2023
Genomic and transcriptomic analysis of checkpoint blockade response in advanced non-small cell lung cancer
Ravi A, Hellmann M, Arniella M, Holton M, Freeman S, Naranbhai V, Stewart C, Leshchiner I, Kim J, Akiyama Y, Griffin A, Vokes N, Sakhi M, Kamesan V, Rizvi H, Ricciuti B, Forde P, Anagnostou V, Riess J, Gibbons D, Pennell N, Velcheti V, Digumarthy S, Mino-Kenudson M, Califano A, Heymach J, Herbst R, Brahmer J, Schalper K, Velculescu V, Henick B, Rizvi N, Jänne P, Awad M, Chow A, Greenbaum B, Luksza M, Shaw A, Wolchok J, Hacohen N, Getz G, Gainor J. Genomic and transcriptomic analysis of checkpoint blockade response in advanced non-small cell lung cancer. Nature Genetics 2023, 55: 807-819. PMID: 37024582, PMCID: PMC10181943, DOI: 10.1038/s41588-023-01355-5.Peer-Reviewed Original ResearchMeSH KeywordsCarcinoma, Non-Small-Cell LungGenomicsHumansLung NeoplasmsProgrammed Cell Death 1 ReceptorTranscriptomeConceptsNon-small cell lung cancerAdvanced non-small cell lung cancerCell lung cancerLung cancerAnti-PD-1/PD-L1 agentsCheckpoint blockade responsePD-L1 agentsTumor intrinsic subtypesCheckpoint inhibitorsCheckpoint blockadeTreatment landscapeImmunotherapy outcomesBlockade responseCohortBiological determinantsGenomic subgroupsEnhanced responseMolecular featuresWhole exomeCancerProminent associationOutcomesAssociationResponseNumber of associations
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 heterogeneityMaximizing the value of phase III trials in immuno-oncology: A checklist from the Society for Immunotherapy of Cancer (SITC)
Atkins MB, Abu-Sbeih H, Ascierto PA, Bishop MR, Chen DS, Dhodapkar M, Emens LA, Ernstoff MS, Ferris RL, Greten TF, Gulley JL, Herbst RS, Humphrey RW, Larkin J, Margolin KA, Mazzarella L, Ramalingam SS, Regan MM, Rini BI, Sznol M. Maximizing the value of phase III trials in immuno-oncology: A checklist from the Society for Immunotherapy of Cancer (SITC). Journal For ImmunoTherapy Of Cancer 2022, 10: e005413. PMID: 36175037, PMCID: PMC9528604, DOI: 10.1136/jitc-2022-005413.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsChecklistClinical Trials as TopicImmune Checkpoint InhibitorsImmunologic FactorsImmunotherapyLigandsNeoplasmsProgrammed Cell Death 1 ReceptorConceptsPhase III trialsImmunotherapy of cancerIII trialsCurative responseImmune checkpoint inhibitor monotherapyCell death protein 1Checkpoint inhibitor monotherapyDefinitive predictive biomarkersDurable clinical benefitProgression-free survivalMinority of patientsDeath protein 1Variety of indicationsClinical trial designAnimal tumor modelsLimited Phase IDrug development programsImmunotherapy combinationsInvestigational chemotherapyImmunotherapy fieldInhibitor monotherapyOverall survivalDismal prognosisClinical benefitSurvival outcomesSpatially resolved proteomic profiling identifies tumor cell CD44 as a biomarker associated with sensitivity to PD-1 axis blockade in advanced non-small-cell lung cancer
Moutafi MK, Molero M, Morilla S, Baena J, Vathiotis IA, Gavrielatou N, Castro-Labrador L, de Garibay GR, Adradas V, Orive D, Valencia K, Calvo A, Montuenga LM, Aix S, Schalper KA, Herbst RS, Paz-Ares L, Rimm DL, Zugazagoitia J. Spatially resolved proteomic profiling identifies tumor cell CD44 as a biomarker associated with sensitivity to PD-1 axis blockade in advanced non-small-cell lung cancer. Journal For ImmunoTherapy Of Cancer 2022, 10: e004757. PMID: 36002182, PMCID: PMC9413286, DOI: 10.1136/jitc-2022-004757.Peer-Reviewed Original ResearchMeSH KeywordsB7-H1 AntigenBiomarkers, TumorCarcinoma, Non-Small-Cell LungHumansHyaluronan ReceptorsLung NeoplasmsProgrammed Cell Death 1 