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Updated: Jun 12, 2025

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Pancreatic Tissue-Derived Extracellular Matrix Bioink for Printing 3D Cell-Laden Pancreatic Tissue Constructs
Published on: December 13, 2019
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A 3D Bio-Printed-Based Model for Pancreatic Ductal Adenocarcinoma
Claire Godier1, Zakaria Baka1, Laureline Lamy2,3
1IJL, CNRS, Université de Lorraine, 54000 Nancy, France.
Diseases (Basel, Switzerland)
|September 27, 2024
Summary
Researchers developed a 3D bioprinted pancreatic cancer model using cancer cells and fibroblasts. This advanced preclinical model mimics tumor complexity, offering a promising platform for anti-cancer therapy development.
Area of Science:
- Oncology
- Biotechnology
- Biomaterials Science
Background:
- Pancreatic ductal adenocarcinoma (PDAC) has a poor prognosis, with limited preclinical models accurately reflecting its tumor microenvironment.
- Developing reliable models is crucial for advancing cancer research and therapeutic strategies.
Purpose of the Study:
- To develop a 3D bioprinted tumor model that mimics the heterogeneous microenvironment of metastatic pancreatic ductal adenocarcinoma.
- To assess the viability, proliferation, and self-organization of cancer cells within the 3D bioprinted construct.
Main Methods:
- Utilized extrusion 3D bio-printing to create a model with pancreatic cancer cells (Panc-1) and cancer-associated fibroblasts (CAFs).
- Encapsulated cells within a sodium alginate and gelatin-based hydrogel to mimic the tumor microenvironment.
- Attempted to vascularize the model and characterized its structural and cellular properties.
Main Results:
- The 3D bioprinted tumor model demonstrated sustained cell viability and proliferation.
- Cells self-organized into heterogeneous aggregates within the hydrogel construct.
- The model successfully mimicked aspects of the metastatic PDAC microenvironment.
Conclusions:
- 3D bio-printing offers a promising approach for creating complex and reproducible cancer tumor models.
- This bioprinted pancreatic cancer model serves as a versatile platform for future anti-cancer therapy research.
- Further development could enhance the model's utility in preclinical drug testing and understanding tumor biology.

