2023
Vitamin D Insufficiency as a Risk Factor for Paclitaxel-Induced Peripheral Neuropathy in SWOG S0221.
Chen C, Zirpoli G, Barlow W, Budd G, McKiver B, Pusztai L, Hortobagyi G, Albain K, Damaj M, Godwin A, Thompson A, Henry N, Ambrosone C, Stringer K, Hertz D. Vitamin D Insufficiency as a Risk Factor for Paclitaxel-Induced Peripheral Neuropathy in SWOG S0221. Journal Of The National Comprehensive Cancer Network 2023, 21: 1172-1180.e3. PMID: 37935109, PMCID: PMC10976748, DOI: 10.6004/jnccn.2023.7062.Peer-Reviewed Original ResearchConceptsChemotherapy-induced peripheral neuropathyVitamin D insufficiencyD insufficiencyVitamin DPaclitaxel scheduleMechanical hypersensitivityPeripheral neuropathyRisk factorsDeficient dietPaclitaxel-Induced Peripheral NeuropathyEarly-stage breast cancerPaclitaxel-containing chemotherapyVitamin D supplementationSufficient vitamin DVitamin D deficiencyBody mass indexMultiple logistic regressionSelf-reported raceD supplementationD deficiencySensitized miceProspective trialFemale patientsMass indexPredictive biomarkersMore than bad luck: Cancer and aging are linked to replication-driven changes to the epigenome
Minteer C, Thrush K, Gonzalez J, Niimi P, Rozenblit M, Rozowsky J, Liu J, Frank M, McCabe T, Sehgal R, Higgins-Chen A, Hofstatter E, Pusztai L, Beckman K, Gerstein M, Levine M. More than bad luck: Cancer and aging are linked to replication-driven changes to the epigenome. Science Advances 2023, 9: eadf4163. PMID: 37467337, PMCID: PMC10355820, DOI: 10.1126/sciadv.adf4163.Peer-Reviewed Original ResearchConceptsStem cell divisionImmortalized human cellsTissue-specific cancer riskTumorigenic stateCell divisionDNA methylationEpigenetic changesAge-related accumulationHuman cellsMultiple tissuesSomatic mutationsClinical tissuesTissue differencesEpigenomeCellsTissueNormal tissuesMethylationMutationsReplicationNormal breast tissueSignaturesVitroAccumulationDivision
2019
Defining Risk of Late Recurrence in Early-Stage Estrogen Receptor–Positive Breast Cancer: Clinical Versus Molecular Tools
Foldi J, O'Meara T, Marczyk M, Sanft T, Silber A, Pusztai L. Defining Risk of Late Recurrence in Early-Stage Estrogen Receptor–Positive Breast Cancer: Clinical Versus Molecular Tools. Journal Of Clinical Oncology 2019, 37: jco.18.01933. PMID: 30943126, DOI: 10.1200/jco.18.01933.Peer-Reviewed Original Research
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
Bone Density Screening in Postmenopausal Women With Early-Stage Breast Cancer Treated With Aromatase Inhibitors
Stratton J, Hu X, Soulos PR, Davidoff AJ, Pusztai L, Gross CP, Mougalian SS. Bone Density Screening in Postmenopausal Women With Early-Stage Breast Cancer Treated With Aromatase Inhibitors. JCO Oncology Practice 2017, 13: jop.2016.018341. PMID: 28267392, DOI: 10.1200/jop.2016.018341.Peer-Reviewed Original ResearchConceptsBaseline DXA scanAromatase inhibitorsBreast cancerDXA scansPostmenopausal womenAI treatmentBaseline bone mineral density testingDual-energy X-ray absorptiometry scanBone mineral density testingBone mineral density evaluationEarly-stage breast cancerX-ray absorptiometry scansBone density screeningOlder Medicare beneficiariesMultivariable logistic regressionSEER-Medicare databaseRepeat DXA scansAI therapyBisphosphonate usePatient characteristicsRetrospective analysisWhite raceMedicare beneficiariesOsteoporosis diagnosisStage I
2014
Gene Signature–Guided Dasatinib Therapy in Metastatic Breast Cancer
Pusztai L, Moulder S, Altan M, Kwiatkowski D, Valero V, Ueno NT, Esteva FJ, Avritscher R, Qi Y, Strauss L, Hortobagyi GN, Hatzis C, Symmans WF. Gene Signature–Guided Dasatinib Therapy in Metastatic Breast Cancer. Clinical Cancer Research 2014, 20: 5265-5271. PMID: 25172932, DOI: 10.1158/1078-0432.ccr-14-0800.Peer-Reviewed Original ResearchConceptsMetastatic breast cancerBreast cancerPredictive gene signaturesGene signatureClinical benefitBiopsy-related adverse eventsSingle-agent activityStable diseaseDasatinib therapyAdverse eventsUnderwent biopsyUnselected patientsPreclinical evidenceUnexpected toxicitiesThree-armPatientsSingle agentMolecular testingCLIA laboratoryDasatinib responseDasatinibBiopsyGene expression profilingCancerExpression profiling
