2024
Digital spatial proteomic profiling reveals immune checkpoints as biomarkers in lymphoid aggregates and tumor microenvironment of desmoplastic melanoma
Su D, Schoenfeld D, Ibrahim W, Cabrejo R, Djureinovic D, Baumann R, Rimm D, Khan S, Halaban R, Kluger H, Olino K, Galan A, Clune J. Digital spatial proteomic profiling reveals immune checkpoints as biomarkers in lymphoid aggregates and tumor microenvironment of desmoplastic melanoma. Journal For ImmunoTherapy Of Cancer 2024, 12: e008646. PMID: 38519058, PMCID: PMC10961546, DOI: 10.1136/jitc-2023-008646.Peer-Reviewed Original ResearchMeSH KeywordsActinsBiomarkers, TumorCTLA-4 AntigenHumansMelanomaProgrammed Cell Death 1 ReceptorProteomicsTumor MicroenvironmentConceptsCTLA-4 expression levelsCancer-associated fibroblastsAssociated with worse survivalExpression of immune checkpointsLAG-3 expressionDesmoplastic melanomaLymphoid aggregatesCTLA-4PD-1Immune checkpointsIntratumoral leukocytesLAG-3Tumor compartmentsWorse survivalCD20+B cellsIncreased expression of immune checkpointsProgrammed cell death protein 1Macrophage/monocyte markerSentinel lymph node positivityCell death protein 1Associated with poor prognosisLymph node positivityDense fibrous stromaPotential prognostic significanceCore of tumors
2022
Quantitative assessment of Siglec-15 expression in lung, breast, head, and neck squamous cell carcinoma and bladder cancer.
Shafi S, Aung T, Xirou V, Gavrielatou N, Vathiotis I, Fernandez A, Moutafi M, Yaghoobi V, Herbst R, Liu L, Langermann S, Rimm D. Quantitative assessment of Siglec-15 expression in lung, breast, head, and neck squamous cell carcinoma and bladder cancer. Laboratory Investigation 2022, 102: 1143-1149. PMID: 36775354, DOI: 10.1038/s41374-022-00796-6.Peer-Reviewed Original ResearchConceptsSiglec-15 expressionNon-small cell lung cancerNeck squamous cell carcinomaProgression-free survivalSquamous cell carcinomaCancer typesOverall survivalCell carcinomaBladder cancerImmune cellsSiglec-15PD-1/PD-L1 blockadePotential future clinical trialsQuantitative immunofluorescencePD-L1 blockadeStromal immune cellsImmune checkpoint blockadeCell lung cancerFuture clinical trialsNew potential targetsCheckpoint blockadePD-L1Lung cancerClinical trialsIntra-tumoral heterogeneityAssociation of PD-1/PD-L1 Co-location with Immunotherapy Outcomes in Non-Small Cell Lung Cancer
Gavrielatou N, Liu Y, Vathiotis I, Zugazagoitia J, Aung TN, Shafi S, Fernandez A, Schalper K, Psyrri A, Rimm DL. Association of PD-1/PD-L1 Co-location with Immunotherapy Outcomes in Non-Small Cell Lung Cancer. Clinical Cancer Research 2022, 28: clincanres.2649.2021. PMID: 34686497, PMCID: PMC8776595, DOI: 10.1158/1078-0432.ccr-21-2649.Peer-Reviewed Original ResearchMeSH KeywordsB7-H1 AntigenCarcinoma, Non-Small-Cell LungHumansImmunotherapyLung NeoplasmsProgrammed Cell Death 1 ReceptorRetrospective StudiesConceptsNon-small cell lung cancerBest overall responsePD-L1 tumor proportion scorePD-1/PD-L1Immune checkpoint inhibitorsProgression-free survivalTumor proportion scoreCell lung cancerPD-L1Immunotherapy outcomesCheckpoint inhibitorsOverall survivalQuantitative immunofluorescenceLung cancerProportion scoreAdvanced non-small cell lung cancerLocal T cell responsesCell death protein 1Immunotherapy-treated patientsMultiplexed quantitative immunofluorescencePD-1 expressionPD-L1 expressionDeath protein 1Selection of patientsT cell responses
