2023
Breast cancers with high proliferation and low ER-related signalling have poor prognosis and unique molecular features with implications for therapy
Licata L, Barreca M, Galbardi B, Dugo M, Viale G, Győrffy B, Karn T, Pusztai L, Gianni L, Callari M, Bianchini G. Breast cancers with high proliferation and low ER-related signalling have poor prognosis and unique molecular features with implications for therapy. British Journal Of Cancer 2023, 129: 2025-2033. PMID: 37935787, PMCID: PMC10703787, DOI: 10.1038/s41416-023-02477-7.Peer-Reviewed Original ResearchConceptsNeoadjuvant chemotherapyPoor prognosisBreast cancerTreatment responseHigher pathological complete response rateResponse rateHigh pathological response ratePathological complete response ratePathological response rateComplete response rateHigher proliferationHigh recurrence riskMolecular featuresEndocrine therapyLower ERHigh TMBDismal outcomePIK3CA mutationsMethodsGene expression dataClinical dataT cellsPotential therapyRecurrence riskTumorsUnique molecular features
2022
Redefining breast cancer subtypes to guide treatment prioritization and maximize response: Predictive biomarkers across 10 cancer therapies
Wolf DM, Yau C, Wulfkuhle J, Brown-Swigart L, Gallagher RI, Lee PRE, Zhu Z, Magbanua MJ, Sayaman R, O’Grady N, Basu A, Delson A, Coppé JP, Lu R, Braun J, Investigators I, Asare SM, Sit L, Matthews JB, Perlmutter J, Hylton N, Liu MC, Pohlmann P, Symmans WF, Rugo HS, Isaacs C, DeMichele AM, Yee D, Berry DA, Pusztai L, Petricoin EF, Hirst GL, Esserman LJ, van 't Veer LJ. Redefining breast cancer subtypes to guide treatment prioritization and maximize response: Predictive biomarkers across 10 cancer therapies. Cancer Cell 2022, 40: 609-623.e6. PMID: 35623341, PMCID: PMC9426306, DOI: 10.1016/j.ccell.2022.05.005.Peer-Reviewed Original ResearchConceptsBreast cancer subtypesHormone receptorsHuman epidermal growth factor receptor 2 (HER2) statusCancer subtypesEpidermal growth factor receptor 2 statusPathologic complete response rateTreatment prioritizationComplete response ratePatient selectionPredictive biomarkersTreatment allocationPlatform trialsClinical dataLuminal phenotypeTreatment selectionResponse rateTumor biologyNew treatmentsDrug responseSubtypesCancer therapyBiomarkersProtein/phosphoproteinGene expressionDiverse biology
2018
An integrative bioinformatics approach reveals coding and non-coding gene variants associated with gene expression profiles and outcome in breast cancer molecular subtypes
Győrffy B, Pongor L, Bottai G, Li X, Budczies J, Szabó A, Hatzis C, Pusztai L, Santarpia L. An integrative bioinformatics approach reveals coding and non-coding gene variants associated with gene expression profiles and outcome in breast cancer molecular subtypes. British Journal Of Cancer 2018, 118: 1107-1114. PMID: 29559730, PMCID: PMC5931099, DOI: 10.1038/s41416-018-0030-0.Peer-Reviewed Original ResearchConceptsHER2-negative tumorsBreast cancer patientsCancer patientsER-positive/HER2-negative tumorsBreast cancer molecular subtypesMETABRIC data setMolecular breast cancer subtypesCox regression analysisBreast cancer subtypesCancer molecular subtypesGene expression profilesMann-Whitney U testRegression analysisMultivariate regression analysisPrognostic valueKaplan-MeierBreast cancerClinical dataDisease outcomeTCGA cohortGene expressionMolecular subtypesCancer-associated genesCancer-related genesClinical relevance
2017
Comparison of epigenetic aging in normal breast tissue from women with and without breast cancer.
Hofstatter E, Horvath S, Chagpar A, Wali V, Bossuyt V, Storniolo A, Patwardhan G, Von Wahlde M, Pusztai L. Comparison of epigenetic aging in normal breast tissue from women with and without breast cancer. Journal Of Clinical Oncology 2017, 35: 1522-1522. DOI: 10.1200/jco.2017.35.15_suppl.1522.Peer-Reviewed Original ResearchNormal breast tissueBreast cancerBreast tissueHealthy peersSusan G. Komen Tissue BankIU Simon Cancer CenterNormal breast tissue samplesBreast cancer preventionCohort of womenImportant risk factorKomen Tissue BankLifetime of womenBreast tissue samplesCurrent medicationsTumor characteristicsCancer CenterRisk factorsCancer preventionClinical dataFamily historyReduction mammoplastyHigh riskChronologic ageReproductive historyCancer
2013
Genome-wide gene expression profiling to predict resistance to anthracyclines in breast cancer patients
Haibe-Kains B, Desmedt C, Di Leo A, Azambuja E, Larsimont D, 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. Genome-wide gene expression profiling to predict resistance to anthracyclines in breast cancer patients. Data In Brief 2013, 1: 7-10. PMID: 26484051, PMCID: PMC4608867, DOI: 10.1016/j.gdata.2013.09.001.Peer-Reviewed Original ResearchBreast cancer patientsResponse/resistanceAnthracycline monotherapyNeoadjuvant trialsGene expression signaturesNegative tumorsCancer patientsBreast cancerClinical dataEstrogen receptorClinical OncologyPredictive valuePatientsAnthracyclinesGene expressionII alphaExpression signaturesGenome-wide gene expressionMonotherapyExpressionTumorsCancerOncologyTrialsBiomarkers
2007
Markers predicting clinical benefit in breast cancer from microtubule-targeting agents
Pusztai L. Markers predicting clinical benefit in breast cancer from microtubule-targeting agents. Annals Of Oncology 2007, 18: xii15-xii20. PMID: 18083698, DOI: 10.1093/annonc/mdm534.Peer-Reviewed Original ResearchConceptsMicrotubule-targeting agentsSubset of patientsEstrogen receptor negativityBreast cancer patientsNon-cross resistanceMicrotubule-associated protein tauMechanism of actionReceptor negativityClinical benefitPatient groupCancer patientsClinical trialsPoor responseHER2 amplificationClinical dataClinical studiesBreast cancerTaxane resistanceBetaIII-tubulinProtein tauP-glycoproteinPharmacogenomic analysisTaxanesLow expressionPatients
2000
Novel marine-derived anticancer agents: a phase I clinical, pharmacological, and pharmacodynamic study of dolastatin 10 (NSC 376128) in patients with advanced solid tumors.
Madden T, Tran H, Beck D, Huie R, Newman R, Pusztai L, Wright J, Abbruzzese J. Novel marine-derived anticancer agents: a phase I clinical, pharmacological, and pharmacodynamic study of dolastatin 10 (NSC 376128) in patients with advanced solid tumors. Clinical Cancer Research 2000, 6: 1293-301. PMID: 10778954.Peer-Reviewed Original ResearchConceptsConcentration-time curveDose levelsPhase IMajor nonhematological toxicityAntitumor activityAdvanced solid tumorsDose-limiting toxicityPlasma concentration-time dataEpisodes of thrombocytopeniaRapid distribution phaseParent drug concentrationsConcentration-time dataPercentage of declineVivo tumor modelsNonhematological toxicitiesObjective responseTwo-compartment modelSevere anemiaClinical PharmacokineticsCytokine supportPlasma levelsIntrapatient variabilityClinical dataNovel agentsPharmacodynamic studies