2024
Datopotamab–deruxtecan in early-stage breast cancer: the sequential multiple assignment randomized I-SPY2.2 phase 2 trial
Khoury K, Meisel J, Yau C, Rugo H, Nanda R, Davidian M, Tsiatis B, Chien A, Wallace A, Arora M, Rozenblit M, Hershman D, Zimmer A, Clark A, Beckwith H, Elias A, Stringer-Reasor E, Boughey J, Nangia C, Vaklavas C, Omene C, Albain K, Kalinsky K, Isaacs C, Tseng J, Roussos Torres E, Thomas B, Thomas A, Sanford A, Balassanian R, Ewing C, Yeung K, Sauder C, Sanft T, Pusztai L, Trivedi M, Outhaythip A, Li W, Onishi N, Asare A, Beineke P, Norwood P, Brown-Swigart L, Hirst G, Matthews J, Moore B, Fraser Symmans W, Price E, Beedle C, Perlmutter J, Pohlmann P, Shatsky R, DeMichele A, Yee D, van ‘t Veer L, Hylton N, Esserman L. Datopotamab–deruxtecan in early-stage breast cancer: the sequential multiple assignment randomized I-SPY2.2 phase 2 trial. Nature Medicine 2024, 1-9. PMID: 39277671, DOI: 10.1038/s41591-024-03266-2.Peer-Reviewed Original ResearchBreast cancerLikelihood of pathologic complete responseTreatment strategiesPathologic complete response rateEarly-stage breast cancerEarly surgical resectionTaxane-based regimenComplete response ratePathological complete responsePhase 2 trialBreast cancer subtypesEffective personalized treatmentHigh-risk stageMagnetic resonance imagingComplete responseDoxorubicin-cyclophosphamideNeoadjuvant treatmentSurgical resectionOcular eventsEfficacy analysisPrimary endpointTumor subtypesNew agentsCancer subtypesPatients
2023
Variable Landscape of PD-L1 Expression in Breast Carcinoma as Detected by the DAKO 22C3 Immunohistochemistry Assay
Danziger N, Sokol E, Graf R, Hiemenz M, Maule J, Parimi V, Palmieri C, Pusztai L, Ross J, Huang R. Variable Landscape of PD-L1 Expression in Breast Carcinoma as Detected by the DAKO 22C3 Immunohistochemistry Assay. The Oncologist 2023, 28: 319-326. PMID: 36866462, PMCID: PMC10078903, DOI: 10.1093/oncolo/oyad025.Peer-Reviewed Original ResearchConceptsTriple-negative breast cancerPD-L1 expressionNegative triple negative breast cancerTNBC tissue samplesPD-L1 positivityPD-L1Dako 22C3Breast cancerDeath ligand 1 (PD-L1) immunohistochemistry (IHC) assaysPD-L1 groupNon-TNBC patientsTissue samplesComprehensive genomic profilingBreast cancer subtypesFoundationOne CDxImmunotherapy efficacyMetastatic sitesTNBC casesBC patientsBreast carcinomaPositive statusImmunohistochemistry assaysOptimum cutoffCancer subtypesGenomic profiling
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
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 I
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
Immune Gene Expression Is Associated with Genomic Aberrations in Breast Cancer
Safonov A, Jiang T, Bianchini G, Győrffy B, Karn T, Hatzis C, Pusztai L. Immune Gene Expression Is Associated with Genomic Aberrations in Breast Cancer. Cancer Research 2017, 77: 3317-3324. PMID: 28428277, DOI: 10.1158/0008-5472.can-16-3478.Peer-Reviewed Original ResearchConceptsTumor-infiltrating lymphocytesBreast cancer subtypesImmune infiltrationNeoantigen loadImmune surveillanceLower clonal heterogeneityCancer subtypesHigher immune gene expressionClonal heterogeneityImmune checkpoint inhibitorsMajor breast cancer subtypesFavorable prognostic factorTriple-negative cancersOverall mutation loadImmune gene expressionCheckpoint inhibitorsCancer Genome AtlasPrognostic factorsImmune metagenesBreast cancerCNV loadMutation loadGermline polymorphismsCancerCancer ResLong-Term Prognostic Risk After Neoadjuvant Chemotherapy Associated With Residual Cancer Burden and Breast Cancer Subtype
Symmans WF, Wei C, Gould R, Yu X, Zhang Y, Liu M, Walls A, Bousamra A, Ramineni M, Sinn B, Hunt K, Buchholz TA, Valero V, Buzdar AU, Yang W, Brewster AM, Moulder S, Pusztai L, Hatzis C, Hortobagyi GN. Long-Term Prognostic Risk After Neoadjuvant Chemotherapy Associated With Residual Cancer Burden and Breast Cancer Subtype. Journal Of Clinical Oncology 2017, 35: jco.2015.63.101. PMID: 28135148, PMCID: PMC5455352, DOI: 10.1200/jco.2015.63.1010.Peer-Reviewed Original ResearchMeSH KeywordsAntineoplastic Combined Chemotherapy ProtocolsBreast NeoplasmsChemotherapy, AdjuvantCyclophosphamideDisease-Free SurvivalDoxorubicinEpirubicinFemaleFluorouracilHumansMiddle