2011
Maximizing biomarker discovery by minimizing gene signatures
Chang C, Wang J, Zhao C, Fostel J, Tong W, Bushel PR, Deng Y, Pusztai L, Symmans WF, Shi T. Maximizing biomarker discovery by minimizing gene signatures. BMC Genomics 2011, 12: s6. PMID: 22369133, PMCID: PMC3287502, DOI: 10.1186/1471-2164-12-s5-s6.Peer-Reviewed Original ResearchMelanoma 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 responseA 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
2010
Effect of training-sample size and classification difficulty on the accuracy of genomic predictors
Popovici V, Chen W, Gallas B, Hatzis C, Shi W, Samuelson FW, Nikolsky Y, Tsyganova M, Ishkin A, Nikolskaya T, Hess KR, Valero V, Booser D, Delorenzi M, Hortobagyi GN, Shi L, Symmans WF, Pusztai L. Effect of training-sample size and classification difficulty on the accuracy of genomic predictors. Breast Cancer Research 2010, 12: r5. PMID: 20064235, PMCID: PMC2880423, DOI: 10.1186/bcr2468.Peer-Reviewed Original Research