2023
Pan-cancer analysis of antibody-drug conjugate targets and putative predictors of treatment response
Bosi C, Bartha Á, Galbardi B, Notini G, Naldini M, Licata L, Viale G, Mariani M, Pistilli B, Ali H, André F, Piras M, Callari M, Barreca M, Locatelli A, Viganò L, Criscitiello C, Pusztai L, Curigliano G, Győrffy B, Dugo M, Bianchini G. Pan-cancer analysis of antibody-drug conjugate targets and putative predictors of treatment response. European Journal Of Cancer 2023, 195: 113379. PMID: 37913680, DOI: 10.1016/j.ejca.2023.113379.Peer-Reviewed Original ResearchConceptsGenotype-Tissue Expression (GTEx) databaseAntibody-drug conjugatesADC targetPan-cancer analysisCancer Genome AtlasExpression distributionGene expressionNew therapeutic opportunitiesTreatment responseExpression of determinantsPrimary tissuesGenome AtlasExpression levelsNormal tissuesPotential downstreamProtein expressionRelative expressionExpression databaseGenesTherapeutic opportunitiesExpressionTarget expressionMRNA levelsCancer typesInter-patient heterogeneityVariable Landscape of PD-L1 Expression in Breast Carcinoma as Detected by the DAKO 22C3 Immunohistochemistry Assay
Danziger N, Sokol E, Graf R, Hiemenz M, Maule J, Parimi V, Palmieri C, Pusztai L, Ross J, Huang R. Variable Landscape of PD-L1 Expression in Breast Carcinoma as Detected by the DAKO 22C3 Immunohistochemistry Assay. The Oncologist 2023, 28: 319-326. PMID: 36866462, PMCID: PMC10078903, DOI: 10.1093/oncolo/oyad025.Peer-Reviewed Original ResearchConceptsTriple-negative breast cancerPD-L1 expressionNegative triple negative breast cancerTNBC tissue samplesPD-L1 positivityPD-L1Dako 22C3Breast cancerDeath ligand 1 (PD-L1) immunohistochemistry (IHC) assaysPD-L1 groupNon-TNBC patientsTissue samplesComprehensive genomic profilingBreast cancer subtypesFoundationOne CDxImmunotherapy efficacyMetastatic sitesTNBC casesBC patientsBreast carcinomaPositive statusImmunohistochemistry assaysOptimum cutoffCancer subtypesGenomic profiling
2021
Comparison of programmed death-ligand 1 protein expression between primary and metastatic lesions in patients with lung cancer
Moutafi MK, Tao W, Huang R, Haberberger J, Alexander B, Ramkissoon S, Ross JS, Syrigos K, Wei W, Pusztai L, Rimm DL, Vathiotis IA. Comparison of programmed death-ligand 1 protein expression between primary and metastatic lesions in patients with lung cancer. Journal For ImmunoTherapy Of Cancer 2021, 9: e002230. PMID: 33833050, PMCID: PMC8039214, DOI: 10.1136/jitc-2020-002230.Peer-Reviewed Original ResearchConceptsPD-L1 expressionMetastatic lesionsLung cancer casesLung cancerCancer casesAdvanced stage non-small cell lung cancerNon-small cell lung cancerNon-squamous histologyCell lung cancerFuture patient managementDefinite diagnostic testSquamous histologyFoundation MedicineLymph nodesRoutine careHistologic subtypeMetastatic sitesPrimary lesionRetrospective studyAdrenal glandPrimary tumorPleural fluidPatient managementTrial designDrug Administration
2011
Consistent metagenes from cancer expression profiles yield agent specific predictors of chemotherapy response
Li Q, Eklund AC, Birkbak NJ, Desmedt C, Haibe-Kains B, Sotiriou C, Symmans WF, Pusztai L, Brunak S, Richardson AL, Szallasi Z. Consistent metagenes from cancer expression profiles yield agent specific predictors of chemotherapy response. BMC Bioinformatics 2011, 12: 310. PMID: 21798043, PMCID: PMC3155975, DOI: 10.1186/1471-2105-12-310.Peer-Reviewed Original ResearchConceptsEarly-stage lung cancerStage lung cancerNegative breast cancerCancer treatment decisionsHuman tumor samplesNeoadjuvant therapyChemotherapy responseLung cancerBreast cancerTreatment decisionsIndependent cohortPrognostic classifierAccurate biomarkersCancer expression profilesTumor typesPotential biomarkersTumor samplesConclusionsThese resultsSpecific predictorsStrong associationReliable predictorCohortCancerPredictorsBiomarkers