2024
High-throughput transcriptome profiling indicates ribosomal RNAs to be associated with resistance to immunotherapy in non-small cell lung cancer (NSCLC)
Moutafi M, Bates K, Aung T, Milian R, Xirou V, Vathiotis I, Gavrielatou N, Angelakis A, Schalper K, Salichos L, Rimm D. High-throughput transcriptome profiling indicates ribosomal RNAs to be associated with resistance to immunotherapy in non-small cell lung cancer (NSCLC). Journal For ImmunoTherapy Of Cancer 2024, 12: e009039. PMID: 38857914, PMCID: PMC11168162, DOI: 10.1136/jitc-2024-009039.Peer-Reviewed Original ResearchConceptsNon-small cell lung cancerImmune checkpoint inhibitorsProgrammed cell death protein 1Associated with OSCell lung cancerTissue microarray spotsTissue microarrayValidation cohortLung cancerNon-small cell lung cancer treated with immune checkpoint inhibitorsAssociated with resistance to immunotherapyCell death protein 1Resistance to immunotherapyAssociated with PFSProgression-free survivalSecreted frizzled-related protein 2Cox proportional-hazards model analysisCheckpoint inhibitorsImmunotherapy strategiesTumor compartmentsRetrospective cohortDiscovery cohortLong-term benefitsPatientsCD68
2023
Immune dysfunction revealed by digital spatial profiling of immuno-oncology markers in progressive stages of renal cell carcinoma and in brain metastases
Schoenfeld D, Moutafi M, Martinez S, Djureinovic D, Merkin R, Adeniran A, Braun D, Signoretti S, Choueiri T, Parisi F, Hurwitz M, Rimm D, Wei W, Jilaveanu L, Kluger H. Immune dysfunction revealed by digital spatial profiling of immuno-oncology markers in progressive stages of renal cell carcinoma and in brain metastases. Journal For ImmunoTherapy Of Cancer 2023, 11: e007240. PMID: 37586773, PMCID: PMC10432651, DOI: 10.1136/jitc-2023-007240.Peer-Reviewed Original ResearchConceptsRenal cell carcinomaBrain metastasesPrimary tumorTumor microenvironmentDigital spatial profilingCell carcinomaActivation protein expressionInflammatory macrophage markersRCC brain metastasesInnate immune activatorsNormal kidney samplesProgressive stagesExtracranial metastasesTim-3Immune checkpointsImmune dysfunctionImmune activationRCC metastasisLonger survivalImmune activatorsMacrophage markersTreatment responseSeparate cohortTissue microarrayMetastatic samples
2021
BRCA1 Protein Expression Predicts Survival in Glioblastoma Patients from an NRG Oncology RTOG Cohort
Vassilakopoulou M, Won M, Curran WJ, Souhami L, Prados MD, Langer CJ, Rimm DL, Hanna JA, Neumeister VM, Melian E, Diaz AZ, Atkins JN, Komarnicky LT, Schultz CJ, Howard SP, Zhang P, Dicker AP, Knisely JPS. BRCA1 Protein Expression Predicts Survival in Glioblastoma Patients from an NRG Oncology RTOG Cohort. Oncology 2021, 99: 580-588. PMID: 33957633, PMCID: PMC8491475, DOI: 10.1159/000516168.Peer-Reviewed Original ResearchConceptsBRCA1 protein expressionTensin homolog (PTEN) tumor suppressor geneProtein expressionTumor suppressor geneQuantitative protein analysisDNA repairGenetic profiling studiesMolecular markersSuppressor geneProtein analysisProfiling studiesBRCA1 expressionSitu hybridizationExpression levelsTumor formationCommon malignant brain tumorCancer cellsTissue microarrayGlioblastoma tumorsExpressionPre-temozolomide eraGlioblastoma patientsSpatially Resolved and Quantitative Analysis of the Immunological Landscape in Human Meningiomas