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 patternsImagingCD8Foxp3PARP inhibitors in head and neck cancer: Molecular mechanisms, preclinical and clinical data
Moutafi M, Economopoulou P, Rimm D, Psyrri A. PARP inhibitors in head and neck cancer: Molecular mechanisms, preclinical and clinical data. Oral Oncology 2021, 117: 105292. PMID: 33862558, DOI: 10.1016/j.oraloncology.2021.105292.Peer-Reviewed Original ResearchMeSH KeywordsCisplatinHead and Neck NeoplasmsHumansPoly(ADP-ribose) Polymerase InhibitorsPoly(ADP-ribose) PolymerasesProgrammed Cell Death 1 ReceptorSquamous Cell Carcinoma of Head and NeckConceptsPoly (ADP-ribose) polymerase (PARP) inhibitorsCheckpoint inhibitorsCell death 1 (PD-1) checkpoint inhibitorsDeath-1 checkpoint inhibitorsDeath ligand 1 (PD-L1) expressionPARP inhibitorsPD-1 checkpoint inhibitorsNeck squamous cell carcinomaCornerstone of treatmentLigand 1 expressionImmune modulating effectsSquamous cell carcinomaSuccessful treatment outcomeDesign of trialsOutcome of therapyTreatment landscapeCell carcinomaNeck cancerTreatment outcomesClinical dataTherapeutic strategiesDNA damageRecent approvalImmune primingNucleotide excision repair
2020
PD-L1 Protein Expression on Both Tumor Cells and Macrophages are Associated with Response to Neoadjuvant Durvalumab with Chemotherapy in Triple-negative Breast Cancer
Ahmed FS, Gaule P, McGuire J, Patel K, Blenman K, Pusztai L, Rimm DL. PD-L1 Protein Expression on Both Tumor Cells and Macrophages are Associated with Response to Neoadjuvant Durvalumab with Chemotherapy in Triple-negative Breast Cancer. Clinical Cancer Research 2020, 26: 5456-5461. PMID: 32709714, PMCID: PMC7572612, DOI: 10.1158/1078-0432.ccr-20-1303.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAntibodies, MonoclonalAntigens, CDAntigens, Differentiation, MyelomonocyticAntineoplastic Combined Chemotherapy ProtocolsB7-H1 AntigenBiomarkers, TumorCell ProliferationFemaleGene Expression Regulation, NeoplasticHumansLymphocytes, Tumor-InfiltratingMacrophagesMiddle AgedNeoadjuvant TherapyProgrammed Cell Death 1 ReceptorTriple Negative Breast NeoplasmsConceptsTriple-negative breast cancerPD-L1 expressionNeoadjuvant durvalumabTumor cellsImmune cellsBreast cancerPretreatment core-needle biopsiesPhase I/II clinical trialsPD-L1 protein expressionIMpassion 130 trialCore needle biopsyAmount of CD68Neoadjuvant settingMetastatic settingPD-L1Clinical trialsNeedle biopsyInsufficient tissuePatientsCD68Stromal compartmentQuantitative immunofluorescenceChemotherapyFinal analysisProtein expressionBiomarkers 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 microarrayImmune Cell PD-L1 Colocalizes with Macrophages and Is Associated with Outcome in PD-1 Pathway Blockade Therapy
