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
2007
Phosphorylation of Akt (Ser473) Predicts Poor Clinical Outcome in Oropharyngeal Squamous Cell Cancer
Yu Z, Weinberger PM, Sasaki C, Egleston BL, Speier WF, Haffty B, Kowalski D, Camp R, Rimm D, Vairaktaris E, Burtness B, Psyrri A. Phosphorylation of Akt (Ser473) Predicts Poor Clinical Outcome in Oropharyngeal Squamous Cell Cancer. Cancer Epidemiology Biomarkers & Prevention 2007, 16: 553-558. PMID: 17372251, DOI: 10.1158/1055-9965.epi-06-0121.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedBiomarkers, TumorCarcinoma, Squamous CellChi-Square DistributionFemaleHumansImmunoenzyme TechniquesMaleMiddle AgedNeoplasm Recurrence, LocalOropharyngeal NeoplasmsPhosphorylationPredictive Value of TestsPrognosisProportional Hazards ModelsProtein Array AnalysisProto-Oncogene Proteins c-aktPTEN PhosphohydrolaseSurvival AnalysisConceptsNuclear p-AktAkt activationP-AktOropharyngeal squamous cell cancerSquamous cell carcinoma progressionPhosphorylated AktCohort of patientsLocal recurrence rateOverall survival rateSquamous cell cancerPoor clinical outcomeAdverse patient outcomesP-AKT levelsPromising molecular targetP-AKT expressionProtein expression levelsPhosphorylation of AktDisease recurrenceLocal recurrenceCell cancerClinical outcomesAdjusted analysisPrognostic significanceRecurrence ratePatient outcomes
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 tissueMolecular 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
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 expressionEffect of Epidermal Growth Factor Receptor Expression Level on Survival in Patients with Epithelial Ovarian Cancer
Psyrri A, Kassar M, Yu Z, Bamias A, Weinberger PM, Markakis S, Kowalski D, Camp RL, Rimm DL, Dimopoulos MA. Effect of Epidermal Growth Factor Receptor Expression Level on Survival in Patients with Epithelial Ovarian Cancer. Clinical Cancer Research 2005, 11: 8637-8643. PMID: 16361548, DOI: 10.1158/1078-0432.ccr-05-1436.Peer-Reviewed Original ResearchMeSH KeywordsCarcinomaErbB ReceptorsFemaleHumansImmunohistochemistryOvarian NeoplasmsPrognosisSurvival AnalysisTissue Array AnalysisConceptsEpidermal growth factor receptorOvarian cancerOverall survivalPrognostic valuePlatinum-paclitaxel combination chemotherapyAdvanced stage ovarian cancerDisease-free survivalSignificant prognostic factorsAdverse prognostic indicatorEpithelial ovarian cancerTumor EGFR expressionEGFR expression statusImportant prognostic informationConflicting resultsEpidermal growth factor receptor expression levelsEGFR protein expressionReceptor expression levelsGrowth factor receptorSurgical debulkingCombination chemotherapyPrognostic factorsMultivariable analysisEntire cohortPoor outcomePrognostic indicatorQuantitative 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 levelsEvaluating the Expression and Prognostic Value of TRAIL-R1 and TRAIL-R2 in Breast Cancer
McCarthy MM, Sznol M, DiVito KA, Camp RL, Rimm DL, Kluger HM. Evaluating the Expression and Prognostic Value of TRAIL-R1 and TRAIL-R2 in Breast Cancer. Clinical Cancer Research 2005, 11: 5188-5194. PMID: 16033835, DOI: 10.1158/1078-0432.ccr-05-0158.