ReceptorProteomicsConceptsProgression-free survivalPD-1 axis blockadePD-1 axis inhibitorsTumor proportion scoreCell lung cancerAxis blockadeQuantitative immunofluorescenceAxis inhibitionLung cancerCD44 levelsCD44 expressionTumor compartmentsLonger progression-free survivalAbsence of immunotherapyYale Cancer CenterWhole tissue sectionsQIF scoresExternal independent validationMost patientsOverall survivalTim-3Immune compartmentImmunotherapy strategiesPD-L1Untreated cohortAddressing CPI resistance in NSCLC: targeting TAM receptors to modulate the tumor microenvironment and future prospects
Peters S, Paz-Ares L, Herbst RS, Reck M. Addressing CPI resistance in NSCLC: targeting TAM receptors to modulate the tumor microenvironment and future prospects. Journal For ImmunoTherapy Of Cancer 2022, 10: e004863. PMID: 35858709, PMCID: PMC9305809, DOI: 10.1136/jitc-2022-004863.Peer-Reviewed Original ResearchMeSH KeywordsCarcinoma, Non-Small-Cell LungC-Mer Tyrosine KinaseHumansLung NeoplasmsProgrammed Cell Death 1 ReceptorTumor MicroenvironmentConceptsImmunosuppressive tumor microenvironmentCheckpoint inhibitorsTAM receptorsImmune responseTumor microenvironmentOverall survivalLung cancerStandard first-line therapyLong-term clinical responseCell death protein 1Immunostimulatory tumor microenvironmentImmune checkpoint inhibitorsInhibitor-based regimensFirst-line therapyAntitumor immune responseDeath protein 1Cell lung cancerPatients' overall survivalStrong biological rationaleNew treatment approachesLong-term survivalActivation of Tyro3Majority of casesCPI therapyAdvanced NSCLCRole of tumor infiltrating lymphocytes and spatial immune heterogeneity in sensitivity to PD-1 axis blockers in non-small cell lung cancer
de Rodas M, Nagineni V, Ravi A, Datar IJ, Mino-Kenudson M, Corredor G, Barrera C, Behlman L, Rimm DL, Herbst RS, Madabhushi A, Riess JW, Velcheti V, Hellmann MD, Gainor J, Schalper KA. Role of tumor infiltrating lymphocytes and spatial immune heterogeneity in sensitivity to PD-1 axis blockers in non-small cell lung cancer. Journal For ImmunoTherapy Of Cancer 2022, 10: e004440. PMID: 35649657, PMCID: PMC9161072, DOI: 10.1136/jitc-2021-004440.Peer-Reviewed Original ResearchMeSH KeywordsB7-H1 AntigenCarcinoma, Non-Small-Cell LungCD8-Positive T-LymphocytesHumansLung NeoplasmsLymphocytes, Tumor-InfiltratingProgrammed Cell Death 1 ReceptorConceptsNon-small cell lung cancerImmune checkpoint inhibitorsT-cell immunoglobulin mucin-3Cell lung cancerCytotoxic T cellsT cellsImmune heterogeneityLung cancerT cell exhaustion marker expressionPD-L1 positive patientsT cell exhaustion markersAdaptive antitumor immune responsesCell death protein 1Baseline tumor samplesExhaustion marker expressionIndependent NSCLC cohortsTumor immune heterogeneityT-cell densityAntitumor immune responseT cell infiltrationDeath protein 1Multi-institutional cohortActivation gene-3Helper T cellsRole of tumorQuantitative assessment of Siglec-15 expression in lung, breast, head, and neck squamous cell carcinoma and bladder cancer
Shafi S, Aung TN, Xirou V, Gavrielatou N, Vathiotis IA, Fernandez A, Moutafi M, Yaghoobi V, Herbst RS, Liu LN, Langermann S, Rimm DL. 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: 35581307, PMCID: PMC10211373, 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 heterogeneity
2021
Selecting the optimal immunotherapy regimen in driver-negative metastatic NSCLC
