2014
NY-ESO-1 as a potential immunotherapeutic target in renal cell carcinoma
Giesen E, Jilaveanu LB, Parisi F, Kluger Y, Camp RL, Kluger HM. NY-ESO-1 as a potential immunotherapeutic target in renal cell carcinoma. Oncotarget 2014, 5: 5209-5217. PMID: 24970819, PMCID: PMC4170640, DOI: 10.18632/oncotarget.2101.Peer-Reviewed Original ResearchConceptsNY-ESO-1 expressionNY-ESO-1Renal cell carcinomaCell carcinomaMetastatic sitesRenal tissueCancer-testis antigen NY-ESO-1Antigen NY-ESO-1Adjacent normal renal tissuesClear cell renal cell carcinomaRCC specimensMetastatic RCC specimensPapillary renal cell carcinomaCell renal cell carcinomaPotential immunotherapeutic targetAdoptive cell therapySubset of RCCTumor-specific antigensClear cell carcinomaNovel immune therapiesPrimary RCC specimensBenign renal tissueNormal renal tissueDifferent tumor sitesImmune therapy
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
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
2011
Lymph Node Ratio Should Be Considered for Incorporation into Staging for Breast Cancer
Chagpar AB, Camp RL, Rimm DL. Lymph Node Ratio Should Be Considered for Incorporation into Staging for Breast Cancer. Annals Of Surgical Oncology 2011, 18: 3143. PMID: 21847696, DOI: 10.1245/s10434-011-2012-9.Peer-Reviewed Original ResearchConceptsNode-positive breast cancer patientsDifferent OS ratesOverall survivalBreast cancer patientsOS independentClinicopathologic factorsOS ratesCancer patientsBreast cancer staging systemCurrent American Joint CommitteeLymph node ratioAdditional prognostic informationAmerican Joint CommitteeCancer (AJCC) staging systemTraditional clinicopathologic factorsPN statusIntermediate riskNodal statusStaging systemPrognostic informationBreast cancerHigh riskLower riskJoint CommitteeNode ratioEvaluation 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
2009
C-Raf Is Associated with Disease Progression and Cell Proliferation in a Subset of Melanomas
Jilaveanu LB, Zito CR, Aziz SA, Conrad PJ, Schmitz JC, Sznol M, Camp RL, Rimm DL, Kluger HM. C-Raf Is Associated with Disease Progression and Cell Proliferation in a Subset of Melanomas. Clinical Cancer Research 2009, 15: 5704-5713. PMID: 19737955, PMCID: PMC2763114, DOI: 10.1158/1078-0432.ccr-09-0198.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAgedAged, 80 and overBenzenesulfonatesCell Line, TumorCell ProliferationCell SurvivalCohort StudiesDisease ProgressionFemaleGene SilencingHumansIndolesMaleMelanomaMiddle AgedNevusNiacinamidePhenolsPhenylurea CompoundsProtein Kinase InhibitorsProto-Oncogene Proteins c-rafPyridinesRNA, Small InterferingSensitivity and SpecificitySkin NeoplasmsSorafenibYoung AdultConceptsExtracellular signal-regulated kinaseC-RafC-Raf expressionSubset of melanomasPhospho-c-RafSignal-regulated kinaseCell linesProtein kinase inhibitionMitogen-activated protein kinase inhibitionDecreased viabilityDecreased Bcl-2 expressionProtein kinaseCell signalingBcl-2 inhibitionRaf kinaseB-RafMelanoma cell linesPhospho-MEKSpecific siRNAsSitu protein expressionGW5074Major isoformsKinasePhospho-ERKBcl-2 expression
2008
Prognostic value of kallikrein‐related peptidase 6 protein expression levels in advanced ovarian cancer evaluated by automated quantitative analysis (AQUA)