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overBreast NeoplasmsCase-Control StudiesFemaleFollow-Up StudiesGene Expression ProfilingHumansMiddle AgedMultivariate AnalysisOligonucleotide Array Sequence AnalysisPrognosisReceptors, TNF-Related Apoptosis-Inducing LigandReceptors, Tumor Necrosis FactorSurvival AnalysisConceptsEarly-stage breast cancerTRAIL-R2 expressionBreast cancerPrognostic valueTRAIL-R2TRAIL-R1Normal breast specimensTumor necrosis factor-related apoptosis-inducing ligand receptor 1Lymph node involvementSubset of patientsBreast cancer patientsIndependent prognostic markerTRAIL-R1 expressionNormal breast epitheliumTRAIL receptor expressionLigand receptor 1Apoptosis-inducing ligand receptor 1Adjuvant treatmentNode involvementNodal statusPathologic variablesTumor sizeCancer patientsClinical trialsPrognostic markerAutomated Quantitative Analysis of E-Cadherin Expression in Lymph Node Metastases Is Predictive of Survival in Invasive Ductal Breast Cancer
Harigopal M, Berger AJ, Camp RL, Rimm DL, Kluger HM. Automated Quantitative Analysis of E-Cadherin Expression in Lymph Node Metastases Is Predictive of Survival in Invasive Ductal Breast Cancer. Clinical Cancer Research 2005, 11: 4083-4089. PMID: 15930343, DOI: 10.1158/1078-0432.ccr-04-2191.Peer-Reviewed Original ResearchConceptsE-cadherin expressionLymph node metastasisNodal metastasisBreast cancerImproved survivalNode metastasisTissue microarrayNode-positive breast cancerInvasive ductal breast cancerHER2/neu statusAnti-invasive roleInvasive ductal tumorsNode-positive patientsDuctal breast cancerSubset of patientsGood prognostic markerAggressive tumor behaviorStrong E-cadherin expressionHigh E-cadherin expressionCy5-conjugated antibodiesDuctal tumorsMetastatic sitesPrognostic valueTumor sizePrimary tumorβ-Catenin Functions Mainly as an Adhesion Molecule in Patients with Squamous Cell Cancer of the Head and Neck
Yu Z, Weinberger PM, Provost E, Haffty BG, Sasaki C, Joe J, Camp RL, Rimm DL, Psyrri A. β-Catenin Functions Mainly as an Adhesion Molecule in Patients with Squamous Cell Cancer of the Head and Neck. Clinical Cancer Research 2005, 11: 2471-2477. PMID: 15814622, DOI: 10.1158/1078-0432.ccr-04-2199.Peer-Reviewed Original ResearchConceptsSquamous cell cancerCyclin D1 levelsCell cancerNeck squamous cell cancerAdhesion moleculesD1 levelsDisease-free survivalIndependent prognostic factorLocal recurrence rateKaplan-Meier analysisMembranous expression patternLow cyclin D1Cancer tissue microarrayIncidence of mutationsProtein expression levelsMean followHazard ratioPrognostic factorsLocal recurrencePathologic dataCox regressionRecurrence rateMetastasis stageTissue microarrayBeta-catenin expressionCyclin D1 Is a Valuable Prognostic Marker in Oropharyngeal Squamous Cell Carcinoma
Yu Z, Weinberger PM, Haffty BG, Sasaki C, Zerillo C, Joe J, Kowalski D, Dziura J, Camp RL, Rimm DL, Psyrri A. Cyclin D1 Is a Valuable Prognostic Marker in Oropharyngeal Squamous Cell Carcinoma. Clinical Cancer Research 2005, 11: 1160-1166. PMID: 15709184, DOI: 10.1158/1078-0432.1160.11.3.Peer-Reviewed Original ResearchConceptsOropharyngeal squamous cell carcinomaDisease-free survivalSquamous cell carcinomaCyclin D1Overall survivalCell carcinomaPrognostic markerOropharyngeal squamous cell cancerProtein expressionLocal recurrence rateMultivariate Cox regressionLong-term followSquamous cell cancerCyclin D1 expression levelsNuclear cyclin D1 expressionTerms of prognosisCell cycle regulator cyclin D1Valuable prognostic markerExpression levelsCyclin D1 expressionProtein expression levelsMean followIndependent predictorsLocal recurrenceCell cancer
2003
Tissue microarray analysis of signal transducers and activators of transcription 3 (Stat3) and phospho-Stat3 (Tyr705) in node-negative breast cancer shows nuclear localization is associated with a better prognosis.
