2020
Early Modulation of Circulating MicroRNAs Levels in HER2-Positive Breast Cancer Patients Treated with Trastuzumab-Based Neoadjuvant Therapy
Di Cosimo S, Appierto V, Pizzamiglio S, Silvestri M, Baselga J, Piccart M, Huober J, Izquierdo M, de la Pena L, Hilbers FS, de Azambuja E, Untch M, Pusztai L, Pritchard K, Nuciforo P, Vincent-Salomon A, Symmans F, Apolone G, de Braud FG, Iorio MV, Verderio P, Daidone MG. Early Modulation of Circulating MicroRNAs Levels in HER2-Positive Breast Cancer Patients Treated with Trastuzumab-Based Neoadjuvant Therapy. International Journal Of Molecular Sciences 2020, 21: 1386. PMID: 32085669, PMCID: PMC7073028, DOI: 10.3390/ijms21041386.Peer-Reviewed Original ResearchConceptsPathological complete responseNeoadjuvant therapyHER2-positive breast cancer patientsTrastuzumab-based neoadjuvant therapyAvailable predictive biomarkersBreast cancer patientsEstrogen receptor statusComplete responseReceptor statusCancer patientsPredictive biomarkersTreatment responseHCC progressionPatientsPredictive valueBivariate analysisMean differencePlasma pairsTherapyEarly modulationMicroRNA levelsTrastuzumabMAPK signalingMetabolism regulationKEGG analysis
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
2015
Neoadjuvant Chemotherapy for Breast Cancer Increases the Rate of Breast Conservation: Results from the National Cancer Database
Killelea BK, Yang VQ, Mougalian S, Horowitz NR, Pusztai L, Chagpar AB, Lannin DR. Neoadjuvant Chemotherapy for Breast Cancer Increases the Rate of Breast Conservation: Results from the National Cancer Database. Journal Of The American College Of Surgeons 2015, 220: 1063-1069. PMID: 25868410, DOI: 10.1016/j.jamcollsurg.2015.02.011.Peer-Reviewed Original ResearchConceptsNational Cancer DatabaseNeoadjuvant chemotherapyBreast preservationBreast conservationTumor sizeCancer DatabaseDefinitive breast surgerySmall institutional seriesBreast cancer increasesAdvanced nodal diseaseInvasive breast cancerYounger patient ageBreast tumor sizeLarger tumor sizeMultivariate logistic regressionHigh tumor gradeAmerican Cancer SocietyAdjuvant chemotherapyNodal diseasePrimary surgeryT4 tumorsInstitutional seriesPatient ageRetrospective reviewDistant metastasis
2013
Bayesian Mixture Models for Assessment of Gene Differential Behaviour and Prediction of pCR through the Integration of Copy Number and Gene Expression Data
Trentini F, Ji Y, Iwamoto T, Qi Y, Pusztai L, Müller P. Bayesian Mixture Models for Assessment of Gene Differential Behaviour and Prediction of pCR through the Integration of Copy Number and Gene Expression Data. PLOS ONE 2013, 8: e68071. PMID: 23874497, PMCID: PMC3709899, DOI: 10.1371/journal.pone.0068071.Peer-Reviewed Original Research
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
Nomogram to Predict Subsequent Brain Metastasis in Patients With Metastatic Breast Cancer
Graesslin O, Abdulkarim BS, Coutant C, Huguet F, Gabos Z, Hsu L, Marpeau O, Uzan S, Pusztai L, Strom EA, Hortobagyi GN, Rouzier R, Ibrahim NK. Nomogram to Predict Subsequent Brain Metastasis in Patients With Metastatic Breast Cancer. Journal Of Clinical Oncology 2010, 28: 2032-2037. PMID: 20308667, DOI: 10.1200/jco.2009.24.6314.Peer-Reviewed Original ResearchConceptsSubsequent brain metastasesBrain metastasesMetastatic breast cancerBreast cancerPatient populationMethods Electronic medical recordsStage IV breast cancerHuman epidermal growth factor receptor 2Shorter disease-free survivalEpidermal growth factor receptor 2Multivariate logistic regression analysisDisease-free survivalGrowth factor receptor 2Logistic regression analysisDesign of trialsFactor receptor 2Cross Cancer InstituteElectronic medical recordsInstitutional review boardMetastatic diseaseMetastatic sitesPrevention trialsPrognostic featuresClinical nomogramMedical recordsAssessment of an RNA interference screen-derived mitotic and ceramide pathway metagene as a predictor of response to neoadjuvant paclitaxel for primary triple-negative breast cancer: a retrospective analysis of five clinical trials
