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
International Association for the Study of Lung Cancer Study of Reproducibility in Assessment of Pathologic Response in Resected Lung Cancers After Neoadjuvant Therapy
Dacic S, Travis W, Redman M, Saqi A, Cooper W, Borczuk A, Chung J, Glass C, Lopez J, Roden A, Sholl L, Weissferdt A, Posadas J, Walker A, Zhu H, Wijeratne M, Connolly C, Wynes M, Bota-Rabassedas N, Sanchez-Espiridion B, Lee J, Berezowska S, Chou T, Kerr K, Nicholson A, Poleri C, Schalper K, Tsao M, Carbone D, Ready N, Cascone T, Heymach J, Sepesi B, Shu C, Rizvi N, Sonett J, Altorki N, Provencio M, Bunn P, Kris M, Belani C, Kelly K, Wistuba I, Committee I. International Association for the Study of Lung Cancer Study of Reproducibility in Assessment of Pathologic Response in Resected Lung Cancers After Neoadjuvant Therapy. Journal Of Thoracic Oncology 2023, 18: 1290-1302. PMID: 37702631, DOI: 10.1016/j.jtho.2023.07.017.Peer-Reviewed Original ResearchMeSH KeywordsCarcinoma, Non-Small-Cell LungHumansLungLung NeoplasmsNeoadjuvant TherapyReproducibility of ResultsConceptsPathologic responseViable tumorNeoadjuvant therapyLung cancerClinical trialsInter-rater agreementNeoadjuvant immune checkpoint inhibitorsClinical trial end pointsResected Lung CancerImmune checkpoint inhibitorsTrial end pointsInvasive mucinous adenocarcinomaResidual viable tumorTumor bed areaEosin-stained slidesLung cancer studiesCheckpoint inhibitorsNeoadjuvant treatmentMucinous adenocarcinomaPathologic evaluationStromal inflammationPulmonary pathologistsTumor bedLung tumorsCommon reasonAtezolizumab plus stereotactic ablative radiotherapy for medically inoperable patients with early-stage non-small cell lung cancer: a multi-institutional phase I trial
Monjazeb A, Daly M, Luxardi G, Maverakis E, Merleev A, Marusina A, Borowsky A, Mirhadi A, Shiao S, Beckett L, Chen S, Eastham D, Li T, Vick L, McGee H, Lara F, Garcia L, Morris L, Canter R, Riess J, Schalper K, Murphy W, Kelly K. Atezolizumab plus stereotactic ablative radiotherapy for medically inoperable patients with early-stage non-small cell lung cancer: a multi-institutional phase I trial. Nature Communications 2023, 14: 5332. PMID: 37658083, PMCID: PMC10474145, DOI: 10.1038/s41467-023-40813-w.Peer-Reviewed Original ResearchMeSH KeywordsCarcinoma, Non-Small-Cell LungHumansLung NeoplasmsRadiosurgerySmall Cell Lung CarcinomaConceptsNon-small cell lung cancerStereotactic ablative radiotherapyEarly-stage non-small cell lung cancerCell lung cancerAblative radiotherapyLung cancerMulti-institutional phase I trialSingle-arm phase IThird of patientsPhase I trialEx vivo stimulationT cell activationInoperable patientsPrimary endpointSecondary endpointsEfficacy signalsI trialT cellsAdaptive immunityCell activationPatientsPhase IPhase IIIEarly responseAtezolizumabNeuroendocrine lineage commitment of small cell lung cancers can be leveraged into p53-independent non-cytotoxic therapy
Biswas S, Kang K, Ng K, Radivoyevitch T, Schalper K, Zhang H, Lindner D, Thomas A, MacPherson D, Gastman B, Schrump D, Wong K, Velcheti V, Saunthararajah Y. Neuroendocrine lineage commitment of small cell lung cancers can be leveraged into p53-independent non-cytotoxic therapy. Cell Reports 2023, 42: 113016. PMID: 37597186, PMCID: PMC10528072, DOI: 10.1016/j.celrep.2023.113016.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsCell CycleCell DivisionLung NeoplasmsMiceSmall Cell Lung CarcinomaTumor Suppressor Protein p53ConceptsSmall cell lung cancerNon-cytotoxic therapiesImmune checkpoint inhibitorsCell lung cancerDNA methyltransferase 1SCLC cellsCytotoxic chemotherapyLung cancerDisseminated small cell lung cancerRepression marksSurvival of miceLineage commitmentCheckpoint inhibitorsResistant therapiesMaster transcription factorMaturation arrestTherapyTranscription factorsClinical compoundsMethyltransferase 1DNMT1 knockdownChemotherapyLineage maturationTranslocation 2Neuroendocrine lineageGenomic 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
