Integrating the glioblastoma microenvironment into engineered experimental models.

Area of Science:

• Neuro-oncology
• Cancer Biology
• Biomedical Engineering

Background:

• Glioblastoma (GBM) is the most lethal primary brain tumor.
• Therapeutic resistance and invasive spread in GBM are significantly influenced by the tumor microenvironment.
• Existing models often fail to replicate the complex GBM microenvironment accurately.

Purpose of the Study:

• To review the impact of the microenvironment on Glioblastoma progression.
• To discuss current experimental models for Glioblastoma.
• To highlight advancements in bioengineered microenvironments for Glioblastoma research.

Main Methods:

• Review of existing literature on Glioblastoma models and microenvironment.
• Analysis of bioengineered platforms mimicking GBM tumor properties.
• Discussion of ex vivo experimental approaches.

Main Results:

• The tumor microenvironment critically affects GBM therapeutic resistance and invasion.
• Bioengineered microenvironments offer a more accurate mimicry of GBM's biochemical and physical properties.
• These advanced models can provide clinically relevant data.

Conclusions:

• Understanding the GBM microenvironment is key to overcoming therapeutic resistance.
• Bioengineered ex vivo models represent a significant advancement in Glioblastoma research.
• New models are essential for developing effective Glioblastoma treatments.