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 IDurvalumab with olaparib and paclitaxel for high-risk HER2-negative stage II/III breast cancer: Results from the adaptively randomized I-SPY2 trial
Pusztai L, Yau C, Wolf DM, Han HS, Du L, Wallace AM, String-Reasor E, Boughey JC, Chien AJ, Elias AD, Beckwith H, Nanda R, Albain KS, Clark AS, Kemmer K, Kalinsky K, Isaacs C, Thomas A, Shatsky R, Helsten TL, Forero-Torres A, Liu MC, Brown-Swigart L, Petricoin EF, Wulfkuhle JD, Asare SM, Wilson A, Singhrao R, Sit L, Hirst GL, Berry S, Sanil A, Asare AL, Matthews JB, Perlmutter J, Melisko M, Rugo HS, Schwab RB, Symmans WF, Yee D, Van't Veer LJ, Hylton NM, DeMichele AM, Berry DA, Esserman LJ. Durvalumab with olaparib and paclitaxel for high-risk HER2-negative stage II/III breast cancer: Results from the adaptively randomized I-SPY2 trial. Cancer Cell 2021, 39: 989-998.e5. PMID: 34143979, PMCID: PMC11064785, DOI: 10.1016/j.ccell.2021.05.009.Peer-Reviewed Original ResearchConceptsHER2-negative breast cancerTriple-negative breast cancerI-SPY2 trialBreast cancerNeoadjuvant chemotherapyStage II/III HER2-negative breast cancerStage II/III breast cancerGrade 3 adverse eventsPathologic complete response ratePD-L1 inhibitor durvalumabMast cell signaturePaclitaxel neoadjuvant chemotherapyComplete response rateHER2-negative patientsStandard neoadjuvant chemotherapyHER2-negative cancersPARP inhibitor olaparibAdverse eventsGene expression signaturesCare controlSuperior efficacyImmune responseResponse rateCancerInhibitor olaparibComparison 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
2019
Identification of a novel MYOC variant in a Hispanic family with early-onset primary open-angle glaucoma with elevated intraocular pressure
Criscione J, Ji W, Jeffries L, McGrath JM, Soloway S, Pusztai L, Lakhani S. Identification of a novel MYOC variant in a Hispanic family with early-onset primary open-angle glaucoma with elevated intraocular pressure. Molecular Case Studies 2019, 5: a004374. PMID: 31653660, PMCID: PMC6913140, DOI: 10.1101/mcs.a004374.Peer-Reviewed Original ResearchConceptsPrimary open-angle glaucomaEarly-onset primary open-angle glaucomaOpen-angle glaucomaGenetic testingElevated intraocular pressureJuvenile-onset primary open-angle glaucomaFurther genetic testingAutosomal dominant patternFemale patientsIntraocular pressureIrreversible blindnessFamily historyEye disordersMYOC variantsMyocilin geneGlaucomaPOAG phenotypeHispanic familiesOlfactomedin domainPrevious findingsDominant patternVariant segregatesMost casesPatientsEtiology
2018
Immunological differences between primary and metastatic breast cancer
Szekely B, Bossuyt V, Li X, Wali VB, Patwardhan GA, Frederick C, Silber A, Park T, Harigopal M, Pelekanou V, Zhang M, Yan Q, Rimm DL, Bianchini G, Hatzis C, Pusztai L. Immunological differences between primary and metastatic breast cancer. Annals Of Oncology 2018, 29: 2232-2239. PMID: 30203045, DOI: 10.1093/annonc/mdy399.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAgedAntineoplastic Agents, ImmunologicalB7-H1 AntigenBiomarkers, TumorBiopsyBreast NeoplasmsDisease ProgressionDrug Resistance, NeoplasmFemaleGene Expression RegulationHumansImmunologic SurveillanceLymphocyte CountLymphocytes, Tumor-InfiltratingMiddle AgedMutation RateTumor EscapeTumor MicroenvironmentYoung AdultConceptsMetastatic breast cancerBreast cancerTherapeutic targetToll-like receptor pathway genesImmuno-oncology therapeutic targetsBreast cancer evolvesImmune proteasome expressionPD-L1 positivityCorresponding primary tumorsPotential therapeutic targetMHC class IImmune-related genesMetastatic cancer samplesLigand/receptor pairLymphocyte countT helperT-regsPD-L1Immune microenvironmentCytotoxic TPrimary tumorMastoid cellsDisease progressionTherapeutic combinationsMacrophage markersComparison 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
