2021
Analysis of multispectral imaging with the AstroPath platform informs efficacy of PD-1 blockade
Berry S, Giraldo NA, Green BF, Cottrell TR, Stein JE, Engle EL, Xu H, Ogurtsova A, Roberts C, Wang D, Nguyen P, Zhu Q, Soto-Diaz S, Loyola J, Sander IB, Wong PF, Jessel S, Doyle J, Signer D, Wilton R, Roskes JS, Eminizer M, Park S, Sunshine JC, Jaffee EM, Baras A, De Marzo AM, Topalian SL, Kluger H, Cope L, Lipson EJ, Danilova L, Anders RA, Rimm DL, Pardoll DM, Szalay AS, Taube JM. Analysis of multispectral imaging with the AstroPath platform informs efficacy of PD-1 blockade. Science 2021, 372 PMID: 34112666, PMCID: PMC8709533, DOI: 10.1126/science.aba2609.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overAntigens, CDAntigens, Differentiation, MyelomonocyticAntineoplastic Agents, ImmunologicalB7-H1 AntigenBiomarkers, TumorCD8 AntigensFemaleFluorescent Antibody TechniqueForkhead Transcription FactorsHumansImmune Checkpoint ProteinsMacrophagesMaleMelanomaMiddle AgedPrognosisProgrammed Cell Death 1 ReceptorProgression-Free SurvivalReceptors, Cell SurfaceSingle-Cell AnalysisSOXE Transcription FactorsT-Lymphocyte SubsetsTreatment OutcomeTumor MicroenvironmentConceptsAnti-programmed cell death 1Anti-PD-1 blockadePD-1 blockadeCell death 1Tissue-based biomarkersLong-term survivalTumor tissue sectionsDeath-1PD-1PD-L1Immunoregulatory moleculesT cellsIndependent cohortMyeloid cellsMelanoma specimensMultiple cell typesTissue sectionsLow/BlockadeCell typesDistinct expression patternsExpression patternsImagingCD8Foxp3
2019
Closed system RT-qPCR as a potential companion diagnostic test for immunotherapy outcome in metastatic melanoma
Gupta S, McCann L, Chan YGY, Lai EW, Wei W, Wong PF, Smithy JW, Weidler J, Rhees B, Bates M, Kluger HM, Rimm DL. Closed system RT-qPCR as a potential companion diagnostic test for immunotherapy outcome in metastatic melanoma. Journal For ImmunoTherapy Of Cancer 2019, 7: 254. PMID: 31533832, PMCID: PMC6751819, DOI: 10.1186/s40425-019-0731-9.Peer-Reviewed Original ResearchMeSH KeywordsAgedAntineoplastic Agents, ImmunologicalB7-H1 AntigenBiomarkers, TumorCD8 AntigensFemaleFollow-Up StudiesGene Expression ProfilingHumansInterferon Regulatory Factor-1MaleMelanomaMiddle AgedMonitoring, ImmunologicPrognosisProgrammed Cell Death 1 Ligand 2 ProteinProgression-Free SurvivalReal-Time Polymerase Chain ReactionRetrospective StudiesReverse Transcriptase Polymerase Chain ReactionRNA, MessengerSkin NeoplasmsConceptsCompanion diagnostic testsImmunotherapy outcomesMelanoma patientsClinical benefitAnti-PD-1 therapyImmune checkpoint inhibitor therapyMRNA expressionQuantitative immunofluorescenceDiagnostic testsCheckpoint inhibitor therapyReal-time quantitative reverse transcription polymerase chain reactionMetastatic melanoma patientsQuantitative reverse transcription polymerase chain reactionReverse transcription-polymerase chain reactionTranscription-polymerase chain reactionYale Pathology archivesParaffin-embedded tissue sectionsAdjuvant settingICI therapyOS associationInhibitor therapyBaseline variablesMetastatic melanomaPredictive biomarkersPolymerase chain reaction
2015
Objective Measurement and Clinical Significance of TILs in Non–Small Cell Lung Cancer
Schalper KA, Brown J, Carvajal-Hausdorf D, McLaughlin J, Velcheti V, Syrigos KN, Herbst RS, Rimm DL. Objective Measurement and Clinical Significance of TILs in Non–Small Cell Lung Cancer. Journal Of The National Cancer Institute 2015, 107: dju435. PMID: 25650315, PMCID: PMC4565530, DOI: 10.1093/jnci/dju435.Peer-Reviewed Original ResearchMeSH KeywordsAntigens, CD20Carcinoma, Non-Small-Cell LungCD3 ComplexCD8 AntigensConfounding Factors, EpidemiologicFluorescent DyesHumansIndolesKaplan-Meier EstimateLung NeoplasmsLymphocytes, Tumor-InfiltratingMicroscopy, FluorescencePredictive Value of TestsRetrospective StudiesT-Lymphocytes, CytotoxicConceptsTumor-infiltrating lymphocytesLevels of CD3TIL subtypesMultivariable analysisTumor sizeLonger survivalAssociation of TILsLevel of TILsNon-small cell lung cancerNon-small cell lung cancer samplesLocal immune effectsClinico-pathologic characteristicsImmune checkpoint inhibitorsCell lung cancerCell lung cancer samplesLung cancer samplesDifferent tumor compartmentsObjective measurementsElevated CD3High CD20TIL markersTIL subpopulationsCheckpoint inhibitorsSmoking historyHistology type
2014
Multiplexed Quantitative Analysis of CD3, CD8, and CD20 Predicts Response to Neoadjuvant Chemotherapy in Breast Cancer
Brown JR, Wimberly H, Lannin DR, Nixon C, Rimm DL, Bossuyt V. Multiplexed Quantitative Analysis of CD3, CD8, and CD20 Predicts Response to Neoadjuvant Chemotherapy in Breast Cancer. Clinical Cancer Research 2014, 20: 5995-6005. PMID: 25255793, PMCID: PMC4252785, DOI: 10.1158/1078-0432.ccr-14-1622.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAntigens, CD20Antineoplastic Combined Chemotherapy ProtocolsBiomarkers, TumorBreast NeoplasmsCD3 ComplexCD8 AntigensChemotherapy, AdjuvantFemaleHumansImmunophenotypingLymphocyte SubsetsLymphocytes, Tumor-InfiltratingMiddle AgedNeoadjuvant TherapyNeoplasm GradingNeoplasm StagingPrognosisReproducibility of ResultsTreatment OutcomeTumor BurdenConceptsTumor-infiltrating lymphocytesPathologic complete responseBreast cancerTonsil specimensPredictive valueAQUA scoreQuantitative immunofluorescenceFlow cytometryFuture larger studiesPathologist estimationNeoadjuvant cohortNeoadjuvant chemotherapyNeoadjuvant therapyLymphocyte infiltratesTIL countComplete responseNodal statusLymphocyte percentageLymphocyte subpopulationsStromal expressionNuclear gradeUnivariate analysisKi-67CD8Clinical utility