NSCLC Subtyping in Conventional Cytology: Results of the International Association for the Study of Lung Cancer Cytology Working Group Survey to Determine Specific Cytomorphologic Criteria for Adenocarcinoma and Squamous Cell Carcinoma
Jain D, Nambirajan A, Chen G, Geisinger K, Hiroshima K, Layfield L, Minami Y, Moreira A, Motoi N, Papotti M, Rekhtman N, Russell P, Prince S, Schmitt F, Yatabe Y, Eppenberger-Castori S, Bubendorf L, Beasley M, Berezowska S, Borczuk A, Brambilla E, Chou T, Chung J, Cooper W, Dacic S, Chan Y, Hirsch F, Hwang D, Joubert P, Kerr K, Lantuejoul S, Lin D, Lopez-Rios F, Matsubara D, Mino-Kenudson M, Nicholson A, Poleri C, Roden A, Schalper K, Sholl L, Thunnissen E, Travis W, Tsao M, Wistuba I, Chen G. NSCLC Subtyping in Conventional Cytology: Results of the International Association for the Study of Lung Cancer Cytology Working Group Survey to Determine Specific Cytomorphologic Criteria for Adenocarcinoma and Squamous Cell Carcinoma. Journal Of Thoracic Oncology 2022, 17: 793-805. PMID: 35331963, DOI: 10.1016/j.jtho.2022.02.013.Peer-Reviewed Original Research
2018
Spatially 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 roleClinical Features and Management of Acquired Resistance to PD-1 Axis Inhibitors in 26 Patients With Advanced Non–Small Cell Lung Cancer
Gettinger SN, Wurtz A, Goldberg SB, Rimm D, Schalper K, Kaech S, Kavathas P, Chiang A, Lilenbaum R, Zelterman D, Politi K, Herbst R. Clinical Features and Management of Acquired Resistance to PD-1 Axis Inhibitors in 26 Patients With Advanced Non–Small Cell Lung Cancer. Journal Of Thoracic Oncology 2018, 13: 831-839. PMID: 29578107, PMCID: PMC6485248, DOI: 10.1016/j.jtho.2018.03.008.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overCarcinoma, Non-Small-Cell LungFemaleHumansImmunotherapyLung NeoplasmsMaleMiddle AgedConceptsPD-1 axis inhibitorsNon-small cell lung cancerAdvanced non-small cell lung cancerCell lung cancerInhibitor therapyLocal therapyLymph nodesLung cancerSurvival rateSolid Tumors v1.1Response Evaluation CriteriaSite of diseaseProgression of diseaseProgressive diseaseClinical patternLN metastasisSuch patientsClinical featuresMedian timeRadiographic featuresTumor regressionProlonged benefitPatientsTherapyResponse criteriaMolecular Determinants of Response to Anti–Programmed Cell Death (PD)-1 and Anti–Programmed Death-Ligand (PD-L)-Ligand 1 Blockade in Patients With Non–Small-Cell Lung Cancer Profiled With Targeted Next-Generation Sequencing
Rizvi H, Sanchez-Vega F, La K, Chatila W, Jonsson P, Halpenny D, Plodkowski A, Long N, Sauter JL, Rekhtman N, Hollmann T, Schalper KA, Gainor JF, Shen R, Ni A, Arbour KC, Merghoub T, Wolchok J, Snyder A, Chaft JE, Kris MG, Rudin CM, Socci ND, Berger MF, Taylor BS, Zehir A, Solit DB, Arcila ME, Ladanyi M, Riely GJ, Schultz N, Hellmann MD. Molecular Determinants of Response to Anti–Programmed Cell Death (PD)-1 and Anti–Programmed Death-Ligand (PD-L)-Ligand 1 Blockade in Patients With Non–Small-Cell Lung Cancer Profiled With Targeted Next-Generation Sequencing. Journal Of Clinical Oncology 2018, 36: jco.2017.75.338. PMID: 29337640, PMCID: PMC6075848, DOI: 10.1200/jco.2017.75.3384.Peer-Reviewed Original ResearchConceptsImmune checkpoint inhibitorsDurable clinical benefitTumor mutation burdenPD-L1 expressionCell lung cancerTargeted Next-Generation SequencingWhole-exome sequencingLung cancerNext-generation sequencingPartial response/stable diseaseUse of ICIsAnti-programmed death-1Response/stable diseaseSolid Tumors version 1.1Anti-programmed cell deathProgression-free survivalResponse Evaluation CriteriaSubset of patientsPredictors of responseMultivariable predictive modelDetailed clinical annotationLack of benefitStable diseaseCheckpoint inhibitorsDurable responses
