2022
PD-L1 protein expression in relation to recurrence score values in early-stage ER + breast cancer
Rozenblit M, Blenman K, Harigopal M, Reisenbichler E, Singh K, Qing T, Ibrahim E, Ramkissoon S, Asmelash S, Lin HK, Roberts M, Ross J, Huang RSP, Pusztai L. PD-L1 protein expression in relation to recurrence score values in early-stage ER + breast cancer. Breast Cancer Research And Treatment 2022, 196: 221-227. PMID: 36028784, DOI: 10.1007/s10549-022-06712-2.Peer-Reviewed Original ResearchConceptsPD-L1 positivityPD-L1 protein expressionPD-L1 expressionGrade 3 cancersPD-L1TIL scoreTumor gradeMultivariate analysisHigher PD-L1 positivityTumor-infiltrating lymphocyte countsConclusionPD-L1 expressionProtein expressionPD-L1 immunohistochemistryChi-square testResultsPD-L1T1 cancersLymphocyte countT3 tumorsIndependent predictorsTumor sizeLarge tumorsPositivity rateCell positivityBreast cancerGrade 2
2018
Breast cancer histopathology is predictive of low‐risk Oncotype Dx recurrence score
Wilson PC, Chagpar AB, Cicek AF, Bossuyt V, Buza N, Mougalian S, Killelea BK, Patel N, Harigopal M. Breast cancer histopathology is predictive of low‐risk Oncotype Dx recurrence score. The Breast Journal 2018, 24: 976-980. PMID: 30230117, DOI: 10.1111/tbj.13117.Peer-Reviewed Original ResearchConceptsLymph node-negative patientsNode-negative patientsOncotype DX testingInvasive carcinomaLow-grade invasive carcinomasHistologic subtypeOncotype DXRecurrence scoreEstrogen receptorHigh riskAJCC Breast Cancer Staging SystemBreast cancer staging systemOncotype DX recurrence scoreFavorable histologic subtypeOncotype recurrence scoreSimple multivariable modelsCancer (AJCC) staging systemRisk of recurrenceDX recurrence scoreOnly significant predictorExcellent prognosisIntermediate riskDuctal carcinomaHistologic gradeHistologic predictorsAndrogen 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 receptor
2016
Automated measurement of estrogen receptor in breast cancer: a comparison of fluorescent and chromogenic methods of measurement
Zarrella ER, Coulter M, Welsh AW, Carvajal DE, Schalper KA, Harigopal M, Rimm D, Neumeister V. Automated measurement of estrogen receptor in breast cancer: a comparison of fluorescent and chromogenic methods of measurement. Laboratory Investigation 2016, 96: 1016-1025. PMID: 27348626, PMCID: PMC5008858, DOI: 10.1038/labinvest.2016.73.Peer-Reviewed Original Research
2014
Methylation of Twelve CpGs in Human Papillomavirus Type 16 (HPV16) as an Informative Biomarker for the Triage of Women Positive for HPV16 Infection
Brandsma JL, Harigopal M, Kiviat NB, Sun Y, Deng Y, Zelterman D, Lizardi PM, Shabanova VS, Levi A, Yaping T, Hu X, Feng Q. Methylation of Twelve CpGs in Human Papillomavirus Type 16 (HPV16) as an Informative Biomarker for the Triage of Women Positive for HPV16 Infection. Cancer Prevention Research 2014, 7: 526-533. PMID: 24556390, DOI: 10.1158/1940-6207.capr-13-0354.Peer-Reviewed Original ResearchConceptsCervical intraepithelial neoplasiaCytology samplesCutoff scoreColposcopy of womenCervical cancer preventionManagement of womenDetection of CIN3Cervical cytology samplesHuman papillomavirus type 16Human papillomavirus type 16 DNAMethylation biomarkersPapillomavirus type 16Histologic severityIntraepithelial neoplasiaCervical cancerHPV16 infectionCancer preventionDNA bisulfite sequencingType 16Prognostic potentialAccurate biomarkersProspective biomarkersScreening testInformative biomarkersBiomarkers
2013
Is Ki-67 Expression Prognostic for Local Relapse in Early-Stage Breast Cancer Patients Treated With Breast Conservation Therapy (BCT)?
