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
2009
Predicting neuroendocrine tumor (carcinoid) neoplasia using gene expression profiling and supervised machine learning
Drozdov I, Kidd M, Nadler B, Camp RL, Mane SM, Hauso O, Gustafsson BI, Modlin IM. Predicting neuroendocrine tumor (carcinoid) neoplasia using gene expression profiling and supervised machine learning. Cancer 2009, 115: 1638-1650. PMID: 19197975, PMCID: PMC2743551, DOI: 10.1002/cncr.24180.Peer-Reviewed Original Research
2008
Expression 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 development
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 discovery
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 expressionUsing 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 tissuesAutomated 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 tumorβ1,6-Branched Oligosaccharides Are Increased in Lymph Node Metastases and Predict Poor Outcome in Breast Carcinoma
Handerson T, Camp R, Harigopal M, Rimm D, Pawelek J. β1,6-Branched Oligosaccharides Are Increased in Lymph Node Metastases and Predict Poor Outcome in Breast Carcinoma. Clinical Cancer Research 2005, 11: 2969-2973. PMID: 15837749, DOI: 10.1158/1078-0432.ccr-04-2211.Peer-Reviewed Original ResearchConceptsLymph node metastasisPrimary tumorNode metastasisPoor outcomeBreast carcinomaNode-positive primary tumorsPatient-matched primary tumorsNode-negative tumorsBreast carcinoma metastasisPatient ageNodal metastasisTumor sizeRisk factorsNuclear gradeCarcinoma metastasisTissue microarrayBlinded observersMyeloid cellsMetastasisMultivariate analysisTumor progressionTumorsSystemic migrationCancer cellsLectin histochemistry
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