2019
A Multi-Institutional Study to Evaluate Automated Whole Slide Scoring of Immunohistochemistry for Assessment of Programmed Death-Ligand 1 (PD-L1) Expression in Non–Small Cell Lung Cancer
Taylor CR, Jadhav AP, Gholap A, Kamble G, Huang J, Gown A, Doshi I, Rimm DL. A Multi-Institutional Study to Evaluate Automated Whole Slide Scoring of Immunohistochemistry for Assessment of Programmed Death-Ligand 1 (PD-L1) Expression in Non–Small Cell Lung Cancer. Applied Immunohistochemistry & Molecular Morphology 2019, 27: 263-269. PMID: 30640753, DOI: 10.1097/pai.0000000000000737.Peer-Reviewed Original ResearchConceptsNon-small cell lung cancerCell lung cancerImmune cellsTumor cellsLin's concordance correlation coefficientLung cancerProgrammed Death Ligand 1 ExpressionDako Link 48 platformDeath ligand 1 (PD-L1) expressionNon-small cell lung carcinomaPD-L1 expressionPD-L1 immunohistochemistryImmune cell populationsImmune cell expressionCell lung carcinomaCell scoringMulti-institutional studyConcordance correlation coefficientImage analysis scoresPD-L1Cell positivityLung carcinomaPatient managementSlide scoringCell expression
2015
PD-L1 Expression Correlates with Tumor-Infiltrating Lymphocytes and Response to Neoadjuvant Chemotherapy in Breast Cancer
Wimberly H, Brown JR, Schalper K, Haack H, Silver MR, Nixon C, Bossuyt V, Pusztai L, Lannin DR, Rimm DL. PD-L1 Expression Correlates with Tumor-Infiltrating Lymphocytes and Response to Neoadjuvant Chemotherapy in Breast Cancer. Cancer Immunology Research 2015, 3: 326-332. PMID: 25527356, PMCID: PMC4390454, DOI: 10.1158/2326-6066.cir-14-0133.Peer-Reviewed Original ResearchConceptsTumor-infiltrating lymphocytesPD-L1 expressionPathologic complete responseNeoadjuvant chemotherapyPD-L1Breast cancerDeath 1 ligand 1PD-L1 protein expressionYale-New Haven HospitalHigh PD-L1Antitumor immune activitySubset of patientsTriple-negative patientsBreast cancer patientsTriple-negative statusImmune checkpoint proteinsImmune regulatory moleculesNew Haven HospitalSignificant multivariate modelRabbit monoclonal antibodyTILs correlateComplete responseImmune therapyCancer patientsImmune activity
2013
A Retrospective Population-Based Comparison of HER2 Immunohistochemistry and Fluorescence In Situ Hybridization in Breast Carcinomas: Impact of 2007 American Society of Clinical Oncology/ College of American Pathologists Criteria
Schalper KA, Kumar S, Hui P, Rimm DL, Gershkovich P. A Retrospective Population-Based Comparison of HER2 Immunohistochemistry and Fluorescence In Situ Hybridization in Breast Carcinomas: Impact of 2007 American Society of Clinical Oncology/ College of American Pathologists Criteria. Archives Of Pathology & Laboratory Medicine 2013, 138: 213-9. PMID: 24164555, DOI: 10.5858/arpa.2012-0617-oa.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overBreast NeoplasmsCarcinomaCohort StudiesConnecticutFemaleHospitals, UniversityHumansImmunohistochemistryIn Situ Hybridization, FluorescenceMammary Glands, HumanMiddle AgedNeoplasm GradingNeoplasm InvasivenessNeoplasm ProteinsPractice Guidelines as TopicReceptor, ErbB-2Retrospective StudiesSocieties, MedicalUnited StatesUnited States Food and Drug AdministrationMolecular profile of head and neck squamous cell carcinomas bearing p16 high phenotype
