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Multiparametric Tumor Organoid Drug Screening Using Widefield Live-Cell Imaging for Bulk and Single-Organoid Analysis
Published on: December 23, 2022
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High-throughput organo-on-pillar (high-TOP) array system for three-dimensional ex vivo drug testing
Hye Ryeong Jun1, Hyun Ju Kang2, Sung Hun Ju1
1Central R & D Center, Medical & Bio Decision (MBD) Co., Ltd. Suwon, South Korea.
Biomaterials
|March 16, 2023
Summary
A new automated organoid drug screening platform (high-TOP) enables reproducible ex vivo drug sensitivity tests. This technology aids in predicting patient response to chemotherapy for precision cancer therapy.
Area of Science:
- Biotechnology
- Cancer Research
- Drug Discovery
Background:
- Organoid culture is crucial for ex vivo drug testing in precision cancer therapy.
- Basement membrane components are vital for organoid structure and drug sensitivity tests.
- Current 3D culture drug screening methods face challenges in scalability and standardization.
Purpose of the Study:
- To develop an automated, high-throughput platform for standardized 3D organoid drug screening.
- To overcome limitations of existing matrix-encapsulated tumor cell screening platforms.
- To enable ex vivo drug test-guided clinical response prediction for precision cancer therapy.
Main Methods:
- Manufactured an automated organospotter-integrated high-throughput organo-on-pillar (high-TOP) drug-screening platform.
- System is compatible with various extracellular matrices (BM extract, Matrigel, collagen, hydrogel).
- Platform allows for high-content analyses and easy exchange of bottom plates.
Main Results:
- Demonstrated robustness, consistency, and reproducibility in 3D drug sensitivity analyses using ovarian cancer cell lines.
- Showcased biological relevancy of the high-TOP platform.
- Provided proof-of-concept for clinical feasibility linking ex vivo tests to patient chemo-response.
Conclusions:
- The high-TOP platform offers an automated and standardized approach for ex vivo drug sensitivity testing.
- This technology can guide the selection of effective chemotherapy regimens for cancer patients.
- Facilitates precision cancer therapy through reliable drug response prediction.

