Featured Publications
Tissue Age Affects Antigenicity and Scoring for the 22C3 Immunohistochemistry Companion Diagnostic Test
Fernandez A, Gaule P, Rimm D. Tissue Age Affects Antigenicity and Scoring for the 22C3 Immunohistochemistry Companion Diagnostic Test. Modern Pathology 2023, 36: 100159. PMID: 36925070, PMCID: PMC10502188, DOI: 10.1016/j.modpat.2023.100159.Peer-Reviewed Original ResearchConceptsPD-L1 signalTumor proportion scoreTissue microarray cohortCell lung cancerPrevious clinical diagnosisWhole tissue sectionsCompanion diagnostic testsMultiple cancer typesMicroarray cohortTMA cohortLaboratory-developed testsPD-L1NSCLC casesLung cancerProportion scorePositive stainingAntibody 22C3Immunohistochemistry testsClinical diagnosisExtracellular domainCancer typesDiagnostic testsArchival tissueDomain antigenAntibodies
2019
Multiplex quantitative analysis of cancer-associated fibroblasts and immunotherapy outcome in metastatic melanoma
Wong PF, Wei W, Gupta S, Smithy JW, Zelterman D, Kluger HM, Rimm DL. Multiplex quantitative analysis of cancer-associated fibroblasts and immunotherapy outcome in metastatic melanoma. Journal For ImmunoTherapy Of Cancer 2019, 7: 194. PMID: 31337426, PMCID: PMC6651990, DOI: 10.1186/s40425-019-0675-0.Peer-Reviewed Original ResearchConceptsProgression-free survivalBest overall responseSmooth muscle actinOverall survivalCell countQuantitative immunofluorescenceImmune markersImmunotherapy outcomesMelanoma patientsSignificant progression-free survivalAnti-PD-1 therapyAbsence of immunotherapyPretreatment tumor specimensImmune checkpoint blockadeCell death 1Cancer-associated fibroblast (CAF) populationNegative prognostic biomarkerCancer-associated fibroblastsWhole tissue sectionsOverall responseOS associationCAF parametersCheckpoint blockadeImmune dysregulationDeath-1Multiplex Quantitative Analysis of Tumor-Infiltrating Lymphocytes and Immunotherapy Outcome in Metastatic Melanoma
Wong PF, Wei W, Smithy JW, Acs B, Toki MI, Blenman K, Zelterman D, Kluger HM, Rimm DL. Multiplex Quantitative Analysis of Tumor-Infiltrating Lymphocytes and Immunotherapy Outcome in Metastatic Melanoma. Clinical Cancer Research 2019, 25: 2442-2449. PMID: 30617133, PMCID: PMC6467753, DOI: 10.1158/1078-0432.ccr-18-2652.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overAntineoplastic Agents, ImmunologicalBiomarkersBiomarkers, TumorFemaleFluorescent Antibody TechniqueHumansImmunohistochemistryImmunotherapyKaplan-Meier EstimateLymphocytes, Tumor-InfiltratingMaleMelanomaMiddle AgedMolecular Targeted TherapyNeoplasm StagingROC CurveT-Lymphocyte SubsetsConceptsCell countTIL activationQuantitative immunofluorescenceLymphocytic infiltrationMelanoma patientsMetastatic melanomaAnti-PD-1 responseAnti-PD-1 therapyCell death 1 (PD-1) inhibitionAbsence of immunotherapyDeath-1 (PD-1) inhibitionDisease control rateProgression-free survivalCD8 cell countsTumor-Infiltrating LymphocytesNew predictive biomarkersWhole tissue sectionsRECIST 1.1Progressive diseaseDurable responsesObjective responsePartial responseImmunotherapy outcomesLymphocyte profilesMultivariable analysis
2018
Utility of CD8 score by automated quantitative image analysis in head and neck squamous cell carcinoma
Hartman DJ, Ahmad F, Ferris R, Rimm D, Pantanowitz L. Utility of CD8 score by automated quantitative image analysis in head and neck squamous cell carcinoma. Oral Oncology 2018, 86: 278-287. PMID: 30409313, PMCID: PMC6260977, DOI: 10.1016/j.oraloncology.2018.10.005.Peer-Reviewed Original ResearchConceptsCD8 T cellsImmune cell densityOropharyngeal HNSCCT cellsNeck squamous cell carcinomaCD8 cell densityImmune cell infiltratesSquamous cell carcinomaWhole tissue sectionsEntire tumor sectionHPV infectionMedian survivalCell infiltrateHNSCC patientsCell carcinomaHNSCC casesClinicopathologic parametersOnly predictorTumor sectionsBetter outcomesClinical practiceTumor microenvironmentCell densityClinical validationCells/
2017
Measurement of PD-1, TIM-3 and LAG-3 protein in non-small cell lung carcinomas (NSCLCs) with acquired resistance to PD-1 axis blockers.
