Multicellular Model of Temozolomide Resistance in Glioblastoma Reveals Phenotypic Shifts in Drug Response and

Victoria A Kriuchkovskaia1,2, Ela K Eames1, Sydney A McKee2,3

  • 1Dept. Chemical and Biomolecular Engineering, University of Illinois Urbana-Champaign, Urbana, IL 61801, USA.

Insights

Glioblastoma (GBM) drug resistance can be modulated by combining temozolomide (TMZ) with an MGMT inhibitor. This 3D hydrogel model studies GBM heterogeneity and therapy resistance within the extracellular matrix.

Area of Science:

  • Neuro-oncology
  • Biomaterials Science
  • Cancer Biology

Background:

  • Glioblastoma (GBM) is an aggressive brain tumor with poor outcomes due to recurrence driven by invasion and therapy resistance.
  • Temozolomide (TMZ) is the standard chemotherapy, but acquired resistance, often mediated by MGMT, limits its long-term efficacy.
  • Understanding GBM heterogeneity and the extracellular matrix (ECM) microenvironment is crucial for improving treatment.

Purpose of the Study:

  • To investigate the interplay between GBM tumor heterogeneity, drug resistance, and the ECM microenvironment.
  • To evaluate the impact of heterogeneous cell populations and various TMZ dosing regimens on drug response and migration.
  • To assess the efficacy of combination therapy with TMZ and an MGMT inhibitor in a 3D GBM model.

Main Methods:

  • Development of a 3D methacrylamide-functionalized gelatin (GelMA) hydrogel model.
  • Culturing mixed populations of temozolomide-sensitive and -resistant GBM cells in single-cell and spheroid formats.
  • Application of diverse TMZ dosing schedules (physiological, supraphysiological, metronomic) and combination therapy with an MGMT inhibitor (lomeguatrib).

Main Results:

  • Demonstrated the impact of heterogeneous GBM cell populations and TMZ dosing on drug response and migration within the GelMA hydrogel.
  • Showcased that combining TMZ with an MGMT inhibitor, lomeguatrib, can modulate temozolomide resistance in vitro.
  • Validated the utility of the 3D hydrogel model for studying GBM behavior in an ECM-rich microenvironment.

Conclusions:

  • The 3D GelMA hydrogel model effectively simulates GBM heterogeneity and ECM interactions.
  • Combination therapy with TMZ and an MGMT inhibitor shows potential for overcoming drug resistance.
  • This model provides a valuable platform for translational research in glioblastoma treatment strategies.