Liu Y, Zugazagoitia J, Ahmed FS, Henick BS, Gettinger S, Herbst RS, Schalper KA, Rimm DL. Immune Cell PD-L1 Colocalizes with Macrophages and Is Associated with Outcome in PD-1 Pathway Blockade Therapy. Clinical Cancer Research 2020, 26: 970-977. PMID: 31615933, PMCID: PMC7024671, DOI: 10.1158/1078-0432.ccr-19-1040.Peer-Reviewed Original ResearchConceptsPD-L1 expressionHigh PD-L1 expressionPD-L1 levelsPD-L1Immune cellsTumor cellsT cellsHigh PD-L1 levelsPredominant immune cell typeNon-small cell lung cancer (NSCLC) casesDifferent immune cell subsetsCell lung cancer casesElevated PD-L1High PD-L1Better overall survivalDeath ligand 1Natural killer cellsImmune cell subsetsMultiple immune cellsCytotoxic T cellsLung cancer casesImmune cell typesCD68 levelsCell typesBlockade therapy
2019
Expression Analysis and Significance of PD-1, LAG-3, and TIM-3 in Human Non–Small Cell Lung Cancer Using Spatially Resolved and Multiparametric Single-Cell Analysis
Datar I, Sanmamed MF, Wang J, Henick BS, Choi J, Badri T, Dong W, Mani N, Toki M, Mejías L, Lozano MD, Perez-Gracia JL, Velcheti V, Hellmann MD, Gainor JF, McEachern K, Jenkins D, Syrigos K, Politi K, Gettinger S, Rimm DL, Herbst RS, Melero I, Chen L, Schalper KA. Expression Analysis and Significance of PD-1, LAG-3, and TIM-3 in Human Non–Small Cell Lung Cancer Using Spatially Resolved and Multiparametric Single-Cell Analysis. Clinical Cancer Research 2019, 25: 4663-4673. PMID: 31053602, PMCID: PMC7444693, DOI: 10.1158/1078-0432.ccr-18-4142.Peer-Reviewed Original ResearchMeSH KeywordsAntigens, CDBiomarkers, TumorCarcinoma, Non-Small-Cell LungGene Expression Regulation, NeoplasticHepatitis A Virus Cellular Receptor 2HumansLung NeoplasmsLymphocyte ActivationLymphocyte Activation Gene 3 ProteinLymphocytes, Tumor-InfiltratingPrognosisProgrammed Cell Death 1 ReceptorRetrospective StudiesSingle-Cell AnalysisSurvival RateConceptsNon-small cell lung cancerHuman non-small cell lung cancerTumor-infiltrating lymphocytesAdvanced non-small cell lung cancerTim-3PD-1Cell lung cancerLAG-3Lung cancerPD-1 axis blockadeShorter progression-free survivalBaseline samplesTim-3 protein expressionMajor clinicopathologic variablesMultiplexed quantitative immunofluorescencePD-1 expressionProgression-free survivalTim-3 expressionLAG-3 expressionT-cell phenotypeTumor mutational burdenImmune inhibitory receptorsImmune evasion pathwaysTIM-3 proteinMass cytometry analysis
2018
Tumor-specific MHC-II expression drives a unique pattern of resistance to immunotherapy via LAG-3/FCRL6 engagement
Johnson DB, Nixon MJ, Wang Y, Wang DY, Castellanos E, Estrada MV, Ericsson-Gonzalez PI, Cote CH, Salgado R, Sanchez V, Dean PT, Opalenik SR, Schreeder DM, Rimm DL, Kim JY, Bordeaux J, Loi S, Horn L, Sanders ME, Ferrell PB, Xu Y, Sosman JA, Davis RS, Balko JM. Tumor-specific MHC-II expression drives a unique pattern of resistance to immunotherapy via LAG-3/FCRL6 engagement. JCI Insight 2018, 3: e120360. PMID: 30568030, PMCID: PMC6338319, DOI: 10.1172/jci.insight.120360.Peer-Reviewed Original ResearchMeSH KeywordsAdaptive ImmunityAnimalsAntibodies, NeutralizingAntigens, CDBreast NeoplasmsCD4-Positive T-LymphocytesCell Line, TumorHistocompatibility Antigens Class IIHLA-DR AntigensHumansImmunotherapyKiller Cells, NaturalLigandsLymphocyte