Datar I, Mani N, Henick B, Wurtz A, Kaftan E, Herbst R, Rimm D, Gettinger S, Politi K, Schalper K. Measurement of PD-1, TIM-3 and LAG-3 protein in non-small cell lung carcinomas (NSCLCs) with acquired resistance to PD-1 axis blockers. Journal Of Clinical Oncology 2017, 35: e14611-e14611. DOI: 10.1200/jco.2017.35.15_suppl.e14611.Peer-Reviewed Original ResearchNon-small cell lung carcinomaTim-3PD-1LAG-3T cellsInhibitory receptorsAdvanced non-small cell lung carcinomaPD-1 axis blockadeHigh TIM-3Immune suppressive pathwaysImmune inhibitory receptorsCell lung carcinomaMembranous staining patternPre-treatment samplesWhole tissue sectionsWhole tumor areaClinical responseMost patientsAxis blockadeLow levelsLung carcinomaT lymphocytesMultiplex immunofluorescenceHigh levelsSuppressive pathways
2016
Quantitative Assessment of the Heterogeneity of PD-L1 Expression in Non–Small-Cell Lung Cancer
McLaughlin J, Han G, Schalper KA, Carvajal-Hausdorf D, Pelakanou V, Rehman J, Velcheti V, Herbst R, LoRusso P, Rimm DL. Quantitative Assessment of the Heterogeneity of PD-L1 Expression in Non–Small-Cell Lung Cancer. JAMA Oncology 2016, 2: 1-9. PMID: 26562159, PMCID: PMC4941982, DOI: 10.1001/jamaoncol.2015.3638.Peer-Reviewed Original ResearchMeSH KeywordsAgedAntibodies, MonoclonalAntibody SpecificityB7-H1 AntigenBiomarkers, TumorCarcinoma, Non-Small-Cell LungFemaleFluorescent Antibody TechniqueHumansImmunohistochemistryLung NeoplasmsMaleObserver VariationPredictive Value of TestsReproducibility of ResultsRetrospective StudiesTissue Array AnalysisConceptsTumor-infiltrating lymphocytesPD-L1 expressionPD-L1 antibodiesPD-L1 protein expressionCell lung cancerPD-L1Whole tissue sectionsQuantitative immunofluorescenceLung cancerChromogenic immunohistochemistryPoor concordanceDifferent PD-L1 antibodiesHigh tumor-infiltrating lymphocytesTumor PD-L1 expressionPD-L1 protein levelsCell lung cancer biopsiesMonoclonal antibodiesCurrent consensus guidelinesProtein expressionDurable clinical responsesMain outcome measuresEarly phase trialsLung cancer biopsiesRabbit monoclonal antibodyCorresponding tissue microarrays
2011
P1-06-24: Nuclear Localization of Stat5a Predicts Response to Antiestrogen Therapy and Prognosis of Clinical Breast Cancer Outcome.
