2020
Histologic grading of breast carcinoma: a multi-institution study of interobserver variation using virtual microscopy
Ginter PS, Idress R, D’Alfonso T, Fineberg S, Jaffer S, Sattar AK, Chagpar A, Wilson P, Harigopal M. Histologic grading of breast carcinoma: a multi-institution study of interobserver variation using virtual microscopy. Modern Pathology 2020, 34: 701-709. PMID: 33077923, PMCID: PMC7987728, DOI: 10.1038/s41379-020-00698-2.Peer-Reviewed Original Research
2019
Interobserver variability in breast carcinoma grading results in prognostic stage differences
Rabe K, Snir OL, Bossuyt V, Harigopal M, Celli R, Reisenbichler ES. Interobserver variability in breast carcinoma grading results in prognostic stage differences. Human Pathology 2019, 94: 51-57. PMID: 31655171, DOI: 10.1016/j.humpath.2019.09.006.Peer-Reviewed Original ResearchConceptsPathologic prognostic stagePrognostic stageStage II carcinomaInterobserver variabilityIntra-observer variabilityGood intra-observer variabilityStage IABreast pathologistsConsecutive casesTumor gradeBreast carcinomaTumor gradingDiscordant gradesAJCC cancerDiscordant casesCarcinoma gradeInterobserver agreementGrading criteriaPathologistsCarcinomaComplete concordanceGradeOverall gradeGrading results
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 ResearchMeSH KeywordsAdultAgedAged, 80 and overBiomarkers, TumorBreast NeoplasmsFemaleHumansMargins of ExcisionMastectomy, SegmentalMiddle AgedPredictive Value of TestsProspective StudiesConceptsBreast 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
2012
Comparing Two Methods of Detection for Chlamydia trachomatis in Liquid-Based Papanicolaou Tests
Levi AW, Beckman D, Hui P, Schofield K, Harigopal M, Chhieng DC. Comparing Two Methods of Detection for Chlamydia trachomatis in Liquid-Based Papanicolaou Tests. American Journal Of Clinical Pathology 2012, 138: 236-240. PMID: 22904135, DOI: 10.1309/ajcp2b7xqtcnamjp.Peer-Reviewed Original ResearchConceptsHC2 assayBD Viper SystemXTR TechnologyPositive predictive valueDNA assaysLiquid-based Papanicolaou testsNucleic acidsC trachomatisChlamydia trachomatisPredictive valueHybrid Capture 2Reverse transcriptase-polymerase chain reactionChlamydia trachomatis testingTranscriptase-polymerase chain reactionViper SystemComparable specificityCapture 2Papanicolaou testChlamydial infectionCytology samplesMethod of detectionThinPrep specimensTrachomatisAssaysSensitivity rate
2011
Comparison of Affirm VPIII and Papanicolaou Tests in the Detection of Infectious Vaginitis
Levi AW, Harigopal M, Hui P, Schofield K, Chhieng DC. Comparison of Affirm VPIII and Papanicolaou Tests in the Detection of Infectious Vaginitis. American Journal Of Clinical Pathology 2011, 135: 442-447. PMID: 21350100, DOI: 10.1309/ajcp7tbn5vzuglzu.Peer-Reviewed Original ResearchConceptsAffirm VPIIIPap testPapanicolaou testRoutine Pap testRoutine Papanicolaou testCandida speciesSensitive diagnostic testInfectious vaginitisLarge academic institutionPatient populationTrichomonas infectionBacterial vaginosisCandida vaginitisG vaginalisT vaginalisStudy populationHigh incidenceDiagnostic testsMolecular testsPatientsVaginitisVaginalisMorphologic identificationVaginosisCandidiasis
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 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