2018
Association of B7-H4, PD-L1, and tumor infiltrating lymphocytes with outcomes in breast cancer
Altan M, Kidwell KM, Pelekanou V, Carvajal-Hausdorf DE, Schalper KA, Toki MI, Thomas DG, Sabel MS, Hayes DF, Rimm DL. Association of B7-H4, PD-L1, and tumor infiltrating lymphocytes with outcomes in breast cancer. Npj Breast Cancer 2018, 4: 40. PMID: 30564631, PMCID: PMC6288133, DOI: 10.1038/s41523-018-0095-1.Peer-Reviewed Original ResearchPD-L1 expressionBreast cancer intrinsic subtypesB7-H4Clinico-pathological variablesB7-H4 proteinPD-L1Breast cancerIntrinsic subtypesB7-H4 protein expressionCD28/B7 familyTumor PD-L1 expressionQuantitative immunofluorescenceTriple-negative breast cancerRelationship of tumorCo-inhibitory moleculesImmune checkpoint inhibitorsClinico-pathological characteristicsFraction of patientsNegative breast cancerTissue microarray formatBreast cancer casesPD-L1 proteinCheckpoint inhibitorsClinical benefitExclusive pattern
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
2010
Benefits of biomarker selection and clinico-pathological covariate inclusion in breast cancer prognostic models
Parisi F, González A, Nadler Y, Camp RL, Rimm DL, Kluger HM, Kluger Y. Benefits of biomarker selection and clinico-pathological covariate inclusion in breast cancer prognostic models. Breast Cancer Research 2010, 12: r66. PMID: 20809974, PMCID: PMC3096952, DOI: 10.1186/bcr2633.Peer-Reviewed Original ResearchConceptsNottingham Prognostic IndexClinico-pathological variablesPrognostic indexCox modelPrognostic modelMultivariate Cox regression modelEarly-stage breast cancerBreast cancer patient cohortsAdjuvant chemotherapy decisionsMultivariate Cox modelStage breast cancerCox regression modelCancer patient cohortsTime-dependent areaBreast cancer prognostic modelsCancer prognostic modelsNPI groupOncotype DXPatient cohortChemotherapy decisionsPrognostic markerBackward selection procedureBreast cancerQuantitative immunofluorescence methodImmunofluorescence method