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Studying Triple Negative Breast Cancer Using Orthotopic Breast Cancer Model
Published on: March 20, 2020
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Current and Emerging 3D Models to Study Breast Cancer
Sophie Roberts1, Sally Peyman2, Valerie Speirs3
1Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK.
Advances in Experimental Medicine and Biology
|August 29, 2019
Summary
Three-dimensional (3D) culture models offer a more accurate representation of breast cancer complexity compared to traditional 2D cultures. This chapter explores advanced 3D models for studying breast cancer, including spheroids and bio-printed systems.
Area of Science:
- Oncology
- Biotechnology
- Cell Biology
Background:
- Traditional two-dimensional (2D) cell cultures have long been the standard for breast cancer research.
- Recent scientific attention highlights the limitations of 2D models in replicating human disease complexity.
- A pivotal 2003 editorial marked a shift towards appreciating the value of three-dimensional (3D) culture systems.
Purpose of the Study:
- To review and discuss various advanced 3D culture models for breast cancer research.
- To emphasize the clinical relevance and complexity recapitulation offered by 3D models over 2D cultures.
- To provide an overview of emerging 3D breast cancer models.
Main Methods:
- Discussion of established and novel 3D cell culture techniques.
- Exploration of spheroid culture systems.
- Review of microfluidic and bio-printed 3D models.
- Inclusion of in silico modeling approaches.
Main Results:
- 3D culture models provide a more biologically relevant platform for studying breast cancer.
- Diverse 3D models, including spheroids, microfluidic, and bio-printed systems, are available.
- In silico models offer complementary approaches to experimental 3D cultures.
Conclusions:
- 3D culture models are crucial for advancing breast cancer research beyond the limitations of 2D systems.
- The development of sophisticated 3D models enhances the study of breast cancer biology and treatment.
- A range of 3D models, from spheroids to computational approaches, are available for researchers.
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