2017
Impaired HLA Class I Antigen Processing and Presentation as a Mechanism of Acquired Resistance to Immune Checkpoint Inhibitors in Lung Cancer
Gettinger S, Choi J, Hastings K, Truini A, Datar I, Sowell R, Wurtz A, Dong W, Cai G, Melnick MA, Du VY, Schlessinger J, Goldberg SB, Chiang A, Sanmamed MF, Melero I, Agorreta J, Montuenga LM, Lifton R, Ferrone S, Kavathas P, Rimm DL, Kaech SM, Schalper K, Herbst RS, Politi K. Impaired HLA Class I Antigen Processing and Presentation as a Mechanism of Acquired Resistance to Immune Checkpoint Inhibitors in Lung Cancer. Cancer Discovery 2017, 7: cd-17-0593. PMID: 29025772, PMCID: PMC5718941, DOI: 10.1158/2159-8290.cd-17-0593.Peer-Reviewed Original ResearchConceptsImmune checkpoint inhibitorsPatient-derived xenograftsHLA class ILung cancerClass ICell surface HLA class ILung cancer mouse modelPD-1 blockadeStandard treatment algorithmCancer mouse modelLung cancer samplesDefective antigen processingCheckpoint inhibitorsPD-1Treatment algorithmMouse modelAntagonistic antibodiesDiverse malignanciesAntigen processingCancer samplesB2MHomozygous lossTumorsCancerRecurrent mutationsPrediction of recurrence in early stage non-small cell lung cancer using computer extracted nuclear features from digital H&E images
Wang X, Janowczyk A, Zhou Y, Thawani R, Fu P, Schalper K, Velcheti V, Madabhushi A. Prediction of recurrence in early stage non-small cell lung cancer using computer extracted nuclear features from digital H&E images. Scientific Reports 2017, 7: 13543. PMID: 29051570, PMCID: PMC5648794, DOI: 10.1038/s41598-017-13773-7.Peer-Reviewed Original ResearchMeSH KeywordsAgedArea Under CurveCarcinoma, Non-Small-Cell LungCell NucleusCohort StudiesDiscriminant AnalysisFemaleHumansKaplan-Meier EstimateLung NeoplasmsMaleMiddle AgedNeoplasm Recurrence, LocalNeoplasm StagingPrognosisProportional Hazards ModelsRetrospective StudiesROC CurveTissue Array AnalysisConceptsNon-small cell lung cancerEarly-stage non-small cell lung cancerStage non-small cell lung cancerEarly-stage NSCLC patientsStage NSCLC patientsCell lung cancerPrediction of recurrenceDisease recurrenceNSCLC patientsLung cancerTissue microarrayMultivariable Cox proportional hazards modelsCox proportional hazards modelTraditional prognostic variablesIndependent prognostic factorIdentification of patientsProportional hazards modelAdjuvant therapyNodal statusPrognostic factorsRetrospective cohortValidation cohortTraining cohortPrognostic variablesHigh risk
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 ResearchConceptsPD-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 tissueEGFR-GRB2 Protein Colocalization Is a Prognostic Factor Unrelated to Overall EGFR Expression or EGFR Mutation in Lung Adenocarcinoma
Toki MI, Carvajal-Hausdorf DE, Altan M, McLaughlin J, Henick B, Schalper KA, Syrigos KN, Rimm DL. EGFR-GRB2 Protein Colocalization Is a Prognostic Factor Unrelated to Overall EGFR Expression or EGFR Mutation in Lung Adenocarcinoma. Journal Of Thoracic Oncology 2016, 11: 1901-1911. PMID: 27449805, PMCID: PMC5075503, DOI: 10.1016/j.jtho.2016.06.025.Peer-Reviewed Original ResearchConceptsEGFR pathway activationSeries of patientsLung adenocarcinomaMutation statusEGFR expressionPathway activationProximity ligation assayKRAS wild-type tumorsEGFR-mutant patientsKRAS-mutant casesCohort of patientsWild-type tumorsInteraction of EGFREGFR expression levelsEGFR protein expressionMAPK/ERK pathwayGrowth factor receptorActive EGFRPrognostic factorsDifferent mutation statusPatient groupPrognostic valueLonger survivalEGFR mutationsPrognostic markerEpithelial–Mesenchymal Transition and Immune Evasion during Lung Cancer Progression: The Chicken or the Egg?
