2011
Multifactorial 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
2009
p53 mutations to predict efficacy of alkylating-containing regimen: a metaanalysis of four different clinical trials.
Lehmann-Che J, André F, Desmedt C, Giacchetti S, Sotiriou C, Turpin E, Espié M, Marty M, Piccart M, Pusztai L, De Thé H. p53 mutations to predict efficacy of alkylating-containing regimen: a metaanalysis of four different clinical trials. Cancer Research 2009, 69: 6064. DOI: 10.1158/0008-5472.sabcs-6064.Peer-Reviewed Original ResearchPathologic complete responseAnthracycline-based chemotherapyPCR rateWild-type tumorsP53 wild-type tumorsP53 mutationsType tumorsPredictive valueAnthracycline-containing chemotherapyBreast cancer patientsDifferent clinical trialsDifferent clinical studiesP53 mutant tumorsInvasive tumor cellsDose intensityComplete responseLymph nodesCancer patientsNegative cancersClinical trialsBreast cancerClinical studiesEstrogen receptorTOP trialPatients
2007
Gene expression profiling can predict pathological complete response (pCR) to anthracycline-based therapy in estrogen- receptor (ER) negative breast cancer (BC) patients
Desmedt C, André F, Azambuja E, Haibe-Kains B, Larsimont D, D'Hondt V, Di Leo A, Piccart M, Pusztai L, Sotiriou C. Gene expression profiling can predict pathological complete response (pCR) to anthracycline-based therapy in estrogen- receptor (ER) negative breast cancer (BC) patients. Journal Of Clinical Oncology 2007, 25: 10564-10564. DOI: 10.1200/jco.2007.25.18_suppl.10564.Peer-Reviewed Original ResearchPathological complete responseBreast cancerLarge seriesEstrogen receptor-negative breast cancer patientsNegative breast cancer patientsAffymetrix gene expression profilesAnthracycline-based therapyER-negative patientsBreast cancer patientsGene expression profilesOvarian suppressionComplete responseP53 signaturePrognostic valueCancer patientsSubgroup analysisMD AndersonStudent's t-test analysisTOP trialBC diseaseExpression profilesGene expression profilingTherapySignificant financial relationshipPatients