2024
Molecular characteristics of advanced colorectal cancer and multi-hit PIK3CA mutations
Yasin F, Sokol E, Vasan N, Pavlick D, Huang R, Pelletier M, Levy M, Pusztai L, Lacy J, Zhang J, Ross J, Cecchini M. Molecular characteristics of advanced colorectal cancer and multi-hit PIK3CA mutations. The Oncologist 2024, oyae259. PMID: 39401325, DOI: 10.1093/oncolo/oyae259.Peer-Reviewed Original ResearchAdvanced colorectal cancerPIK3CA mutationsColorectal cancerPI3K inhibitionPI3K inhibitorsBurden of colorectal cancerActivating mutationsResponse to PI3K inhibitionSensitive to PI3K inhibition.Foundation Medicine databaseMetastatic colorectal cancerClinically relevant mutationsMicrosatellite instability-highPI3K signalingTumor DNAPIK3CA variantsClinical carePIK3CA oncogeneClinical variablesE545KGenomic profilingPIK3CAE542KMedicine DatabasePatients
2019
Quantitative assessment of immune cell populations and associations with clinical outcomes in African-American (AA) versus Caucasian triple-negative breast cancer (TNBC).
O'Meara T, Yaghoobi V, Blenman K, Pelekanou V, Silber A, Rimm D, Pusztai L. Quantitative assessment of immune cell populations and associations with clinical outcomes in African-American (AA) versus Caucasian triple-negative breast cancer (TNBC). Journal Of Clinical Oncology 2019, 37: e14180-e14180. DOI: 10.1200/jco.2019.37.15_suppl.e14180.Peer-Reviewed Original ResearchTriple-negative breast cancerDisease-free survivalBetter disease-free survivalPD-L1 expressionCD68 expressionAA TNBCStromal PD-L1 expressionPD-L1 protein expressionCaucasian casesHigher TIL countsTumor immune microenvironmentImmune cell populationsHigh CD68 expressionHigh CD68Similar CD8Stromal TILsClinical characteristicsDiagnosis dateTIL countPD-L1Clinical outcomesPredictive factorsCD8 expressionClinical variablesImmune microenvironment
2012
A dendritic metagene that predicts prognosis and endocrine resistance in breast cancer.
Giampaolo B, Pusztai L, Qi Y, Iwamoto T, Kelly C, Zambetti M, Symmans W, Gianni L. A dendritic metagene that predicts prognosis and endocrine resistance in breast cancer. Journal Of Clinical Oncology 2012, 30: 545-545. DOI: 10.1200/jco.2012.30.15_suppl.545.Peer-Reviewed Original ResearchHazard ratioEndocrine resistanceBreast cancerNeoadjuvant endocrine therapyProliferative breast cancersAdjuvant tamoxifenEndocrine therapyDistant relapseFree survivalUntreated patientsBetter prognosisDendritic cellsEarly relapseOncotype DXPoor prognosisClinical variablesPoor responseUntreated tumorsLower riskMetagene signaturePredictive valueMultivariate analysisTumorsRelapsePrognosis
2011
First generation prognostic gene signatures for breast cancer predict both survival and chemotherapy sensitivity and identify overlapping patient populations
Iwamoto T, Lee JS, Bianchini G, Hubbard RE, Young E, Matsuoka J, Kim SB, Symmans WF, Hortobagyi GN, Pusztai L. First generation prognostic gene signatures for breast cancer predict both survival and chemotherapy sensitivity and identify overlapping patient populations. Breast Cancer Research And Treatment 2011, 130: 155. PMID: 21833625, DOI: 10.1007/s10549-011-1706-9.Peer-Reviewed Original ResearchConceptsLong-term survivalPrognostic gene signatureClinical variablesChemotherapy responseGenomic prognostic markersPrognostic markerPredictive valueKaplan-Meir survival curvesSignificant independent predictive valuePathologic complete responseProgression-free survivalLong-term followIndependent predictive valueSame patient cohortReceiver operator characteristic curveOperator characteristic curveOverall survivalPreoperative chemotherapyComplete responseNodal statusIndependent prognosticClinicopathological variablesPatient populationHER2 statusPatient cohort
2008
