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Cancer-on-a-chip for Drug Screening
I-Chi Lee1,2
1Graduate Institute of Biomedical Engineering, Chang Gung University, Taoyuan, Taiwan.
Current Pharmaceutical Design
|February 8, 2019
Summary
Three dimensional (3D) tumor models and tumor-on-a-chip systems improve preclinical drug testing accuracy. These advanced models better predict patient response to oncology therapies, reducing costly clinical trial failures.
Area of Science:
- Oncology
- Biotechnology
- Drug Discovery
Background:
- High oncology drug failure rates in clinical trials are linked to inadequate preclinical predictive models.
- Existing preclinical models fail to replicate the complex in vivo tumor microenvironment.
Purpose of the Study:
- To review innovations and limitations of 3D tumor models for improved drug response prediction.
- To highlight the potential of tumor-on-a-chip systems in oncology drug development.
Main Methods:
- Overview of self-assembly spheroids, micro-manufactured spheroids, micro-dissected tissues, and organoids.
- Discussion of 3D tumor models combined with microfluidics for "tumor on a chip" applications.
Main Results:
- 3D tumor models recapitulate in vivo physiological parameters like multicellular architecture and mass transport barriers.
- "Tumor on a chip" systems offer enhanced in vitro modeling of tumor environments for drug screening.
Conclusions:
- Advanced 3D tumor models and "tumor on a chip" systems show promise for increasing clinical predictive power.
- These models can bridge the gap between early research and clinical application in oncology drug development.
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