Kountourakis P, Psyrri A, Scorilas A, Camp R, Markakis S, Kowalski D, Diamandis EP, Dimopoulos MA. Prognostic value of kallikrein‐related peptidase 6 protein expression levels in advanced ovarian cancer evaluated by automated quantitative analysis (AQUA). Cancer Science 2008, 99: 2224-2229. PMID: 18957059, PMCID: PMC11159123, DOI: 10.1111/j.1349-7006.2008.00942.x.Peer-Reviewed Original ResearchConceptsOvarian cancerOverall survivalPrognostic valueKLK6 expressionSurvival analysisPlatinum-paclitaxel combination chemotherapyAdvanced stage ovarian cancerAdvanced ovarian cancerProgression-free survivalProtein expressionStage ovarian cancerInferior patient outcomesUnivariate survival analysisMultivariate survival analysisImportant prognostic biomarkerSerine protease enzyme familyExpression levelsProtein expression levelsSurgical debulkingCombination chemotherapyPatient outcomesPrognostic biomarkerPrognostic variablesSufficient tissueTherapeutic targetAQUA 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 cohortHuman 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 ResearchAntibody 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
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 inhibitorMolecular Classification Identifies a Subset of Human Papillomavirus–Associated Oropharyngeal Cancers With Favorable Prognosis
Weinberger PM, Yu Z, Haffty BG, Kowalski D, Harigopal M, Brandsma J, Sasaki C, Joe J, Camp RL, Rimm DL, Psyrri A. Molecular Classification Identifies a Subset of Human Papillomavirus–Associated Oropharyngeal Cancers With Favorable Prognosis. Journal Of Clinical Oncology 2006, 24: 736-747. PMID: 16401683, DOI: 10.1200/jco.2004.00.3335.Peer-Reviewed Original ResearchConceptsOropharyngeal squamous cell carcinomaHuman papillomavirusFavorable prognosisClass IIILocal recurrencePrognostic valueHuman Papillomavirus–Associated Oropharyngeal CancerHPV DNA presenceHPV16 viral loadDisease-free survivalMultivariable survival analysisSquamous cell carcinomaLong-term patientsThree-class modelReal-time polymerase chain reactionHPV statusLow p53Only patientsOverall survivalOropharyngeal cancerViral loadCell carcinomaPolymerase chain reactionClinical trialsP16 overexpression
2005
Subcellular Localization and Protein Levels of Cyclin-Dependent Kinase Inhibitor p27 Independently Predict for Survival in Epithelial Ovarian Cancer
Psyrri A, Bamias A, Yu Z, Weinberger PM, Kassar M, Markakis S, Kowalski D, Efstathiou E, Camp RL, Rimm DL, Dimopoulos MA. Subcellular Localization and Protein Levels of Cyclin-Dependent Kinase Inhibitor p27 Independently Predict for Survival in Epithelial Ovarian Cancer. Clinical Cancer Research 2005, 11: 8384-8390. PMID: 16322299, DOI: 10.1158/1078-0432.ccr-05-1270.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overBiomarkers, TumorCell DifferentiationCohort StudiesCombined Modality TherapyCyclin-Dependent Kinase Inhibitor p27Cystadenocarcinoma, SerousFemaleHumansMiddle AgedNeoplasm StagingNeoplasms, Glandular and EpithelialOvarian NeoplasmsPrognosisSubcellular FractionsSurvival RateTissue Array AnalysisConceptsNuclear p27 expressionOvarian cancerP27 expression levelsOverall survivalP27 expressionPlatinum-paclitaxel combination chemotherapyAdvanced stage ovarian cancerDisease-free survivalSignificant prognostic factorsStage ovarian cancerEpithelial ovarian cancerValuable prognostic biomarkerExpression levelsP27 protein expressionCyclin-dependent kinase inhibitor p27Mean followSurgical debulkingCombination chemotherapyPrognostic factorsMultivariable analysisPrognostic valueImmunohistochemical assessmentPrognostic biomarkerPrognostic variablesImmunofluorescence-based methodCoexpression of β1,6-N-Acetylglucosaminyltransferase V Glycoprotein Substrates Defines Aggressive Breast Cancers with Poor Outcome
