2023
Immunological and clinicopathological features predict HER2-positive breast cancer prognosis in the neoadjuvant NeoALTTO and CALGB 40601 randomized trials
Rediti M, Fernandez-Martinez A, Venet D, Rothé F, Hoadley K, Parker J, Singh B, Campbell J, Ballman K, Hillman D, Winer E, El-Abed S, Piccart M, Di Cosimo S, Symmans W, Krop I, Salgado R, Loi S, Pusztai L, Perou C, Carey L, Sotiriou C. Immunological and clinicopathological features predict HER2-positive breast cancer prognosis in the neoadjuvant NeoALTTO and CALGB 40601 randomized trials. Nature Communications 2023, 14: 7053. PMID: 37923752, PMCID: PMC10624889, DOI: 10.1038/s41467-023-42635-2.Peer-Reviewed Original ResearchConceptsEvent-free survivalHER2-positive breast cancerPathological complete responseCALGB 40601Breast cancerBreast pathological complete responseStromal tumor-infiltrating lymphocytesHormone receptor statusPhase III trialsClinical nodal statusIndependent prognostic factorTumor-infiltrating lymphocytesIdentification of patientsBreast cancer prognosisT cell receptorNeoadjuvant paclitaxelNeoadjuvant therapyIII trialsNodal statusComplete responsePrognostic factorsPrognostic scoreReceptor statusClinicopathological featuresResidual disease
2022
Pathologic complete response (pCR) rates for HR+/HER2- breast cancer by molecular subtype in the I-SPY2 Trial.
Huppert L, Rugo H, Pusztai L, Mukhtar R, Chien A, Yau C, Wolf D, Berry D, van 't Veer L, Yee D, DeMichele A, Esserman L, Consortium I. Pathologic complete response (pCR) rates for HR+/HER2- breast cancer by molecular subtype in the I-SPY2 Trial. Journal Of Clinical Oncology 2022, 40: 504-504. DOI: 10.1200/jco.2022.40.16_suppl.504.Peer-Reviewed Original ResearchI-SPY2 trialInvestigational agentsMolecular subtypesNodal statusPathologic complete response rateMultiple investigational agentsComplete response ratePhase 3 trialHER2- breast cancerLuminal statusNeoadjuvant therapyPrimary endpointImmune signaturesPCR rateTreatment armsHeterogenous diseaseBC therapySubtype 5Breast cancerImmune biologyResponse ratePembrolizumabHormone receptorsDiseaseTrials
2021
Residual cancer burden after neoadjuvant chemotherapy and long-term survival outcomes in breast cancer: a multicentre pooled analysis of 5161 patients
Yau C, Osdoit M, van der Noordaa M, Shad S, Wei J, de Croze D, Hamy AS, Laé M, Reyal F, Sonke GS, Steenbruggen TG, van Seijen M, Wesseling J, Martín M, del Monte-Millán M, López-Tarruella S, Consortium I, Adamson K, Albain K, Asare A, Asare S, Balassanian R, Beckwith H, Berry S, Berry D, Boughey J, Buxton M, Chen Y, Chen B, Chien A, Chui S, Clark A, Clennell J, Datnow B, DeMichele A, Duan X, Edmiston K, Elias A, Ellis E, Esserman L, Euhus D, Fadare O, Fan F, Feldman M, Forero-Torres A, Haley B, Han H, Harada S, Haugen P, Helsten T, Hirst G, Hylton N, Isaacs C, Kemmer K, Khan Q, Khazai L, Klein M, Krings G, Lang J, LeBeau L, Leyland-Jones B, Liu M, Lo S, Lu J, Magliocco A, Matthews J, Melisko M, Mhawech-Fauceglia P, Moulder S, Murthy R, Nanda R, Northfelt D, Ocal I, Olopade O, Pambuccian S, Paoloni M, Park J, Parker B, Perlmutter J, Peterson G, Pusztai L, Rendi M, Rugo H, Sahoo S, Sams S, Sanil A, Sattar H, Schwab R, Singhrao R, Steeg K, Stringer-Reasor E, Symmans W, Tawfik O, Tripathy D, Troxell M, Veer L, Venters S, Vinh T, Viscusi R, Wallace