2022
139MO Identification of biologically-driven HER2-positive breast cancer subgroups associated with prognosis after adjuvant trastuzumab in the ALTTO trial
Rediti M, Venet D, Garcia A, Agbor-tarh D, Maetens M, Vincent D, Majjaj S, El-Abed S, Liu M, Di Cosimo S, Piccart M, Pusztai L, Loi S, Salgado R, Viale G, Rothé F, Sotiriou C. 139MO Identification of biologically-driven HER2-positive breast cancer subgroups associated with prognosis after adjuvant trastuzumab in the ALTTO trial. Annals Of Oncology 2022, 33: s602-s603. DOI: 10.1016/j.annonc.2022.07.174.Peer-Reviewed Original Research
2012
Distinct tumor protein p53 mutants in breast cancer subgroups
Dumay A, Feugeas J, Wittmer E, Lehmann‐Che J, Bertheau P, Espié M, Plassa L, Cottu P, Marty M, André F, Sotiriou C, Pusztai L, de Thé H. Distinct tumor protein p53 mutants in breast cancer subgroups. International Journal Of Cancer 2012, 132: 1227-1231. PMID: 22886769, DOI: 10.1002/ijc.27767.Peer-Reviewed Original ResearchConceptsBasal tumorsLuminal tumorsMolecular apocrine tumoursDifferent breast cancer subtypesBreast cancer subgroupsBreast cancer subtypesP53 mutation statusApocrine tumorsTumor protein p53Molecular apocrineCancer subgroupsBreast cancerTP53 alterationsMutation statusBreast tumorsLoss of functionCancer subtypesTumorsComplex mutationsP53 gainHigh frequencyHigh rateDifferent functional consequencesMissense mutationsProtein p53
2011
P2-02-09: TP53 Mutation Patterns in Breast Cancer Subgroups.
Dumay A, Feugeas J, Wittmer E, Lehmann-Che J, Bertheau P, Espié M, de C, André F, Sotiriou C, Pusztai L, de T. P2-02-09: TP53 Mutation Patterns in Breast Cancer Subgroups. Cancer Research 2011, 71: p2-02-09-p2-02-09. DOI: 10.1158/0008-5472.sabcs11-p2-02-09.Peer-Reviewed Original ResearchLuminal tumorsMolecular apocrineBreast cancerTP53 mutationsDifferent molecular subclassesLuminal B subgroupMolecular apocrine tumoursTruncating mutationsBreast cancer subgroupsBreast cancer subclassesTP53 mutation frequencyFunctional assaysMutation typeTP53 mutation patternsHigh rateTumor protein 53Missense mutationsApocrine tumorsBasal tumorsLuminal subgroupCancer subgroupsP53 gene inactivationMolecular subclassesBreast tumorsSpecific subtypesFunctional proteomics can define prognosis and predict pathologic complete response in patients with breast cancer
Gonzalez-Angulo AM, Hennessy BT, Meric-Bernstam F, Sahin A, Liu W, Ju Z, Carey MS, Myhre S, Speers C, Deng L, Broaddus R, Lluch A, Aparicio S, Brown P, Pusztai L, Symmans WF, Alsner J, Overgaard J, Borresen-Dale AL, Hortobagyi GN, Coombes KR, Mills GB. Functional proteomics can define prognosis and predict pathologic complete response in patients with breast cancer. Clinical Proteomics 2011, 8: 11. PMID: 21906370, PMCID: PMC3170272, DOI: 10.1186/1559-0275-8-11.Peer-Reviewed Original ResearchRecurrence-free survivalPathological complete responseBreast cancerComplete responseBiomarker panelDifferent recurrence-free survivalPathologic complete responseCohort of patientsPrimary breast cancerManagement of patientsBreast cancer subgroupsSurgical excision specimensProbability of recurrenceNeoadjuvant taxaneSystemic therapyPrognostic scorePrognostic groupsPrognosis scoreOrdinal logistic regressionCancer subgroupsExcision specimensPatientsFNA biopsySignificant associationPhase protein array