AgedNeoadjuvant TherapyNeoplasm, ResidualPaclitaxelPhenotypePrognosisProspective StudiesReceptor, ErbB-2Receptors, EstrogenReceptors, ProgesteroneRisk AssessmentSurvival RateTime FactorsTrastuzumabTumor BurdenConceptsResidual cancer burdenPhenotypic subsetsNeoadjuvant chemotherapyValidation cohortPrognostic riskCancer burdenRCB classBreast cancerRCB indexRelapse-free survival estimatesRelapse-free survival rateHuman epidermal growth factor receptor 2Epidermal growth factor receptor 2Hormone receptorsOriginal development cohortGrowth factor receptor 2Clinical-pathologic variablesKaplan-Meier analysisLong-term prognosisLog-rank testIndependent validation cohortBreast cancer subtypesLong-term survivalFactor receptor 2Concurrent trastuzumab
2015
The Influence of Host Factors on the Prognosis of Breast Cancer: Stroma and Immune Cell Components as Cancer Biomarkers.
Karn T, Pusztai L, Rody A, Holtrich U, Becker S. The Influence of Host Factors on the Prognosis of Breast Cancer: Stroma and Immune Cell Components as Cancer Biomarkers. Current Cancer Drug Targets 2015, 15: 652-64. PMID: 26452382, DOI: 10.2174/156800961508151001101209.Peer-Reviewed Original ResearchConceptsBreast cancerPredictive markerImmune cellsStromal componentsHER2-positive breast cancerHigh lymphocytic infiltrationPositive breast cancerHER2-positive cancersImmune cell componentsNovel therapeutic optionsType breast cancerBreast cancer subtypesHost immunological responseImmunotherapeutic regimensClinical courseImmune markersLymphocytic infiltrationPositive cancersTherapeutic optionsInflammatory cellsClinical subtypingImmunological parametersClinical trialsImmune parametersImmunological response
2014
Mitochondrial dysfunction in some triple-negative breast cancer cell lines: role of mTOR pathway and therapeutic potential
Pelicano H, Zhang W, Liu J, Hammoudi N, Dai J, Xu RH, Pusztai L, Huang P. Mitochondrial dysfunction in some triple-negative breast cancer cell lines: role of mTOR pathway and therapeutic potential. Breast Cancer Research 2014, 16: 434. PMID: 25209360, PMCID: PMC4303115, DOI: 10.1186/s13058-014-0434-6.Peer-Reviewed Original ResearchMeSH KeywordsAdenosine TriphosphateCell Line, TumorElectron Transport Chain Complex ProteinsEnergy MetabolismFemaleGlucoseGlutathioneHumansHydrocarbons, BrominatedLactic AcidMitochondriaNADPOxidation-ReductionOxygen ConsumptionPropionatesReactive Oxygen SpeciesReceptor, ErbB-2Receptors, EstrogenReceptors, ProgesteroneSignal TransductionTOR Serine-Threonine KinasesTriple Negative Breast NeoplasmsConceptsTNBC cellsBreast cancer cellsBreast cancerCancer cellsPositive cellsMetabolic alterationsIntroductionTriple-negative breast cancerMTOR pathwayEstrogen receptor-positive cellsER-positive cellsEffective therapeutic approachReceptor-positive cellsBreast cancer subtypesBreast cancer cell linesEffective therapeutic strategyTriple-negative breast cancer cell linesCurrent chemotherapeutic agentsMalignant breast cancerProfound metabolic alterationsHigher glucose uptakeInhibition of glycolysisCancer cell linesPoor prognosisLower mitochondrial respirationMitochondrial respiration
2013
DNA Repair Gene Patterns as Prognostic and Predictive Factors in Molecular Breast Cancer Subtypes
Santarpia L, Iwamoto T, Di Leo A, Hayashi N, Bottai G, Stampfer M, André F, Turner NC, Symmans WF, Hortobágyi GN, Pusztai L, Bianchini G. DNA Repair Gene Patterns as Prognostic and Predictive Factors in Molecular Breast Cancer Subtypes. The Oncologist 2013, 18: 1063-1073. PMID: 24072219, PMCID: PMC3805146, DOI: 10.1634/theoncologist.2013-0163.Peer-Reviewed Original ResearchConceptsResidual invasive cancerHER2-negative tumorsInvasive cancerER-positive/HER2-negative tumorsPredictive valueUntreated breast cancer patientsAffymetrix gene expression profilesHER2-negative subgroupMolecular breast cancer subtypesTaxane/anthracyclinePathological complete responseER-positive tumorsAnthracycline-treated patientsHER2-positive tumorsBreast cancer patientsER-negative tumorsBreast cancer subtypesAnthracycline regimensComplete responseBetter prognosisClinical outcomesBC patientsPoor prognosisPredictive factorsPrognostic valueCorrelation of intratumor gene expression heterogeneity with chemotherapy sensitivity in breast cancer.
