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Updated: Jul 1, 2025

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Modeling Breast Cancer in Human Breast Tissue using a Microphysiological System
Published on: April 23, 2021
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Adipose Tissue in Breast Cancer Microphysiological Models to Capture Human Diversity in Preclinical Models.
Katie M Hamel1, Trivia P Frazier1, Christopher Williams2
1Obatala Sciences, Inc., New Orleans, LA 70148, USA.
International Journal of Molecular Sciences
|March 13, 2024
Summary
New preclinical models for breast cancer are needed. Incorporating adipose tissue components like adipose-derived stromal/stem cells (ASCs) and adipocytes improves models for better cancer therapy development.
Area of Science:
- Oncology
- Biomedical Engineering
- Cancer Research
Background:
- Female breast cancer incidence is rising, with high preclinical therapy failure rates.
- Current preclinical models lack cellular heterogeneity and human-derived biomaterials, limiting translatability.
- Adipose tissue and its cells (adipocytes, ASCs) are crucial for breast physiology and cancer progression.
Purpose of the Study:
- To review current preclinical breast cancer models.
- To highlight the importance of adipose tissue in breast cancer models.
- To focus on microphysiological systems (MPS) and patient-derived xenograft (PDX) models.
Main Methods:
- Review of existing literature on preclinical breast cancer models.
- Focus on models incorporating adipose tissue components.
- Comparison of microphysiological systems (MPS) and patient-derived xenograft (PDX) models.
Main Results:
- Adipose-derived stromal/stem cells (ASCs) and adipocytes significantly influence breast cancer pathophysiology.
- There is a critical need for more complex in vitro models that include adipose tissue.
- MPS and PDX models show promise in capturing patient diversity and adipose tissue contributions.
Conclusions:
- Enhanced preclinical models incorporating adipose tissue are essential for advancing breast cancer therapy.
- Microphysiological systems and patient-derived xenografts offer improved approaches to model breast cancer heterogeneity.
- Further development of these models can lead to more translatable cancer therapies.