Yeung J, Yaghoobi V, Aung TN, Vesely MD, Zhang T, Gaule P, Gunel M, Rimm DL, Chen L. Spatially Resolved and Quantitative Analysis of the Immunological Landscape in Human Meningiomas. Journal Of Neuropathology & Experimental Neurology 2021, 80: 150-159. PMID: 33393633, DOI: 10.1093/jnen/nlaa152.Peer-Reviewed Original ResearchConceptsPD-L1 expressionT cell infiltrationPD-L1PD-L2Human meningiomasTumor-infiltrating immune cell populationsHigh PD-L1 expressionT-cell activation/proliferationActivation/dysfunctionLevels of CD3Immune cell subsetsT-cell phenotypeImmune cell populationsHigh-grade tumorsActivation/proliferationHigher CD3TIL infiltrationCD8 ratioImmunotherapeutic strategiesCell subsetsImmunological statusGrade tumorsImmunological landscapeTissue microarrayMacrophage phenotype
2020
Quantitative analysis of CMTM6 expression in tumor microenvironment in metastatic melanoma and association with outcome on immunotherapy
Martinez-Morilla S, Zugazagoitia J, Wong PF, Kluger HM, Rimm DL. Quantitative analysis of CMTM6 expression in tumor microenvironment in metastatic melanoma and association with outcome on immunotherapy. OncoImmunology 2020, 10: 1864909. PMID: 33457084, PMCID: PMC7781756, DOI: 10.1080/2162402x.2020.1864909.Peer-Reviewed Original ResearchConceptsImmune checkpoint inhibitorsPD-L1CMTM6 expressionControl patientsLonger survivalTissue microarrayQuantitative immunofluorescenceEffectiveness of immunotherapyMetastatic melanoma patientsDeath ligand 1Like MARVEL transmembrane domainCancer Genome Atlas (TCGA) databaseExpression of CMTM6MARVEL transmembrane domainExpression of mRNAChemokine-like factorICI treatmentCheckpoint inhibitorsPretreatment biopsiesCD68 markersImmune compartmentMultivariable analysisMelanoma patientsImmune-related proteinsPredictive factorsBiomarkers Associated with Beneficial PD-1 Checkpoint Blockade in Non–Small Cell Lung Cancer (NSCLC) Identified Using High-Plex Digital Spatial Profiling
Zugazagoitia J, Gupta S, Liu Y, Fuhrman K, Gettinger S, Herbst RS, Schalper KA, Rimm DL. Biomarkers Associated with Beneficial PD-1 Checkpoint Blockade in Non–Small Cell Lung Cancer (NSCLC) Identified Using High-Plex Digital Spatial Profiling. Clinical Cancer Research 2020, 26: 4360-4368. PMID: 32253229, PMCID: PMC7442721, DOI: 10.1158/1078-0432.ccr-20-0175.Peer-Reviewed Original ResearchConceptsNon-small cell lung cancerPD-1 checkpoint blockadeCell lung cancerCheckpoint blockadeLung cancerAdvanced non-small cell lung cancerUnivariate unadjusted analysisProgression-free survivalImmune cell countsMinority of patientsRobust predictive biomarkersBiomarkers of responseLarge independent cohortsSpatial profiling technologyDigital spatial profilingDigital spatial profiling (DSP) technologyOverall survivalClinical outcomesImmune predictorsHigher CD56NSCLC casesPredictive biomarkersUnadjusted analysesImmune parametersTissue microarrayDigital quantitative assessment of PD-L1 using digital spatial profiling
Gupta S, Zugazagoitia J, Martinez-Morilla S, Fuhrman K, Rimm DL. Digital quantitative assessment of PD-L1 using digital spatial profiling. Laboratory Investigation 2020, 100: 1311-1317. PMID: 32249818, PMCID: PMC7502436, DOI: 10.1038/s41374-020-0424-5.Peer-Reviewed Original ResearchConceptsTissue microarrayPD-L1Digital spatial profilingDeath 1 ligand 1 expressionPD-L1 immunohistochemistry assaysDigital quantitative assessmentDigital Spatial ProfilerLigand 1 expressionPD-L1 assaysCompanion diagnostic testingCell linesImmune therapyPredictive markerImmune cellsImmunohistochemistry assaysQuantitative immunohistochemistryUS FoodDrug AdministrationDiagnostic testingImmunohistochemistryNCounter platformTumor cellsDifferent scoring methodsMultiple studiesDifferent antibodiesAssociation between low estrogen receptor positive breast cancer and staining performance