Natowicz R, Jiang T, Shi W, Qi Y, Delpech Y, Symmans W, Pusztai L. Correlation of intratumor gene expression heterogeneity with chemotherapy sensitivity in breast cancer. Journal Of Clinical Oncology 2013, 31: 1013-1013. DOI: 10.1200/jco.2013.31.15_suppl.1013.Peer-Reviewed Original ResearchPathologic complete responseBasal-like cancersBreast cancerNeoadjuvant chemotherapyChemotherapy sensitivityCancer subtypesLuminal B cancersDifferent molecular subtypesBreast cancer subtypesB cancersComplete responseLuminal cancersResidual diseaseMolecular subtypesStage ICancerGene signatureGreat heterogeneitySubtypesTumor heterogeneityChemotherapySignificant differences
2012
Prognostic evaluation of the B cell/IL-8 metagene in different intrinsic breast cancer subtypes
Hanker LC, Rody A, Holtrich U, Pusztai L, Ruckhaeberle E, Liedtke C, Ahr A, Heinrich TM, Sänger N, Becker S, Karn T. Prognostic evaluation of the B cell/IL-8 metagene in different intrinsic breast cancer subtypes. Breast Cancer Research And Treatment 2012, 137: 407-416. PMID: 23242614, DOI: 10.1007/s10549-012-2356-2.Peer-Reviewed Original ResearchMeSH KeywordsB-LymphocytesBreast NeoplasmsDisease-Free SurvivalFemaleFollow-Up StudiesGene Expression Regulation, NeoplasticHumansInterleukin-8Middle AgedOligonucleotide Array Sequence AnalysisPredictive Value of TestsPrognosisProportional Hazards ModelsReceptor, ErbB-2Receptors, EstrogenReceptors, ProgesteroneConceptsTriple-negative breast cancerCell/ILNegative breast cancerBreast cancer subtypesPrognostic valueBreast cancerBetter prognosisB cellsCancer subtypesIntrinsic breast cancer subtypesPrimary breast cancer samplesER-negative subtypesEvent-free survivalB cell signaturesHigher B cellsSignificant prognostic valueTriple-negative samplesBreast cancer samplesRoutine clinicopathological variablesOnly significant predictorSubtype-specific analysesTNBC subtypesClinicopathological variablesOutcome predictorsPrognostic evaluationHigh stearoyl-CoA desaturase 1 expression is associated with shorter survival in breast cancer patients
Holder AM, Gonzalez-Angulo AM, Chen H, Akcakanat A, Do KA, Fraser Symmans W, Pusztai L, Hortobagyi GN, Mills GB, Meric-Bernstam F. High stearoyl-CoA desaturase 1 expression is associated with shorter survival in breast cancer patients. Breast Cancer Research And Treatment 2012, 137: 319-327. PMID: 23208590, PMCID: PMC3556743, DOI: 10.1007/s10549-012-2354-4.Peer-Reviewed Original ResearchConceptsRelapse-free survivalShorter relapse-free survivalBreast cancerOverall survivalPatient ageMultivariable analysisClinical stageSCD1 levelsSCD1 expressionTumor subtypesStearoyl-CoA desaturase 1 expressionTriple-negative breast cancerMartingale residual plotsPrimary breast cancerSurvival of patientsBreast cancer patientsClinical pathologic characteristicsTumor clinical stageDesaturase 1 expressionBreast cancer subtypesBreast cancer cell linesExpression levelsRole of SCD1Fine needle aspiratesOverexpression of SCD1Distinct tumor protein p53 mutants in breast cancer subgroups
