2023
Objective Analysis and Clinical Significance of the Spatial Tumor-Infiltrating Lymphocyte Patterns in Non-Small Cell Lung Cancer.
Lopez De Rodas M, Wang Y, Peng G, Gu J, Mino-Kenudson M, Riess J, Velcheti V, Hellmann M, Gainor J, Zhao H, Schalper K. Objective Analysis and Clinical Significance of the Spatial Tumor-Infiltrating Lymphocyte Patterns in Non-Small Cell Lung Cancer. Clinical Cancer Research 2023, 30: 998-1008. PMID: 38127300, PMCID: PMC10922461, DOI: 10.1158/1078-0432.ccr-23-2457.Peer-Reviewed Original ResearchNon-small cell lung cancerTIL subsetsCell lung cancerImmune evasion mechanismsSubset of casesLymphocyte infiltration patternsPathology-based approachStrong biomarker potentialTIL markersNSCLC patientsImmunotherapy outcomesLymphocyte patternsLung cancerTumor bedWorse outcomesClinical significanceMost tumorsEvasion mechanismsStromal tissueTumor samplesMultiplexed immunofluorescenceBiomarker potentialTumorsInfiltration patternsImmunotherapy1434P Machine learning features derived from spatial interaction of immune cell families are associated with survival in NSCLC patients post-immunotherapy
Arabyarmohammadi S, Corredor G, de Rodas Gregorio M, Schalper K, Madabhushi A. 1434P Machine learning features derived from spatial interaction of immune cell families are associated with survival in NSCLC patients post-immunotherapy. Annals Of Oncology 2023, 34: s816. DOI: 10.1016/j.annonc.2023.09.2465.Peer-Reviewed Original Research
2021
240 Discovery of biomarkers of resistance to immune checkpoint blockade in non-small-cell lung cancer (NSCLC) using high-plex digital spatial profiling
Moutafi M, Martinez-Morilla S, Divakar P, Vathiotis I, Gavrielatou N, Aung T, Yaghoobi V, Fernandez A, Fraile J, Schalper K, Rimm D. 240 Discovery of biomarkers of resistance to immune checkpoint blockade in non-small-cell lung cancer (NSCLC) using high-plex digital spatial profiling. 2021, a258-a258. DOI: 10.1136/jitc-2021-sitc2021.240.Peer-Reviewed Original ResearchImmune checkpoint inhibitorsPre-treatment samplesQuantitative immunofluorescencePredictive biomarkersLung cancerHigh PD-L1 expressionExpression of CD66bInitial biomarker discoveryOperable NSCLC patientsStromal immune cellsTwo-sided significance levelPD-L1 expressionImmune checkpoint blockadeRole of neutrophilsCell lung cancerPotential predictive biomarkersGood predictive valueDigital spatial profilingDigital Spatial ProfilerCohort validationICI therapyCheckpoint inhibitorsCheckpoint blockadeNSCLC cohortNSCLC patients
2017
Prediction 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
2013
High 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