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Shaping Oncogenic Microenvironments: Contribution of Fibronectin
Gemma Guerrero-Barberà1, Natalia Burday1, Mercedes Costell1
1Departament of Biochemistry and Molecular Biology, Institut Universitari de Biotecnologia i Biomedicina, Universitat de València, Valencia, Spain.
The extracellular matrix (ECM) stiffens during cancer, promoting tumor growth and spread. Cancer-associated fibroblasts secrete fibronectin, a key molecule driving this process and impacting therapy response.
Area of Science:
- Oncology
- Biophysics
- Cell Biology
Background:
- The extracellular matrix (ECM) is a dynamic network crucial for organ structure and function.
- Cancer progression involves both cell-intrinsic mutations and extrinsic factors like the tumor microenvironment and ECM biophysics.
- ECM remodeling during cancer includes basal lamina disruption, vascular invasion, and fibrosis, leading to increased tissue stiffness.
Purpose of the Study:
- To review the interactions and signaling pathways involving fibronectin in tumorigenesis and metastasis.
- To provide molecular insights into how fibronectin contributes to cancer progression.
- To aid in predicting therapy response based on fibronectin's role.
Main Methods:
- Literature review focusing on ECM remodeling in cancer.
- Analysis of signaling pathways involving fibronectin and cancer-associated fibroblasts (CAFs).
- Exploration of fibronectin's role in promoting tumor cell de-differentiation, proliferation, and invasion.
Main Results:
- Increased tissue stiffness due to ECM remodeling potentiates malignant transformation.
- Cancer-associated fibroblasts (CAFs) are key players, secreting fibronectin and type I collagen.
- Fibronectin secreted by CAFs significantly supports tumorigenesis and metastasis.
Conclusions:
- The fibrotic microenvironment, particularly fibronectin, plays a critical role in cancer progression.
- Understanding fibronectin's pro-tumorigenic mechanisms is vital for developing targeted therapies.
- Molecular insights into fibronectin signaling can improve therapy response prediction in cancer patients.
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