Dumay A, Feugeas J, Wittmer E, Lehmann‐Che J, Bertheau P, Espié M, Plassa L, Cottu P, Marty M, André F, Sotiriou C, Pusztai L, de Thé H. Distinct tumor protein p53 mutants in breast cancer subgroups. International Journal Of Cancer 2012, 132: 1227-1231. PMID: 22886769, DOI: 10.1002/ijc.27767.Peer-Reviewed Original ResearchConceptsBasal tumorsLuminal tumorsMolecular apocrine tumoursDifferent breast cancer subtypesBreast cancer subgroupsBreast cancer subtypesP53 mutation statusApocrine tumorsTumor protein p53Molecular apocrineCancer subgroupsBreast cancerTP53 alterationsMutation statusBreast tumorsLoss of functionCancer subtypesTumorsComplex mutationsP53 gainHigh frequencyHigh rateDifferent functional consequencesMissense mutationsProtein p53DNA repair metagene signature as a prognostic and predictive factor in molecular breast cancer subtypes.
Santarpia L, Iwamoto T, Di Leo A, Hayashi N, Stampfer M, Guarducci C, Symmans W, Hortobagyi G, Pusztai L, Giampaolo B. DNA repair metagene signature as a prognostic and predictive factor in molecular breast cancer subtypes. Journal Of Clinical Oncology 2012, 30: 1012-1012. DOI: 10.1200/jco.2012.30.15_suppl.1012.Peer-Reviewed Original ResearchPathological complete responseHigher pathological complete responseBreast cancer molecular subtypesTaxane-based regimensTaxane-containing regimensCisplatin-containing regimensMolecular breast cancer subtypesTaxane-based chemotherapyPotential predictive markerBreast cancer subtypesCancer molecular subtypesBC cell linesFalse discovery correctionDistant relapseComplete responseBetter prognosisPoor prognosisPredictive factorsPrognostic valueBC subtypesER-/HER2Predictive markerN patientsPrognostic markerMolecular subtypesMutation profiling identifies numerous rare drug targets and distinct mutation patterns in different clinical subtypes of breast cancers
Santarpia L, Qi Y, Stemke-Hale K, Wang B, Young EJ, Booser DJ, Holmes FA, O’Shaughnessy J, Hellerstedt B, Pippen J, Vidaurre T, Gomez H, Valero V, Hortobagyi GN, Symmans WF, Bottai G, Di Leo A, Gonzalez-Angulo AM, Pusztai L. Mutation profiling identifies numerous rare drug targets and distinct mutation patterns in different clinical subtypes of breast cancers. Breast Cancer Research And Treatment 2012, 134: 333-343. PMID: 22538770, PMCID: PMC3885980, DOI: 10.1007/s10549-012-2035-3.Peer-Reviewed Original ResearchConceptsTriple-negative breast cancerBreast cancer subtypesBreast cancerPIK3CA mutationsCancer subtypesEstrogen receptor-positive cancersBreast cancer molecular subtypesMajor breast cancer subtypesSingle needle biopsyProspective clinical trialsReceptor-positive cancersDifferent breast cancer subtypesDifferent clinical subtypesNegative breast cancerCancer molecular subtypesFine-needle aspirationMutation patternsClinical subtypesClinical trialsNeedle biopsyMolecular subtypesNeedle aspirationInvestigational drugsStage IFBXW7 mutations
2011
P4-03-04: Identification of Molecular Targets for Cancer-Initiating Cells Using a Triple-Negative Breast Cancer Mouse Model.