Caruana D, Wei W, Martinez-Morilla S, Rimm DL, Reisenbichler ES. Association between low estrogen receptor positive breast cancer and staining performance. Npj Breast Cancer 2020, 6: 5. PMID: 32047851, PMCID: PMC7002746, DOI: 10.1038/s41523-020-0146-2.Peer-Reviewed Original ResearchER expressionER- tumorsBreast carcinomaTissue microarrayNormal epitheliumEstrogen receptor-positive breast cancerER casesReceptor-positive breast cancerControl patient populationER-positive tumorsEstrogen receptor expressionPositive breast cancerMean optical densityBackground epitheliumPositive tumorsControl cohortPatient populationControl tumorsReceptor expressionBenign epitheliumBreast cancerRare caseNormal ductsER stainingTumors
2019
High-Plex Predictive Marker Discovery for Melanoma Immunotherapy–Treated Patients Using Digital Spatial Profiling
Toki MI, Merritt CR, Wong PF, Smithy JW, Kluger HM, Syrigos KN, Ong GT, Warren SE, Beechem JM, Rimm DL. High-Plex Predictive Marker Discovery for Melanoma Immunotherapy–Treated Patients Using Digital Spatial Profiling. Clinical Cancer Research 2019, 25: 5503-5512. PMID: 31189645, PMCID: PMC6744974, DOI: 10.1158/1078-0432.ccr-19-0104.Peer-Reviewed Original ResearchMeSH KeywordsAntineoplastic Agents, ImmunologicalBiomarkers, TumorFemaleFluorescent Antibody TechniqueHumansImmunohistochemistryImmunotherapyLymphocytes, Tumor-InfiltratingMaleMelanomaMolecular Diagnostic TechniquesMolecular Targeted TherapyPrognosisProportional Hazards ModelsTissue Array AnalysisTreatment OutcomeConceptsNon-small cell lung cancerProlonged progression-free survivalDigital spatial profilingOverall survivalPD-L1Predictive markerPD-L1 expressionProgression-free survivalProtein expressionCell lung cancerNovel predictive markerCD68-positive cellsStromal CD3Melanoma immunotherapyImmune markersImmune therapyPrognostic valueLung cancerAntibody cocktailTissue microarrayQuantitative fluorescenceOutcome assessmentTumor cellsHigh concordanceMultiple biomarkersQuantitative assessment of PD-L1 as an analyte in immunohistochemistry diagnostic assays using a standardized cell line tissue microarray
Martinez-Morilla S, McGuire J, Gaule P, Moore L, Acs B, Cougot D, Gown AM, Yaziji H, Wang WL, Cartun RW, Hornick JL, Sholl LM, Qiu J, Mino-Kenudson M, Yi ES, Beasley MB, Merrick DT, Ambaye AB, Zhang ZJ, Walker J, Rimm DL. Quantitative assessment of PD-L1 as an analyte in immunohistochemistry diagnostic assays using a standardized cell line tissue microarray. Laboratory Investigation 2019, 100: 4-15. PMID: 31409885, PMCID: PMC6920558, DOI: 10.1038/s41374-019-0295-9.Peer-Reviewed Original ResearchConceptsTissue microarrayPD-L1Quantitative immunofluorescencePD-L1 expressionPD-L1 immunohistochemistryMulti-institutional settingRoutine clinical samplesCell linesPredictive markerClinical trialsTumor typesIHC assaysQuantitative digital image analysisImmunohistochemistryCut pointsClinical samplesAntibodiesFDAInter-assay comparisonsDiagnostic assaysIsogenic cell linesAssaysDigital image analysisSubjective assessmentLow levels
2017
PD-L1 Studies Across Tumor Types, Its Differential Expression and Predictive Value in Patients Treated with Immune Checkpoint Inhibitors
