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 potential only in the undifferentiated (grade III) phenotype. The scope of this study was to characterize protein repertoire able to predict patient outcome in BC according to ECM gene expression pattern and histological grade. The differential proteomic analysis has been based on 2D-DIGE, MALDI-MS, bioinformatics and immunoblotting. Results suggested a relationship among ECM remodeling, signal mechanotransduction and metabolic rewiring in BCs characterized by a specific mRNA ECM signature and identified a set of dysregulated proteins characteristic of hormone receptors expression as fibrinogen beta chain (FGB), collagen alpha-1 (VI) chain (COL6A1) and alpha-1B-glycoprotein (A1BG). Furthermore, in triple negative tumors (TN) with ECM signature, the FGG and ?5?1/?v?3 integrins increased whereas detyrosinated alpha-tubulin, and mimecan (OGN) decreased leading to unorganized integrin presentation involving focal adhesion kinase (FAK), activation of Rho GTPases associated to epithelial mesenchymal transition. In hormone receptors negative BCs characterized by a specific ECM gene cluster, the differentially regulated proteins, identified in the present study,can be potentially relevant to predict patient's outcome.
ECM Remodelling in Breast Cancer with Different Grade: Contribution of 2D-DIGE Proteomics
De Palma S;Vasso M;
2018
Abstract
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 potential only in the undifferentiated (grade III) phenotype. The scope of this study was to characterize protein repertoire able to predict patient outcome in BC according to ECM gene expression pattern and histological grade. The differential proteomic analysis has been based on 2D-DIGE, MALDI-MS, bioinformatics and immunoblotting. Results suggested a relationship among ECM remodeling, signal mechanotransduction and metabolic rewiring in BCs characterized by a specific mRNA ECM signature and identified a set of dysregulated proteins characteristic of hormone receptors expression as fibrinogen beta chain (FGB), collagen alpha-1 (VI) chain (COL6A1) and alpha-1B-glycoprotein (A1BG). Furthermore, in triple negative tumors (TN) with ECM signature, the FGG and ?5?1/?v?3 integrins increased whereas detyrosinated alpha-tubulin, and mimecan (OGN) decreased leading to unorganized integrin presentation involving focal adhesion kinase (FAK), activation of Rho GTPases associated to epithelial mesenchymal transition. In hormone receptors negative BCs characterized by a specific ECM gene cluster, the differentially regulated proteins, identified in the present study,can be potentially relevant to predict patient's outcome.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