Kai K, Iwamoto T, Pusztai L, Hortobagyi G, Saya H, Ueno N. P4-03-04: Identification of Molecular Targets for Cancer-Initiating Cells Using a Triple-Negative Breast Cancer Mouse Model. Cancer Research 2011, 71: p4-03-04-p4-03-04. DOI: 10.1158/0008-5472.sabcs11-p4-03-04.Peer-Reviewed Original ResearchTriple-negative breast cancerTumor-initiating activityCancer-initiating cellsHuman triple-negative breast cancerTNBC mouse modelMammary fat padHigh tumor-initiating activityMouse modelTumor cellsRecipient miceClinical aggressivenessBreast cancerMouse mammary epithelial cellsFat padTriple-negative breast cancer mouse modelBackground Triple-negative breast cancerBreast cancer mouse modelAnti-HER2 agentsMouse mammary fat padMolecular profileBreast cancer subtypesCancer mouse modelEndothelin-A receptorExpression levelsCancer initiating cellsSystemic Adjuvant Therapy for Stage I Breast Cancer
Pusztai L, Kelly C. Systemic Adjuvant Therapy for Stage I Breast Cancer. 2011, 269-281. DOI: 10.1007/978-94-007-0489-3_11.Peer-Reviewed Original ResearchStage I breast cancerI breast cancerMultivariable prediction modelBreast cancerAdjuvant therapyHuman epidermal growth factor 2 (HER2) receptor statusER-positive breast cancerSystemic adjuvant therapyCo-morbid illnessLymph node statusNottingham Prognostic IndexBetter risk stratificationIndependent prognostic factorBreast cancer biologyBreast cancer subtypesClinical factorsLymphovascular invasionPrognostic factorsReceptor statusRisk stratificationNode statusPrognostic indexPrognostic valueTumor sizeHistological grade
2010
Gene Pathways Associated With Prognosis and Chemotherapy Sensitivity in Molecular Subtypes of Breast Cancer
Iwamoto T, Bianchini G, Booser D, Qi Y, Coutant C, Shiang CY, Santarpia L, Matsuoka J, Hortobagyi GN, Symmans WF, Holmes FA, O’Shaughnessy J, Hellerstedt B, Pippen J, Andre F, Simon R, Pusztai L. Gene Pathways Associated With Prognosis and Chemotherapy Sensitivity in Molecular Subtypes of Breast Cancer. Journal Of The National Cancer Institute 2010, 103: 264-272. PMID: 21191116, DOI: 10.1093/jnci/djq524.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAntineoplastic Combined Chemotherapy ProtocolsBiomarkers, TumorBreast NeoplasmsChemotherapy, AdjuvantConfounding Factors, EpidemiologicCytochrome P-450 Enzyme InhibitorsCytochrome P-450 Enzyme SystemDatabases, GeneticDrug Resistance, NeoplasmFemaleGene Expression Regulation, NeoplasticGTP-Binding ProteinsHumansMiddle AgedNeoadjuvant TherapyNeoplasm StagingPredictive Value of TestsPrognosisReceptors, EstrogenSignal TransductionTreatment OutcomeConceptsER-negative breast cancerPathological complete responseER-positive cancersER-negative cancersBreast cancerChemotherapy responseComplete responseBetter prognosisChemotherapy sensitivityLymph node-negative breast cancerNode-negative breast cancerSystemic adjuvant therapyCell cycle-related gene setsBreast cancer subtypesIngenuity Pathway AnalysisAdjuvant therapyPreoperative chemotherapyPoor prognosisPooled analysisEstrogen receptorTreatment responseMolecular subtypesAdditional cohortPrognosisStage I
2009
Secreted Frizzled Receptor Protein 1 (sFRP-1) as Both a Potential Novel Biomarker of Triple Negative Breast Cancer (TNBC), and Its Sensitivity Against Taxane/Anthracycline Containing Neoadjuvant Chemotherapy.
Liedtke C, Ruckert C, Goette M, von Wahlde M, Kiesel L, Symmans W, Pusztai L. Secreted Frizzled Receptor Protein 1 (sFRP-1) as Both a Potential Novel Biomarker of Triple Negative Breast Cancer (TNBC), and Its Sensitivity Against Taxane/Anthracycline Containing Neoadjuvant Chemotherapy. Cancer Research 2009, 69: 4047-4047. DOI: 10.1158/0008-5472.sabcs-09-4047.Peer-Reviewed Original ResearchTriple-negative breast cancerRelapse-free survivalNegative breast cancerNeoadjuvant chemotherapyBreast cancerKi67 expressionTriple-negative breast cancer (TNBC) phenotypeNovel markerProtein 1Breast cancer phenotypeExpression of Ki67Breast cancer subtypesSFRP-1Breast cancer cell linesMDA-MB-468 breast cancer cell linePotential novel biomarkersCell linesSFRP-1 expressionNegative cell linesAnthracycline chemotherapyCancer cell linesFree survivalSystemic therapyUnfavorable prognosisNovel biomarkers