Related Experiment Video
Updated: Jun 28, 2025

Multiparametric Tumor Organoid Drug Screening Using Widefield Live-Cell Imaging for Bulk and Single-Organoid Analysis
Published on: December 23, 2022
Drug testing of monodisperse arrays of live microdissected tumors using a valved multiwell microfluidic platform
Ethan J Lockhart1, Lisa F Horowitz1, Adán Rodríguez1
1Department of Bioengineering, University of Washington, Seattle, USA. ejl17@uw.edu.
Abstract:
Cancer drug testing in animals is an extremely poor predictor of the drug's safety and efficacy observed in humans. Hence there is a pressing need for functional testing platforms that better predict traditional and immunotherapy responses in human, live tumor tissue or tissue constructs, and at the same time are compatible with the use of mouse tumor tissue to facilitate building more accurate disease models. Since many cancer drug actions rely on mechanisms that depend on the tumor microenvironment (TME), such platforms should also retain as much of the native TME as possible. Additionally, platforms based on miniaturization technologies are desirable to reduce animal use and sensitivity to human tissue scarcity. Present high-throughput testing platforms that have some of these features, e.g. based on patient-derived tumor organoids, require a growth step that alters the TME. On the other hand, microdissected tumors (μDTs) or "spheroids" that retain an intact TME have shown promising responses to immunomodulators acting on native immune cells. However, difficult tissue handling after microdissection has reduced the throughput of drug testing on μDTs, thereby constraining the inherent advantages of producing numerous TME-preserving units of tissue for drug testing. Here we demonstrate a microfluidic 96-well platform designed for drug treatment of hundreds of similarly-sized, cuboidal μDTs ("cuboids") produced from a single tumor sample. The platform organizes a monodisperse array of four cuboids per well in 384 hydrodynamic traps. The microfluidic device, entirely fabricated in thermoplastics, features 96 microvalves that fluidically isolate each well after the cuboid loading step for straightforward multi-drug testing. Since our platform makes the most of scarce tumor tissue, it can potentially be applied to human biopsies that preserve the human TME while minimizing animal testing.
Insights
Developing a new microfluidic platform for cancer drug testing using microdissected tumors (μDTs) offers a more accurate prediction of human responses. This technology preserves the tumor microenvironment (TME) and reduces animal testing.
Area of Science:
- Oncology
- Biotechnology
- Microfluidics
Background:
- Animal models poorly predict human cancer drug efficacy and safety.
- There's a need for functional testing platforms that better predict drug responses using live human tumor tissue.
- Preserving the native tumor microenvironment (TME) is crucial as it influences cancer drug mechanisms.
Purpose of the Study:
- To develop a high-throughput microfluidic platform for testing cancer drugs on microdissected tumors (μDTs).
- To create a system that retains the native TME for more accurate drug response prediction.
- To minimize animal use and address human tissue scarcity in drug development.
Main Methods:
- A microfluidic 96-well platform was designed to hold hundreds of similarly-sized, cuboidal μDTs ('cuboids').
- The platform utilizes 384 hydrodynamic traps for a monodisperse array of cuboids.
- Microvalves enable fluidic isolation of each well for multi-drug testing.
Main Results:
- The platform successfully organizes and enables drug treatment of numerous μDTs.
- It facilitates straightforward multi-drug testing by fluidically isolating wells.
- The system maximizes the use of scarce tumor tissue, preserving the TME.
Conclusions:
- This microfluidic platform provides a more accurate method for cancer drug testing compared to traditional animal models.
- It enables the preservation of the native TME, leading to better prediction of drug efficacy.
- The technology has the potential to be applied to human biopsies, minimizing animal testing and improving personalized medicine.