Activation Gene 3 ProteinMiceProgrammed Cell Death 1 ReceptorReceptors, Antigen, T-CellReceptors, Cell SurfaceT-LymphocytesTumor MicroenvironmentConceptsMHC-II expressionT cellsAnti-PD-1 therapyTumor cellsPD-1 pathwayTumor-intrinsic factorsPD-1-targeted immunotherapiesMHC-II receptorsDurable responsesPD-1Immune activationImmunotherapy targetPreclinical modelsLAG-3TumorsUnique patternMHCEnhanced expressionInhibitory functionAdaptive resistanceNovel inhibitory functionImmunotherapyPatientsContext-dependent mechanismsCellsQuantitative Spatial Profiling of PD-1/PD-L1 Interaction and HLA-DR/IDO-1 Predicts Improved Outcomes of Anti–PD-1 Therapies in Metastatic Melanoma
Johnson DB, Bordeaux J, Kim J, Vaupel C, Rimm DL, Ho TH, Joseph RW, Daud AI, Conry RM, Gaughan EM, Hernandez-Aya LF, Dimou A, Funchain P, Smithy J, Witte JS, McKee SB, Ko J, Wrangle J, Dabbas B, Tangri S, Lameh J, Hall J, Markowitz J, Balko JM, Dakappagari N. Quantitative Spatial Profiling of PD-1/PD-L1 Interaction and HLA-DR/IDO-1 Predicts Improved Outcomes of Anti–PD-1 Therapies in Metastatic Melanoma. Clinical Cancer Research 2018, 24: 5250-5260. PMID: 30021908, PMCID: PMC6214750, DOI: 10.1158/1078-0432.ccr-18-0309.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAntineoplastic Agents, ImmunologicalB7-H1 AntigenBiomarkers, TumorBiopsyCell Line, TumorFemaleHLA-DR AntigensHumansImmunohistochemistryIndoleamine-Pyrrole 2,3,-DioxygenaseMaleMelanomaMiddle AgedModels, BiologicalNeoplasm MetastasisNeoplasm StagingPrognosisProgrammed Cell Death 1 ReceptorProtein BindingRetreatmentTreatment OutcomeConceptsAnti-PD-1 responseHLA-DRValidation cohortPD-1/PD-L1PD-1 blockersPD-1 monotherapyPD-L1 expressionPretreatment tumor biopsiesProgression-free survivalSubset of patientsAcademic cancer centerBiomarkers of responseIndependent validation cohortClin Cancer ResImmunosuppression mechanismsClinical responseOverall survivalPD-L1Melanoma patientsCancer CenterTreatment outcomesTumor biopsiesDiscovery cohortPatientsIndividual biomarkersA dormant TIL phenotype defines non-small cell lung carcinomas sensitive to immune checkpoint blockers
Gettinger SN, Choi J, Mani N, Sanmamed MF, Datar I, Sowell R, Du VY, Kaftan E, Goldberg S, Dong W, Zelterman D, Politi K, Kavathas P, Kaech S, Yu X, Zhao H, Schlessinger J, Lifton R, Rimm DL, Chen L, Herbst RS, Schalper KA. A dormant TIL phenotype defines non-small cell lung carcinomas sensitive to immune checkpoint blockers. Nature Communications 2018, 9: 3196. PMID: 30097571, PMCID: PMC6086912, DOI: 10.1038/s41467-018-05032-8.Peer-Reviewed Original ResearchMeSH KeywordsAmino Acid SequenceAnimalsAntibodies, BlockingCarcinogenesisCarcinoma, Non-Small-Cell LungCell ProliferationCytotoxicity, ImmunologicHistocompatibility Antigens Class IHumansLung NeoplasmsLymphocyte ActivationLymphocytes, Tumor-InfiltratingMaleMice, Inbred NODMice, SCIDMutant ProteinsMutationPeptidesPhenotypeProgrammed Cell Death 1 ReceptorReproducibility of ResultsSurvival AnalysisTobaccoConceptsImmune checkpoint blockersCheckpoint blockersQuantitative immunofluorescenceNon-small cell lung carcinoma patientsCell lung carcinoma