Grant MJ, Herbst RS, Goldberg SB. Selecting the optimal immunotherapy regimen in driver-negative metastatic NSCLC. Nature Reviews Clinical Oncology 2021, 18: 625-644. PMID: 34168333, DOI: 10.1038/s41571-021-00520-1.Peer-Reviewed Original ResearchMeSH KeywordsAntibodies, MonoclonalCarcinoma, Non-Small-Cell LungHumansImmunotherapyLung NeoplasmsMolecular Targeted TherapyProgrammed Cell Death 1 ReceptorConceptsSubset of patientsTreatment landscapeRegimen selectionTumor cell PD-L1 expressionChemotherapy-immunotherapy combinationsImmune checkpoint inhibitorsTreatment-naive patientsFirst-line therapyPD-L1 expressionCurrent treatment landscapeCell lung cancerAbsence of headCurrent treatment paradigmsPivotal clinical trialsLong-term efficacyNovel therapeutic strategiesImmunotherapy regimenMetastatic NSCLCImmunotherapeutic strategiesClinicopathological factorsPD-1PD-L1Durable efficacyHistological subtypesLung cancer
2020
Biomarkers 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 microarrayPD-1/PD-L1 Blockers in NSCLC Brain Metastases: Challenging Paradigms and Clinical Practice
Eguren-Santamaria I, Sanmamed MF, Goldberg SB, Kluger HM, Idoate MA, Lu B, Corral J, Schalper KA, Herbst RS, Gil-Bazo I. PD-1/PD-L1 Blockers in NSCLC Brain Metastases: Challenging Paradigms and Clinical Practice. Clinical Cancer Research 2020, 26: 4186-4197. PMID: 32354698, DOI: 10.1158/1078-0432.ccr-20-0798.Peer-Reviewed Original ResearchMeSH KeywordsB7-H1 AntigenBrain NeoplasmsCarcinoma, Non-Small-Cell LungCentral Nervous System NeoplasmsHumansImmune Checkpoint InhibitorsNeoplasm MetastasisProgrammed Cell Death 1 ReceptorConceptsNon-small cell lung cancerImmune checkpoint inhibitorsAnti-PD-1/PD-L1 antibodiesAdvanced non-small cell lung cancerNSCLC brain metastasesBrain metastasesPD-L1 antibodiesAnti-PD-1/PD-L1 agentsPD-1/PD-L1 blockersActive central nervous system (CNS) involvementHigh PD-L1 expressionAnti-PD-1/PD-L1 drugsCentral nervous system involvementPivotal phase III trialsActive brain metastasesCNS response ratesPD-L1 agentsPD-L1 blockersSystemic therapy combinationsNervous system involvementPD-L1 expressionPhase III trialsSubset of patientsCell lung cancerPD-L1 drugsImmune 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
Systematic Immunotherapy Target Discovery Using Genome-Scale In Vivo CRISPR Screens in CD8 T Cells
Dong MB, Wang G, Chow RD, Ye L, Zhu L, Dai X, Park JJ, Kim HR, Errami Y, Guzman CD, Zhou X, Chen KY, Renauer PA, Du Y, Shen J, Lam SZ, Zhou JJ, Lannin DR, Herbst RS, Chen S. Systematic Immunotherapy Target Discovery Using Genome-Scale In Vivo CRISPR Screens in CD8 T Cells. Cell 2019, 178: 1189-1204.e23. PMID: 31442407, PMCID: PMC6719679, DOI: 10.1016/j.cell.2019.07.044.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsBreast NeoplasmsCD8-Positive T-LymphocytesCell Line, TumorClustered Regularly Interspaced Short Palindromic RepeatsCytokinesFemaleHumansImmunologic MemoryImmunotherapyMaleMiceMice, KnockoutNF-kappa BProgrammed Cell Death 1 ReceptorRNA HelicasesRNA, Guide, CRISPR-Cas SystemsTranscriptomeConceptsCRISPR screensTarget discoveryGenome-scale CRISPR screensCD8 TRNA helicase DHX37Vivo CRISPR screensGenetic screenGenome scaleTranscriptomic profilingBiochemical interrogationAntigen-specific CD8 TAnti-tumor immune responseFunctional regulatorTriple-negative breast cancerDHX37Essential roleTim-3PD-1Cytokine productionTumor infiltrationImmunotherapy targetImmunotherapy settingsRegulatorBreast cancerT cellsExpression 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 analysisEGFR mutation subtypes and response to immune checkpoint blockade treatment in non-small-cell lung cancer
