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Related Concept Videos

Mouse Models of Cancer Study02:43

Mouse Models of Cancer Study

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Mice have long served as models for studying human biology and pathology because of their phylogenetic and physiological similarity with humans. They are also easy to maintain and breed in the laboratory, and hence, many inbred strains are now available for research. Studies on mice have contributed immeasurably to our understanding of cancer biology.
The development of transgenic, knockout, and knock-in mice has led to an exponential increase in their use as model organisms in research,...
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Related Experiment Video

Updated: May 6, 2026

Quantification of Breast Cancer Cell Invasiveness Using a Three-dimensional 3D Model
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Engineering Complexity: Advances in 3D Breast Cancer Models for Precision Oncology.

Wonwoo Jeong1, Sang Jin Lee1

  • 1Wake Forest Institute for Regenerative Medicine, Wake Forest University School of Medicine, Medical Center Boulevard, Winston-Salem, NC, 27157, USA.

Advanced Healthcare Materials
|September 4, 2025
PubMed
Summary
This summary is machine-generated.

Engineered in vitro cancer models improve breast cancer research by mimicking tumor complexity. Patient-derived models and advanced bioengineering techniques enhance drug response prediction and personalized therapy development.

Keywords:
Breast cancercancer heterogeneityin vitro modelorganoidstumor microenvironment

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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.