2023
Variable 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
2014
TP53 mutation‐correlated genes predict the risk of tumor relapse and identify MPS1 as a potential therapeutic kinase in TP53‐mutated breast cancers
Győrffy B, Bottai G, Lehmann-Che J, Kéri G, Őrfi L, Iwamoto T, Desmedt C, Bianchini G, Turner NC, de Thè H, André F, Sotiriou C, Hortobagyi GN, Di Leo A, Pusztai L, Santarpia L. TP53 mutation‐correlated genes predict the risk of tumor relapse and identify MPS1 as a potential therapeutic kinase in TP53‐mutated breast cancers. Molecular Oncology 2014, 8: 508-519. PMID: 24462521, PMCID: PMC5528634, DOI: 10.1016/j.molonc.2013.12.018.Peer-Reviewed Original ResearchConceptsBreast cancerTP53 mutation statusPrognostic valueBC cellsMutation statusER-negative breast cancerDifferent BC cell linesFuture clinical trialsSignificant prognostic markerPotential therapeutic targetBC cell linesType of treatmentNeoadjuvant chemotherapyBC patientsClinical behaviorPrognostic markerClinical trialsConventional chemotherapyEstrogen receptorPotent small molecule inhibitorsTumor relapseSmall molecule inhibitorsTherapeutic targetClinical relevanceTP53 status
2013
DNA Repair Gene Patterns as Prognostic and Predictive Factors in Molecular Breast Cancer Subtypes
Santarpia L, Iwamoto T, Di Leo A, Hayashi N, Bottai G, Stampfer M, André F, Turner NC, Symmans WF, Hortobágyi GN, Pusztai L, Bianchini G. DNA Repair Gene Patterns as Prognostic and Predictive Factors in Molecular Breast Cancer Subtypes. The Oncologist 2013, 18: 1063-1073. PMID: 24072219, PMCID: PMC3805146, DOI: 10.1634/theoncologist.2013-0163.Peer-Reviewed Original ResearchConceptsResidual invasive cancerHER2-negative tumorsInvasive cancerER-positive/HER2-negative tumorsPredictive valueUntreated breast cancer patientsAffymetrix gene expression profilesHER2-negative subgroupMolecular breast cancer subtypesTaxane/anthracyclinePathological complete responseER-positive tumorsAnthracycline-treated patientsHER2-positive tumorsBreast cancer patientsER-negative tumorsBreast cancer subtypesAnthracycline regimensComplete responseBetter prognosisClinical outcomesBC patientsPoor prognosisPredictive factorsPrognostic value
2012
Seventeen-gene signature from enriched Her2/Neu mammary tumor-initiating cells predicts clinical outcome for human HER2+:ERα− breast cancer
Liu JC, Voisin V, Bader GD, Deng T, Pusztai L, Symmans WF, Esteva FJ, Egan SE, Zacksenhaus E. Seventeen-gene signature from enriched Her2/Neu mammary tumor-initiating cells predicts clinical outcome for human HER2+:ERα− breast cancer. Proceedings Of The National Academy Of Sciences Of The United States Of America 2012, 109: 5832-5837. PMID: 22460789, PMCID: PMC3326451, DOI: 10.1073/pnas.1201105109.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsAntibodies, Monoclonal, HumanizedAntineoplastic AgentsBreast NeoplasmsCalcium-Binding ProteinsCD24 AntigenCell DifferentiationCell DivisionEstrogen Receptor alphaFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticGenes, NeoplasmHumansIntercellular Signaling Peptides and ProteinsJagged-1 ProteinMembrane ProteinsMiceNeoadjuvant TherapyNeoplastic Stem CellsPrognosisReceptor, ErbB-2Serrate-Jagged ProteinsSignal TransductionTrastuzumabTreatment OutcomeConceptsTumor-initiating cellsMammary tumor-initiating cellsBreast cancerClinical outcomesPrognostic signatureHuman epidermal growth factor receptorAnti-HER2 drugsAnti-HER2 therapyHigh-risk patientsHigh-risk subgroupsEpidermal growth factor receptorGrowth factor receptorBC cohortRisk patientsAggressive diseaseBC patientsRetrospective analysisImmune responsePrognostic powerTumor growthPatientsChemotherapyFactor receptorCancerFraction of cells
2007
Identification of predictive markers to differentiate ixabepilone from paclitaxel activity in ER-negative breast cancer patients
Wu S, Chasalow S, Lee H, Xu L, Paul B, Mokliatchouk O, Symmans W, Zerba K, Pusztai L, Clark E. Identification of predictive markers to differentiate ixabepilone from paclitaxel activity in ER-negative breast cancer patients. Journal Of Clinical Oncology 2007, 25: 2525-2525. DOI: 10.1200/jco.2007.25.18_suppl.2525.Peer-Reviewed Original ResearchBreast cancer patientsER patientsCancer patientsPredictive markerClinical trialsPaclitaxel activityER-negative breast cancer patientsComplete pathological responseER-negative patientsTaxane-containing regimensTaxane-containing therapyExpression levelsIxabepilone treatmentPatient selectionBC patientsPathological responseIxabepilonePatientsTherapeutic valueProtein 3SiRNA studiesDifferential markersROC curveTrialsCandidate markers