tailieunhanh - Báo cáo khoa học: Towards discovery-driven translational research in breast cancer

Discovery-driven translational research in breast cancer is moving steadily from the study of cell lines to the analysis of clinically relevant samples that, together with the ever increasing number of novel and powerful tech-nologies available within genomics, proteomics and functional genomics, promise to have a major impact on the way breast cancer will be diag-nosed, treated and monitored in the future. | iFEBS Journal REVIEW ARTICLE Towards discovery-driven translational research in breast cancer Julio E. Celis1 2 José M. A. Moreira1 2 Irina Gromova1 2 Teresa Cabezon1 2 Ulrik Ralfkiaer1 2 Per Guldberg1 2 Per thor Straten1 2 Henning Mouridsen1 3 Esbern Friis1 4 Dorte Holm1 5 Fritz Rank1 5 and Pavel Gromov1 2 1 The Danish Centre for TranslationalBreast Cancer Research Copenhagen Denmark 2 Institute of Cancer Biology Danish Cancer Society Copenhagen Denmark 3 Department of Oncology Copenhagen University Hospital Denmark 4 Department of Breast and Endocrine Surgery Copenhagen University Hospital Denmark 5 Department of Pathology The Centre of Diagnostic Investigations Copenhagen University Hospital Denmark Keywords breast cancer proteomics functional genomics signaling pathways systems biology individualised medicine translational research Correspondence J. E. Celis The Danish Centre for Translational Breast Cancer Research and Institute of Cancer Biology Danish Cancer Society Strandboulevarden 49 DK-2100 Copenhagen Denmark Fax 4535 25 73 76 Tel 4535 25 73 63 E-mail jec@ Discovery-driven translational research in breast cancer is moving steadily from the study of cell lines to the analysis of clinically relevant samples that together with the ever increasing number of novel and powerful technologies available within genomics proteomics and functional genomics promise to have a major impact on the way breast cancer will be diagnosed treated and monitored in the future. Here we present a brief report on long-term ongoing strategies at the Danish Centre for Translational Breast Cancer Research to search for markers for early detection and targets for therapeutic intervention to identify signalling pathways affected in individual tumours as well as to integrate multiplatform omic data sets collected from tissue samples obtained from individual patients. The ultimate goal of this initiative is to coalesce knowledge-based complementary procedures into a systems .