Kluger HM, Zito CR, Turcu G, Baine M, Zhang H, Adeniran A, Sznol M, Rimm DL, Kluger Y, Chen L, Cohen JV, Jilaveanu LB. PD-L1 Studies Across Tumor Types, Its Differential Expression and Predictive Value in Patients Treated with Immune Checkpoint Inhibitors. Clinical Cancer Research 2017, 23: 4270-4279. PMID: 28223273, PMCID: PMC5540774, DOI: 10.1158/1078-0432.ccr-16-3146.Peer-Reviewed Original ResearchConceptsNon-small cell lung cancerPD-L1 expressionRenal cell carcinomaPD-1 inhibitorsCell carcinomaImmune-infiltrating cellsMelanoma patientsPD-L1Tumor cellsTumor typesTumor-associated inflammatory cellsCTLA-4 inhibitorsCell lung cancerRenal cell carcinoma cellsHigh response rateClin Cancer ResCell linesMelanoma tumor cellsPD-1Multivariable analysisNSCLC specimensInflammatory cellsLung cancerTissue microarrayResponse rateObjective, domain-specific HER2 measurement in uterine and ovarian serous carcinomas and its clinical significance
Carvajal-Hausdorf DE, Schalper KA, Bai Y, Black J, Santin AD, Rimm DL. Objective, domain-specific HER2 measurement in uterine and ovarian serous carcinomas and its clinical significance. Gynecologic Oncology 2017, 145: 154-158. PMID: 28196634, PMCID: PMC5941302, DOI: 10.1016/j.ygyno.2017.02.002.Peer-Reviewed Original ResearchMeSH KeywordsAdo-Trastuzumab EmtansineAfatinibAntibodies, Monoclonal, HumanizedAntineoplastic AgentsCohort StudiesExtracellular SpaceFemaleFluorescent Antibody TechniqueHumansIntracellular SpaceLapatinibMaytansineMiddle AgedNeoplasms, Cystic, Mucinous, and SerousOvarian NeoplasmsProtein DomainsQuinazolinesReceptor, ErbB-2Retrospective StudiesTissue Array AnalysisTrastuzumabUterine NeoplasmsConceptsUterine serous carcinomaOvarian serous carcinomaHER2 intracellular domainSerous carcinomaECD levelsECD statusTissue microarrayHER2 measurementQuantitative immunofluorescenceHER2 overexpression/amplificationClinico-pathologic characteristicsClinico-pathological featuresHER2-targeted agentsIntracellular domainOverexpression/amplificationHER2 extracellular domainExtracellular domainOSC patientsClinical trialsBreast cancerClinical significancePatientsHER2 assaysP95-HER2CarcinomaA Quantitative Comparison of Antibodies to Programmed Cell Death 1 Ligand 1
Gaule P, Smithy JW, Toki M, Rehman J, Patell-Socha F, Cougot D, Collin P, Morrill P, Neumeister V, Rimm DL. A Quantitative Comparison of Antibodies to Programmed Cell Death 1 Ligand 1. JAMA Oncology 2017, 3: 256-259. PMID: 27541827, PMCID: PMC5491359, DOI: 10.1001/jamaoncol.2016.3015.Peer-Reviewed Original ResearchPD-L1 expressionPD-L1Tissue microarrayImmunohistochemical analysisCell death 1 ligand 1PD-1 axis inhibitorsDeath 1 ligand 1Quantitative immunofluorescenceCell linesPredictive diagnostic testsTumor tissue coresPD-L1 proteinPrediction of responseYale Pathology archivesLung cancerClinical utilityPathology archivesDiagnostic testsMonoclonal antibodiesAntibodiesTissue controlsProtein levelsTissue coresLigand 1Concordant results
2015
Loss of antigenicity with tissue age in breast cancer
Combs SE, Han G, Mani N, Beruti S, Nerenberg M, Rimm DL. Loss of antigenicity with tissue age in breast cancer. Laboratory Investigation 2015, 96: 264-269. PMID: 26568292, DOI: 10.1038/labinvest.2015.138.Peer-Reviewed Original ResearchConceptsHuman epidermal growth receptor 2Estrogen receptorQuantitative immunofluorescenceProtein expressionSeries of formalinRandom-effects modelHuman breast carcinomaLarge cooperative groupsParaffin-embedded tissuesKi67 expressionBreast carcinomaBreast cancerIndividual patientsTissue microarrayClinical investigationClinical questionsReceptor 2Tumor specimensPositive casesLoss of antigenicityFFPE biospecimensQuantitative protein expressionBiomarkersCooperative groupsPreservation timeCharacterization of PD-L1 Expression and Associated T-cell Infiltrates in Metastatic Melanoma Samples from Variable Anatomic Sites