Rampias T, Pectasides E, Prasad M, Sasaki C, Gouveris P, Dimou A, Kountourakis P, Perisanidis C, Burtness B, Zaramboukas T, Rimm D, Fountzilas G, Psyrri A. Molecular profile of head and neck squamous cell carcinomas bearing p16 high phenotype. Annals Of Oncology 2013, 24: 2124-2131. PMID: 23406730, DOI: 10.1093/annonc/mdt013.Peer-Reviewed Original ResearchMeSH KeywordsBeta CateninBiomarkers, TumorCarcinoma, Squamous CellCell Line, TumorCyclin-Dependent Kinase Inhibitor p16ErbB ReceptorsFemaleHead and Neck NeoplasmsHumansMaleNeoplasm ProteinsOncogene Proteins, ViralOropharyngeal NeoplasmsPapillomavirus E7 ProteinsPapillomavirus InfectionsPhosphorylationPTEN PhosphohydrolaseRepressor ProteinsRNA InterferenceRNA, Small InterferingSquamous Cell Carcinoma of Head and NeckTumor Suppressor Protein p53Wnt Signaling PathwayConceptsE6/E7Β-cateninHNSCC cellsTissue microarrayE6/E7 repressionEpidermal growth factor receptor (EGFR) pathwayNeck squamous cell cancerE6/E7 genesOropharyngeal cancer cellsNeck squamous cell carcinomaShort hairpin RNAGrowth factor receptor pathwayHPV16 E6/E7Squamous cell cancerSquamous cell carcinomaExpression of biomarkersExpression differencesPTEN upregulationAberrant EGFRE7 repressionHairpin RNAMedian OSOverall survivalPhosphorylated EGFRCell cancer
2012
Quantitative analysis of microRNAs in tissue microarrays by in situ hybridization
Hanna JA, Wimberly H, Kumar S, Slack F, Agarwal S, Rimm DL. Quantitative analysis of microRNAs in tissue microarrays by in situ hybridization. BioTechniques 2012, 52: 235-245. PMID: 22482439, PMCID: PMC3891915, DOI: 10.2144/000113837.Peer-Reviewed Original Research
2011
A Pathway for the Control of Anoikis Sensitivity by E-Cadherin and Epithelial-to-Mesenchymal Transition
Kumar S, Park SH, Cieply B, Schupp J, Killiam E, Zhang F, Rimm DL, Frisch SM. A Pathway for the Control of Anoikis Sensitivity by E-Cadherin and Epithelial-to-Mesenchymal Transition. Molecular And Cellular Biology 2011, 31: 4036-4051. PMID: 21746881, PMCID: PMC3187352, DOI: 10.1128/mcb.01342-10.Peer-Reviewed Original ResearchConceptsRegulation of anoikisE-cadherin complexMesenchymal transitionE-cadherinAnoikis sensitivityNuclear localizationInappropriate matrixAnoikis resistanceApoptotic responseOncogenic EMTAnoikisNRAGECellular sensitivityNovel pathwayUnknown mechanismAnkyrinEpithelial cellsEMTPathwayP14ARFCellsTbx2ComplexesGenesCytoplasmLoss of Nuclear Localized and Tyrosine Phosphorylated Stat5 in Breast Cancer Predicts Poor Clinical Outcome and Increased Risk of Antiestrogen Therapy Failure
Peck AR, Witkiewicz AK, Liu C, Stringer GA, Klimowicz AC, Pequignot E, Freydin B, Tran TH, Yang N, Rosenberg AL, Hooke JA, Kovatich AJ, Nevalainen MT, Shriver CD, Hyslop T, Sauter G, Rimm DL, Magliocco AM, Rui H. Loss of Nuclear Localized and Tyrosine Phosphorylated Stat5 in Breast Cancer Predicts Poor Clinical Outcome and Increased Risk of Antiestrogen Therapy Failure. Journal Of Clinical Oncology 2011, 29: 2448-2458. PMID: 21576635, PMCID: PMC3675698, DOI: 10.1200/jco.2010.30.3552.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overAntineoplastic Agents, HormonalBreast NeoplasmsCarcinoma, Ductal, BreastCarcinoma, Intraductal, NoninfiltratingCohort StudiesDisease ProgressionDisease-Free SurvivalDrug Resistance, NeoplasmEstrogen Receptor ModulatorsFemaleHumansLymphatic MetastasisMiddle AgedNeoplasm ProteinsNuclear ProteinsPhosphorylationPhosphotyrosinePrognosisProtein Processing, Post-TranslationalSTAT5 Transcription FactorSurvival AnalysisTreatment FailureTumor Suppressor ProteinsYoung AdultConceptsNode-negative breast cancerCancer-specific survivalIndependent prognostic markerBreast cancerWhole tissue sectionsTherapy failurePrognostic markerTissue microarrayPathologist scoringMultivariate analysis patientsSystemic adjuvant therapyAdjuvant hormone therapyMarker of prognosisPoor clinical outcomeUseful predictive markerPredictors of responseNormal breast epitheliumTissue sectionsCohort IVAdjuvant therapyHormone therapyAnalysis patientsClinical outcomesDuctal carcinomaProspective study
2010
Quantitative evaluation of protein expression as a function of tissue microarray core diameter: is a large (1.5 mm) core better than a small (0.6 mm) core?
