: 10.1200/jco.2009.22.8239.Peer-Reviewed Original ResearchConceptsHigh-risk groupDefining 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 expressionGrowth 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 targetCancerNeuPatientsQuantitative multiplexed analysis of ErbB family coexpression for primary breast cancer prognosis in a large retrospective cohort
Giltnane JM, Moeder CB, Camp RL, Rimm DL. Quantitative multiplexed analysis of ErbB family coexpression for primary breast cancer prognosis in a large retrospective cohort. Cancer 2009, 115: 2400-2409. PMID: 19330842, PMCID: PMC2756449, DOI: 10.1002/cncr.24277.Peer-Reviewed Original ResearchExpression and prognostic significance of kallikrein-related peptidase 8 protein levels in advanced ovarian cancer by using automated quantitative analysis
Kountourakis P, Psyrri A, Scorilas A, Markakis S, Kowalski D, Camp RL, Diamandis EP, Dimopoulos MA. Expression and prognostic significance of kallikrein-related peptidase 8 protein levels in advanced ovarian cancer by using automated quantitative analysis. Thrombosis And Haemostasis 2009, 101: 541-546. PMID: 19277417, DOI: 10.1160/th08-01-0052.Peer-Reviewed Original ResearchConceptsProgression-free survivalOvarian cancerPrognostic significanceSurvival analysisFive-year overall survivalPlatinum-paclitaxel combination chemotherapyYear progression-free survivalAdvanced stage ovarian cancerAdvanced ovarian cancerStage ovarian cancerMultivariate survival analysisUnivariate survival analysisImportant prognostic biomarkerSerine protease enzyme familyExpression levelsSignificant correlationWarrants further investigationProtein expression levelsKLK8 expressionClinical responseOverall survivalSurgical debulkingCombination chemotherapyPrognostic valueResidual disease
2008
AQUA analysis of thymidylate synthase reveals localization to be a key prognostic biomarker in 2 large cohorts of colorectal carcinoma.
Gustavson MD, Molinaro AM, Tedeschi G, Camp RL, Rimm DL. AQUA analysis of thymidylate synthase reveals localization to be a key prognostic biomarker in 2 large cohorts of colorectal carcinoma. Archives Of Pathology & Laboratory Medicine 2008, 132: 1746-52. PMID: 18976010, DOI: 10.5858/132.11.1746.Peer-Reviewed Original ResearchConceptsThymidylate synthase expressionSynthase expressionColorectal carcinomaSignificant associationDisease-specific survivalColon cancer outcomesColon cancer survivalKey prognostic biomarkersRetrospective cohortNodal statusPrognostic valueColorectal cancerCancer outcomesCancer survivalPathologic classificationPrognostic biomarkerLarge cohortSecond cohortAQUA scoreCytoplasmic expressionNuclear expressionCohortHigh nuclearCytoplasmic ratioFirst cohortA 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 ResearchHigh 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 associationExpression of Aurora A (but Not Aurora B) Is Predictive of Survival in Breast Cancer
Nadler Y, Camp RL, Schwartz C, Rimm DL, Kluger HM, Kluger Y. Expression of Aurora A (but Not Aurora B) Is Predictive of Survival in Breast Cancer. Clinical Cancer Research 2008, 14: 4455-4462. PMID: 18628459, PMCID: PMC5849429, DOI: 10.1158/1078-0432.ccr-07-5268.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overAurora Kinase BAurora KinasesBiomarkers, TumorBlotting, WesternBreast NeoplasmsCell Line, TumorFemaleHistory, 17th CenturyHumansImage Processing, Computer-AssistedImmunohistochemistryKaplan-Meier EstimatePrognosisProtein Serine-Threonine KinasesTissue Array AnalysisConceptsBreast cancerB expressionAurora B expressionBreast tumorsHigh AuroraEarly-stage breast cancerHER-2/neuProgesterone receptor expressionSubset of patientsPopulation of patientsIndependent prognostic markerHigh nuclear gradePrimary breast tumorsCy5-conjugated antibodiesPathologic variablesPrognostic roleMultivariable analysisProspective studyNuclear gradePrognostic markerReceptor expressionClinical developmentPatientsPredictive roleCancerEstrogen 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 stainingExpression patterns and prognostic value of Bag-1 and Bcl-2 in breast cancer
Nadler Y, Camp RL, Giltnane JM, Moeder C, Rimm DL, Kluger HM, Kluger Y. Expression patterns and prognostic value of Bag-1 and Bcl-2 in breast cancer. Breast Cancer Research 2008, 10: r35. PMID: 18430249, PMCID: PMC2397537, DOI: 10.1186/bcr1998.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAntineoplastic AgentsBiomarkers, TumorBreast NeoplasmsDNA-Binding ProteinsDrug Resistance, NeoplasmFemaleFluorescent Antibody TechniqueFollow-Up StudiesGene Expression Regulation, NeoplasticHumansImmunohistochemistryKaplan-Meier EstimateLymphatic MetastasisMiddle AgedPredictive Value of TestsPrognosisProportional Hazards ModelsProtein Array AnalysisProto-Oncogene Proteins c-bcl-2Receptors, EstrogenReceptors, ProgesteroneTranscription FactorsTreatment OutcomeConceptsNode-positive subsetHER2/neuProgesterone receptorBreast cancerEstrogen receptorBcl-2 expressionBAG-1 expressionImproved survivalBcl-2Anti-apoptotic mediator Bcl-2Breast tumorsSteroid receptor positivitySubset of patientsBAG-1Antihormonal therapyFavorable prognosisReceptor positivityMultivariable analysisPathological variablesEntire cohortPrognostic valuePrognostic markerImproved outcomesLarge cohortClinical developmentHuman 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 Justification of the Change From 10% to 30% for Human Epidermal Growth Factor Receptor 2 Scoring in the American Society of Clinical Oncology/College of American Pathologists Guidelines: Tumor Heterogeneity in Breast Cancer and Its Implications for Tissue Microarray–Based Assessment of Outcome
Moeder CB, Giltnane JM, Harigopal M, Molinaro A, Robinson A, Gelmon K, Huntsman D, Camp RL, Rimm DL. Quantitative Justification of the Change From 10% to 30% for Human Epidermal Growth Factor Receptor 2 Scoring in the American Society of Clinical Oncology/College of American Pathologists Guidelines: Tumor Heterogeneity in Breast Cancer and Its Implications for Tissue Microarray–Based Assessment of Outcome. Journal Of Clinical Oncology 2007, 25: 5418-5425. PMID: 18048824, DOI: 10.1200/jco.2007.12.8033.Peer-Reviewed Original ResearchHSP90 as a marker of progression in melanoma
McCarthy MM, Pick E, Kluger Y, Gould-Rothberg BE, Lazova R, Camp RL, Rimm DL, Kluger HM. HSP90 as a marker of progression in melanoma. Annals Of Oncology 2007, 19: 590-594. PMID: 18037622, DOI: 10.1093/annonc/mdm545.Peer-Reviewed Original Research