Hastings K, Yu HA, Wei W, Sanchez-Vega F, DeVeaux M, Choi J, Rizvi H, Lisberg A, Truini A, Lydon CA, Liu Z, Henick BS, Wurtz A, Cai G, Plodkowski AJ, Long NM, Halpenny DF, Killam J, Oliva I, Schultz N, Riely GJ, Arcila ME, Ladanyi M, Zelterman D, Herbst RS, Goldberg SB, Awad MM, Garon EB, Gettinger S, Hellmann MD, Politi K. EGFR mutation subtypes and response to immune checkpoint blockade treatment in non-small-cell lung cancer. Annals Of Oncology 2019, 30: 1311-1320. PMID: 31086949, PMCID: PMC6683857, DOI: 10.1093/annonc/mdz141.Peer-Reviewed Original ResearchMeSH KeywordsAgedAllelesAntineoplastic Agents, ImmunologicalB7-H1 AntigenBiomarkers, TumorCarcinoma, Non-Small-Cell LungDrug Resistance, NeoplasmErbB ReceptorsFemaleGenetic HeterogeneityHumansLungLung NeoplasmsMaleMiddle AgedMutationProgrammed Cell Death 1 ReceptorProgression-Free SurvivalRetrospective StudiesTobacco SmokingConceptsEGFR-mutant tumorsMemorial Sloan-Kettering Cancer CenterYale Cancer CenterImmune checkpoint inhibitorsPD-L1 expressionImmune checkpoint blockadeTumor mutation burdenCancer CenterLung tumorsCheckpoint blockadeEGFR mutant lung tumorsMutant tumorsCheckpoint inhibitorsLung cancerMutation burdenImmune checkpoint blockade treatmentLow tumor mutation burdenDana-Farber Cancer InstituteEGFR wild-type lung cancersCheckpoint blockade treatmentCell lung cancerEGFR mutation subtypesSimilar smoking historyCell death 1Lung cancer casesThe Combination of MEK Inhibitor With Immunomodulatory Antibodies Targeting Programmed Death 1 and Programmed Death Ligand 1 Results in Prolonged Survival in Kras/p53-Driven Lung Cancer
Lee JW, Zhang Y, Eoh KJ, Sharma R, Sanmamed MF, Wu J, Choi J, Park HS, Iwasaki A, Kaftan E, Chen L, Papadimitrakopoulou V, Herbst RS, Koo JS. The Combination of MEK Inhibitor With Immunomodulatory Antibodies Targeting Programmed Death 1 and Programmed Death Ligand 1 Results in Prolonged Survival in Kras/p53-Driven Lung Cancer. Journal Of Thoracic Oncology 2019, 14: 1046-1060. PMID: 30771521, PMCID: PMC6542636, DOI: 10.1016/j.jtho.2019.02.004.Peer-Reviewed Original ResearchMeSH KeywordsAdenocarcinoma of LungAnimalsAntineoplastic Agents, ImmunologicalAntineoplastic Combined Chemotherapy ProtocolsB7-H1 AntigenDrug SynergismFemaleLung NeoplasmsMAP Kinase Kinase KinasesMiceMice, KnockoutMice, TransgenicMyeloid-Derived Suppressor CellsProgrammed Cell Death 1 ReceptorProtein Kinase InhibitorsProto-Oncogene Proteins p21(ras)PyridonesPyrimidinonesSurvival AnalysisTumor Suppressor Protein p53ConceptsImmune cell populationsLung tumorsMEK inhibitorsDeath-1Survival outcomesLung cancerL1 mAbsTumor-infiltrating immune cell populationsTumor-infiltrating immune cellsCell death ligand 1Flow cytometryLung cancer mouse modelAdenoviral Cre recombinaseAutochthonous lung tumorsImmunomodulatory monoclonal antibodiesTumor-infiltrating CD8PD-L1 expressionSingle-agent therapyTumor-bearing lungsDeath ligand 1Tumor-free miceLung cancer modelCombinatorial antitumor effectCancer mouse modelCell populationsHealth-Related Quality of Life in KEYNOTE-010: a Phase II/III Study of Pembrolizumab Versus Docetaxel in Patients With Previously Treated Advanced, Programmed Death Ligand 1–Expressing NSCLC
Barlesi F, Garon E, Kim D, Felip E, Han J, Kim J, Ahn M, Fidler M, Gubens M, de Castro G, Surmont V, Li Q, Deitz A, Lubiniecki G, Herbst R. Health-Related Quality of Life in KEYNOTE-010: a Phase II/III Study of Pembrolizumab Versus Docetaxel in Patients With Previously Treated Advanced, Programmed Death Ligand 1–Expressing NSCLC. Journal Of Thoracic Oncology 2019, 14: 793-801. PMID: 30711649, DOI: 10.1016/j.jtho.2019.01.016.Peer-Reviewed Original ResearchConceptsGlobal health statusDeath ligand 1Composite endpointPhase II/III studyGHS/QoL scoresLife Questionnaire Core 30Programmed Death Ligand 1Symptom domainsNSCLC patient populationPembrolizumab-treated patientsWeek 12 changesHealth-related qualityLigand 1Quality of lifeGHS/KEYNOTE-010Advanced NSCLCChest painIII studyOverall survivalCancer QualityEuroQol-5D.Life scoresMean baselinePatient population
