2020
A prognostic model for overall survival of patients with early-stage non-small cell lung cancer: a multicentre, retrospective study
Lu C, Bera K, Wang X, Prasanna P, Xu J, Janowczyk A, Beig N, Yang M, Fu P, Lewis J, Choi H, Schmid RA, Berezowska S, Schalper K, Rimm D, Velcheti V, Madabhushi A. A prognostic model for overall survival of patients with early-stage non-small cell lung cancer: a multicentre, retrospective study. The Lancet Digital Health 2020, 2: e594-e606. PMID: 33163952, PMCID: PMC7646741, DOI: 10.1016/s2589-7500(20)30225-9.Peer-Reviewed Original ResearchConceptsNon-small cell lung carcinomaEarly-stage non-small cell lung carcinomaOverall survivalRetrospective studyEarly-stage non-small cell lung cancerNon-small cell lung cancerMultivariable Cox regression analysisCell differentiation pathwayCox proportional hazards modelLung squamous cell carcinomaEarly-stage LUADOverall survival informationCox regression analysisPrognosis of patientsCell lung cancerRisk stratification modelSquamous cell carcinomaLung cancer pathogenesisIndependent validation cohortCell lung carcinomaProportional hazards modelComputer-extracted featuresAdjuvant therapyDifferentiation pathwayValidation cohort
2019
A Multi-Institutional Study to Evaluate Automated Whole Slide Scoring of Immunohistochemistry for Assessment of Programmed Death-Ligand 1 (PD-L1) Expression in Non–Small Cell Lung Cancer
Taylor CR, Jadhav AP, Gholap A, Kamble G, Huang J, Gown A, Doshi I, Rimm DL. A Multi-Institutional Study to Evaluate Automated Whole Slide Scoring of Immunohistochemistry for Assessment of Programmed Death-Ligand 1 (PD-L1) Expression in Non–Small Cell Lung Cancer. Applied Immunohistochemistry & Molecular Morphology 2019, 27: 263-269. PMID: 30640753, DOI: 10.1097/pai.0000000000000737.Peer-Reviewed Original ResearchConceptsNon-small cell lung cancerCell lung cancerImmune cellsTumor cellsLin's concordance correlation coefficientLung cancerProgrammed Death Ligand 1 ExpressionDako Link 48 platformDeath ligand 1 (PD-L1) expressionNon-small cell lung carcinomaPD-L1 expressionPD-L1 immunohistochemistryImmune cell populationsImmune cell expressionCell lung carcinomaCell scoringMulti-institutional studyConcordance correlation coefficientImage analysis scoresPD-L1Cell positivityLung carcinomaPatient managementSlide scoringCell expression
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 responseBlockersMultiplexed analysis of myeloid cell (MC) markers to characterize the innate immune composition and clinical features of human non-small cell lung carcinomas (NSCLC).
Henick B, Datar I, Villarroel-Espindola F, Sanmamed M, Yu J, Tuktamyshov R, Li A, Toki M, Syrigos K, Rimm D, Chen L, Herbst R, Schalper K. Multiplexed analysis of myeloid cell (MC) markers to characterize the innate immune composition and clinical features of human non-small cell lung carcinomas (NSCLC). Journal Of Clinical Oncology 2018, 36: 12002-12002. DOI: 10.1200/jco.2018.36.15_suppl.12002.Peer-Reviewed Original Research
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
2013
Sarcomatoid Lung Carcinomas Show High Levels of Programmed Death Ligand-1 (PD-L1)
Velcheti V, Rimm DL, Schalper KA. Sarcomatoid Lung Carcinomas Show High Levels of Programmed Death Ligand-1 (PD-L1). Journal Of Thoracic Oncology 2013, 8: 803-805. PMID: 23676558, PMCID: PMC3703468, DOI: 10.1097/jto.0b013e318292be18.Peer-Reviewed Original ResearchConceptsDeath ligand 1Sarcomatoid carcinomaCell lung carcinomaLung carcinomaPD-L1PD-1/PD-L1 axisPD-1/PD-L1 pathwayProgrammed Death Ligand 1PD-L1 protein expressionEffector immune responsesPD-L1 axisPD-L1 pathwayLung sarcomatoid carcinomaLung cancer cohortSarcomatoid lung carcinomasLigand 1Mouse monoclonal antibodyDeath-1Lymphocytic infiltrationRare subtypeSuch therapyCancer cohortT cellsCarcinomaTumor typesHigh SOX2 Levels Predict Better Outcome in Non-Small Cell Lung Carcinomas
Velcheti V, Schalper K, Yao X, Cheng H, Kocoglu M, Dhodapkar K, Deng Y, Gettinger S, Rimm DL. High SOX2 Levels Predict Better Outcome in Non-Small Cell Lung Carcinomas. PLOS ONE 2013, 8: e61427. PMID: 23620753, PMCID: PMC3631238, DOI: 10.1371/journal.pone.0061427.Peer-Reviewed Original ResearchConceptsSquamous cell carcinomaLonger survivalTissue microarrayMultivariate analysisIndependent lung cancer cohortsIndependent positive prognostic markerSOX2 levelsNon-small cell lung carcinomaQuantitative immunofluorescenceLung squamous cell carcinomaSecond independent validation cohortSOX2 expressionHigh SOX2 levelsLog rank pSOX2 overexpressionPositive prognostic markerRisk of deathClinico-pathological characteristicsClinico-pathological variablesCox univariate analysisIndependent validation cohortCell lung carcinomaLung cancer cohortNSCLC patientsOverall survival
2009
Association of constitutively activated hepatocyte growth factor receptor (Met) with resistance to a dual EGFR/Her2 inhibitor in non-small-cell lung cancer cells
Agarwal S, Zerillo C, Kolmakova J, Christensen JG, Harris LN, Rimm DL, DiGiovanna MP, Stern DF. Association of constitutively activated hepatocyte growth factor receptor (Met) with resistance to a dual EGFR/Her2 inhibitor in non-small-cell lung cancer cells. British Journal Of Cancer 2009, 100: 941-949. PMID: 19240716, PMCID: PMC2661782, DOI: 10.1038/sj.bjc.6604937.Peer-Reviewed Original ResearchConceptsEpidermal growth factor receptorEGFR/HER2 inhibitorsNSCLC cell linesDual EGFR/HER2 inhibitorsGrowth factor receptorMET inhibitorsHER2 inhibitorsUse of EGFREGFR tyrosine kinase inhibitorsCell lung cancer cellsFactor receptorMajority of patientsTreatment of NSCLCCell lung carcinomaTyrosine kinase inhibitorsPotential therapeutic advantagesSubset of tumorsLung cancer cellsCell linesCurrent clinical useReceptor TKTumor cell growthHepatocyte growth factor receptorMaximal growth inhibitionImportant molecular target