Rapid Processing and Drug Evaluation in Glioblastoma Patient-Derived Organoid Models with 4D Bioprinted Arrays

Michelle Chadwick1, Chen Yang2, Liqiong Liu1

  • 1Rutgers Cancer Institute of New Jersey, Rutgers University, New Brunswick, NJ 08901, USA.

Iscience
|July 31, 2020
PubMed

Insights

Researchers developed novel 4D cell-culture arrays using shape memory polymers for rapid glioblastoma drug response assessment. This technology aids precision medicine oncology by enabling faster, functional drug testing on patient-derived models.

Area of Science:

  • Biomedical Engineering
  • Oncology
  • Materials Science

Background:

  • Glioblastoma is a lethal brain cancer with limited treatment options.
  • Precision medicine oncology (PMO) identifies molecular targets, but functional assays for drug testing are lacking.
  • Current methods for assessing drug response in glioblastoma models are time-consuming and complex.

Purpose of the Study:

  • To develop a rapid, 4D cell-culture array system for evaluating drug responses in glioblastoma.
  • To create a platform that integrates 3D printing and shape memory polymers for streamlined drug sensitivity testing.
  • To enable functional drug assessments for personalized glioblastoma therapy selection.

Main Methods:

  • Generation of four-dimensional (4D) cell-culture arrays using thermo-responsive shape memory polymer (SMP).
  • 3D printing of SMP arrays that transform from cell culture inserts to histological cassettes upon heating.
  • Assessment of drug sensitivity, on-target activity, and synergy using glioblastoma patient-derived organoid-like (PDO) models.

Main Results:

  • The 4D SMP arrays successfully facilitated drug response assessments in glioblastoma models.
  • The system demonstrated utility in evaluating drug sensitivity, on-target activity, and synergistic drug combinations.
  • The transformation of arrays into histological cassettes enables efficient downstream analysis.

Conclusions:

  • The 4D cell-culture array platform offers a rapid and efficient method for functional drug assessment in glioblastoma.
  • This technology has the potential to accelerate therapeutic selection in precision medicine oncology for brain tumors.
  • The integrated approach of 3D printing and functional assays can improve patient outcomes for glioblastoma.

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