Juul N, Szallasi Z, Eklund AC, Li Q, Burrell RA, Gerlinger M, Valero V, Andreopoulou E, Esteva FJ, Symmans WF, Desmedt C, Haibe-Kains B, Sotiriou C, Pusztai L, Swanton C. Assessment of an RNA interference screen-derived mitotic and ceramide pathway metagene as a predictor of response to neoadjuvant paclitaxel for primary triple-negative breast cancer: a retrospective analysis of five clinical trials. The Lancet Oncology 2010, 11: 358-365. PMID: 20189874, DOI: 10.1016/s1470-2045(10)70018-8.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAntineoplastic Combined Chemotherapy ProtocolsArea Under CurveBreast NeoplasmsCeramidesDrug Screening Assays, AntitumorFemaleHumansLogistic ModelsMetagenomicsMiddle AgedMitosisModels, GeneticMultivariate AnalysisNeoadjuvant TherapyPaclitaxelPredictive Value of TestsRetrospective StudiesRNA InterferenceConceptsTriple-negative breast cancerPathological complete responseMultivariate logistic regressionBreast cancerClinical trialsPrimary triple-negative breast cancerEpidermal growth factor receptor 2Logistic regressionBreast Cancer Research FoundationAddition of taxanesPaclitaxel-containing chemotherapyClinical trial cohortProportion of patientsCohort of patientsGrowth factor receptor 2Paclitaxel combination chemotherapyUK Medical Research CouncilAlternative treatment regimensPredictors of responseCancer Research UKBreast cancer cell linesTriple-negative breast cancer cell linesFactor receptor 2Cancer Research FoundationCell lines
2009
Direct comparison of logistic regression and recursive partitioning to predict chemotherapy response of breast cancer based on clinical pathological variables
Rouzier R, Coutant C, Lesieur B, Mazouni C, Incitti R, Natowicz R, Pusztai L. Direct comparison of logistic regression and recursive partitioning to predict chemotherapy response of breast cancer based on clinical pathological variables. Breast Cancer Research And Treatment 2009, 117: 325-331. PMID: 19152025, DOI: 10.1007/s10549-009-0308-2.Peer-Reviewed Original Research
2005
Nomograms to Predict Pathologic Complete Response and Metastasis-Free Survival After Preoperative Chemotherapy for Breast Cancer
Rouzier R, Pusztai L, Delaloge S, Gonzalez-Angulo AM, Andre F, Hess KR, Buzdar AU, Garbay JR, Spielmann M, Mathieu MC, Symmans WF, Wagner P, Atallah D, Valero V, Berry DA, Hortobagyi GN. Nomograms to Predict Pathologic Complete Response and Metastasis-Free Survival After Preoperative Chemotherapy for Breast Cancer. Journal Of Clinical Oncology 2005, 23: 8331-8339. PMID: 16293864, DOI: 10.1200/jco.2005.01.2898.Peer-Reviewed Original ResearchMeSH KeywordsAnthracyclinesAntibiotics, AntineoplasticAntineoplastic Combined Chemotherapy ProtocolsBreast NeoplasmsChemotherapy, AdjuvantDecision Making, Computer-AssistedDisease-Free SurvivalFemaleFranceHumansInternetLogistic ModelsMiddle AgedMultivariate AnalysisNeoadjuvant TherapyNomogramsPaclitaxelPredictive Value of TestsProportional Hazards ModelsReproducibility of ResultsTexasConceptsDistant metastasis-free survivalPathologic complete responseMetastasis-free survivalPreoperative chemotherapyComplete responseCox proportional hazards regression modelProportional hazards regression modelsM.D. Anderson Cancer CenterPreoperative chemotherapy cyclesSchedule of paclitaxelCombination of paclitaxelEstrogen receptor statusHazards regression modelsMultivariate logistic regressionInstitut Gustave RoussyAnderson Cancer CenterInclusion of paclitaxelClinical prediction modelChemotherapy cyclesReceptor statusClinical stageClinical variablesHistologic gradeCancer CenterPrediction nomogram