Siddiqui SF, Pawelek J, Handerson T, Lin CY, Dickson RB, Rimm DL, Camp RL. Coexpression of β1,6-N-Acetylglucosaminyltransferase V Glycoprotein Substrates Defines Aggressive Breast Cancers with Poor Outcome. Cancer Epidemiology Biomarkers & Prevention 2005, 14: 2517-2523. PMID: 16284372, DOI: 10.1158/1055-9965.epi-05-0464.Peer-Reviewed Original ResearchConceptsSubstrate proteinsEpidermal growth factor receptorGrowth factor receptorLAMP-1Glycoprotein substratesFactor receptorComplex oligosaccharide side chainsN-cadherin expressionTumor progressionOligosaccharide side chainsBeta1 integrin expressionGnT-VN-cadherinUnsupervised hierarchical clusteringN-acetylglucosaminyltransferaseMatriptaseDistinct clustersProteinProtein expressionTumor metastasisExpressionHigh expressionAggressive breast cancerLow expressionSide chainsQuantitative 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 levelsMicrosatellite instability and gene mutations in transforming growth factor‐beta type II receptor are absent in small bowel carcinoid tumors
Kidd M, Eick G, Shapiro MD, Camp RL, Mane SM, Modlin IM. Microsatellite instability and gene mutations in transforming growth factor‐beta type II receptor are absent in small bowel carcinoid tumors. Cancer 2005, 103: 229-236. PMID: 15599934, DOI: 10.1002/cncr.20750.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedBase Pair MismatchBase SequenceCarcinoid TumorCase-Control StudiesCohort StudiesDNA Mutational AnalysisFemaleGene Expression Regulation, NeoplasticGenomic InstabilityHumansIntestinal NeoplasmsIntestine, SmallMaleMicrosatellite RepeatsMiddle AgedMolecular Sequence DataMutationProbabilityPrognosisProtein Serine-Threonine KinasesReceptor, Transforming Growth Factor-beta Type IIReceptors, Transforming Growth Factor betaReverse Transcriptase Polymerase Chain ReactionSensitivity and SpecificityConceptsSmall bowel carcinoidsSmall bowel carcinoid tumorsCarcinoid tumorsGrowth factor beta type II receptorMicrosatellite instabilityMismatch repair genesType II receptorLiver metastasesNormal mucosaII receptorsBAT-26Carcinoid tumor metastasisVariable expressionMicrosatellite stable phenotypeRepair genes
2004
Automated Quantitative Analysis of Tissue Microarrays Reveals an Association between High Bcl-2 Expression and Improved Outcome in Melanoma
DiVito KA, Berger AJ, Camp RL, Dolled-Filhart M, Rimm DL, Kluger HM. Automated Quantitative Analysis of Tissue Microarrays Reveals an Association between High Bcl-2 Expression and Improved Outcome in Melanoma. Cancer Research 2004, 64: 8773-8777. PMID: 15574790, DOI: 10.1158/0008-5472.can-04-1387.Peer-Reviewed Original ResearchConceptsBcl-2 expressionHigh Bcl-2 expressionTissue microarrayMetastatic specimensResponse rateSmall cohortProgression-free survivalImproved response ratesLarge patient cohortMelanoma patientsClark levelEntire cohortBreslow depthClinical variablesPatient cohortMetastatic melanomaContinuous index scoreBetter outcomesIndex scoreMelanoma specimensCohortMelanomaBcl-2PatientsOutcomesX-TileA New Bio-Informatics Tool for Biomarker Assessment and Outcome-Based Cut-Point Optimization
Camp RL, Dolled-Filhart M, Rimm DL. X-TileA New Bio-Informatics Tool for Biomarker Assessment and Outcome-Based Cut-Point Optimization. Clinical Cancer Research 2004, 10: 7252-7259. PMID: 15534099, DOI: 10.1158/1078-0432.ccr-04-0713.Peer-Reviewed Original Research