Hafeez F, Neboori HJ, Harigopal M, Wu H, Haffty BG, Yang Q, Schiff D, Moran MS. Is Ki-67 Expression Prognostic for Local Relapse in Early-Stage Breast Cancer Patients Treated With Breast Conservation Therapy (BCT)? International Journal Of Radiation Oncology • Biology • Physics 2013, 87: 344-348. PMID: 23910708, DOI: 10.1016/j.ijrobp.2013.05.052.Peer-Reviewed Original ResearchConceptsBreast conservation therapyEarly-stage breast cancer patientsHuman epidermal growth factor receptor 2Recurrence-free survivalBreast cancer patientsKi-67 expressionKi-67Clinicopathologic featuresConservation therapyCancer patientsIndependent associationLocoregional recurrence-free survivalDistant metastasis-free survivalLocal relapse-free survivalEpidermal growth factor receptor 2Univariate/multivariate analysisPrognostic clinicopathologic featuresCause-specific survivalHormone receptor statusGrowth factor receptor 2Metastasis-free survivalRelapse-free survivalKi-67 overexpressionSignificant independent associationKi-67 staining
2011
Implementation of FocalPoint GS location‐guided imaging system
Levi AW, Chhieng DC, Schofield K, Kowalski D, Harigopal M. Implementation of FocalPoint GS location‐guided imaging system. Cancer Cytopathology 2011, 120: 126-133. PMID: 22505211, DOI: 10.1002/cncy.20187.Peer-Reviewed Original ResearchConceptsASC-US casesHR-HPV positive rateLow-risk patient populationHigh-risk human papillomavirusASC-US interpretationsRoutine clinical settingPromising screening toolPap testHuman papillomavirusPapanicolaou testPatient populationBacterial vaginosisDrug AdministrationSIL ratioClinical settingScreening toolDiagnostic categoriesLaboratory information systemGynecologic cytologyPrimary screeningSignificant increaseFalse negative fractionPositive rateHigh percentageCurrent studyUse of high‐risk human papillomavirus testing in patients with low‐grade squamous intraepithelial lesions
Levi AW, Harigopal M, Hui P, Schofield K, Chhieng DC. Use of high‐risk human papillomavirus testing in patients with low‐grade squamous intraepithelial lesions. Cancer Cytopathology 2011, 119: 228-234. PMID: 21732551, DOI: 10.1002/cncy.20172.Peer-Reviewed Original ResearchConceptsLow-grade squamous intraepithelial lesionsHR-HPV testingHPV testingCIN 2Colposcopy rateHR-HPVRelative light units/cutoffCervical intraepithelial neoplasia 2High-risk human papillomavirusHR-HPV statusRLU/COIntraepithelial neoplasia 2Hybrid Capture 2Squamous intraepithelial lesionsCIN 1 lesionsLarge teaching hospitalNegative predictive valueLSIL cytologyHPV statusIntraepithelial lesionsCapture 2Human papillomavirusTeaching hospitalCytologic diagnosisSevere lesions
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 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
2004
Prognostic Significance of p16 Protein Levels in Oropharyngeal Squamous Cell Cancer
Weinberger PM, Yu Z, Haffty BG, Kowalski D, Harigopal M, Sasaki C, Rimm DL, Psyrri A. Prognostic Significance of p16 Protein Levels in Oropharyngeal Squamous Cell Cancer. Clinical Cancer Research 2004, 10: 5684-5691. PMID: 15355894, DOI: 10.1158/1078-0432.ccr-04-0448.Peer-Reviewed Original ResearchConceptsSquamous cell cancerOropharyngeal squamous cell carcinomaOropharyngeal squamous cell cancerDisease-free survivalLocal recurrence rateSquamous cell carcinomaCell cancerOverall survivalRecurrence rateCell carcinomaP16 overexpressionNeck squamous cell cancerLow local recurrence rateAdvanced Tumor-NodeMean patient followIndependent prognostic factorHigh histologic gradeP16 expression statusOverexpression of p16Local recurrencePrognostic factorsPrognostic importanceP16 protein expressionPrognostic significanceHistologic grade