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Updated: Mar 30, 2026

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Understanding Glioblastoma Dynamics Using 3D Organoids and Engineered Extracellular Matrix.

Autumn McManis1,2,3, Charles Ashley Jimenez2, Abha Shirolkar2

  • 1Interdisciplinary Graduate Program in Genetics and Genomics, Texas A&M University, College Station, Texas, USA.

Advanced Science (Weinheim, Baden-Wurttemberg, Germany)
|March 28, 2026
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This summary is machine-generated.

We developed a novel in vitro model for glioblastoma multiforme (GBM) using patient-derived glioma stem-like cells (GSC) and engineered tissues. This advanced model better mimics the tumor microenvironment, improving GBM research.

Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Cancer Biology

Background:

  • Glioblastoma multiforme (GBM) is a deadly brain cancer driven by glioma stem-like cells (GSCs).
  • Existing in vitro models lack the complex tumor microenvironment, limiting research relevance.
  • The perivascular niche is crucial for GSC function and GBM progression.

Purpose of the Study:

  • To develop a physiologically relevant in vitro model of GBM.
  • To better recapitulate the GBM perivascular niche and its influence on GSCs.
  • To create a platform for studying GBM pathophysiology and therapeutic resistance.

Main Methods:

  • Developed patient-derived GSC Matrigel spheroids that form organoids.
  • Integrated organoids into engineered microenvironments with synthetic extracellular matrix (eECM).
Keywords:
engineered extracellular matrix (eECM)glioblastoma multiforme (GBM)in vitro modelorganoidpatient‐derived glioma stem‐like cells (GSC)

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  • Co-cultured organoids with endothelial cells (EC) to mimic vasculature.

    • Main Results:

    • GSC spheroids differentiated over two weeks, with enhanced marker expression near ECs.
    • Organoid encapsulation in eECM and EC co-culture increased GBM-associated gene expression.
    • The model demonstrated progressive GSC differentiation and GBM gene induction.

    Conclusions:

    • The developed platform offers a modular in vitro system for GBM research.
    • This model enhances the study of GBM pathophysiology by mimicking the perivascular niche.
    • It provides a more predictive system for understanding GBM recurrence and therapeutic resistance.