Objetivo Breast cancer is the most common malignancy in women and a high level of mortality, associated with this cancer, still remains. To eradicate tumour progression and/or metastatic development, cancer cells need to be targeted directly by treatments, which may not be the case with current therapeutical drugs.By high-throughput screening of breast tumour from treatment resistant patients, the laboratory has identified several discriminator genes encoding transcription factors and proteins associated with cell division. The objectives of the project is first to generate animal models to determine in vivo how over-expression of these genes can induce tumour growth and/or are responsible for generating cells resistant to treatment.These animal models will allow in a second part, to determine and test therapeutic tools. The use of animal models, associated with new technologies of microarrays and imaging will allow to identify the genetic or cellular regulations responsible for tumour generation and spreading and will permit to establish adapted treatments or new therapeutic tools. Ámbito científico social sciencessociologydemographymortalitynatural sciencesbiological sciencesgeneticsDNAnatural sciencesbiological sciencesbiochemistrybiomoleculesproteinsmedical and health sciencesclinical medicineoncologybreast cancernatural sciencesbiological sciencesgeneticschromosomes Programa(s) FP6-MOBILITY - Human resources and Mobility in the specific programme for research, technological development and demonstration "Structuring the European Research Area" under the Sixth Framework Programme 2002-2006 Tema(s) MOBILITY-4.2 - Marie Curie International Reintegration Grants (IRG) Convocatoria de propuestas FP6-2002-MOBILITY-12 Consulte otros proyectos de esta convocatoria Régimen de financiación IRG - Marie Curie actions-International re-integration grants Coordinador NATIONAL INSTITUT OF HEALTH AND MEDICAL RESEARCH (INSERM) Aportación de la UE Sin datos Dirección 101 rue de Tolbiac PARIS Francia Ver en el mapa Coste total Sin datos