Dolled-Filhart M, Camp RL, Kowalski DP, Smith BL, Rimm DL. Tissue microarray analysis of signal transducers and activators of transcription 3 (Stat3) and phospho-Stat3 (Tyr705) in node-negative breast cancer shows nuclear localization is associated with a better prognosis. Clinical Cancer Research 2003, 9: 594-600. PMID: 12576423.Peer-Reviewed Original ResearchMeSH KeywordsAcute-Phase ProteinsBiomarkersBreast NeoplasmsCell NucleusDNA-Binding ProteinsFemaleHumansImmunohistochemistryLymphatic MetastasisMultivariate AnalysisPhosphorylationPhosphotyrosinePrognosisProportional Hazards ModelsSTAT3 Transcription FactorSurvival AnalysisTime FactorsTrans-ActivatorsConceptsNode-negative breast cancerBreast cancerCytoplasmic expressionNuclear expressionOverall survivalReceptor stainingPrognostic markerPhospho-STAT3Breast cancer tissue microarrayEstrogen receptor stainingProgesterone receptor stainingNode-negative tumorsLarge retrospective studyIndependent prognostic markerBreast cancer specimensTissue microarray analysisCancer tissue microarrayShort-term survivalTranscription 3Breast cancer tumorsHER2 stainingBetter prognosisRetrospective studyRole of STAT3Signal transducer
2002
RET Activation and Clinicopathologic Features in Poorly Differentiated Thyroid Tumors
Santoro M, Papotti M, Chiappetta G, Garcia-Rostan G, Volante M, Johnson C, Camp RL, Pentimalli F, Monaco C, Herrero A, Carcangiu ML, Fusco A, Tallini G. RET Activation and Clinicopathologic Features in Poorly Differentiated Thyroid Tumors. The Journal Of Clinical Endocrinology & Metabolism 2002, 87: 370-379. PMID: 11788678, DOI: 10.1210/jcem.87.1.8174.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overCarcinoma, PapillaryCell DifferentiationDrosophila ProteinsFemaleGene RearrangementHumansImmunohistochemistryLymphatic MetastasisMaleMiddle AgedOncogene Proteins, FusionPrognosisProtein-Tyrosine KinasesProto-Oncogene ProteinsProto-Oncogene Proteins c-retReceptor Protein-Tyrosine KinasesReverse Transcriptase Polymerase Chain ReactionSurvival AnalysisThyroid NeoplasmsConceptsRET/PTC rearrangementsRET/PTCClinicopathologic parametersRET activationInsular growth patternRelevant clinicopathologic parametersClinical characteristicsClinicopathologic featuresDistant metastasisSignificant morbidityDifferentiated tumorsHistologic evidenceMale sexAnaplastic carcinomaPatient outcomesPoor survivalEpithelial neoplasmsPapillary carcinomaLow prevalenceOncocytic featuresThyroid tumorsSurvival analysisThyroid glandMorphologic featuresSame tumor
2000
A high number of tumor free axillary lymph nodes from patients with lymph node negative breast carcinoma is associated with poor outcome
Camp R, Rimm E, Rimm D. A high number of tumor free axillary lymph nodes from patients with lymph node negative breast carcinoma is associated with poor outcome. Cancer 2000, 88: 108-113. PMID: 10618612, DOI: 10.1002/(sici)1097-0142(20000101)88:1<108::aid-cncr15>3.0.co;2-b.Peer-Reviewed Original ResearchConceptsTumor-free lymph nodesLymph node negative breast carcinomaNode-negative breast carcinomaNegative breast carcinomaFree lymph nodesLymph nodesBreast carcinomaPrognostic valueTumor-free axillary lymph nodesTumor-negative lymph nodesDetectable lymph nodesNegative lymph nodesAxillary lymph nodesLymph node hyperplasiaLymph node metastasisReliable prognostic indicatorPresence of necrosisAxillary resectionLymphovascular invasionMetastatic diseasePatient ageIndependent predictorsLymphocytic infiltrateNode metastasisAggressive disease