Evolution of Experimental Models in the Study of Glioblastoma: Toward Finding Efficient Treatments

Ricardo Gómez-Oliva1,2, Samuel Domínguez-García1,2, Livia Carrascal2,3

  • 1Área de Fisiología, Facultad de Medicina, Universidad de Cádiz, Cádiz, Spain.

Frontiers in Oncology
|February 15, 2021
PubMed

Insights

Glioblastoma (GBM) drug resistance is linked to glioma stem cells (GSC). This review evaluates experimental models like organoids and 3D bioprinting for developing new GBM treatments targeting these cells.

Area of Science:

  • Neuro-oncology
  • Cancer Biology
  • Experimental Therapeutics

Background:

  • Glioblastoma (GBM) is a deadly brain tumor known for resistance to therapies like temozolomide.
  • Glioma stem cells (GSC) within GBM are implicated in this therapeutic resistance.
  • New experimental models are crucial for understanding GBM and developing targeted treatments.

Purpose of the Study:

  • To critically evaluate diverse experimental models for studying Glioblastoma.
  • To compare the advantages and disadvantages of various GBM research models.
  • To inform the development of novel GBM treatment strategies.

Main Methods:

  • Review of established and emerging experimental models for Glioblastoma research.
  • Analysis of xenograft assays, neurospheres, mouse models, and organoids.
  • Evaluation of 3D bioprinting as a novel in vivo model.

Main Results:

  • Traditional models like xenografts and mouse models have limitations in replicating GBM complexity.
  • Neurospheres facilitate selective expansion of glioma stem cells.
  • Organoids and 3D bioprinting offer more faithful in vivo replication of human GBM for drug testing.

Conclusions:

  • Advanced models such as organoids and 3D bioprinting show promise for studying GBM progression and treatment response.
  • Understanding the mechanisms of drug resistance in GBM requires sophisticated experimental systems.
  • These models are vital for accelerating the discovery of effective GBM therapies.

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