2011
Artificial neural network analysis of circulating tumor cells in metastatic breast cancer patients
Giordano A, Giuliano M, De Laurentiis M, Eleuteri A, Iorio F, Tagliaferri R, Hortobagyi GN, Pusztai L, De Placido S, Hess K, Cristofanilli M, Reuben JM. Artificial neural network analysis of circulating tumor cells in metastatic breast cancer patients. Breast Cancer Research And Treatment 2011, 129: 451-458. PMID: 21710134, DOI: 10.1007/s10549-011-1645-5.Peer-Reviewed Original ResearchMeSH KeywordsBiomarkers, TumorBreast NeoplasmsFemaleHumansImmunohistochemistryKaplan-Meier EstimateLinear ModelsMiddle AgedNeoplastic Cells, CirculatingNeural Networks, ComputerPrognosisProportional Hazards ModelsReceptor, ErbB-2Receptors, EstrogenReceptors, ProgesteroneRetrospective StudiesRisk AssessmentRisk FactorsSurvival RateTexasTime FactorsConceptsMetastatic breast cancer patientsRisk of deathBreast cancer patientsCTC countMBC patientsPrognostic effectCancer patientsTumor subtypesTumor cellsMD Anderson Cancer CenterConsecutive MBC patientsTriple-negative MBCMetastatic disease sitesAnderson Cancer CenterTumor molecular subtypeNumber of CTCsMolecular tumor subtypesVisceral metastasesOverall survivalCancer CenterHER2 statusProgesterone receptorMolecular subtypesTherapy typePrognostic toolMultifactorial Approach to Predicting Resistance to Anthracyclines
Desmedt C, Di Leo A, de Azambuja E, Larsimont D, Haibe-Kains B, Selleslags J, Delaloge S, Duhem C, Kains JP, Carly B, Maerevoet M, Vindevoghel A, Rouas G, Lallemand F, Durbecq V, Cardoso F, Salgado R, Rovere R, Bontempi G, Michiels S, Buyse M, Nogaret JM, Qi Y, Symmans F, Pusztai L, D'Hondt V, Piccart-Gebhart M, Sotiriou C. Multifactorial Approach to Predicting Resistance to Anthracyclines. Journal Of Clinical Oncology 2011, 29: 1578-1586. PMID: 21422418, DOI: 10.1200/jco.2010.31.2231.Peer-Reviewed Original ResearchMeSH KeywordsAntibiotics, AntineoplasticAntigens, NeoplasmBiomarkers, TumorBiopsyBreast NeoplasmsChemotherapy, AdjuvantDNA Topoisomerases, Type IIDNA-Binding ProteinsDrug Resistance, NeoplasmEpirubicinEuropeFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMiddle AgedNeoadjuvant TherapyOdds RatioPatient SelectionPoly-ADP-Ribose Binding ProteinsPredictive Value of TestsProspective StudiesReceptor, ErbB-2Receptors, EstrogenReproducibility of ResultsRisk AssessmentRisk FactorsTexasTreatment FailureConceptsPathologic complete responseHuman epidermal growth factor receptor 2Neoadjuvant trialsTOP trialPredictive valueEstrogen receptor-negative tumorsEpidermal growth factor receptor 2High negative predictive valuePrimary end pointGrowth factor receptor 2Receptor-negative tumorsResponse/resistanceFactor receptor 2Negative predictive valueUseful clinical toolER-negative samplesA scoresAnthracycline monotherapyEvaluable patientsGene expression signaturesComplete responseBreast cancerImmune responseReceptor 2Patients
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