2022
CECR2 drives breast cancer metastasis by promoting NF-κB signaling and macrophage-mediated immune suppression
Zhang M, Liu ZZ, Aoshima K, Cai WL, Sun H, Xu T, Zhang Y, An Y, Chen JF, Chan LH, Aoshima A, Lang SM, Tang Z, Che X, Li Y, Rutter SJ, Bossuyt V, Chen X, Morrow JS, Pusztai L, Rimm DL, Yin M, Yan Q. CECR2 drives breast cancer metastasis by promoting NF-κB signaling and macrophage-mediated immune suppression. Science Translational Medicine 2022, 14: eabf5473. PMID: 35108062, PMCID: PMC9003667, DOI: 10.1126/scitranslmed.abf5473.Peer-Reviewed Original ResearchConceptsBreast cancer metastasisReticuloendotheliosis viral oncogene homolog ACancer metastasisImmune suppressionM2 macrophagesWorse metastasis-free survivalMetastatic breast cancerMetastasis-free survivalV-rel avian reticuloendotheliosis viral oncogene homolog ACancer-related deathPrimary breast tumorsMultiple mouse modelsNF-κB signalingImmunocompetent settingNuclear factor-κB family membersMetastasis-promoting genesDistant metastasisMetastatic sitesPrimary tumorEffective therapyBreast cancerMetastasis treatmentMouse modelBreast tumorsMetastasis
2011
Distinct p53 Gene Signatures Are Needed to Predict Prognosis and Response to Chemotherapy in ER-Positive and ER-Negative Breast Cancers
Coutant C, Rouzier R, Qi Y, Lehmann-Che J, Bianchini G, Iwamoto T, Hortobagyi GN, Symmans WF, Uzan S, Andre F, de Thé H, Pusztai L. Distinct p53 Gene Signatures Are Needed to Predict Prognosis and Response to Chemotherapy in ER-Positive and ER-Negative Breast Cancers. Clinical Cancer Research 2011, 17: 2591-2601. PMID: 21248301, DOI: 10.1158/1078-0432.ccr-10-1045.Peer-Reviewed Original ResearchConceptsER- cancersPredictive valueBreast cancerP53 signatureWorse distant metastasis-free survivalDistant metastasis-free survivalER-negative breast cancerAdjuvant tamoxifen therapyDifferent molecular subsetsMetastasis-free survivalDifferent prognostic valueNegative breast cancerHigher chemotherapy sensitivityTamoxifen therapyFree survivalBetter prognosisER-positivePoor prognosisPrognostic valuePrognostic markerMolecular subsetsChemotherapy sensitivityMutation statusP53 mutationsMultivariate analysis
2009
The Molecular Anatomy of Breast Cancer Stroma; Independent Prognostic Role in ER-Positive and ER-Negative Cancers.
Bianchini G, Bianchini G, Alvarez R, Qi Y, Hatzis C, Iwamoto T, Shiang C, Coutant C, Hortobagyi G, Symmans W, Pusztai L. The Molecular Anatomy of Breast Cancer Stroma; Independent Prognostic Role in ER-Positive and ER-Negative Cancers. Cancer Research 2009, 69: 105-105. DOI: 10.1158/0008-5472.sabcs-09-105.Peer-Reviewed Original ResearchDistant metastasis-free survivalCore needle biopsyFine-needle aspirationER- cancersPrognostic valueCancer cell linesER- tumorsB cells/plasma cellsStromal signaturesStromal genesBreast cancer stromaConsistent prognostic valueER- breast cancer cell linesReproducible prognostic markerTamoxifen-treated patientsIndependent prognostic roleER-negative cancersMetastasis-free survivalStromal gene signatureBreast cancer cell linesVariable prognostic valueCell linesFree survivalPreoperative chemotherapyUntreated patientsClinical Subtype-Derived p53 Gene Signature Is Predictive of Prognosis and Response to Chemotherapy in ER-Positive but Not in ER-Negative Breast Cancers.
Pusztai L, Rouzier R, Qi Y, Lehmann-Che J, Bianchini G, Iwamoto T, Symmans W, Andre F, de The H, Coutant C, Coutant C. Clinical Subtype-Derived p53 Gene Signature Is Predictive of Prognosis and Response to Chemotherapy in ER-Positive but Not in ER-Negative Breast Cancers. Cancer Research 2009, 69: 6122-6122. DOI: 10.1158/0008-5472.sabcs-09-6122.Peer-Reviewed Original ResearchDistant metastasis-free survivalP53 signatureBreast cancerER- cancersPredictive valueWorse distant metastasis-free survivalSystemic adjuvant therapyER- breast cancerMetastasis-free survivalNegative breast cancerDifferent molecular subtypesP53 functional statusP53 gene mutationsGene expression-based predictorsP53 mutation statusAdjuvant tamoxifenAdjuvant therapyFree survivalBackgroundBreast cancerFunctional statusMolecular subtypesIndependent cohortNeoplastic diseaseChemotherapy sensitivityMutation status
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