2023
Race, Gene Expression Signatures, and Clinical Outcomes of Patients With High-Risk Early Breast Cancer
Kyalwazi B, Yau C, Campbell M, Yoshimatsu T, Chien A, Wallace A, Forero-Torres A, Pusztai L, Ellis E, Albain K, Blaes A, Haley B, Boughey J, Elias A, Clark A, Isaacs C, Nanda R, Han H, Yung R, Tripathy D, Edmiston K, Viscusi R, Northfelt D, Khan Q, Asare S, Wilson A, Hirst G, Lu R, Symmans W, Yee D, DeMichele A, van ’t Veer L, Esserman L, Olopade O. Race, Gene Expression Signatures, and Clinical Outcomes of Patients With High-Risk Early Breast Cancer. JAMA Network Open 2023, 6: e2349646. PMID: 38153734, PMCID: PMC10755617, DOI: 10.1001/jamanetworkopen.2023.49646.Peer-Reviewed Original ResearchConceptsDistant recurrence-free survivalPathologic complete responseErbB2-negative tumorsWorse distant recurrence-free survivalEarly breast cancerWhite patientsBreast cancerBlack patientsGene expression signaturesReceptor subtypesStage II/III breast cancerHigh-risk early breast cancerCox proportional hazards regression modelHigh-risk breast cancerClinical trial end pointsProportional hazards regression modelsTumor receptor subtypeRetrospective cohort studyPrimary tumor sizeRecurrence-free survivalTrial end pointsBreast cancer outcomesLong-term outcomesHazards regression modelsExpression signatures
2015
Clinical nomogram to predict bone-only metastasis in patients with early breast carcinoma
Delpech Y, Bashour SI, Lousquy R, Rouzier R, Hess K, Coutant C, Barranger E, Esteva FJ, Ueno NT, Pusztai L, Ibrahim NK. Clinical nomogram to predict bone-only metastasis in patients with early breast carcinoma. British Journal Of Cancer 2015, 113: 1003-1009. PMID: 26393887, PMCID: PMC4651124, DOI: 10.1038/bjc.2015.308.Peer-Reviewed Original ResearchConceptsNon-metastatic breast cancerBreast cancerClinical nomogramCox proportional hazards regression modelProportional hazards regression modelsBone-targeted therapiesHormone receptor statusEarly breast cancerLymph node statusLymphovascular space invasionEarly breast carcinomaAnalysis of patientsHazards regression modelsPathologic variablesReceptor statusDistant metastasisTumor characteristicsNode statusSpace invasionT classificationPatient populationMedical recordsBreast carcinomaCommon siteConcordance index
2012
Evaluation of circulating biomarkers of bone metastasis in early-stage breast cancer.
Dean-Colomb W, Hess K, Young E, Gornet T, Handy B, Moulder S, Ibrahim N, Pusztai L, Booser D, Valero V, Hortobagyi G, Esteva F. Evaluation of circulating biomarkers of bone metastasis in early-stage breast cancer. Journal Of Clinical Oncology 2012, 30: 10613-10613. DOI: 10.1200/jco.2012.30.15_suppl.10613.Peer-Reviewed Original ResearchP1NP valuesInterleukin-6Breast cancerClinical factorsHazard ratioCox proportional hazards regression analysisCox proportional hazards regression modelElecsys 2010Proportional hazards regression analysisEarly-stage breast cancerProportional hazards regression modelsSerum P1NP levelsKaplan-Meier methodHazards regression analysisBone metastasis developmentHazards regression modelsProcollagen type 1Breast cancer recurrenceRoche Elecsys 2010Advanced diseaseP1NP levelsBone metastasesSerum levelsBone turnoverUnivariate analysis
2011
P2-12-06: Nomogram To Predict Subsequent Bone Metastasis in Patients with Non Metastatic Breast Carcinomas.
Lousquy R, Delpech Y, Rouzier R, Gligorov J, Hsu L, Barranger E, Pusztai L, Uzan S, Hortobagyi G, Coutant C, Ibrahim N. P2-12-06: Nomogram To Predict Subsequent Bone Metastasis in Patients with Non Metastatic Breast Carcinomas. Cancer Research 2011, 71: p2-12-06-p2-12-06. DOI: 10.1158/0008-5472.sabcs11-p2-12-06.Peer-Reviewed Original ResearchNon-metastatic breast cancerMetastatic breast cancerBreast cancerBone metastasesConcordance indexHigh riskCox proportional hazards regression modelNon-metastatic breast carcinomaMultivariate logistic regression analysisProportional hazards regression modelsM.D. Anderson Cancer CenterBreast cancer molecular subtypesMethods Medical recordsSubsequent bone metastasesLymph node statusLymphovascular space invasionSelection of patientsTime of diagnosisMetastatic breast carcinomaHazards regression modelsAnderson Cancer CenterCancer molecular subtypesLogistic regression analysisDesign of trialsAdjuvant hormonotherapy
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