2023
Biomarkers predicting response to 5 immunotherapy arms in the neoadjuvant I-SPY2 trial for early-stage breast cancer (BC): Evaluation of immune subtyping in the response predictive subtypes (RPS).
Wolf D, Yau C, Campbell M, Glas A, Mittempergher L, Kuilman M, Barcaru A, Brown Swigart L, Nanda R, Chien A, Pusztai L, Stringer-Reasor E, Shatsky R, Isaacs C, Perlmutter J, DeMichele A, Yee D, Esserman L, van 't Veer L. Biomarkers predicting response to 5 immunotherapy arms in the neoadjuvant I-SPY2 trial for early-stage breast cancer (BC): Evaluation of immune subtyping in the response predictive subtypes (RPS). Journal Of Clinical Oncology 2023, 41: 102-102. DOI: 10.1200/jco.2023.41.16_suppl.102.Peer-Reviewed Original ResearchPCR rateBreast cancerImmune markersSerious immune-related adverse eventsImmune-related adverse eventsHER2-negative breast cancerEarly-stage breast cancerI-SPY2 trialLower mast cellTumor immune signatureChemokines/cytokinesSingle-sample classifierImmune subtypingImmunotherapy armI-SPY2Therapy armAdverse eventsReceptor statusControl armDrug classesMast cellsLogistic regressionBenjamini-Hochberg methodHR subsetTumor cells
2022
Prediction of pathologic complete response to neoadjuvant chemotherapy in breast cancer (SWOG S0800) using image analysis-based tumor infiltrating lymphocyte measurements.
Blenman K, Fanucci K, Bai Y, Pelekanou V, Nahleh Z, Shafi S, Burela S, Barlow W, Sharma P, Thompson A, Godwin A, Rimm D, Hortobagyi G, Pusztai L. Prediction of pathologic complete response to neoadjuvant chemotherapy in breast cancer (SWOG S0800) using image analysis-based tumor infiltrating lymphocyte measurements. Journal Of Clinical Oncology 2022, 40: 594-594. DOI: 10.1200/jco.2022.40.16_suppl.594.Peer-Reviewed Original ResearchPathologic complete responseBreast cancerNeoadjuvant chemotherapyComplete responseTIL scoreResidual diseaseResponse predictive markersBetter EFSBevacizumab benefitLymphocyte measurementsTIL assessmentFree survivalPredictive markerTIL quantificationInternational guidelinesPretreatment samplesLogistic regressionCancerOutcome discriminationChemotherapyScoresContinuous scoresTumorsClinical adoptionStrong positive correlation
2017
Effects of neoadjuvant chemotherapy (NAC) on tumor infiltrating lymphocytes (TIL) and PD-L1 expression in the SWOG S0800 clinical trial.
Pelekanou V, Barlow W, von Wahlde M, Wasserman B, Lo Y, Hayes D, Hortobagyi G, Gralow J, Tripathy D, Livingston R, Porter P, Nahleh Z, Rimm D, Pusztai L. Effects of neoadjuvant chemotherapy (NAC) on tumor infiltrating lymphocytes (TIL) and PD-L1 expression in the SWOG S0800 clinical trial. Journal Of Clinical Oncology 2017, 35: 519-519. DOI: 10.1200/jco.2017.35.15_suppl.519.Peer-Reviewed Original ResearchPD-L1 expressionNeoadjuvant chemotherapyNAC armTIL countClinical trialsImmune parametersNAC samplesBaseline PD-L1 expressionPathologic complete response rateDose-dense doxorubicinComplete response ratePD-L1 immunohistochemistryHER2-negative casesMinority of casesNab-paclitaxelResidual diseaseMean changeResponse rateLogistic regressionTILsBaselineEpithelial cellsHigh PCRChemotherapyTumors
2010
Higher parity and shorter breastfeeding duration
Shinde SS, Forman MR, Kuerer HM, Yan K, Peintinger F, Hunt KK, Hortobagyi GN, Pusztai L, Symmans WF. Higher parity and shorter breastfeeding duration. Cancer 2010, 116: 4933-4943. PMID: 20665494, DOI: 10.1002/cncr.25443.Peer-Reviewed Original ResearchConceptsTriple-negative BCInvasive breast cancerDuration of breastfeedingBreast cancer phenotypeHigher parityOdds ratioBreast cancerTriple-negative breast cancer (TNBC) phenotypeConsecutive case seriesMultivariate logistic regressionConfidence intervalsAfrican American ethnicityCancer phenotypeShort durationCase seriesFamily historyNegative BCProgenitor cell populationsYounger ageLogistic regressionBreastfeedingAmerican ethnicityDemographic informationCell populationsAgeAssessment of an RNA interference screen-derived mitotic and ceramide pathway metagene as a predictor of response to neoadjuvant paclitaxel for primary triple-negative breast cancer: a retrospective analysis of five clinical trials
Juul N, Szallasi Z, Eklund AC, Li Q, Burrell RA, Gerlinger M, Valero V, Andreopoulou E, Esteva FJ, Symmans WF, Desmedt C, Haibe-Kains B, Sotiriou C, Pusztai L, Swanton C. Assessment of an RNA interference screen-derived mitotic and ceramide pathway metagene as a predictor of response to neoadjuvant paclitaxel for primary triple-negative breast cancer: a retrospective analysis of five clinical trials. The Lancet Oncology 2010, 11: 358-365. PMID: 20189874, DOI: 10.1016/s1470-2045(10)70018-8.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAntineoplastic Combined Chemotherapy ProtocolsArea Under CurveBreast NeoplasmsCeramidesDrug Screening Assays, AntitumorFemaleHumansLogistic ModelsMetagenomicsMiddle AgedMitosisModels, GeneticMultivariate AnalysisNeoadjuvant TherapyPaclitaxelPredictive Value of TestsRetrospective StudiesRNA InterferenceConceptsTriple-negative breast cancerPathological complete responseMultivariate logistic regressionBreast cancerClinical trialsPrimary triple-negative breast cancerEpidermal growth factor receptor 2Logistic regressionBreast Cancer Research FoundationAddition of taxanesPaclitaxel-containing chemotherapyClinical trial cohortProportion of patientsCohort of patientsGrowth factor receptor 2Paclitaxel combination chemotherapyUK Medical Research CouncilAlternative treatment regimensPredictors of responseCancer Research UKBreast cancer cell linesTriple-negative breast cancer cell linesFactor receptor 2Cancer Research FoundationCell lines