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
2020
Validation of an immunomodulatory gene signature algorithm to predict response to neoadjuvant immunochemotherapy in patients with primary triple-negative breast cancer.
Iwase T, Pusztai L, Blenman K, Li X, Seitz R, Nielsen T, Schweitzer B, Hout D, Bailey D, Zhang X, Shen Y, Ueno N. Validation of an immunomodulatory gene signature algorithm to predict response to neoadjuvant immunochemotherapy in patients with primary triple-negative breast cancer. Journal Of Clinical Oncology 2020, 38: 3117-3117. DOI: 10.1200/jco.2020.38.15_suppl.3117.Peer-Reviewed Original ResearchPrimary triple-negative breast cancerTriple-negative breast cancerPathological complete responsePD-L1 IHCIM subtypesPredictive valueNeoadjuvant immunochemotherapyBreast cancerPhase I/II trialPretreatment core-needle biopsiesAntigen-presenting immune cellsPossible predictive markerImmune cell populationsImmune cell processesCore needle biopsyNegative predictive valuePositive predictive valueStrong predictive valuePositive likelihood ratioNegative likelihood ratioImmunomodulatory subtypeNeoadjuvant immunotherapyII trialLikelihood ratioComplete response
2014
Open-label randomized clinical trial of standard neoadjuvant chemotherapy with paclitaxel followed by FEC versus the combination of paclitaxel and everolimus followed by FEC in women with triple receptor-negative breast cancer †
Gonzalez-Angulo AM, Akcakanat A, Liu S, Green MC, Murray JL, Chen H, Palla SL, Koenig KB, Brewster AM, Valero V, Ibrahim NK, Moulder-Thompson S, Litton JK, Tarco E, Moore J, Flores P, Crawford D, Dryden MJ, Symmans WF, Sahin A, Giordano SH, Pusztai L, Do K, Mills GB, Hortobagyi GN, Meric-Bernstam F. Open-label randomized clinical trial of standard neoadjuvant chemotherapy with paclitaxel followed by FEC versus the combination of paclitaxel and everolimus followed by FEC in women with triple receptor-negative breast cancer †. Annals Of Oncology 2014, 25: 1122-1127. PMID: 24669015, PMCID: PMC4037860, DOI: 10.1093/annonc/mdu124.Peer-Reviewed Original ResearchConceptsTriple-negative breast cancerPathological complete responseStandard neoadjuvant chemotherapyNeoadjuvant chemotherapyReverse phase protein arrayBreast cancerPrimary triple-negative breast cancerMTOR pathwayReceptor-negative breast cancerTriple receptor-negative breast cancerAddition of everolimusGrade 3 pneumonitisGrade 3/4 stomatitisPI3K/AKT/mTOR pathwayRash/desquamationClinical response rateGrade 3/4 toxicitiesPhase II studyClinical end pointsCombination of paclitaxelAKT/mTOR pathwayDirect antiproliferative activityBreast cancer cellsDownregulation of mTORII study
2013
The 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
2010
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
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