patientsNon-small cell lung carcinomaPatient-derived xenograft modelsIntratumoral T cellsMultiplexed quantitative immunofluorescencePD-1 blockadeLevels of CD3Lung carcinoma patientsCell lung carcinomaT cell proliferationPre-treatment samplesTIL phenotypeSurvival benefitCarcinoma patientsEffector capacityLung carcinomaT cellsWhole-exome DNA sequencingXenograft modelFavorable responseBlockersExceptional Response to Pembrolizumab in a Metastatic, Chemotherapy/Radiation-Resistant Ovarian Cancer Patient Harboring a PD-L1-Genetic Rearrangement
Bellone S, Buza N, Choi J, Zammataro L, Gay L, Elvin J, Rimm DL, Liu Y, Ratner E, Schwartz PE, Santin AD. Exceptional Response to Pembrolizumab in a Metastatic, Chemotherapy/Radiation-Resistant Ovarian Cancer Patient Harboring a PD-L1-Genetic Rearrangement. Clinical Cancer Research 2018, 24: 3282-3291. PMID: 29351920, PMCID: PMC6050068, DOI: 10.1158/1078-0432.ccr-17-1805.Peer-Reviewed Original ResearchMeSH KeywordsAged, 80 and overAntibodies, Monoclonal, HumanizedAntineoplastic Agents, ImmunologicalB7-H1 AntigenBiomarkers, TumorBiopsyComputational BiologyDrug Resistance, NeoplasmExome SequencingFemaleGene RearrangementHLA AntigensHumansMolecular Targeted TherapyMutationOvarian NeoplasmsPositron Emission Tomography Computed TomographyProgrammed Cell Death 1 ReceptorReceptors, Cell SurfaceRetreatmentT-LymphocytesTreatment OutcomeConceptsImmune checkpoint inhibitor pembrolizumabCheckpoint inhibitor pembrolizumabComplete clinical responseClinical responsePD-L1Ovarian carcinomaAberrant PD-L1 expressionPD-L1 surface expressionAnti-PD1 inhibitorsPD-L1 expressionRemarkable clinical responsesHigh-grade ovarian carcinomaStandard treatment modalityAlternative therapeutic optionClear cell featuresNovel treatment optionsSignificant side effectsT-cell lymphocytesWhole exome sequencing techniqueClin Cancer ResMetastatic human tumorsRecurrent diseaseComplete responseHeavy infiltrationTherapeutic options
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 rateNuclear IRF-1 expression as a mechanism to assess “Capability” to express PD-L1 and response to PD-1 therapy in metastatic melanoma
Smithy JW, Moore LM, Pelekanou V, Rehman J, Gaule P, Wong PF, Neumeister VM, Sznol M, Kluger HM, Rimm DL. Nuclear IRF-1 expression as a mechanism to assess “Capability” to express PD-L1 and response to PD-1 therapy in metastatic melanoma. Journal For ImmunoTherapy Of Cancer 2017, 5: 25. PMID: 28331615, PMCID: PMC5359951, DOI: 10.1186/s40425-017-0229-2.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAntibodies, MonoclonalAntibodies, Monoclonal, HumanizedB7-H1 AntigenBiomarkers, PharmacologicalDisease-Free SurvivalFemaleGene Expression Regulation, NeoplasticHumansImmunotherapyInterferon Regulatory Factor-1IpilimumabMaleMelanomaMiddle AgedNeoplasm MetastasisNeoplasms, Second PrimaryNivolumabProgrammed Cell Death 1 ReceptorConceptsProgression-free survivalObjective radiographic responsePD-L1 expressionPD-L1IRF-1 expressionMetastatic melanomaAnti-PD-1 therapyCombination ipilimumab/nivolumabHigh PD-L1 expressionAnti-PD-1 immunotherapyYale-New Haven HospitalIpilimumab/nivolumabPD-1 therapyPR/CRPre-treatment formalinRECIST v1.1 criteriaDeath ligand 1Valuable predictive biomarkerMajor unmet needNew Haven HospitalInterferon regulatory factor 1Combination ipilimumabProgressive diseaseRadiographic responseComplete response
