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
Evaluating Serum Thymidine Kinase 1 in Hormone Receptor Positive Metastatic Breast Cancer Patients Receiving First Line Endocrine Therapy in the SWOG S0226 Trial
Paoletti C, Barlow WE, Cobain EF, Bergqvist M, Mehta RS, Gralow JR, Hortobagyi GN, Albain KS, Pusztai L, Sharma P, Godwin AK, Thompson AM, Hayes DF, Rae JM. Evaluating Serum Thymidine Kinase 1 in Hormone Receptor Positive Metastatic Breast Cancer Patients Receiving First Line Endocrine Therapy in the SWOG S0226 Trial. Clinical Cancer Research 2021, 27: clincanres.1562.2021. PMID: 34521624, PMCID: PMC8595696, DOI: 10.1158/1078-0432.ccr-21-1562.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overAntineoplastic Agents, HormonalAntineoplastic Combined Chemotherapy ProtocolsBreast NeoplasmsClinical Trials as TopicFemaleHumansKaplan-Meier EstimateMiddle AgedPrognosisReceptor, ErbB-2Receptors, EstrogenReceptors, ProgesteroneRetrospective StudiesThymidine KinaseTreatment OutcomeConceptsProgression-free survivalMetastatic breast cancerFirst-line endocrine therapyOverall survivalEndocrine therapyHormone receptor-positive metastatic breast cancer patientsHormone receptor-positive metastatic breast cancerPositive metastatic breast cancer patientsSubsequent progression-free survivalMetastatic breast cancer patientsWorse progression-free survivalCombination endocrine therapySerum thymidine kinase 1Trial of anastrozoleThymidine kinase 1 activityBreast cancer patientsLog-rank testLine endocrine therapyDu/LAdjuvant tamoxifenPrognostic effectCox regressionPoor prognosisWorse prognosisKaplan-MeierPredicted sensitivity to endocrine therapy for stage II-III hormone receptor-positive and HER2-negative (HR+/HER2−) breast cancer before chemo-endocrine therapy
Du L, Yau C, Brown-Swigart L, Gould R, Krings G, Hirst G, Bedrosian I, Layman R, Carter J, Klein M, Venters S, Shad S, van der Noordaa M, Chien A, Haddad T, Isaacs C, Pusztai L, Albain K, Nanda R, Tripathy D, Liu M, Boughey J, Schwab R, Hylton N, DeMichele A, Perlmutter J, Yee D, Berry D, Veer L, Valero V, Esserman L, Symmans W. Predicted sensitivity to endocrine therapy for stage II-III hormone receptor-positive and HER2-negative (HR+/HER2−) breast cancer before chemo-endocrine therapy. Annals Of Oncology 2021, 32: 642-651. PMID: 33617937, DOI: 10.1016/j.annonc.2021.02.011.Peer-Reviewed Original ResearchConceptsResidual cancer burdenI-SPY2 trialIndependent prognostic informationPrognostic informationBreast cancerPrognostic signaturePre-treatment tumor biopsiesHER2-negative breast cancerStage IIDistant relapse-free survivalMultivariate Cox regression modelHuman epidermal growth factor receptor 2Epidermal growth factor receptor 2Chemo-endocrine therapyEndocrine-based treatmentAdjuvant endocrine therapyGrowth factor receptor 2Primary outcome measureRelapse-free survivalSimilar prognostic informationCox regression modelMolecular prognostic signaturesNegative breast cancerFactor receptor 2MDACC cohortPatterns of treatment with everolimus exemestane in hormone receptor-positive HER2-negative metastatic breast cancer in the era of targeted therapy
Rozenblit M, Mun S, Soulos P, Adelson K, Pusztai L, Mougalian S. Patterns of treatment with everolimus exemestane in hormone receptor-positive HER2-negative metastatic breast cancer in the era of targeted therapy. Breast Cancer Research 2021, 23: 14. PMID: 33514405, PMCID: PMC7844919, DOI: 10.1186/s13058-021-01394-y.Peer-Reviewed Original ResearchConceptsPrior endocrine therapyEndocrine therapyMetastatic breast cancerEffective treatment optionTreatment optionsBreast cancerMedian treatmentMedian OSEE therapyHormone receptor-positive HER2-negative metastatic breast cancerMultivariable Cox proportional hazards regression analysisHER2-negative metastatic breast cancerPrior treatmentCox proportional hazards regression analysisFirst-line therapy initiationProportional hazards regression analysisPrior treatment optionsLines of therapyProportion of patientsKaplan-Meier methodHazards regression analysisPatterns of treatmentElectronic health record-derived dataClinical trial dataOS benefit
