2017
Association Between Genomic Metrics and Immune Infiltration in Triple-Negative Breast Cancer
Karn T, Jiang T, Hatzis C, Sänger N, El-Balat A, Rody A, Holtrich U, Becker S, Bianchini G, Pusztai L. Association Between Genomic Metrics and Immune Infiltration in Triple-Negative Breast Cancer. JAMA Oncology 2017, 3: 1707-1711. PMID: 28750120, PMCID: PMC5824276, DOI: 10.1001/jamaoncol.2017.2140.Peer-Reviewed Original ResearchMeSH KeywordsBiomarkers, TumorCohort StudiesGene DosageGene Expression ProfilingGene Expression Regulation, NeoplasticGenetic HeterogeneityHumansImmunologic SurveillanceLymphocyte CountLymphocytes, Tumor-InfiltratingPrognosisSequence Analysis, DNASequence Analysis, RNASurvival AnalysisTriple Negative Breast NeoplasmsConceptsTriple-negative breast cancerImmune infiltrationTNBC cohortBetter prognosisPrognostic categoriesPoor prognosisInverse associationBreast cancerImmune surveillanceImmune checkpoint inhibitor therapyMore effective immunotherapy strategiesSubset of TNBCLow immune cell infiltrationClonal heterogeneityCheckpoint inhibitor therapySelection of patientsImmune cell infiltrationEffective immunotherapy strategiesIndependent validation cohortPatient survival informationLymphocyte countImmunotherapy strategiesInhibitor therapyNeoantigen loadValidation cohortLong-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
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 sizeCohortCancerA 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