2008
Estrogen 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
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 ResearchBimodal Population or Pathologist Artifact?
Rimm DL, Giltnane JM, Moeder C, Harigopal M, Chung GG, Camp RL, Burtness B. Bimodal Population or Pathologist Artifact? Journal Of Clinical Oncology 2007, 25: 2487-2488. PMID: 17557963, DOI: 10.1200/jco.2006.07.7537.Peer-Reviewed Original Research
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 discoveryVascular 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 receptorMolecular 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 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
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