2017
Association of LN Evaluation with Survival in Women Aged 70 Years or Older With Clinically Node-Negative Hormone Receptor Positive Breast Cancer
Chagpar AB, Hatzis C, Pusztai L, DiGiovanna MP, Moran M, Mougalian S, Sanft T, Evans S, Hofstatter E, Wilson LD, Lannin DR. Association of LN Evaluation with Survival in Women Aged 70 Years or Older With Clinically Node-Negative Hormone Receptor Positive Breast Cancer. Annals Of Surgical Oncology 2017, 24: 3073-3081. PMID: 28766195, DOI: 10.1245/s10434-017-5936-x.Peer-Reviewed Original ResearchConceptsBreast cancer-specific survivalLN evaluationPositive breast cancerOverall survivalBreast cancerHormone receptor-positive breast cancerWomen Aged 70 YearsReceptor-positive breast cancerLymph node evaluationCancer-specific survivalLower hazard rateLN surgeryBetter OSPatient ageSEER databasePatient selectionTumor characteristicsSEER dataPatientsNode evaluationHormone receptorsCancerSurvivalTreatment variablesNCDBLong-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
2016
Adaptive Randomization of Neratinib in Early Breast Cancer
Park JW, Liu MC, Yee D, Yau C, van 't Veer LJ, Symmans WF, Paoloni M, Perlmutter J, Hylton NM, Hogarth M, DeMichele A, Buxton MB, Chien AJ, Wallace AM, Boughey JC, Haddad TC, Chui SY, Kemmer KA, Kaplan HG, Isaacs C, Nanda R, Tripathy D, Albain KS, Edmiston KK, Elias AD, Northfelt DW, Pusztai L, Moulder SL, Lang JE, Viscusi RK, Euhus DM, Haley BB, Khan QJ, Wood WC, Melisko M, Schwab R, Helsten T, Lyandres J, Davis SE, Hirst GL, Sanil A, Esserman LJ, Berry DA. Adaptive Randomization of Neratinib in Early Breast Cancer. New England Journal Of Medicine 2016, 375: 11-22. PMID: 27406346, PMCID: PMC5259558, DOI: 10.1056/nejmoa1513750.Peer-Reviewed Original ResearchConceptsPathological complete responseComplete responseBreast cancerNeoadjuvant therapyStandard chemotherapyHuman epidermal growth factor receptor 2 (HER2) statusEpidermal growth factor receptor 2 statusBiomarker signaturesSerial magnetic resonance imagingI-SPY 2 TRIALTyrosine kinase inhibitor neratinibClinical stage IIPrimary end pointHormone receptor statusPhase 2 trialPhase 3 trialStandard neoadjuvant chemotherapyEarly breast cancerMultiple new agentsAdaptive randomizationNegative breast cancerConfirmatory phase 3 trialPhase 3 testingExperimental groupMagnetic resonance imaging
2015
Racial Differences in the Use and Outcome of Neoadjuvant Chemotherapy for Breast Cancer: Results From the National Cancer Data Base
Killelea BK, Yang VQ, Wang SY, Hayse B, Mougalian S, Horowitz NR, Chagpar AB, Pusztai L, Lannin DR. Racial Differences in the Use and Outcome of Neoadjuvant Chemotherapy for Breast Cancer: Results From the National Cancer Data Base. Journal Of Clinical Oncology 2015, 33: 4267-4276. PMID: 26598753, DOI: 10.1200/jco.2015.63.7801.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAntineoplastic Combined Chemotherapy ProtocolsAsianBiomarkers, TumorBlack or African AmericanBreast NeoplasmsCarcinoma, Ductal, BreastCarcinoma, LobularChemotherapy, AdjuvantComorbidityDatabases, FactualFemaleHispanic or LatinoHumansInsurance CoverageInsurance, HealthMiddle AgedNeoadjuvant TherapyNeoplasm GradingNeoplasm StagingReceptor, ErbB-2Receptors, EstrogenReceptors, ProgesteroneTreatment OutcomeTriple Negative Breast NeoplasmsUnited StatesWhite PeopleConceptsPathologic complete responseNational Cancer Data BaseNeoadjuvant chemotherapyBreast cancerEstrogen receptorWhite womenPositive tumorsAsian womenHuman epidermal growth factor receptor 2HER2-positive breast cancerEpidermal growth factor receptor 2Timing of chemotherapyClinical T stageGrowth factor receptor 2Triple-negative tumorsPatient's zip codeHigh-grade tumorsRacial differencesZip codesFactor receptor 2Chemotherapy useComorbidity indexComplete responseT stageGrade tumors
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
Estrogen receptor (ER) mRNA expression and molecular subtype distribution in ER-negative/progesterone receptor-positive breast cancers
