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Autor:
Moriggi M 1, Giussani M 2, Torretta E 1, Capitanio D 1, 3, Sandri M 2, Leone R 1, De Palma S 4, Vasso M4, Vozzi G 5, 6, Tagliabue E 2, Gelfi C 1
Publikováno v:
Proteomics (Weinh., Internet) (2018). doi:10.1002/pmic.201800278
info:cnr-pdr/source/autori:Moriggi M 1, Giussani M 2, Torretta E 1, Capitanio D 1,3, Sandri M 2, Leone R 1, De Palma S 4, Vasso M4, Vozzi G 5,6, Tagliabue E 2, Gelfi C 1,3./titolo:ECM Remodelling in Breast Cancer with Different Grade: Contribution of 2D-DIGE Proteomics/doi:10.1002%2Fpmic.201800278/rivista:Proteomics (Weinh., Internet)/anno:2018/pagina_da:/pagina_a:/intervallo_pagine:/volume
info:cnr-pdr/source/autori:Moriggi M 1, Giussani M 2, Torretta E 1, Capitanio D 1,3, Sandri M 2, Leone R 1, De Palma S 4, Vasso M4, Vozzi G 5,6, Tagliabue E 2, Gelfi C 1,3./titolo:ECM Remodelling in Breast Cancer with Different Grade: Contribution of 2D-DIGE Proteomics/doi:10.1002%2Fpmic.201800278/rivista:Proteomics (Weinh., Internet)/anno:2018/pagina_da:/pagina_a:/intervallo_pagine:/volume
Tumor extracellular matrix (ECM) plays a pivotal role in outcome of breast cancer (BC) patients. Overespression of 58 genes, encoding 43 structural ECM proteins, has been identified to determine a specific cluster of BC with accelerated metastatic po