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Updated: Jul 20, 2025
Quantification of Breast Cancer Cell Invasiveness Using a Three-dimensional 3D Model
Published on: June 11, 2014
Spatial -omics technologies: the new enterprise in 3D breast cancer models
Lara Pierantoni1, Rui L Reis1, Joana Silva-Correia1
13B's Research Group, I3Bs - Research Institute on Biomaterials, Biodegradables and Biomimetics of University of Minho, Headquarters of the European Institute of Excellence on Tissue Engineering and Regenerative Medicine, AvePark, Zona Industrial da Gandra, Barco, Guimarães 4805-017, Portugal; ICVS/3B's - PT Government Associated Laboratory, Braga/Guimarães, Portugal.
This review explores 3D breast cancer models, integrating tissue bioengineering, -omics, and spatial biology. It highlights how these advanced techniques can improve breast cancer research and personalized medicine.
Area of Science:
- Breast cancer research
- Tissue bioengineering
- Spatial biology
- -omics
Background:
- Rapid advancements in tissue bioengineering, -omics, and spatial biology offer significant potential for breast cancer research.
- Current collaboration between these fields is suboptimal, limiting the full realization of their potential.
Purpose of the Study:
- To review recent 3D breast cancer models, including biomaterials and technological platforms.
- To evaluate the biological aspects of these models, detailing their strengths and weaknesses.
- To emphasize the integration of -omics and spatial biology techniques for understanding bioengineered 3D models.
Main Methods:
- Review of current literature on 3D breast cancer models.
- Analysis of biomaterials and technological platforms used in model development.
- Evaluation of biological assessment methods for 3D models.
- Focus on the application of -omics and spatial biology techniques.
Main Results:
- Description of recently developed 3D breast cancer models.
- Assessment of the advantages and limitations of various bioengineered models.
- Identification of key -omics and spatial biology techniques applicable to 3D models.
Conclusions:
- Integrating advanced techniques like -omics and spatial biology with 3D models enhances understanding of breast cancer.
- This synergy can lead to more clinically relevant in vitro models and microphysiological systems.
- Potential for improved drug development and personalized medicine approaches in breast cancer treatment.
