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Glioma-on-a-Chip Models

Merve Ustun, Sajjad Rahmani Dabbagh, Irem Ilci, Tugba Bagcı-Önder, Savaş Taşoğlu

2021Micromachines35 citationsDOIOpen Access PDF

Abstract

Glioma, as an aggressive type of cancer, accounts for virtually 80% of malignant brain tumors. Despite advances in therapeutic approaches, the long-term survival of glioma patients is poor (it is usually fatal within 12-14 months). Glioma-on-chip platforms, with continuous perfusion, mimic in vivo metabolic functions of cancer cells for analytical purposes. This offers an unprecedented opportunity for understanding the underlying reasons that arise glioma, determining the most effective radiotherapy approach, testing different drug combinations, and screening conceivable side effects of drugs on other organs. Glioma-on-chip technologies can ultimately enhance the efficacy of treatments, promote the survival rate of patients, and pave a path for personalized medicine. In this perspective paper, we briefly review the latest developments of glioma-on-chip technologies, such as therapy applications, drug screening, and cell behavior studies, and discuss the current challenges as well as future research directions in this field.

Topics & Concepts

GliomaRadiation therapyMedicineCancerComputer scienceMedical physicsNeuroscienceCancer researchPsychologyInternal medicine3D Printing in Biomedical ResearchInnovative Microfluidic and Catalytic Techniques InnovationNeuroscience and Neural Engineering
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