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Advancing 3D Spheroid Research through 3D Scaffolds Made by Two-Photon Polymerization.
Eglė Vitkūnaitė1, Eglė Žymantaitė2,3, Agata Mlynska2,4
1Vital3D Technologies, Saulėtekio al. 15, LT-10224 Vilnius, Lithuania.
Bioengineering (Basel, Switzerland)
|September 27, 2024
Summary
Two-photon polymerization printing creates advanced scaffolds that improve three-dimensional (3D) cancer cell cultures. This scaffold architecture influences gene expression in ovarian cancer cells, aiding preclinical drug target development.
Area of Science:
- Biomaterials Science
- Cancer Research
- 3D Cell Culture Technology
Background:
- Three-dimensional (3D) cancer cell cultures are crucial for preclinical drug development but face limitations in current in vitro models.
- Scaffold-based systems present a promising solution to enhance the fidelity of 3D tumor models.
Purpose of the Study:
- To investigate the efficacy of two-photon polymerization (TPP)-assisted scaffold printing for improving 3D cancer cell culture formation.
- To evaluate the impact of scaffold architecture and material composition on ovarian cancer cell behavior and gene expression.
Main Methods:
- Fabrication of biocompatible scaffolds using TPP with PEGDA and OrmoClear materials.
- Culturing human ovarian cancer cell lines (SKOV3 and A2780) on the fabricated scaffolds.
- Assessing 3D spheroid formation and analyzing gene expression changes (CDH1, CDH2, TWIST, COL1A1, SMAD3).
Main Results:
- TPP-assisted scaffold printing successfully enhanced 3D tumor cell culture formation without additional modifications.
- Both SKOV3 and A2780 cell lines formed 3D cultures on scaffolds, irrespective of the material.
- A2780 cells showed significant gene expression changes in CDH1, CDH2, TWIST, COL1A1, and SMAD3, while SKOV3 cells exhibited minor changes.
Conclusions:
- Scaffold architecture significantly impacts 3D spheroid formation in tumor cell cultures, particularly for the A2780 cell line.
- TPP-based scaffold printing offers a versatile platform for advanced 3D cancer modeling.
- This approach holds potential for refining preclinical cancer research and drug target discovery.