A, Wei S, Wilson A, Yau C, Yee D, Zeck J, Boughey J, Goetz M, Hoskin T, Gould R, Valero V, Edge S, Abraham J, Bartlett J, Caldas C, Dunn J, Earl H, Hayward L, Hiller L, Provenzano E, Sammut S, Thomas J, Cameron D, Graham A, Hall P, Mackintosh L, Fan F, Godwin A, Schwensen K, Sharma P, DeMichele A, Cole K, Pusztai L, Kim M, van 't Veer L, Esserman L, Symmans W. Residual cancer burden after neoadjuvant chemotherapy and long-term survival outcomes in breast cancer: a multicentre pooled analysis of 5161 patients. The Lancet Oncology 2021, 23: 149-160. PMID: 34902335, PMCID: PMC9455620, DOI: 10.1016/s1470-2045(21)00589-1.Peer-Reviewed Original ResearchConceptsResidual cancer burdenEvent-free survivalRCB scoreHER2-positive groupNeoadjuvant chemotherapyBreast cancer subtypesBreast cancerHazard ratioCancer subtypesNodal statusCancer burdenT categoryEvent-free survival eventsPooled patient-level analysisLong-term survival outcomesPractice settingsWorse event-free survivalClinical T categoryHigher RCB scoresStandard pathology reportingHER2-negative patientsHormone receptor statusHER2-negative groupLong-term prognosisPrimary stage I
2019
Validation of the DNA Damage Immune Response Signature in Patients With Triple-Negative Breast Cancer From the SWOG 9313c Trial.
Sharma P, Barlow WE, Godwin AK, Parkes EE, Knight LA, Walker SM, Kennedy RD, Harkin DP, Logan GE, Steele CJ, Lambe SM, Badve S, Gökmen-Polar Y, Pathak HB, Isakova K, Linden HM, Porter P, Pusztai L, Thompson AM, Tripathy D, Hortobagyi GN, Hayes DF. Validation of the DNA Damage Immune Response Signature in Patients With Triple-Negative Breast Cancer From the SWOG 9313c Trial. Journal Of Clinical Oncology 2019, 37: 3484-3492. PMID: 31657982, PMCID: PMC7194448, DOI: 10.1200/jco.19.00693.Peer-Reviewed Original ResearchConceptsStromal tumor-infiltrating lymphocytesTriple-negative breast cancerDisease-free survivalOverall survivalImmune response signaturesBreast cancerEarly-stage triple-negative breast cancerThree-year disease-free survivalParaffin-embedded tumor tissueThird of patientsTumor-infiltrating lymphocytesSubgroup of patientsCox regression modelResponse signatureAdjuvant ACAdjuvant doxorubicinSTIL densityT2N0 diseaseAC chemotherapyNodal statusPrognostic roleImproved prognosisPrognostic valueTumor sizePrognostic marker
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
2015
Predictive and Prognostic Value of the TauProtein in Breast Cancer.
Bonneau C, Gurard-Levin ZA, Andre F, Pusztai L, Rouzier R. Predictive and Prognostic Value of the TauProtein in Breast Cancer. Anticancer Research 2015, 35: 5179-84. PMID: 26408675.Peer-Reviewed Original ResearchConceptsBreast cancerTau protein expressionTau proteinPrognostic valueTau expressionHuman epidermal growth factor receptor 2 (HER2) expressionEpidermal growth factor receptor 2 expressionLow tau expressionProtein expressionSubset of patientsReceptor 2 expressionIncreased response rateEffects of taxanesNodal statusBetter prognosisPredictive markerTaxane resistanceChemotherapy sensitivityPredictive valueResponse ratePubMed databaseDrug resistanceCancerHormone receptorsTaxanes
2013
A comparative analysis of distant recurrence risk assessments by Oncotype DX recurrence score alone and integrated with clinicopathologic factors in early-stage breast cancer.
