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A Simple and Fast Method for the Formation and Downstream Processing of Cancer-Cell-Derived 3D Spheroids: An Example
Irida Papapostolou1, Florian Bochen1, Christine Peinelt1
1Institute of Biochemistry and Molecular Medicine, University of Bern, 3012 Bern, Switzerland.
Methods and Protocols
|October 27, 2023
Summary
Three-dimensional (3D) cancer cell cultures offer a more accurate model than 2D cultures for studying antitumoral drugs and treatments. This study presents a simple protocol for generating 3D cancer spheroids for research.
Area of Science:
- Oncology
- Cell Biology
- Biotechnology
Background:
- Two-dimensional (2D) in vitro cancer cell cultures are widely used but poorly mimic in vivo tumor characteristics.
- Limitations of 2D cultures include lack of architectural resemblance and altered drug resistance compared to solid tumors.
- Three-dimensional (3D) culture models provide a more physiologically relevant alternative.
Purpose of the Study:
- To present a rapid, cost-effective, and easily implementable protocol for generating 3D cancer spheroids.
- To enable the study of cancer cell behavior in a more in vivo-like environment.
- To facilitate research on antitumoral drug efficacy and immune cell interactions within solid tumor models.
Main Methods:
- Utilized ultra-low-attachment (ULA) multiwell plates for spheroid formation.
- Developed a step-by-step protocol adaptable to standard laboratory workflows.
- Characterized generated spheroids based on morphology, viability, and marker expression.
Main Results:
- Successfully generated 3D spheroids from various human cancer cell lines.
- The protocol is fast, cost-effective, and reproducible.
- The 3D spheroids exhibit architectural and drug penetration characteristics similar to in vivo tumors.
Conclusions:
- The described protocol offers a valuable tool for cancer research, enhancing the physiological relevance of in vitro models.
- 3D cancer spheroids generated using this method can improve the study of drug responses and immune cell dynamics.
- This approach bridges the gap between 2D cultures and complex in vivo tumor environments.

