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Modeling Astrocytoma Pathogenesis In Vitro and In Vivo Using Cortical Astrocytes or Neural Stem Cells from Conditional, Genetically Engineered Mice

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Glioma-on-a-Chip Models.

Merve Ustun¹, Sajjad Rahmani Dabbagh^2,3, Irem Sultan Ilci⁴

¹Graduate School of Sciences and Engineering, Koc University, Sariyer, 34450 Istanbul, Turkey.

|April 30, 2021

Summary

This summary is machine-generated.

Glioma-on-chip platforms offer a novel way to study brain tumors. These advanced models aid in understanding glioma, improving treatments, and developing personalized medicine for better patient survival.

Keywords:

brain disease-on-a-chip glioma organ-on-a-chip tissue-on-a-chip tumor-on-a-chip

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Published on: August 16, 2020

Area of Science:

Neuro-oncology
Biotechnology
Cancer Research

Background:

Glioma is an aggressive brain cancer with poor patient survival rates, often fatal within 12-14 months.
Current therapeutic approaches have limited long-term efficacy for glioma patients.
Malignant brain tumors account for a significant portion of all brain cancers, with glioma being the most prevalent.

Purpose of the Study:

To review the latest advancements in glioma-on-chip technologies.
To discuss the applications of these platforms in therapy, drug screening, and cell behavior studies.
To explore current challenges and future research directions in the field of glioma-on-chip models.

Main Methods:

Utilizing continuous perfusion to mimic in vivo metabolic functions of glioma cells.
Developing advanced analytical platforms for cancer cell studies.
Reviewing recent literature on glioma-on-chip technology development and applications.

Main Results:

Glioma-on-chip platforms provide a unique opportunity to understand glioma development.
These models facilitate the determination of effective radiotherapy strategies and drug combinations.
The technology allows for screening potential drug side effects on other organs.

Conclusions:

Glioma-on-chip technologies represent a significant step towards enhancing treatment efficacy and patient survival.
These platforms are crucial for advancing personalized medicine in glioma treatment.
Further research and development are needed to overcome current challenges and fully realize the potential of these models.