Kelly C, Beamish R, McCaffrey J, SMITH M, Crown J, O'Connor M, McGee S, O'Reilly S, Moylan E, Gonzalez-Angulo A, Litton J, Pusztai L, Kelly C. A comparative analysis of distant recurrence risk assessments by Oncotype DX recurrence score alone and integrated with clinicopathologic factors in early-stage breast cancer. Journal Of Clinical Oncology 2013, 31: 598-598. DOI: 10.1200/jco.2013.31.15_suppl.598.Peer-Reviewed Original ResearchRisk of recurrenceOncotype DX recurrence scoreRecurrence scoreDX recurrence scoreClinicopathologic factorsBreast cancerRecurrence risk assessmentDistant recurrenceNode negativeIR groupOncotype DXRisk groupsHER-2 negative breast cancerHER2-negative breast cancerEarly-stage breast cancerProportion of patientsOncotype DX testingNegative breast cancerChemotherapy benefitNodal statusPatient chartsTumor sizeClinical trialsAcademic hospitalLR groupClinical benefit from neoadjuvant chemotherapy in oestrogen receptor-positive invasive ductal and lobular carcinomas
Delpech Y, Coutant C, Hsu L, Barranger E, Iwamoto T, Barcenas CH, Hortobagyi GN, Rouzier R, Esteva FJ, Pusztai L. Clinical benefit from neoadjuvant chemotherapy in oestrogen receptor-positive invasive ductal and lobular carcinomas. British Journal Of Cancer 2013, 108: 285-291. PMID: 23299541, PMCID: PMC3566807, DOI: 10.1038/bjc.2012.557.Peer-Reviewed Original ResearchConceptsInvasive ductal carcinomaBreast-conserving surgeryNeoadjuvant chemotherapyPure lobular carcinomaLobular carcinomaClinical benefitTumor sizeER-positive invasive ductal carcinomasLower pathological complete response rateResponse ratePathological complete response ratePathological response rateComplete response rateGood clinical responsePathological complete responseType of chemotherapyPositive surgical marginsSurgical resection marginsClinical responseNodal statusComplete responseResection marginsSurgical marginsDuctal carcinomaPositive margins
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
2009
Evaluation of the Predictive Performance and Regimen Specificity of a 30-Gene Predictor of Pathologic Complete Response in a Prospective Randomized Neoadjuvant Clinical Trial for Stage I-III Breast Cancer.
Tabchy A, Symmans W, Valero V, Vidaurre T, Lluch A, Qi Y, Souchon E, Barajas-Figueroa L, Gomez H, Martin M, Coutant C, Hess K, Hortobagyi G, Pusztai L. Evaluation of the Predictive Performance and Regimen Specificity of a 30-Gene Predictor of Pathologic Complete Response in a Prospective Randomized Neoadjuvant Clinical Trial for Stage I-III Breast Cancer. Cancer Research 2009, 69: 101-101. DOI: 10.1158/0008-5472.sabcs-09-101.Peer-Reviewed Original ResearchPathologic complete responsePositive predictive valueCourses of FACFAC armWeekly paclitaxelFAC chemotherapyPCR rateComplete responseMultigene predictorsTreatment armsBreast cancerStage IPathologic complete response rateGenomic predictorsComplete response rateNeoadjuvant clinical trialsEstrogen receptor statusNegative predictive value 88Treatment response predictionFAC regimenNPV 92Neoadjuvant chemotherapyOnly chemotherapyCyclophosphamide chemotherapyNodal statusEvaluation of microtubule associated protein tau expression as prognostic and predictive marker in the NSABP-B 28 randomized clinical trial.
