2021
A Novel Immunomodulatory 27-Gene Signature to Predict Response to Neoadjuvant Immunochemotherapy for Primary Triple-Negative Breast Cancer
Iwase T, Blenman KRM, Li X, Reisenbichler E, Seitz R, Hout D, Nielsen TJ, Schweitzer BL, Bailey DB, Shen Y, Zhang X, Pusztai L, Ueno NT. A Novel Immunomodulatory 27-Gene Signature to Predict Response to Neoadjuvant Immunochemotherapy for Primary Triple-Negative Breast Cancer. Cancers 2021, 13: 4839. PMID: 34638323, PMCID: PMC8508147, DOI: 10.3390/cancers13194839.Peer-Reviewed Original ResearchPD-L1 expressionNeoadjuvant immunochemotherapyPrimary triple-negative breast cancerTriple-negative breast cancerPrecise predictive biomarkersImmunomodulatory subtypeNovel immunomodulatoryPrimary TNBCTNBC responsePCR ratePredictive biomarkersPrimary tumorIM subtypesBreast cancerImmunochemotherapyLarge cohortTNBCImmunohistochemistryPilot studySubtypesExpressionPCRDurvalumabPatientsCohort
2017
Bone metastasis-related signaling pathways in breast cancers stratified by estrogen receptor status
Hayashi N, Iwamoto T, Qi Y, Niikura N, Santarpia L, Yamauchi H, Nakamura S, Hortobagyi GN, Pusztai L, Symmans WF, Ueno NT. Bone metastasis-related signaling pathways in breast cancers stratified by estrogen receptor status. Journal Of Cancer 2017, 8: 1045-1052. PMID: 28529618, PMCID: PMC5436258, DOI: 10.7150/jca.13690.Peer-Reviewed Original ResearchER-negative breast cancerEstrogen receptor statusBone metastasesER statusBreast cancerReceptor statusHuman epidermal growth factor receptor 2Breast cancer bone metastasisEpidermal growth factor receptor 2Cox proportional hazards modelNon-bone metastasisGrowth factor receptor 2Cancer bone metastasisProportional hazards modelBreast cancer specimensInvasive breast cancer specimensFactor receptor 2Negative cohortCancer specimensHazards modelReceptor 2BCBMMetastasisCancerCohort
2014
Application of a dynamic retraining for each patient using case-specific training cohorts to predict survival in breast cancer patients.
Gyorffy B, Karn T, Sztupinszki Z, Weltz B, Muller V, Pusztai L. Application of a dynamic retraining for each patient using case-specific training cohorts to predict survival in breast cancer patients. Journal Of Clinical Oncology 2014, 32: 1065-1065. DOI: 10.1200/jco.2014.32.15_suppl.1065.Peer-Reviewed Original Research
2013
Comparison of molecular subtype distribution in triple-negative inflammatory and non-inflammatory breast cancers
Masuda H, Baggerly KA, Wang Y, Iwamoto T, Brewer T, Pusztai L, Kai K, Kogawa T, Finetti P, Birnbaum D, Dirix L, Woodward WA, Reuben JM, Krishnamurthy S, Symmans W, Van Laere SJ, Bertucci F, Hortobagyi GN, Ueno NT. Comparison of molecular subtype distribution in triple-negative inflammatory and non-inflammatory breast cancers. Breast Cancer Research 2013, 15: r112. PMID: 24274653, PMCID: PMC3978878, DOI: 10.1186/bcr3579.Peer-Reviewed Original ResearchConceptsInflammatory breast cancerTriple-negative breast cancerTN-IBCIBC statusTNBC subtypesBreast cancerTNBC cohortClinical outcomesNon-inflammatory breast cancerMolecular subtype distributionWorld IBC ConsortiumRecurrence-free survivalNon-inflammatory typeClinical characteristicsOverall survivalPoor prognosisClinical behaviorSubtype distributionConclusionsOur dataHeterogeneous diseaseSubtypesCancerSignificant predictorsGene expression profilesCohort
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 sizeCohortCancerPD03-02: Prognostic and Predictive Predictors for Triple Negative Breast Cancer.
Karn T, Pusztai L, Ruckhäberle E, Liedtke C, Schmidt M, Müller V, Gätje R, Hanker L, Ahr A, Holtrich U, Rody A, Kaufmann M. PD03-02: Prognostic and Predictive Predictors for Triple Negative Breast Cancer. Cancer Research 2011, 71: pd03-02-pd03-02. DOI: 10.1158/0008-5472.sabcs11-pd03-02.Peer-Reviewed Original ResearchTriple-negative breast cancerNegative breast cancerPrognostic signatureBreast cancerResponse of TNBCER-positive cancersPrognostic gene signatureMolecular phenotypesTNBC cohortNeoadjuvant chemotherapyHazard ratioBetter prognosisPrognostic predictorTherapeutic optionsPoor prognosisIndependent cohortPredictive valuePrognostic gene expression profilesMultivariate analysisGene signatureCancer ResCohortCancerPrognosisROC analysisConsistent metagenes from cancer expression profiles yield agent specific predictors of chemotherapy response
Li Q, Eklund AC, Birkbak NJ, Desmedt C, Haibe-Kains B, Sotiriou C, Symmans WF, Pusztai L, Brunak S, Richardson AL, Szallasi Z. Consistent metagenes from cancer expression profiles yield agent specific predictors of chemotherapy response. BMC Bioinformatics 2011, 12: 310. PMID: 21798043, PMCID: PMC3155975, DOI: 10.1186/1471-2105-12-310.Peer-Reviewed Original ResearchConceptsEarly-stage lung cancerStage lung cancerNegative breast cancerCancer treatment decisionsHuman tumor samplesNeoadjuvant therapyChemotherapy responseLung cancerBreast cancerTreatment decisionsIndependent cohortPrognostic classifierAccurate biomarkersCancer expression profilesTumor typesPotential biomarkersTumor samplesConclusionsThese resultsSpecific predictorsStrong associationReliable predictorCohortCancerPredictorsBiomarkers