Kluger HM, Zito CR, Barr ML, Baine MK, Chiang VL, Sznol M, Rimm DL, Chen L, Jilaveanu LB. Characterization of PD-L1 Expression and Associated T-cell Infiltrates in Metastatic Melanoma Samples from Variable Anatomic Sites. Clinical Cancer Research 2015, 21: 3052-3060. PMID: 25788491, PMCID: PMC4490112, DOI: 10.1158/1078-0432.ccr-14-3073.Peer-Reviewed Original ResearchConceptsPD-L1 expressionT-cell contentPD-1/PD-L1 inhibitorsHigher T-cell contentT-cell infiltratesPD-L1 inhibitorsAnatomic sitesBrain metastasesMetastatic melanomaTissue microarrayHigh PD-L1 expressionLess PD-L1 expressionLow PD-L1 expressionTumor PD-L1 expressionHigher TIL contentImproved overall survivalT cell infiltrationLess T cellsMetastatic melanoma samplesExtracerebral metastasesCerebral metastasesOverall survivalDermal metastasesImproved survivalPD-L1Measurement of Domain-Specific HER2 (ERBB2) Expression May Classify Benefit From Trastuzumab in Breast Cancer
Carvajal-Hausdorf DE, Schalper KA, Pusztai L, Psyrri A, Kalogeras KT, Kotoula V, Fountzilas G, Rimm DL. Measurement of Domain-Specific HER2 (ERBB2) Expression May Classify Benefit From Trastuzumab in Breast Cancer. Journal Of The National Cancer Institute 2015, 107: djv136. PMID: 25991002, PMCID: PMC4554192, DOI: 10.1093/jnci/djv136.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAntibodies, Monoclonal, HumanizedAntineoplastic AgentsAntineoplastic Combined Chemotherapy ProtocolsBiomarkers, TumorBreast NeoplasmsChemotherapy, AdjuvantClinical Trials as TopicDisease-Free SurvivalExtracellular SpaceFemaleFluorescent Antibody TechniqueGene Expression Regulation, NeoplasticHumansIntracellular SpaceKaplan-Meier EstimateMiddle AgedPredictive Value of TestsPrognosisReceptor, ErbB-2Sensitivity and SpecificityTissue Array AnalysisTrastuzumabTreatment OutcomeConceptsHuman epidermal growth factor receptor 2ECD expressionICD statusLonger DFSQuantitative immunofluorescenceTrastuzumab therapyPrognostic valueBreast cancerTissue microarrayEpidermal growth factor receptor 2Adjuvant trastuzumab therapyDisease-free survival analysisTrastuzumab-treated patientsGrowth factor receptor 2High positive predictive valueHER2-positive tumorsKaplan-Meier estimatesFactor receptor 2ERBB2 gene amplificationHER2 protein expressionPositive predictive valueExtracellular domainAdjuvant chemotherapyHER2-ICDBetter DFS
2014
Preanalytical variables and phosphoepitope expression in FFPE tissue: quantitative epitope assessment after variable cold ischemic time
Vassilakopoulou M, Parisi F, Siddiqui S, England AM, Zarella ER, Anagnostou V, Kluger Y, Hicks DG, Rimm DL, Neumeister VM. Preanalytical variables and phosphoepitope expression in FFPE tissue: quantitative epitope assessment after variable cold ischemic time. Laboratory Investigation 2014, 95: 334-341. PMID: 25418580, DOI: 10.1038/labinvest.2014.139.Peer-Reviewed Original ResearchConceptsCold ischemic timeIschemic timeFormalin fixationCompanion diagnostic testingCancer patientsBreast cancerTissue microarrayPhospho-HSP27Breast tumorsDiagnostic testingQuantitative immunofluorescenceAQUA technologyPreanalytical variablesGene expression profilingLoss of antigenicityTissue samplesReproducible assessmentProtein levelsConfidence intervalsSpecimen collectionExpression levelsPhosphorylation levelsAntigenicityRoutine usageResearch settingsEGFR expression is associated with decreased benefit from trastuzumab in the NCCTG N9831 (Alliance) trial
