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.

Lab on a Chip
|April 23, 2024
PubMed

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.

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