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Updated: Aug 6, 2026

08:15
Fully Human Tumor-based Matrix in Three-dimensional Spheroid Invasion Assay
Published on: May 7, 2019
Advances in cell-derived extracellular matrix for 3D tumor modelling
Patrícia S Rodrigues1, Margarida Henriques-Pereira1, João F Mano1
1Department of Chemistry, CICECO - Aveiro Institute of Materials University of Aveiro, Campus Universitário de Santiago, Aveiro, 3810-193, Portugal.
Materials Today. Bio
|July 20, 2026
Summary
Cell-derived decellularized extracellular matrix (cdECM) offers a biomimetic scaffold for 3D tumor models. This review details cdECM production, decellularization, and processing for enhanced tumor modeling and tissue engineering applications.
Area of Science:
- Biomaterials Science
- Tissue Engineering
- Cancer Research
Background:
- Cell-derived decellularized extracellular matrix (cdECM) is a promising biomaterial for creating 3D tumor models.
- cdECM can mimic the tumor microenvironment's biomolecular diversity using human cells, offering an advantage over non-human materials.
Purpose of the Study:
- To review strategies for modulating human ECM production in vitro.
- To showcase advances in cdECM decellularization and processing for bioengineered tumor models.
- To discuss the biological relevance and challenges of using cdECM in preclinical models.
Main Methods:
- Review of established and emerging methods for in vitro ECM modulation.
- Analysis of decellularization and processing techniques across various scales and complexities.
- Discussion of cdECM incorporation into bioengineered tumor model design.
Main Results:
- Human cdECM provides a biomimetic and tumor-specific scaffold.
- Diverse decellularization and processing methods exist for cdECM.
- cdECM integration enhances the biological relevance of engineered tumor models.
Conclusions:
- cdECM is a valuable biomaterial for developing advanced 3D tumor models.
- Further innovation in cdECM production and processing is needed for preclinical applications.
- Cell-derived biomaterials hold significant potential for tumor modeling and broader tissue engineering.