Peck A, Witkiewicz A, Liu C, Klimowicz A, Stringer G, Pequignot E, Freydin B, Yang N, Tran T, Rosenberg A, Hooke J, Kovatich A, Shriver C, Rimm D, Magliocco A, Hyslop T, Rui H. P1-06-24: Nuclear Localization of Stat5a Predicts Response to Antiestrogen Therapy and Prognosis of Clinical Breast Cancer Outcome. Cancer Research 2011, 71: p1-06-24-p1-06-24. DOI: 10.1158/0008-5472.sabcs11-p1-06-24.Peer-Reviewed Original ResearchCancer-specific survivalBreast cancer outcomesBreast cancer patientsAntiestrogen therapyClinical featuresCancer outcomesCancer patientsBreast cancerStandard immunohistochemistryNode-negative breast cancer patientsPathologist scoringPoor breast cancer outcomesBreast cancer-specific survivalQuantitative immunofluorescencePoor breast cancer prognosisInvasive breast cancer tissuesHormone receptor statusPredictors of responseFavorable prognostic markerBreast cancer prognosisBreast cancer tissuesNormal mammary developmentUseful clinical toolWhole tissue sectionsAntiestrogen responseOptimal tumor sampling for immunostaining of biomarkers in breast carcinoma
Tolles J, Bai Y, Baquero M, Harris LN, Rimm DL, Molinaro AM. Optimal tumor sampling for immunostaining of biomarkers in breast carcinoma. Breast Cancer Research 2011, 13: r51. PMID: 21592345, PMCID: PMC3218938, DOI: 10.1186/bcr2882.Peer-Reviewed Original ResearchConceptsWhole tissue sectionsBreast carcinomaEstrogen receptorBiomarker expressionTumor biomarker expressionAmount of tumorTissue sectionsEvidence-based standardsHeterogeneous markersTherapeutic responseHER-2Optimal tumorBreast biopsyBreast tumorsClinical implicationsMAP-tauQuantitative immunofluorescenceClinical useLevel of expressionCarcinomaImmunostaining assaysBiomarkersTumorsTissue samplesBiomarker heterogeneityLoss 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 studyEvaluation of prognostic and predictive value of microtubule associated protein tau in two independent cohorts
Baquero MT, Lostritto K, Gustavson MD, Bassi KA, Appia F, Camp RL, Molinaro AM, Harris LN, Rimm DL. Evaluation of prognostic and predictive value of microtubule associated protein tau in two independent cohorts. Breast Cancer Research 2011, 13: r85. PMID: 21888627, PMCID: PMC3262195, DOI: 10.1186/bcr2937.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overAntineoplastic Combined Chemotherapy ProtocolsBiomarkers, TumorBreast NeoplasmsCohort StudiesCyclophosphamideCytoplasmDocetaxelDoxorubicinEpithelial CellsFemaleFluorouracilHumansKaplan-Meier EstimateMiddle AgedPredictive Value of TestsPrognosisRandomized Controlled Trials as TopicRetrospective StudiesSurvival RateTau ProteinsTaxoidsConceptsOverall survivalBreast cancer cohortTreatment armsPredictive markerCancer cohortPredictive valueResponse rateConventional whole tissue sectionsMAP-tauImproved overall survivalHigh expressionMicrotubule associated protein tauTaxane-based chemotherapyKaplan-Meier analysisLonger median timeUseful predictive markerCox univariate analysisIndependent breast cancer cohortsWhole tissue sectionsFAC chemotherapyLonger TTPMedian timeMeier analysisPrognostic valueClinicopathologic variables
2000
Validation of Tissue Microarray Technology in Breast Carcinoma
Camp R, Charette L, Rimm D. Validation of Tissue Microarray Technology in Breast Carcinoma. Laboratory Investigation 2000, 80: 1943-1949. PMID: 11140706, DOI: 10.1038/labinvest.3780204.Peer-Reviewed Original ResearchConceptsWhole tissue sectionsInvasive breast carcinomaBreast carcinomaTissue microarray technologyLarge-scale retrospective cohort studyTissue sectionsArchival tissueRetrospective cohort studyHER2/neu oncogeneTissue microarray techniqueCohort studyBreast cancer microarrayProgesterone receptorArchival cohortEstrogen receptorAmount of tissueCommon antigenNeu oncogeneEntire tumorCarcinomaProtein expressionProtein expression patternsArchival formalinTissueReceptors