Anagnostou VK, Lowery FJ, Syrigos KN, Cagle PT, Rimm DL. Quantitative evaluation of protein expression as a function of tissue microarray core diameter: is a large (1.5 mm) core better than a small (0.6 mm) core? Archives Of Pathology & Laboratory Medicine 2010, 134: 613-9. PMID: 20367312, DOI: 10.5858/134.4.613.Peer-Reviewed Original Research
2008
Nuclear to non-nuclear Pmel17/gp100 expression (HMB45 staining) as a discriminator between benign and malignant melanocytic lesions
Rothberg BE, Moeder CB, Kluger H, Halaban R, Elder DE, Murphy GF, Lazar A, Prieto V, Duncan LM, Rimm DL. Nuclear to non-nuclear Pmel17/gp100 expression (HMB45 staining) as a discriminator between benign and malignant melanocytic lesions. Modern Pathology 2008, 21: 1121-1129. PMID: 18552823, PMCID: PMC2570478, DOI: 10.1038/modpathol.2008.100.Peer-Reviewed Original ResearchAntigens, NeoplasmBiomarkers, TumorCell NucleusDiagnosis, DifferentialFluorescent Antibody Technique, IndirectGp100 Melanoma AntigenHumansImage Processing, Computer-AssistedImmunoenzyme TechniquesMelanomaMelanoma-Specific AntigensMembrane GlycoproteinsNeoplasm ProteinsNevus, PigmentedSkin NeoplasmsTissue Array Analysis
2007
Quantitative analysis of estrogen receptor heterogeneity in breast cancer
Chung GG, Zerkowski MP, Ghosh S, Camp RL, Rimm DL. Quantitative analysis of estrogen receptor heterogeneity in breast cancer. Laboratory Investigation 2007, 87: 662-669. PMID: 17334408, DOI: 10.1038/labinvest.3700543.Peer-Reviewed Original ResearchAdenocarcinomaAutomationBiomarkers, TumorBreast NeoplasmsFemaleHumansImage Processing, Computer-AssistedImmunohistochemistryLinear ModelsNeoplasm ProteinsObserver VariationParaffin EmbeddingPrognosisProtein Array AnalysisReceptors, EstrogenReproducibility of ResultsResearch DesignRetrospective StudiesSensitivity and Specificity
1998
Expression of c‐met is a strong independent prognostic factor in breast carcinoma
Ghoussoub R, Dillon D, D'Aquila T, Rimm E, Fearon E, Rimm D. Expression of c‐met is a strong independent prognostic factor in breast carcinoma. Cancer 1998, 82: 1513-1520. PMID: 9554529, DOI: 10.1002/(sici)1097-0142(19980415)82:8<1513::aid-cncr13>3.0.co;2-7.Peer-Reviewed Original ResearchConceptsBreast carcinomaIndependent predictorsStrong independent prognostic factorCox proportional hazards modelGrowth factorIndependent prognostic factorLymph node statusSubset of patientsInvasive ductal carcinomaUseful prognostic markerProportional hazards modelBreast tumor specimensHepatocyte growth factorNegative patientsPrognostic factorsAggressive diseaseDuctal carcinomaNode statusPrognostic valuePrognostic markerTumor specimensHazards modelPatientsPredictive valueSurvival rate