Estrogen Receptor Expression and Efficacy of Docetaxel-Containing Adjuvant Chemotherapy in Patients With Node-Positive Breast Cancer: Results From a Pooled Analysis
Andre F, Broglio K, Roche H, Martin M, Mackey JR, Penault-Llorca F, Hortobagyi GN, Pusztai L. Estrogen Receptor Expression and Efficacy of Docetaxel-Containing Adjuvant Chemotherapy in Patients With Node-Positive Breast Cancer: Results From a Pooled Analysis. Journal Of Clinical Oncology 2008, 26: 2636-2643. PMID: 18509176, DOI: 10.1200/jco.2007.14.9146.Peer-Reviewed Original ResearchConceptsER-negative patientsER-positive patientsRisk of recurrenceDocetaxel therapyER expressionER statusPooled analysisBreast cancerNode-positive breast cancerCox proportional hazards modelAdjuvant chemotherapy trialsDisease-free survivalEfficacy of docetaxelEstrogen receptor expressionPositive breast cancerRisk of deathRandomized clinical trialsProportional hazards modelAdjuvant chemotherapyAdjuvant docetaxelChemotherapy trialsOverall survivalDocetaxel efficacyRandomized trialsClinical variables
2006
Pharmacogenomic analysis of HER2 amplified breast cancer treated with preoperative trastuzumab and paclitaxel, 5-fluorouracil, epirubicin, cyclophosphamide (T/FEC) chemotherapy
Esteva F, Anderson K, Lin F, Nahta R, Mejia J, Altundag K, Buzdar A, Hortobagyi G, Symmans W, Pusztai L. Pharmacogenomic analysis of HER2 amplified breast cancer treated with preoperative trastuzumab and paclitaxel, 5-fluorouracil, epirubicin, cyclophosphamide (T/FEC) chemotherapy. Journal Of Clinical Oncology 2006, 24: 545-545. DOI: 10.1200/jco.2006.24.18_suppl.545.Peer-Reviewed Original ResearchBreast cancerOverall pathologic complete response ratePathologic complete response rateTrastuzumab-resistant cell linesAbsence of trastuzumabOnly preoperative chemotherapyComplete response rateReceptor mRNA expressionFine-needle aspirationConcomitant trastuzumabFEC chemotherapyPreoperative trastuzumabQuantitative estrogenCyclophosphamide chemotherapyPreoperative chemotherapyNodal statusResidual diseaseTumor sizeClinical variablesNuclear gradeNeedle aspirationPharmacogenomic predictorsMolecular predictorsResponse rateTrastuzumab
2005
Nomograms to Predict Pathologic Complete Response and Metastasis-Free Survival After Preoperative Chemotherapy for Breast Cancer
Rouzier R, Pusztai L, Delaloge S, Gonzalez-Angulo AM, Andre F, Hess KR, Buzdar AU, Garbay JR, Spielmann M, Mathieu MC, Symmans WF, Wagner P, Atallah D, Valero V, Berry DA, Hortobagyi GN. Nomograms to Predict Pathologic Complete Response and Metastasis-Free Survival After Preoperative Chemotherapy for Breast Cancer. Journal Of Clinical Oncology 2005, 23: 8331-8339. PMID: 16293864, DOI: 10.1200/jco.2005.01.2898.Peer-Reviewed Original ResearchMeSH KeywordsAnthracyclinesAntibiotics, AntineoplasticAntineoplastic Combined Chemotherapy ProtocolsBreast NeoplasmsChemotherapy, AdjuvantDecision Making, Computer-AssistedDisease-Free SurvivalFemaleFranceHumansInternetLogistic ModelsMiddle AgedMultivariate AnalysisNeoadjuvant TherapyNomogramsPaclitaxelPredictive Value of TestsProportional Hazards ModelsReproducibility of ResultsTexasConceptsDistant metastasis-free survivalPathologic complete responseMetastasis-free survivalPreoperative chemotherapyComplete responseCox proportional hazards regression modelProportional hazards regression modelsM.D. Anderson Cancer CenterPreoperative chemotherapy cyclesSchedule of paclitaxelCombination of paclitaxelEstrogen receptor statusHazards regression modelsMultivariate logistic regressionInstitut Gustave RoussyAnderson Cancer CenterInclusion of paclitaxelClinical prediction modelChemotherapy cyclesReceptor statusClinical stageClinical variablesHistologic gradeCancer CenterPrediction nomogram