2021
The Way of the Future: Personalizing Treatment Plans Through Technology.
Liefaard MC, Lips EH, Wesseling J, Hylton NM, Lou B, Mansi T, Pusztai L. The Way of the Future: Personalizing Treatment Plans Through Technology. American Society Of Clinical Oncology Educational Book 2021, 41: 1-12. PMID: 33793316, DOI: 10.1200/edbk_320593.Peer-Reviewed Original ResearchConceptsComputer-aided solution
2015
Tumor profiling and the incidentalome: patient decisions and risks
Hofstatter E, Mehra K, Yushak M, Pusztai L. Tumor profiling and the incidentalome: patient decisions and risks. Future Oncology 2015, 11: 3299-3305. PMID: 26562094, DOI: 10.2217/fon.15.260.BooksConceptsTumor profilingField of oncologyTumor DNA sequencesOncology patientsIncidental discoveryPatient educationPatient's perspectivePatient decisionOncology communityClinical implicationsPatient healthGermline mutationsCancer medicineGenetic sequencingCancer therapyTherapyPotential riskRiskHealthPatientsIncidentalomeMainstayDiseaseOncologyProfiling
2013
Proliferation and estrogen signaling can distinguish patients at risk for early versus late relapse among estrogen receptor positive breast cancers
Bianchini G, Pusztai L, Karn T, Iwamoto T, Rody A, Kelly C, Müller V, Schmidt M, Qi Y, Holtrich U, Becker S, Santarpia L, Fasolo A, Del Conte G, Zambetti M, Sotiriou C, Haibe-Kains B, Symmans WF, Gianni L. Proliferation and estrogen signaling can distinguish patients at risk for early versus late relapse among estrogen receptor positive breast cancers. Breast Cancer Research 2013, 15: r86. PMID: 24060333, PMCID: PMC3978752, DOI: 10.1186/bcr3481.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAntineoplastic Agents, HormonalBiomarkers, TumorBreast NeoplasmsCell ProliferationChemoradiotherapy, AdjuvantEstrogensFemaleFollow-Up StudiesGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMiddle AgedMitosisNeoplasm GradingNeoplasm MetastasisNeoplasm Recurrence, LocalNeoplasm StagingPrognosisReceptors, EstrogenRiskSignal TransductionTamoxifenConceptsNode-negative tumorsLate relapseNeoadjuvant letrozoleEndocrine therapyEarly relapseNegative tumorsBreast cancerEstrogen receptor-positive breast cancerProliferation markersReceptor-positive breast cancerER-positive breast cancerAdjuvant endocrine therapyAffymetrix gene expression profilesExtended endocrine therapyTamoxifen-treated patientsER-positive patientsGenomic grade indexPositive breast cancerRisk of recurrenceRisk of relapseEstrogen receptor activitySmall independent cohortEstrogen-related genesAdjuvant tamoxifenSystemic therapy
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 cohortA Genomic Predictor of Response and Survival Following Taxane-Anthracycline Chemotherapy for Invasive Breast Cancer
Hatzis C, Pusztai L, Valero V, Booser DJ, Esserman L, Lluch A, Vidaurre T, Holmes F, Souchon E, Wang H, Martin M, Cotrina J, Gomez H, Hubbard R, Chacón JI, Ferrer-Lozano J, Dyer R, Buxton M, Gong Y, Wu Y, Ibrahim N, Andreopoulou E, Ueno NT, Hunt K, Yang W, Nazario A, DeMichele A, O’Shaughnessy J, Hortobagyi GN, Symmans WF. A Genomic Predictor of Response and Survival Following Taxane-Anthracycline Chemotherapy for Invasive Breast Cancer. JAMA 2011, 305: 1873-1881. PMID: 21558518, PMCID: PMC5638042, DOI: 10.1001/jama.2011.593.Peer-Reviewed Original ResearchMeSH KeywordsAdultAlgorithmsAnthracyclinesAntineoplastic Agents, HormonalAntineoplastic Combined Chemotherapy ProtocolsBiopsy, NeedleBreast NeoplasmsBridged-Ring CompoundsDisease-Free SurvivalDrug Resistance, NeoplasmFemaleForecastingGene Expression ProfilingGenes, erbB-2Genes, NeoplasmGenomicsHumansMiddle AgedNeoadjuvant TherapyNeoplasm Recurrence, LocalOligonucleotide Array Sequence AnalysisPredictive Value of TestsPrognosisProspective StudiesReceptors, EstrogenRiskTaxoidsConceptsDistant relapse-free survivalInvasive breast cancerBreast cancerGenomic predictorsD. Anderson Cancer CenterAnthracycline-based regimensER-negative subsetExcellent pathologic responseProspective multicenter studyRelapse-free survivalAbsolute risk reductionStandard cancer treatmentPredictors of responseIndependent validation cohortAnderson Cancer CenterNegative breast cancerCancer treatment strategiesSequential taxaneNeoadjuvant chemotherapyPreoperative chemotherapyPathologic responseWorse survivalEndocrine sensitivityER statusMulticenter study