2008
High 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
Analysis of p53 protein expression levels on ovarian cancer tissue microarray using automated quantitative analysis elucidates prognostic patient subsets
Psyrri A, Kountourakis P, Yu Z, Papadimitriou C, Markakis S, Camp R, Economopoulos T, Dimopoulos M. Analysis of p53 protein expression levels on ovarian cancer tissue microarray using automated quantitative analysis elucidates prognostic patient subsets. Annals Of Oncology 2007, 18: 709-715. PMID: 17220511, DOI: 10.1093/annonc/mdl479.Peer-Reviewed Original ResearchConceptsDisease-free survivalOverall survivalP53 protein levelsP53 expression levelsPrognostic valueOvarian cancerBetter outcomesProtein levelsAdvanced stage ovarian cancerExpression levelsP53 protein expression levelsOvarian cancer tissue microarrayStage ovarian cancerOvarian cancer prognosisP53 levelsCancer tissue microarrayValuable prognostic markerP53 protein expressionSignificant predictor variablesProtein expression levelsObstetrics stageFIGO stagePatient subsetsMultivariable analysisPrognostic markerQuantitative 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 trials
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 tissueVascular 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 receptor
2005
β-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 expression
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