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Engineering complexity in human tissue models of cancer
Kacey Ronaldson-Bouchard1, Ilaria Baldassarri1, Daniel Naveed Tavakol1
1Department of Biomedical Engineering, Columbia University, 622 West 168th Street, VC12-234, New York, NY 10032, USA.
Advanced Drug Delivery Reviews
|March 12, 2022
Summary
Engineered human tissue models offer advanced cancer research tools, improving drug screening and understanding of cancer progression. Selecting the right model complexity is key for effective cancer metastasis research.
Area of Science:
- Oncology
- Tissue Engineering
- Cancer Cell Biology
Background:
- Cancer metastasis remains a significant challenge, causing 90% of cancer-related deaths.
- Advances in multiple scientific fields have led to sophisticated engineered human tissue models for cancer research.
- These models increasingly mimic cancer progression and drug responses in a patient-specific manner.
Purpose of the Study:
- To review the current state of engineered human tissue models in cancer research and drug development.
- To discuss the varying complexity and biological fidelity of these models.
- To propose a framework for selecting appropriate models based on research goals.
Main Methods:
- Review of existing literature on engineered human tissue models for cancer.
- Categorization of models based on biological fidelity and complexity.
- Analysis of advantages, limitations, and applications in cancer research and drug screening.
Main Results:
- Engineered human tissue models offer diverse levels of complexity and fidelity.
- These models are valuable for studying cancer progression and evaluating drug efficacy.
- A framework for model selection is proposed to guide researchers.
Conclusions:
- Engineered human tissue models represent a significant advancement in cancer research and drug discovery.
- Careful consideration of model complexity is crucial for achieving specific research objectives.
- The field presents ongoing opportunities and challenges for developing more effective cancer treatments.