Itoh M, Iwamoto T, Matsuoka J, Nogami T, Motoki T, Shien T, Taira N, Niikura N, Hayashi N, Ohtani S, Higaki K, Fujiwara T, Doihara H, Symmans WF, Pusztai L. Estrogen receptor (ER) mRNA expression and molecular subtype distribution in ER-negative/progesterone receptor-positive breast cancers. Breast Cancer Research And Treatment 2013, 143: 403-409. PMID: 24337596, DOI: 10.1007/s10549-013-2763-z.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAnthracyclinesAntineoplastic Combined Chemotherapy ProtocolsBiomarkers, TumorBreast NeoplasmsBridged-Ring CompoundsFemaleGene Expression ProfilingHumansKi-67 AntigenMiddle AgedNeoadjuvant TherapyNeoplasm Recurrence, LocalReceptor, ErbB-2Receptors, EstrogenReceptors, ProgesteroneRNA, MessengerSurvival RateTaxoidsYoung AdultConceptsEstrogen receptor mRNA expressionPR-positive patientsTriple-negative cohortER-positive cancersTriple-negative cancersReceptor mRNA expressionProgesterone receptorBreast cancerMolecular subtypesER-negative/PR-positive tumorsProgesterone receptor-positive breast cancerReceptor-positive breast cancerRelapse-free survival rateMRNA expressionAdjuvant endocrine therapyMolecular subtype distributionPR-positive tumorsRoutine clinical assessmentSafe clinical approachLuminal-type cancersExpression of ESR1Adjuvant endocrineEndocrine therapyNeoadjuvant chemotherapyAffymetrix U133A gene chipsThe prognostic impact of age in patients with triple-negative breast cancer
Liedtke C, Hess KR, Karn T, Rody A, Kiesel L, Hortobagyi GN, Pusztai L, Gonzalez-Angulo AM. The prognostic impact of age in patients with triple-negative breast cancer. Breast Cancer Research And Treatment 2013, 138: 591-599. PMID: 23460246, DOI: 10.1007/s10549-013-2461-x.Peer-Reviewed Original ResearchConceptsTriple-negative breast cancerOverall survivalPrognostic impactTumor gradeBreast cancerPrimary triple-negative breast cancerMultivariate analysisSignificant independent prognostic variablesAggressive systemic therapyIndependent prognostic variablesPatients 31Median DFSClinical characteristicsEffect of ageSystemic therapyYounger patientsNodal stageTumor sizePathological parametersPoor survivalPrognostic variablesPatientsAge groupsAgeCancer
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 SCD1Adjuvant Therapy in Stage I Carcinoma of the Breast: The Influence of Multigene Analyses and Molecular Phenotyping
Schwartz GF, Bartelink H, Burstein HJ, Cady B, Cataliotti L, Fentiman IS, Holland R, Hughes KS, Masood S, McCormick B, Palazzo JA, Pressman PI, Reis‐Filho J, Pusztai L, Rutgers EJ, Seidman AD, Solin LJ, Sparano JA. Adjuvant Therapy in Stage I Carcinoma of the Breast: The Influence of Multigene Analyses and Molecular Phenotyping. The Breast Journal 2012, 18: 303-311. PMID: 22759093, DOI: 10.1111/j.1524-4741.2012.01264.x.Peer-Reviewed Original ResearchConceptsStage I carcinomaAdjuvant therapyBreast cancerGene prognostic signaturePatient ageTumor sizeImmunohistochemical markersIndividual patientsConsensus conferencePrognostic signatureSteroid hormonesMolecular profilingNottingham indexMolecular phenotypingPatientsCarcinomaTherapyCancerBreastPrognosisPart of decisionHormoneMutation 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 mutationsA network-based, integrative study to identify core biological pathways that drive breast cancer clinical subtypes
Dutta B, Pusztai L, Qi Y, André F, Lazar V, Bianchini G, Ueno N, Agarwal R, Wang B, Shiang CY, Hortobagyi GN, Mills GB, Symmans WF, Balázsi G. A network-based, integrative study to identify core biological pathways that drive breast cancer clinical subtypes. British Journal Of Cancer 2012, 106: 1107-1116. PMID: 22343619, PMCID: PMC3304402, DOI: 10.1038/bjc.2011.584.Peer-Reviewed Original ResearchMeSH KeywordsBreast NeoplasmsCell Line, TumorComputer SimulationDNA Copy Number VariationsEpithelial-Mesenchymal TransitionFemaleGene ExpressionGene Expression ProfilingGene Expression Regulation, NeoplasticGene Knockdown TechniquesGene Regulatory NetworksGenes, NeoplasmHumansModels, BiologicalProtein Interaction MapsReceptor, ErbB-2Receptors, EstrogenReceptors, ProgesteroneRNA InterferenceConceptsGenome-scale dataCore biological pathwaysTriple receptor-negative breast cancerProtein-protein interactionsCell line data setsGene knockdown experimentsGene copy number dataCopy number dataCopy number variation dataNumber variation dataMember genesGene networksTranscriptional disturbancesKnockdown experimentsBiological discoveryGene expressionFunctional specificityBiological pathwaysDifferential expressionIntegrative studyFunctional relevanceVariation dataLine data setsCell linesGenes
