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 microarray
2008
Quantitative Assessment of Tissue Biomarkers and Construction of a Model to Predict Outcome in Breast Cancer Using Multiple Imputation
Emerson JW, Dolled-Filhart M, Harris L, Rimm DL, Tuck DP. Quantitative Assessment of Tissue Biomarkers and Construction of a Model to Predict Outcome in Breast Cancer Using Multiple Imputation. Cancer Informatics 2008, 7: cin.s911. PMID: 19352457, PMCID: PMC2664700, DOI: 10.4137/cin.s911.Peer-Reviewed Original ResearchLymph node statusProtein expression levelsNode statusBreast cancerBaseline clinical modelCohort of patientsLack of tumorTissue microarray studyLarge independent cohortsExpression levelsMultiple imputationPatient survivalTraining cohortTissue biomarkersIndependent cohortClinical modelSelect markersCohortSimilar improvementsBiomarker analysisCancerClinical annotationProtein markersBiomarkersFuture studies