Revisiting the definition of estrogen receptor positivity in HER2-negative primary breast cancer
Fujii T, Kogawa T, Dong W, Sahin AA, Moulder S, Litton JK, Tripathy D, Iwamoto T, Hunt KK, Pusztai L, Lim B, Shen Y, Ueno NT. Revisiting the definition of estrogen receptor positivity in HER2-negative primary breast cancer. Annals Of Oncology 2017, 28: 2420-2428. PMID: 28961844, PMCID: PMC5834134, DOI: 10.1093/annonc/mdx397.Peer-Reviewed Original ResearchConceptsHER2-negative primary breast cancerAdjuvant hormonal therapyPrimary breast cancerTriple-negative breast cancerEstrogen receptor positivityHormonal therapyBreast cancerER expressionNeoadjuvant chemotherapyOverall survivalReceptor positivityPathological complete response rateHER2-negative breast cancerStage IIHuman epidermal growth factor 2Better long-term outcomesEpidermal growth factor 2Complete response rateProgesterone receptor expressionLong-term outcomesNegative breast cancerTerms of pCRLogistic regression modelsDefinitive surgeryGrowth factor 2
2016
SWOG S0800 (NCI CDR0000636131): addition of bevacizumab to neoadjuvant nab-paclitaxel with dose-dense doxorubicin and cyclophosphamide improves pathologic complete response (pCR) rates in inflammatory or locally advanced breast cancer
Nahleh ZA, Barlow WE, Hayes DF, Schott AF, Gralow JR, Sikov WM, Perez EA, Chennuru S, Mirshahidi HR, Corso SW, Lew DL, Pusztai L, Livingston RB, Hortobagyi GN. SWOG S0800 (NCI CDR0000636131): addition of bevacizumab to neoadjuvant nab-paclitaxel with dose-dense doxorubicin and cyclophosphamide improves pathologic complete response (pCR) rates in inflammatory or locally advanced breast cancer. Breast Cancer Research And Treatment 2016, 158: 485-495. PMID: 27393622, PMCID: PMC4963434, DOI: 10.1007/s10549-016-3889-6.Peer-Reviewed Original ResearchConceptsTriple-negative breast cancerEvent-free survivalAddition of bevacizumabInflammatory breast cancerAdvanced breast cancerDose-dense doxorubicinNab-paclitaxelPathologic complete responseBreast cancerPCR rateOverall survivalOpen-label phase II clinical trialHormone receptor-positive diseaseImproved event-free survivalPathologic complete response ratePhase II clinical trialNeoadjuvant chemotherapy armNeoadjuvant nab-paclitaxelRole of bevacizumabWeekly nab-paclitaxelComplete response rateReceptor-positive diseaseHormone receptor statusSequence of administrationChemotherapy arm
2015
Clinical nomogram to predict bone-only metastasis in patients with early breast carcinoma
Delpech Y, Bashour SI, Lousquy R, Rouzier R, Hess K, Coutant C, Barranger E, Esteva FJ, Ueno NT, Pusztai L, Ibrahim NK. Clinical nomogram to predict bone-only metastasis in patients with early breast carcinoma. British Journal Of Cancer 2015, 113: 1003-1009. PMID: 26393887, PMCID: PMC4651124, DOI: 10.1038/bjc.2015.308.Peer-Reviewed Original ResearchConceptsNon-metastatic breast cancerBreast cancerClinical nomogramCox proportional hazards regression modelProportional hazards regression modelsBone-targeted therapiesHormone receptor statusEarly breast cancerLymph node statusLymphovascular space invasionEarly breast carcinomaAnalysis of patientsHazards regression modelsPathologic variablesReceptor statusDistant metastasisTumor characteristicsNode statusSpace invasionT classificationPatient populationMedical recordsBreast carcinomaCommon siteConcordance indexImmune modulation of pathologic complete response after neoadjuvant HER2-directed therapies in the NeoSphere trial