2018
A 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 responseBlockersDefining and Understanding Adaptive Resistance in Cancer Immunotherapy
Kim TK, Herbst RS, Chen L. Defining and Understanding Adaptive Resistance in Cancer Immunotherapy. Trends In Immunology 2018, 39: 624-631. PMID: 29802087, PMCID: PMC6066429, DOI: 10.1016/j.it.2018.05.001.Peer-Reviewed Original ResearchMeSH KeywordsAdaptive ImmunityAntibodies, MonoclonalB7-H1 AntigenDrug ResistanceImmunotherapyNeoplasmsProgrammed Cell Death 1 ReceptorTumor EscapeTumor MicroenvironmentConceptsAnti-PD therapyLong-term survival benefitAvailable treatment regimensFraction of respondersSurvival benefitTumor immunityTumor-immune interactionsAdvanced cancerTreatment regimensCancer immunotherapyTumor regressionTherapyAccurate tissueSuch treatmentAdaptive resistancePatientsMolecular mechanismsTrue resistanceImmunotherapyRegimensRight targetCancerRespondersImmunityAppropriate interpretationEarly Assessment of Lung Cancer Immunotherapy Response via Circulating Tumor DNA
Goldberg SB, Narayan A, Kole AJ, Decker RH, Teysir J, Carriero NJ, Lee A, Nemati R, Nath SK, Mane SM, Deng Y, Sukumar N, Zelterman D, Boffa DJ, Politi K, Gettinger S, Wilson LD, Herbst RS, Patel AA. Early Assessment of Lung Cancer Immunotherapy Response via Circulating Tumor DNA. Clinical Cancer Research 2018, 24: 1872-1880. PMID: 29330207, PMCID: PMC5899677, DOI: 10.1158/1078-0432.ccr-17-1341.Peer-Reviewed Original ResearchConceptsNon-small cell lung cancerImmune checkpoint inhibitorsCtDNA responseCheckpoint inhibitorsCtDNA levelsMetastatic non-small cell lung cancerImmune checkpoint inhibitor therapySuperior progression-free survivalRadiographic tumor sizeCheckpoint inhibitor therapyProgression-free survivalSuperior overall survivalTumor DNA levelsCell lung cancerAllele fractionClin Cancer ResMultigene next-generation sequencingMutant allele fractionTumor cell deathInhibitor therapyOverall survivalRadiographic responseImmunotherapy efficacyImmunotherapy responseMedian timeSpatially Resolved and Quantitative Analysis of VISTA/PD-1H as a Novel Immunotherapy Target in Human Non–Small Cell Lung Cancer
Villarroel-Espindola F, Yu X, Datar I, Mani N, Sanmamed M, Velcheti V, Syrigos K, Toki M, Zhao H, Chen L, Herbst RS, Schalper KA. Spatially Resolved and Quantitative Analysis of VISTA/PD-1H as a Novel Immunotherapy Target in Human Non–Small Cell Lung Cancer. Clinical Cancer Research 2018, 24: 1562-1573. PMID: 29203588, PMCID: PMC5884702, DOI: 10.1158/1078-0432.ccr-17-2542.Peer-Reviewed Original ResearchMeSH KeywordsAgedAntigens, CDAntigens, Differentiation, MyelomonocyticB7 AntigensB7-H1 AntigenBiomarkers, TumorCarcinoma, Non-Small-Cell LungCD8-Positive T-LymphocytesEvaluation Studies as TopicFemaleGene Expression Regulation, NeoplasticHumansImmunologic FactorsImmunotherapyLung NeoplasmsMaleMembrane ProteinsMutationProgrammed Cell Death 1 ReceptorRetrospective StudiesConceptsNon-small cell lung cancerHuman non-small cell lung cancerT helper cellsCytotoxic T cellsT cellsPD-1Localized expression patternQuantitative immunofluorescenceTumor-infiltrating lymphocytesCell lung cancerLung cancer casesGenomic analysisTissue microarray formatTumor-associated macrophagesPD-L1 proteinCytoplasmic staining patternClin Cancer ResExpression patternsLow mutational burdenTumor epithelial cellsSpecific genomic alterationsVISTA expressionVISTA proteinPD-L1Immunomodulatory role