2020
High frequency of p16 and SOX10 coexpression but not androgen receptor expression in triple-negative breast cancers
Yoon EC, Wilson P, Zuo T, Pinto M, Cole K, Harigopal M. High frequency of p16 and SOX10 coexpression but not androgen receptor expression in triple-negative breast cancers. Human Pathology 2020, 102: 13-22. PMID: 32565323, DOI: 10.1016/j.humpath.2020.06.004.Peer-Reviewed Original ResearchConceptsTriple-negative breast cancerNon-TNBC casesFrequency of p16TNBC casesAndrogen receptorBreast cancerTissue microarrayAggressive clinical courseAndrogen receptor expressionInvasive ductal carcinomaHistologic grade 3Basal-like breast cancer subtypeNovel prognostic markerBreast cancer subtypesExpression of p16Clinical courseCytokeratin 5/6Ductal carcinomaPrognostic markerReceptor expressionRoutine biomarkersSignificant statistical differenceClinical dataGrade 3Cancer subtypes
2018
Androgen receptor expression is a favorable prognostic factor in triple-negative breast cancers
Zuo T, Wilson P, Cicek AF, Harigopal M. Androgen receptor expression is a favorable prognostic factor in triple-negative breast cancers. Human Pathology 2018, 80: 239-245. PMID: 29902579, DOI: 10.1016/j.humpath.2018.06.003.Peer-Reviewed Original ResearchConceptsTriple-negative breast cancerDisease-free survivalBasal-like triple-negative breast cancerFavorable prognostic factorAndrogen receptor expressionAR expressionOverall survivalBreast cancerAR positivityPrognostic factorsTumor sizeHistologic gradeReceptor expressionTissue microarrayAR-positive triple-negative breast cancerSubgroups of TNBCAR-negative TNBCLack estrogen receptorBetter overall survivalDose-dependent effectNodal statusWorse prognosisPathologic stagePatient groupProgesterone receptorStrong androgen receptor expression can aid in distinguishing GATA3+ metastases
Boto A, Harigopal M. Strong androgen receptor expression can aid in distinguishing GATA3+ metastases. Human Pathology 2018, 75: 63-70. PMID: 29408697, DOI: 10.1016/j.humpath.2018.01.024.Peer-Reviewed Original ResearchConceptsGATA3-positive tumorsAndrogen receptor expressionBreast originMetastatic settingUrothelial originAR expressionAR stainingAndrogen receptorReceptor expressionBreast cancerUnknown originBreast cancer tissue microarrayMarker of breastStrong AR expressionCancer tissue microarrayMammaglobin expressionUrothelial carcinomaLobular carcinomaProgesterone receptorEstrogen receptorTissue microarrayMammary originCarcinomaGATA3 expressionGATA3
2017
Can Tumor Biology Predict Occult Multifocal Disease in Breast Cancer Patients?
Chagpar AB, Cicek AF, Harigopal M. Can Tumor Biology Predict Occult Multifocal Disease in Breast Cancer Patients? The American Surgeon 2017, 83: 704-708. PMID: 28738939, DOI: 10.1177/000313481708300725.Peer-Reviewed Original ResearchConceptsBreast cancer patientsNegative marginsCancer patientsPrimary tumor markersInvasive tumor sizePrimary tumor tissuesMedian invasive tumor sizeInitial surgeryOccult cancerOccult diseaseProspective trialInitial resectionMultifocal diseasePartial mastectomyDuctal carcinomaTumor sizeCavity shavesStage 0Independent pathologistsTumor markersTissue microarrayFurther diseasePatientsTumor tissueDisease
2011
Standardization of Estrogen Receptor Measurement in Breast Cancer Suggests False-Negative Results Are a Function of Threshold Intensity Rather Than Percentage of Positive Cells
Welsh AW, Moeder CB, Kumar S, Gershkovich P, Alarid ET, Harigopal M, Haffty BG, Rimm DL. Standardization of Estrogen Receptor Measurement in Breast Cancer Suggests False-Negative Results Are a Function of Threshold Intensity Rather Than Percentage of Positive Cells. Journal Of Clinical Oncology 2011, 29: 2978-2984. PMID: 21709197, PMCID: PMC3157961, DOI: 10.1200/jco.2010.32.9706.Peer-Reviewed Original ResearchConceptsER-positive patientsEstrogen receptorQuantitative immunofluorescenceBreast cancerTissue microarrayPositive cellsIndependent retrospective cohortsEstrogen receptor measurementsAssessment of survivalTMA cohortFalse-negative resultsRetrospective cohortER immunoreactivityTest discordancePrognostic outcomesIndependent cohortReceptor measurementsLimitations of immunohistochemistryPatientsDiscrepant casesCohortIHC methodPathologists' judgmentsDiscrepant resultsStandardized assays
2010
Multiplexed Assessment of the Southwest Oncology Group-Directed Intergroup Breast Cancer Trial S9313 by AQUA Shows that Both High and Low Levels of HER2 Are Associated with Poor Outcome
Harigopal M, Barlow WE, Tedeschi G, Porter PL, Yeh IT, Haskell C, Livingston R, Hortobagyi GN, Sledge G, Shapiro C, Ingle JN, Rimm DL, Hayes DF. Multiplexed Assessment of the Southwest Oncology Group-Directed Intergroup Breast Cancer Trial S9313 by AQUA Shows that Both High and Low Levels of HER2 Are Associated with Poor Outcome. American Journal Of Pathology 2010, 176: 1639-1647. PMID: 20150438, PMCID: PMC2843456, DOI: 10.2353/ajpath.2010.090711.Peer-Reviewed Original ResearchConceptsDisease-free survivalEstrogen receptorContinuous variablesSouthwest Oncology GroupAQUA methodAC chemotherapyMenopausal statusNegative patientsOncology GroupNode statusSequential doxorubicinPoor outcomeTumor sizeProgesterone receptorPrognostic informationWorse outcomesTissue biomarkersTissue microarrayBiphasic effectP53 expressionPatientsHER2Low expressersDiagnostic approachMultiplexed assessment
2009
Multiplexed AQUA-based assessment of SWOG 9313 shows prognostic value of continuous ER, PR and HER2 assessment.
Rimm D, Barlow W, Harigopal M, Tedeschi G, Peggy P, Yeh I, Haskell C, Livingston R, Hortobagyi G, Hayes D. Multiplexed AQUA-based assessment of SWOG 9313 shows prognostic value of continuous ER, PR and HER2 assessment. Cancer Research 2009, 69: 704. DOI: 10.1158/0008-5472.sabcs-704.Peer-Reviewed Original ResearchDisease-free survivalEstrogen receptorHER2 expressionWorse disease-free survivalPoor disease-free survivalContinuous variablesLow HER2 expressionPoor prognostic markerBreast cancer casesBreast cancer therapyBi-phasic effectSame slideHazard ratioMenopausal statusNode statusSequential doxorubicinPoor outcomePrognostic valueTumor sizePrognostic informationWorse outcomesPrognostic markerBreast cancerCancer casesTissue microarray
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
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 receptor
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