Bianchini G, Pusztai L, Pienkowski T, Im YH, Bianchi GV, Tseng LM, Liu MC, Lluch A, Galeota E, Magazzù D, de la Haba-Rodríguez J, Oh DY, Poirier B, Pedrini JL, Semiglazov V, Valagussa P, Gianni L. Immune modulation of pathologic complete response after neoadjuvant HER2-directed therapies in the NeoSphere trial. Annals Of Oncology 2015, 26: 2429-2436. PMID: 26387142, DOI: 10.1093/annonc/mdv395.Peer-Reviewed Original ResearchThe cell cycle regulator 14-3-3σ opposes and reverses cancer metabolic reprogramming
Phan L, Chou PC, Velazquez-Torres G, Samudio I, Parreno K, Huang Y, Tseng C, Vu T, Gully C, Su CH, Wang E, Chen J, Choi HH, Fuentes-Mattei E, Shin JH, Shiang C, Grabiner B, Blonska M, Skerl S, Shao Y, Cody D, Delacerda J, Kingsley C, Webb D, Carlock C, Zhou Z, Hsieh YC, Lee J, Elliott A, Ramirez M, Bankson J, Hazle J, Wang Y, Li L, Weng S, Rizk N, Wen YY, Lin X, Wang H, Wang H, Zhang A, Xia X, Wu Y, Habra M, Yang W, Pusztai L, Yeung SC, Lee MH. The cell cycle regulator 14-3-3σ opposes and reverses cancer metabolic reprogramming. Nature Communications 2015, 6: 7530. PMID: 26179207, PMCID: PMC4507299, DOI: 10.1038/ncomms8530.Peer-Reviewed Original ResearchMeSH Keywords14-3-3 ProteinsAdultAgedAged, 80 and overBiomarkers, TumorBreast NeoplasmsCell Line, TumorDisease-Free SurvivalEnergy MetabolismExoribonucleasesFemaleGene Expression Regulation, NeoplasticGene Knockout TechniquesGlutamineGlycolysisHCT116 CellsHumansMiddle AgedOrganelle BiogenesisPrognosisProteolysisProto-Oncogene Proteins c-mycUbiquitinationYoung AdultConceptsCancer metabolic reprogrammingMetabolic reprogrammingRecurrence-free survival ratesMetabolic gene expressionBreast cancer patientsCellular energy metabolismHallmarks of cancerMajor metabolic processesTumor glucose uptakeExtensive reprogrammingMetabolic programsMitochondrial biogenesisGene expressionTumorigenic transformationCancer glycolysisMolecular mechanismsReprogrammingCancer patientsMetabolic processesMetabolic shift
2014
Differences in Gene and Protein Expression and the Effects of Race/Ethnicity on Breast Cancer Subtypes
Chavez-MacGregor M, Liu S, De Melo-Gagliato D, Chen H, Do KA, Pusztai L, Symmans W, Nair L, Hortobagyi GN, Mills GB, Meric-Bernstam F, Gonzalez-Angulo AM. Differences in Gene and Protein Expression and the Effects of Race/Ethnicity on Breast Cancer Subtypes. Cancer Epidemiology Biomarkers & Prevention 2014, 23: 316-323. PMID: 24296856, PMCID: PMC3946290, DOI: 10.1158/1055-9965.epi-13-0929.Peer-Reviewed Original Research
2013
Estrogen receptor (ER) mRNA expression and molecular subtype distribution in ER-negative/progesterone receptor-positive breast cancers
Itoh M, Iwamoto T, Matsuoka J, Nogami T, Motoki T, Shien T, Taira N, Niikura N, Hayashi N, Ohtani S, Higaki K, Fujiwara T, Doihara H, Symmans WF, Pusztai L. Estrogen receptor (ER) mRNA expression and molecular subtype distribution in ER-negative/progesterone receptor-positive breast cancers. Breast Cancer Research And Treatment 2013, 143: 403-409. PMID: 24337596, DOI: 10.1007/s10549-013-2763-z.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAnthracyclinesAntineoplastic Combined Chemotherapy ProtocolsBiomarkers, TumorBreast NeoplasmsBridged-Ring CompoundsFemaleGene Expression ProfilingHumansKi-67 AntigenMiddle AgedNeoadjuvant TherapyNeoplasm Recurrence, LocalReceptor, ErbB-2Receptors, EstrogenReceptors, ProgesteroneRNA, MessengerSurvival RateTaxoidsYoung AdultConceptsEstrogen receptor mRNA expressionPR-positive patientsTriple-negative cohortER-positive cancersTriple-negative cancersReceptor mRNA expressionProgesterone receptorBreast cancerMolecular subtypesER-negative/PR-positive tumorsProgesterone receptor-positive breast cancerReceptor-positive breast cancerRelapse-free survival rateMRNA expressionAdjuvant endocrine therapyMolecular subtype distributionPR-positive tumorsRoutine clinical assessmentSafe clinical approachLuminal-type cancersExpression of ESR1Adjuvant endocrineEndocrine therapyNeoadjuvant chemotherapyAffymetrix U133A gene chipsClinical 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
