2018
Comparison of Residual Risk–Based Eligibility vs Tumor Size and Nodal Status for Power Estimates in Adjuvant Trials of Breast Cancer Therapies
Wei W, Kurita T, Hess KR, Sanft T, Szekely B, Hatzis C, Pusztai L. Comparison of Residual Risk–Based Eligibility vs Tumor Size and Nodal Status for Power Estimates in Adjuvant Trials of Breast Cancer Therapies. JAMA Oncology 2018, 4: e175092-e175092. PMID: 29372234, PMCID: PMC5885272, DOI: 10.1001/jamaoncol.2017.5092.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overAntineoplastic Combined Chemotherapy ProtocolsBreast NeoplasmsChemotherapy, AdjuvantEligibility DeterminationFemaleHumansLymph NodesLymphatic MetastasisMiddle AgedNeoplasm Recurrence, LocalNeoplasm, ResidualPatient SelectionPrognosisRandomized Controlled Trials as TopicReproducibility of ResultsResearch DesignRetrospective StudiesRisk FactorsSurvival AnalysisTrastuzumabTumor BurdenWatchful WaitingYoung AdultConceptsTumor sizeAdjuvant trialsEligibility criteriaNodal statusClinical trialsResidual riskEarly-stage breast cancerAdjuvant clinical trialsBaseline prognostic riskFuture adjuvant trialsResidual risk estimatesRisk of recurrenceBreast cancer therapyRisk thresholdTrial powerClinical trial powerTrial eligibilityAdjuvant therapyCare therapyConsecutive patientsPrognostic riskPatient eligibilityTrial populationPatient cohortControl arm
2017
Effect of neoadjuvant chemotherapy on tumor-infiltrating lymphocytes and PD-L1 expression in breast cancer and its clinical significance
Pelekanou V, Carvajal-Hausdorf DE, Altan M, Wasserman B, Carvajal-Hausdorf C, Wimberly H, Brown J, Lannin D, Pusztai L, Rimm DL. Effect of neoadjuvant chemotherapy on tumor-infiltrating lymphocytes and PD-L1 expression in breast cancer and its clinical significance. Breast Cancer Research 2017, 19: 91. PMID: 28784153, PMCID: PMC5547502, DOI: 10.1186/s13058-017-0884-8.Peer-Reviewed Original ResearchConceptsStromal tumor-infiltrating lymphocytesPD-L1 expressionTumor-infiltrating lymphocytesRecurrence-free survivalNeoadjuvant chemotherapyResidual cancer tissueTIL countBreast cancerCancer tissuesDeath ligand 1 (PD-L1) protein expressionNode-positive breast cancerImproved recurrence-free survivalPD-L1 protein expressionHigher TIL countsPD-L1 statusProtein expressionBreast cancer patientsBreast cancer tissuesPost-treatment samplesPrechemotherapy samplesTIL infiltrationResidual cancerImmune markersResidual diseasePatient cohort
2012
A Systematic Evaluation of Multi-Gene Predictors for the Pathological Response of Breast Cancer Patients to Chemotherapy
Shen K, Song N, Kim Y, Tian C, Rice SD, Gabrin MJ, Symmans WF, Pusztai L, Lee JK. A Systematic Evaluation of Multi-Gene Predictors for the Pathological Response of Breast Cancer Patients to Chemotherapy. PLOS ONE 2012, 7: e49529. PMID: 23185353, PMCID: PMC3504014, DOI: 10.1371/journal.pone.0049529.Peer-Reviewed Original ResearchConceptsMulti-gene predictorsPatients' clinical outcomesClinical outcomesCancer patientsTherapeutic responseStandard combination chemotherapyBreast cancer patientsClinical outcome measurementsPatient's therapeutic responseBreast cancer cell linesCancer cell linesNegative patientsCombination chemotherapyPatient cohortPathological responseBreast cancerEstrogen receptorClinical utilityOutcome measurementsChemotherapyPatientsCell linesOutcomesPredictorsCOXEN
2011
First generation prognostic gene signatures for breast cancer predict both survival and chemotherapy sensitivity and identify overlapping patient populations
Iwamoto T, Lee JS, Bianchini G, Hubbard RE, Young E, Matsuoka J, Kim SB, Symmans WF, Hortobagyi GN, Pusztai L. First generation prognostic gene signatures for breast cancer predict both survival and chemotherapy sensitivity and identify overlapping patient populations. Breast Cancer Research And Treatment 2011, 130: 155. PMID: 21833625, DOI: 10.1007/s10549-011-1706-9.Peer-Reviewed Original ResearchConceptsLong-term survivalPrognostic gene signatureClinical variablesChemotherapy responseGenomic prognostic markersPrognostic markerPredictive valueKaplan-Meir survival curvesSignificant independent predictive valuePathologic complete responseProgression-free survivalLong-term followIndependent predictive valueSame patient cohortReceiver operator characteristic curveOperator characteristic curveOverall survivalPreoperative chemotherapyComplete responseNodal statusIndependent prognosticClinicopathological variablesPatient populationHER2 statusPatient cohort