2011
Homogeneous Datasets of Triple Negative Breast Cancers Enable the Identification of Novel Prognostic and Predictive Signatures
Karn T, Pusztai L, Holtrich U, Iwamoto T, Shiang CY, Schmidt M, Müller V, Solbach C, Gaetje R, Hanker L, Ahr A, Liedtke C, Ruckhäberle E, Kaufmann M, Rody A. Homogeneous Datasets of Triple Negative Breast Cancers Enable the Identification of Novel Prognostic and Predictive Signatures. PLOS ONE 2011, 6: e28403. PMID: 22220191, PMCID: PMC3248403, DOI: 10.1371/journal.pone.0028403.Peer-Reviewed Original ResearchMeSH KeywordsBiomarkers, TumorBreast NeoplasmsCohort StudiesDatabases, GeneticFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticGenes, NeoplasmHumansKaplan-Meier EstimateNeoadjuvant TherapyPredictive Value of TestsPrognosisReceptor, ErbB-2Receptors, EstrogenReceptors, ProgesteroneReproducibility of ResultsConceptsPrognostic signatureValidation cohortBreast cancerPredictive valueTriple-negative breast cancerEvent-free survivalTriple-negative cancersHigh-risk groupIndependent validation cohortNegative breast cancerModest predictive valuePrognostic gene signaturePrognostic gene setsTNBC cohortNeoadjuvant chemotherapyPrognostic predictorPoor prognosisRisk groupsMultivariate analysisPredictive signatureNovel prognosticGene signatureSmall sample sizeCohortCancerGene expression profiling in breast cancer: classification, prognostication, and prediction
Reis-Filho JS, Pusztai L. Gene expression profiling in breast cancer: classification, prognostication, and prediction. The Lancet 2011, 378: 1812-1823. PMID: 22098854, DOI: 10.1016/s0140-6736(11)61539-0.Peer-Reviewed Original ResearchMeSH KeywordsBreast NeoplasmsFemaleGene Expression ProfilingHumansPrognosisReceptor, ErbB-2Receptors, EstrogenReceptors, ProgesteroneConceptsBreast cancerER-negative breast cancerGene expression profilingER-positive diseasePrognosis of patientsDistinct molecular aberrationsMolecular classification systemPotential clinical useClinical behaviorHistological featuresClinical trialsMolecular subtypesProliferation-related genesMultigene classifiersClinical practiceMolecular aberrationsExpression profilingCancerDistinct diseasesMultigene predictorsClinical useMolecular classificationDiseaseHeterogeneous groupDifferent diseasesMelanoma antigen family A identified by the bimodality index defines a subset of triple negative breast cancers as candidates for immune response augmentation
Karn T, Pusztai L, Ruckhäberle E, Liedtke C, Müller V, Schmidt M, Metzler D, Wang J, Coombes KR, Gätje R, Hanker L, Solbach C, Ahr A, Holtrich U, Rody A, Kaufmann M. Melanoma antigen family A identified by the bimodality index defines a subset of triple negative breast cancers as candidates for immune response augmentation. European Journal Of Cancer 2011, 48: 12-23. PMID: 21741824, DOI: 10.1016/j.ejca.2011.06.025.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overAlgorithmsBreast NeoplasmsCancer VaccinesCarcinomaFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHealth Status IndicatorsHumansImmunotherapyMelanoma-Specific AntigensMicroarray AnalysisMiddle AgedReceptor, ErbB-2Receptors, EstrogenReceptors, ProgesteroneConceptsTriple-negative breast cancerCancer/testis antigensNegative breast cancerBreast cancerTestis antigensMelanoma antigen family AHuman epidermal growth factor receptor 2 (HER2) receptorsImmune response augmentationImmune-stimulatory drugsMAGE-A antigensHigh expressionLymph node statusDistinct disease subsetsLess prognostic valueHigher MAGELow MAGEWorse survivalNode statusPoor prognosisPrognostic valueDisease subsetsImmune infiltrationPredictive markerImmune metagenesImmune responseArtificial 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 tool