Engineering Complexity: Advances in 3D Breast Cancer Models for Precision Oncology

Area of Science:

• Biomedical Engineering
• Cancer Research
• Translational Oncology

Background:

• Engineered in vitro cancer models are crucial for studying tumor biology and developing personalized therapies.
• Breast cancer's complexity and heterogeneity present significant treatment challenges.
• Patient-derived in vitro models are vital for predicting individual drug responses.

Purpose of the Study:

• To review advancements in engineering in vitro breast cancer models.
• To compare the capabilities and limitations of various model systems.
• To discuss innovations enhancing biological accuracy and clinical relevance.

Main Methods:

• Review of current bioengineering strategies for in vitro cancer models.
• Focus on technologies like organoids, microfluidic platforms, and 3D bioprinting.
• Analysis of models replicating angiogenesis, invasion, heterogeneity, and metastasis.

Main Results:

• Engineered models increasingly replicate key breast cancer features.
• Organoids, microfluidics, and 3D bioprinting offer enhanced biological relevance.
• Progress has been made in improving model fidelity to native tumors.

Conclusions:

• Advanced in vitro models are essential for understanding breast cancer complexity.
• Choosing the appropriate model depends on specific research needs.
• Continued innovation is needed to improve model accuracy for clinical application.