Response to Neoadjuvant Systemic Therapy for Breast Cancer in BRCA Mutation Carriers and Noncarriers: A Single-Institution Experience
Arun B, Bayraktar S, Liu DD, Barrera A, Atchley D, Pusztai L, Litton JK, Valero V, Meric-Bernstam F, Hortobagyi GN, Albarracin C. Response to Neoadjuvant Systemic Therapy for Breast Cancer in BRCA Mutation Carriers and Noncarriers: A Single-Institution Experience. Journal Of Clinical Oncology 2011, 29: 3739-3746. PMID: 21900106, PMCID: PMC4874218, DOI: 10.1200/jco.2011.35.2682.Peer-Reviewed Original ResearchConceptsNeoadjuvant systemic chemotherapyRelapse-free survivalBreast cancerOS ratesOverall survivalBRCA1 carriersBRCA statusBRCA2 mutationsKaplan-Meier product-limit methodPathologic complete response rateComplete response rateNeoadjuvant systemic therapySingle institution experienceEstrogen receptor negativityBRCA mutation carriersBRCA1 statusIndependent significant predictorsProduct-limit methodMultivariate logistic modelBRCA genetic testingSporadic breast cancerLogistic regression modelsBRCA noncarriersTrastuzumab useSystemic chemotherapy
2010
Predictors of Tumor Progression During Neoadjuvant Chemotherapy in Breast Cancer
Caudle AS, Gonzalez-Angulo AM, Hunt KK, Liu P, Pusztai L, Symmans WF, Kuerer HM, Mittendorf EA, Hortobagyi GN, Meric-Bernstam F. Predictors of Tumor Progression During Neoadjuvant Chemotherapy in Breast Cancer. Journal Of Clinical Oncology 2010, 28: 1821-1828. PMID: 20231683, PMCID: PMC2860366, DOI: 10.1200/jco.2009.25.3286.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overAnthracyclinesAntineoplastic Combined Chemotherapy ProtocolsBreast NeoplasmsBridged-Ring CompoundsCarcinoma, Ductal, BreastCarcinoma, LobularChemotherapy, AdjuvantDisease ProgressionFemaleHumansMiddle AgedNeoadjuvant TherapyReceptors, EstrogenReceptors, ProgesteroneSurvival RateTaxoidsTreatment OutcomeYoung AdultConceptsHigh Ki-67 scoreNeoadjuvant chemotherapyKi-67 scoreStable diseaseBreast cancerEstrogen receptorMultivariate analysisDistant disease-free survivalER/PR negativityFirst-line surgical approachTumor progressionMost breast cancer patientsDisease-free survivalStandard neoadjuvant chemotherapyCancer clinical stageAmerican Joint CommitteeBreast cancer patientsAfrican American raceAdvanced tumor stagePredictors of responseHigh nuclear gradeHigh tumor gradeNegative estrogen receptorNovel molecular predictorsPR negativityCyclophosphamide Dose Intensification May Circumvent Anthracycline Resistance of p53 Mutant Breast Cancers
Lehmann‐Che J, André F, Desmedt C, Mazouni C, Giacchetti S, Turpin E, Espié M, Plassa L, Marty M, Bertheau P, Sotiriou C, Piccart M, Symmans WF, Pusztai L, de Thé H. Cyclophosphamide Dose Intensification May Circumvent Anthracycline Resistance of p53 Mutant Breast Cancers. The Oncologist 2010, 15: 246-252. PMID: 20228131, PMCID: PMC3227956, DOI: 10.1634/theoncologist.2009-0243.Peer-Reviewed Original ResearchConceptsPathologic complete responseBreast cancer patientsCancer patientsDose intensificationDose intensityP53 statusAnthracycline resistanceHigh-dose cyclophosphamide administrationP53-mutant breast cancersAnthracycline-based regimensTriple-negative tumorsPretreatment tumor samplesMutant breast cancerChemotherapy regimensComplete responseER expressionCyclophosphamide administrationER- tumorsTumor responsePooled resultsBreast cancerYeast functional assayPatientsPredictive valueMultivariate analysis