2016
Quantitative and pathologist-read comparison of the heterogeneity of programmed death-ligand 1 (PD-L1) expression in non-small cell lung cancer
Rehman JA, Han G, Carvajal-Hausdorf DE, Wasserman BE, Pelekanou V, Mani NL, McLaughlin J, Schalper KA, Rimm DL. Quantitative and pathologist-read comparison of the heterogeneity of programmed death-ligand 1 (PD-L1) expression in non-small cell lung cancer. Modern Pathology 2016, 30: 340-349. PMID: 27834350, PMCID: PMC5334264, DOI: 10.1038/modpathol.2016.186.Peer-Reviewed Original ResearchMeSH KeywordsAgedCarcinoma, Non-Small-Cell LungFemaleHumansImmunohistochemistryLung NeoplasmsMaleProgrammed Cell Death 1 ReceptorReproducibility of ResultsConceptsPD-L1 expressionPD-L1Immune cellsImmune cell PD-L1 expressionNon-small cell lung cancerNon-small cell lung cancer (NSCLC) casesCell lung cancer casesTumor cellsPD-L1 assessmentStromal immune cellsPD-L1 positivityCell lung cancerLung cancer patientsLung cancer casesRepresentative tumor areasPathologist scoresLikelihood of responseConcordance correlation coefficientRabbit monoclonal antibodyIntraclass correlation coefficientCancer patientsLung cancerImmunohistochemistry slidesCancer casesTumor tissueRAS/MAPK Activation Is Associated with Reduced Tumor-Infiltrating Lymphocytes in Triple-Negative Breast Cancer: Therapeutic Cooperation Between MEK and PD-1/PD-L1 Immune Checkpoint Inhibitors
Loi S, Dushyanthen S, Beavis PA, Salgado R, Denkert C, Savas P, Combs S, Rimm DL, Giltnane JM, Estrada MV, Sánchez V, Sanders ME, Cook RS, Pilkinton MA, Mallal SA, Wang K, Miller VA, Stephens PJ, Yelensky R, Doimi FD, Gómez H, Ryzhov SV, Darcy PK, Arteaga CL, Balko JM. RAS/MAPK Activation Is Associated with Reduced Tumor-Infiltrating Lymphocytes in Triple-Negative Breast Cancer: Therapeutic Cooperation Between MEK and PD-1/PD-L1 Immune Checkpoint Inhibitors. Clinical Cancer Research 2016, 22: 1499-1509. PMID: 26515496, PMCID: PMC4794351, DOI: 10.1158/1078-0432.ccr-15-1125.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsB7-H1 AntigenBiomarkersCell Line, TumorDisease Models, AnimalDisease ProgressionFemaleGene Expression ProfilingHumansImmunomodulationImmunophenotypingLymphocytes, Tumor-InfiltratingMiceMitogen-Activated Protein KinasesMortalityPhenotypeProgrammed Cell Death 1 ReceptorProtein Kinase InhibitorsRas ProteinsSignal TransductionTranscriptomeTriple Negative Breast NeoplasmsConceptsTriple-negative breast cancerTumor-infiltrating lymphocytesImmune checkpoint inhibitorsResidual diseaseNeoadjuvant chemotherapyBreast cancerPD-L1Checkpoint inhibitorsMHC expressionMouse modelPD-1/PD-L1 immune checkpoint inhibitorsPD-L1 immune checkpoint inhibitorsPresence of TILsPD-1/PD-L1Low tumor-infiltrating lymphocytesPD-L1/PDAntitumor immune responseRAS/MAPK activationCell-surface MHC expressionMAPK activationImproved survivalImproved prognosisPredictive biomarkersClinical trialsImmune response