Datar I, Schalper KA. Epithelial–Mesenchymal Transition and Immune Evasion during Lung Cancer Progression: The Chicken or the Egg? Clinical Cancer Research 2016, 22: 3422-3424. PMID: 27076625, PMCID: PMC4947415, DOI: 10.1158/1078-0432.ccr-16-0336.Peer-Reviewed Original ResearchQuantitative Assessment of the Heterogeneity of PD-L1 Expression in Non–Small-Cell Lung Cancer
McLaughlin J, Han G, Schalper KA, Carvajal-Hausdorf D, Pelakanou V, Rehman J, Velcheti V, Herbst R, LoRusso P, Rimm DL. Quantitative Assessment of the Heterogeneity of PD-L1 Expression in Non–Small-Cell Lung Cancer. JAMA Oncology 2016, 2: 1-9. PMID: 26562159, PMCID: PMC4941982, DOI: 10.1001/jamaoncol.2015.3638.Peer-Reviewed Original ResearchMeSH KeywordsAgedAntibodies, MonoclonalAntibody SpecificityB7-H1 AntigenBiomarkers, TumorCarcinoma, Non-Small-Cell LungFemaleFluorescent Antibody TechniqueHumansImmunohistochemistryLung NeoplasmsMaleObserver VariationPredictive Value of TestsReproducibility of ResultsRetrospective StudiesTissue Array AnalysisConceptsTumor-infiltrating lymphocytesPD-L1 expressionPD-L1 antibodiesPD-L1 protein expressionCell lung cancerPD-L1Whole tissue sectionsQuantitative immunofluorescenceLung cancerChromogenic immunohistochemistryPoor concordanceDifferent PD-L1 antibodiesHigh tumor-infiltrating lymphocytesTumor PD-L1 expressionPD-L1 protein levelsCell lung cancer biopsiesMonoclonal antibodiesCurrent consensus guidelinesProtein expressionDurable clinical responsesMain outcome measuresEarly phase trialsLung cancer biopsiesRabbit monoclonal antibodyCorresponding tissue microarrays
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
2013
Programmed death ligand-1 expression in non-small cell lung cancer
Velcheti V, Schalper KA, Carvajal DE, Anagnostou VK, Syrigos KN, Sznol M, Herbst RS, Gettinger SN, Chen L, Rimm DL. Programmed death ligand-1 expression in non-small cell lung cancer. Laboratory Investigation 2013, 94: 107-116. PMID: 24217091, PMCID: PMC6125250, DOI: 10.1038/labinvest.2013.130.Peer-Reviewed Original ResearchMeSH KeywordsAgedB7-H1 AntigenBiomarkers, TumorCarcinoma, Non-Small-Cell LungCell Line, TumorChi-Square DistributionCohort StudiesConnecticutFemaleGreeceHumansImmunohistochemistryLung NeoplasmsLymphocytes, Tumor-InfiltratingMalePrognosisReproducibility of ResultsRNA, MessengerSurvival AnalysisTissue Array AnalysisConceptsNon-small cell lung cancerPD-L1 expressionCell lung cancerPD-L1Tissue microarrayBetter outcomesNSCLC casesLung cancerDeath ligand 1 (PD-L1) expressionCell death ligand 1PD-L1 protein expressionEarly phase clinical trialsLigand 1 expressionTumor-infiltrating lymphocytesDeath ligand 1Significant better outcomePD-L1 mRNAPD-L1 proteinPhase clinical trialsNormal human placentaPrediction of responseQuantitative fluorescence approachesFrequency of expressionPD-1Prognostic valueSarcomatoid 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