Cheng H, Ballman K, Vassilakopoulou M, Dueck AC, Reinholz MM, Tenner K, Gralow J, Hudis C, Davidson NE, Fountzilas G, McCullough AE, Chen B, Psyrri A, Rimm DL, Perez EA. EGFR expression is associated with decreased benefit from trastuzumab in the NCCTG N9831 (Alliance) trial. British Journal Of Cancer 2014, 111: 1065-1071. PMID: 25117817, PMCID: PMC4453859, DOI: 10.1038/bjc.2014.442.Peer-Reviewed Original ResearchConceptsNorth Central Cancer Treatment GroupMetastatic breast cancer cohortEpidermal growth factor receptorBreast cancer cohortHigh EGFR expressionEGFR expressionConcurrent trastuzumabGrowth factor receptorCancer cohortEGFR antibodyNCCTG N9831 trialsAnti-HER2 therapyCancer Treatment GroupDisease-free survivalFactor receptorN9831 trialsSequential trastuzumabAdditive therapyArm AClinical outcomesTreatment optionsWorse outcomesArm CTissue microarrayTreatment groupsIn Situ Quantitative Measurement of HER2mRNA Predicts Benefit from Trastuzumab-Containing Chemotherapy in a Cohort of Metastatic Breast Cancer Patients
Vassilakopoulou M, Togun T, Dafni U, Cheng H, Bordeaux J, Neumeister VM, Bobos M, Pentheroudakis G, Skarlos DV, Pectasides D, Kotoula V, Fountzilas G, Rimm DL, Psyrri A. In Situ Quantitative Measurement of HER2mRNA Predicts Benefit from Trastuzumab-Containing Chemotherapy in a Cohort of Metastatic Breast Cancer Patients. PLOS ONE 2014, 9: e99131. PMID: 24968015, PMCID: PMC4072595, DOI: 10.1371/journal.pone.0099131.Peer-Reviewed Original ResearchConceptsBreast cancer patientsMetastatic breast cancer patientsFISH HER2Cancer patientsHER2 mRNAPrognostic factorsTrastuzumab-treated metastatic breast cancer patientsMultivariate Cox regression modelECD HER2Log rank pMetastatic breast cancerStrong prognostic factorCox regression modelKaplan-Meier estimatesHER2 mRNA levelsHER2-ICDChemotherapy regimensMetastatic cohortTrastuzumab treatmentBreast cancerTissue microarrayMRNA statusPerformance of markersHER2 receptorPredictive valuePrognostic Biomarkers in Phase II Trial of Cetuximab-Containing Induction and Chemoradiation in Resectable HNSCC: Eastern Cooperative Oncology Group E2303
Psyrri A, Lee JW, Pectasides E, Vassilakopoulou M, Kosmidis EK, Burtness BA, Rimm DL, Wanebo HJ, Forastiere AA. Prognostic Biomarkers in Phase II Trial of Cetuximab-Containing Induction and Chemoradiation in Resectable HNSCC: Eastern Cooperative Oncology Group E2303. Clinical Cancer Research 2014, 20: 3023-3032. PMID: 24700741, PMCID: PMC4049169, DOI: 10.1158/1078-0432.ccr-14-0113.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAntibodies, Monoclonal, HumanizedAntineoplastic Combined Chemotherapy ProtocolsBiomarkers, TumorCarboplatinCarcinoma, Squamous CellCetuximabChemoradiotherapyDisease-Free SurvivalDrug Resistance, NeoplasmFemaleFluorescent Antibody TechniqueHead and Neck NeoplasmsHumansInduction ChemotherapyKaplan-Meier EstimateMaleMiddle AgedMitogen-Activated Protein Kinase KinasesPaclitaxelPhosphatidylinositol 3-KinasesPrognosisProportional Hazards ModelsProto-Oncogene Proteins c-aktRas ProteinsSignal TransductionSquamous Cell Carcinoma of Head and NeckTissue Array AnalysisConceptsProgression-free survivalEvent-free survivalPhase II trialOverall survivalII trialTissue microarrayStage III/IV headMultivariable Cox proportional hazards modelsMultivariable Cox regression analysisNeck squamous cell cancerRAS/MAPK/ERKCox proportional hazards modelInsulin-like growth factor 1 receptorLarge prospective studiesCox regression analysisInferior overall survivalKaplan-Meier methodSquamous cell cancerLog-rank testGrowth factor 1 receptorProportional hazards modelPI3K/Akt pathwayFactor 1 receptorPI3K/AktEGF receptor