2012
Agreement in Risk Prediction Between the 21‐Gene Recurrence Score Assay (Oncotype DX®) and the PAM50 Breast Cancer Intrinsic Classifier™ in Early‐Stage Estrogen Receptor–Positive Breast Cancer
Kelly CM, Bernard PS, Krishnamurthy S, Wang B, Ebbert MT, Bastien RR, Boucher KM, Young E, Iwamoto T, Pusztai L. Agreement in Risk Prediction Between the 21‐Gene Recurrence Score Assay (Oncotype DX®) and the PAM50 Breast Cancer Intrinsic Classifier™ in Early‐Stage Estrogen Receptor–Positive Breast Cancer. The Oncologist 2012, 17: 492-498. PMID: 22418568, PMCID: PMC3336833, DOI: 10.1634/theoncologist.2012-0007.Peer-Reviewed Original ResearchConceptsBreast cancerEstrogen receptorEarly-stage estrogen receptor-positive breast cancerRisk assignmentHuman epidermal growth factor receptor 2 (HER2) expressionEpidermal growth factor receptor 2 expressionEstrogen receptor-positive breast cancerReceptor-positive breast cancerIntermediate RS groupLuminal B cancersReceptor 2 expressionLow-risk categoryQuantitative polymerase chain reactionB cancersMore patientsPolymerase chain reactionIntermediate RSLower riskStage IRS groupCancerPAM50Risk categoriesRisk predictionChain reaction
2011
Artificial neural network analysis of circulating tumor cells in metastatic breast cancer patients
Giordano A, Giuliano M, De Laurentiis M, Eleuteri A, Iorio F, Tagliaferri R, Hortobagyi GN, Pusztai L, De Placido S, Hess K, Cristofanilli M, Reuben JM. Artificial neural network analysis of circulating tumor cells in metastatic breast cancer patients. Breast Cancer Research And Treatment 2011, 129: 451-458. PMID: 21710134, DOI: 10.1007/s10549-011-1645-5.Peer-Reviewed Original ResearchMeSH KeywordsBiomarkers, TumorBreast NeoplasmsFemaleHumansImmunohistochemistryKaplan-Meier EstimateLinear ModelsMiddle AgedNeoplastic Cells, CirculatingNeural Networks, ComputerPrognosisProportional Hazards ModelsReceptor, ErbB-2Receptors, EstrogenReceptors, ProgesteroneRetrospective StudiesRisk AssessmentRisk FactorsSurvival RateTexasTime FactorsConceptsMetastatic breast cancer patientsRisk of deathBreast cancer patientsCTC countMBC patientsPrognostic effectCancer patientsTumor subtypesTumor cellsMD Anderson Cancer CenterConsecutive MBC patientsTriple-negative MBCMetastatic disease sitesAnderson Cancer CenterTumor molecular subtypeNumber of CTCsMolecular tumor subtypesVisceral metastasesOverall survivalCancer CenterHER2 statusProgesterone receptorMolecular subtypesTherapy typePrognostic toolMultifactorial Approach to Predicting Resistance to Anthracyclines
Desmedt C, Di Leo A, de Azambuja E, Larsimont D, Haibe-Kains B, Selleslags J, Delaloge S, Duhem C, Kains JP, Carly B, Maerevoet M, Vindevoghel A, Rouas G, Lallemand F, Durbecq V, Cardoso F, Salgado R, Rovere R, Bontempi G, Michiels S, Buyse M, Nogaret JM, Qi Y, Symmans F, Pusztai L, D'Hondt V, Piccart-Gebhart M, Sotiriou C. Multifactorial Approach to Predicting Resistance to Anthracyclines. Journal Of Clinical Oncology 2011, 29: 1578-1586. PMID: 21422418, DOI: 10.1200/jco.2010.31.2231.Peer-Reviewed Original ResearchMeSH KeywordsAntibiotics, AntineoplasticAntigens, NeoplasmBiomarkers, TumorBiopsyBreast NeoplasmsChemotherapy, AdjuvantDNA Topoisomerases, Type IIDNA-Binding ProteinsDrug Resistance, NeoplasmEpirubicinEuropeFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMiddle AgedNeoadjuvant TherapyOdds RatioPatient SelectionPoly-ADP-Ribose Binding ProteinsPredictive Value of TestsProspective StudiesReceptor, ErbB-2Receptors, EstrogenReproducibility of ResultsRisk AssessmentRisk FactorsTexasTreatment FailureConceptsPathologic complete responseHuman epidermal growth factor receptor 2Neoadjuvant trialsTOP trialPredictive valueEstrogen receptor-negative tumorsEpidermal growth factor receptor 2High negative predictive valuePrimary end pointGrowth factor receptor 2Receptor-negative tumorsResponse/resistanceFactor receptor 2Negative predictive valueUseful clinical toolER-negative samplesA scoresAnthracycline monotherapyEvaluable patientsGene expression signaturesComplete responseBreast cancerImmune responseReceptor 2Patients