Pusztai L, Jeong J, Gong Y, Ross J, Kim C, Hortobagyi G, Paik S, Symmans W. Evaluation of microtubule associated protein tau expression as prognostic and predictive marker in the NSABP-B 28 randomized clinical trial. Cancer Research 2009, 69: 54. DOI: 10.1158/0008-5472.sabcs-54.Peer-Reviewed Original ResearchOverall survivalTau protein expressionTau expressionClinical trialsHormone receptor-positive tumorsMD Anderson Cancer CenterDoxorubicin/cyclophosphamideER-negative subsetNational Surgical BreastAdjuvant endocrine treatmentProtein expressionReceptor-positive tumorsPercent of tumorsAnderson Cancer CenterNormal breast epitheliumAdjuvant chemotherapyPaclitaxel efficacyBowel ProjectEndocrine therapyEndocrine treatmentPaclitaxel chemotherapyNodal statusBetter prognosisClinical outcomesPositive tumors
2007
CD40 signaling predicts response to preoperative trastuzumab and concomitant paclitaxel followed by 5-fluorouracil, epirubicin, and cyclophosphamide in HER-2-overexpressing breast cancer
Esteva FJ, Wang J, Lin F, Mejia JA, Yan K, Altundag K, Valero V, Buzdar AU, Hortobagyi GN, Symmans WF, Pusztai L. CD40 signaling predicts response to preoperative trastuzumab and concomitant paclitaxel followed by 5-fluorouracil, epirubicin, and cyclophosphamide in HER-2-overexpressing breast cancer. Breast Cancer Research 2007, 9: r87. PMID: 18086299, PMCID: PMC2246190, DOI: 10.1186/bcr1836.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAntibodies, MonoclonalAntibodies, Monoclonal, HumanizedAntineoplastic Combined Chemotherapy ProtocolsBiomarkers, TumorBiopsy, Fine-NeedleBreast NeoplasmsCD40 AntigensCyclophosphamideEpirubicinFemaleFluorouracilGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMastectomyMastectomy, Modified RadicalMastectomy, SegmentalMiddle AgedNeoadjuvant TherapyNeoplasm StagingNeoplasm, ResidualPaclitaxelPredictive Value of TestsReceptor, ErbB-2RNA, MessengerSignal TransductionTranscription, GeneticTrastuzumabTreatment OutcomeUp-RegulationConceptsPathologic complete responseBreast cancerIIIA breast cancerFine-needle aspirationConcomitant paclitaxelConcomitant trastuzumabFEC therapyPreoperative trastuzumabPreoperative chemotherapyPrimary endpointComplete responseNodal statusResidual cancerTumor sizeTumor responseNuclear gradeReceptor mRNAMolecular predictorsTrastuzumabStage IIGreater riskLow expressionCancerCyclophosphamidePatients
2006
Pharmacogenomic analysis of HER2 amplified breast cancer treated with preoperative trastuzumab and paclitaxel, 5-fluorouracil, epirubicin, cyclophosphamide (T/FEC) chemotherapy
Esteva F, Anderson K, Lin F, Nahta R, Mejia J, Altundag K, Buzdar A, Hortobagyi G, Symmans W, Pusztai L. Pharmacogenomic analysis of HER2 amplified breast cancer treated with preoperative trastuzumab and paclitaxel, 5-fluorouracil, epirubicin, cyclophosphamide (T/FEC) chemotherapy. Journal Of Clinical Oncology 2006, 24: 545-545. DOI: 10.1200/jco.2006.24.18_suppl.545.Peer-Reviewed Original ResearchBreast cancerOverall pathologic complete response ratePathologic complete response rateTrastuzumab-resistant cell linesAbsence of trastuzumabOnly preoperative chemotherapyComplete response rateReceptor mRNA expressionFine-needle aspirationConcomitant trastuzumabFEC chemotherapyPreoperative trastuzumabQuantitative estrogenCyclophosphamide chemotherapyPreoperative chemotherapyNodal statusResidual diseaseTumor sizeClinical variablesNuclear gradeNeedle aspirationPharmacogenomic predictorsMolecular predictorsResponse rateTrastuzumab