2010
Genomic Index of Sensitivity to Endocrine Therapy for Breast Cancer
Symmans WF, Hatzis C, Sotiriou C, Andre F, Peintinger F, Regitnig P, Daxenbichler G, Desmedt C, Domont J, Marth C, Delaloge S, Bauernhofer T, Valero V, Booser DJ, Hortobagyi GN, Pusztai L. Genomic Index of Sensitivity to Endocrine Therapy for Breast Cancer. Journal Of Clinical Oncology 2010, 28: 4111-4119. PMID: 20697068, PMCID: PMC2953969, DOI: 10.1200/jco.2010.28.4273.Peer-Reviewed Original ResearchMeSH KeywordsAntineoplastic Agents, HormonalAromatase InhibitorsBiomarkers, TumorBreast NeoplasmsChemotherapy, AdjuvantChi-Square DistributionDisease-Free SurvivalEstrogen Receptor alphaFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticGenomicsHumansMiddle AgedNeoplasm StagingOligonucleotide Array Sequence AnalysisPatient SelectionProportional Hazards ModelsRisk AssessmentRisk FactorsSurvival AnalysisTamoxifenTime FactorsTranscription, GeneticTreatment OutcomeConceptsAdjuvant endocrine therapyEndocrine therapyBreast cancerDistant relapseER-positive breast cancerChemo-endocrine therapyDistant relapse riskYears of tamoxifenAdjuvant systemic therapyEstrogen receptor αBreast cancer samplesPrior chemotherapyNeoadjuvant chemotherapyPathologic responseSurvival benefitSystemic therapyUntreated cohortRelapse riskDeath riskTherapy indexAromatase inhibitionESR1 levelsReceptor αTamoxifenTherapyHigher parity and shorter breastfeeding duration
Shinde SS, Forman MR, Kuerer HM, Yan K, Peintinger F, Hunt KK, Hortobagyi GN, Pusztai L, Symmans WF. Higher parity and shorter breastfeeding duration. Cancer 2010, 116: 4933-4943. PMID: 20665494, DOI: 10.1002/cncr.25443.Peer-Reviewed Original ResearchConceptsTriple-negative BCInvasive breast cancerDuration of breastfeedingBreast cancer phenotypeHigher parityOdds ratioBreast cancerTriple-negative breast cancer (TNBC) phenotypeConsecutive case seriesMultivariate logistic regressionConfidence intervalsAfrican American ethnicityCancer phenotypeShort durationCase seriesFamily historyNegative BCProgenitor cell populationsYounger ageLogistic regressionBreastfeedingAmerican ethnicityDemographic informationCell populationsAgeNomogram 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 records
2009
Triple-negative breast cancer—current status and future directions
Gluz O, Liedtke C, Gottschalk N, Pusztai L, Nitz U, Harbeck N. Triple-negative breast cancer—current status and future directions. Annals Of Oncology 2009, 20: 1913-1927. PMID: 19901010, DOI: 10.1093/annonc/mdp492.Peer-Reviewed Original ResearchConceptsTriple-negative breast cancerBasal-like breast cancerBreast cancerBreast cancer—current statusStandard cytotoxic chemotherapy regimensHuman epidermal growth factor receptor 2Epidermal growth factor receptor 2Common cytotoxic agentsCytotoxic chemotherapy regimensGrowth factor receptor 2Factor receptor 2Chemotherapy regimensClinical featuresUnfavorable prognosisProgesterone receptorLack of expressionNovel agentsReceptor 2Cytotoxic agentsPrognosisComplete concordanceCancerGene expression analysisHigh-throughput gene expression analysisRegimens
1998
Discouraging news for high-dose chemotherapy in high-risk breast cancer
Pusztai L, Hortobagyi G. Discouraging news for high-dose chemotherapy in high-risk breast cancer. The Lancet 1998, 352: 501-502. PMID: 9716049, DOI: 10.1016/s0140-6736(05)79310-7.Peer-Reviewed Original Research