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Maity S, Bhuyan T, Jewell C, Kawakita S, Sharma S, Nguyen HT, Najafabadi AH, Ermis M, Falcone N, Chen J, Mandal K, Khorsandi D, Yilgor C, Choroomi A, Torres E, Mecwan M, John JV, Akbari M, Wang Z, Moniz-Garcia D, Quiñones-Hinojosa A, Jucaud V, Dokmeci MR, Khademhosseini A. Recent Developments in Glioblastoma-On-A-Chip for Advanced Drug Screening Applications. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2025; 21:e2405511. [PMID: 39535474 PMCID: PMC11719323 DOI: 10.1002/smll.202405511] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/03/2024] [Revised: 09/08/2024] [Indexed: 11/16/2024]
Abstract
Glioblastoma (GBM) is an aggressive form of cancer, comprising ≈80% of malignant brain tumors. However, there are no effective treatments for GBM due to its heterogeneity and the presence of the blood-brain barrier (BBB), which restricts the delivery of therapeutics to the brain. Despite in vitro models contributing to the understanding of GBM, conventional 2D models oversimplify the complex tumor microenvironment. Organ-on-a-chip (OoC) models have emerged as promising platforms that recapitulate human tissue physiology, enabling disease modeling, drug screening, and personalized medicine. There is a sudden increase in GBM-on-a-chip models that can significantly advance the knowledge of GBM etiology and revolutionize drug development by reducing animal testing and enhancing translation to the clinic. In this review, an overview of GBM-on-a-chip models and their applications is reported for drug screening and discussed current challenges and potential future directions for GBM-on-a-chip models.
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Affiliation(s)
- Surjendu Maity
- Terasaki Institute for Biomedical Innovation, Los Angeles,
CA, 90064 USA
- Department of Orthopedic Surgery, Duke University School of
Medicine, Duke University, Durham, NC 27705
| | - Tamanna Bhuyan
- Department of Applied Biology, School of Biological
Sciences, University of Science & Technology Meghalaya, Meghalaya, 793101,
India
| | - Christopher Jewell
- Terasaki Institute for Biomedical Innovation, Los Angeles,
CA, 90064 USA
| | - Satoru Kawakita
- Terasaki Institute for Biomedical Innovation, Los Angeles,
CA, 90064 USA
| | - Saurabh Sharma
- Terasaki Institute for Biomedical Innovation, Los Angeles,
CA, 90064 USA
| | - Huu Tuan Nguyen
- Terasaki Institute for Biomedical Innovation, Los Angeles,
CA, 90064 USA
| | | | - Menekse Ermis
- Terasaki Institute for Biomedical Innovation, Los Angeles,
CA, 90064 USA
- Center of Excellence in Biomaterials and Tissue
Engineering, Middle East Technical University, Ankara, Turkey
| | - Natashya Falcone
- Terasaki Institute for Biomedical Innovation, Los Angeles,
CA, 90064 USA
| | - Junjie Chen
- Terasaki Institute for Biomedical Innovation, Los Angeles,
CA, 90064 USA
| | - Kalpana Mandal
- Terasaki Institute for Biomedical Innovation, Los Angeles,
CA, 90064 USA
| | - Danial Khorsandi
- Terasaki Institute for Biomedical Innovation, Los Angeles,
CA, 90064 USA
| | - Can Yilgor
- Terasaki Institute for Biomedical Innovation, Los Angeles,
CA, 90064 USA
| | - Auveen Choroomi
- Terasaki Institute for Biomedical Innovation, Los Angeles,
CA, 90064 USA
| | - Emily Torres
- Terasaki Institute for Biomedical Innovation, Los Angeles,
CA, 90064 USA
| | - Marvin Mecwan
- Terasaki Institute for Biomedical Innovation, Los Angeles,
CA, 90064 USA
| | - Johnson V. John
- Terasaki Institute for Biomedical Innovation, Los Angeles,
CA, 90064 USA
| | - Mohsen Akbari
- Terasaki Institute for Biomedical Innovation, Los Angeles,
CA, 90064 USA
- Laboratoryfor Innovations in Micro Engineering (LiME),
Department of Mechanical Engineering, University of Victoria, Victoria, BC V8P 5C2,
Canada
- Biotechnology Center, Silesian University of Technology,
Akademicka 2A, 44-100 Gliwice, Poland
| | - Zhaohui Wang
- Terasaki Institute for Biomedical Innovation, Los Angeles,
CA, 90064 USA
| | | | | | - Vadim Jucaud
- Terasaki Institute for Biomedical Innovation, Los Angeles,
CA, 90064 USA
| | | | - Ali Khademhosseini
- Terasaki Institute for Biomedical Innovation, Los Angeles,
CA, 90064 USA
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Shahi M, Pringle S, Morris M, Garcia DM, Quiñones-Hinojosa A, Cooks RG. Detection of IDH mutation in glioma by desorption electrospray ionization (DESI) tandem mass spectrometry. Sci Rep 2024; 14:26865. [PMID: 39500924 PMCID: PMC11538546 DOI: 10.1038/s41598-024-77044-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2024] [Accepted: 10/18/2024] [Indexed: 11/08/2024] Open
Abstract
Desorption electrospray ionization (DESI) tandem mass spectrometry (MS) is used to assess mutation status of isocitrate dehydrogenase (IDH) in human gliomas. Due to the diffuse nature of gliomas, total gross resection is not normally achieved during surgery, leading to tumor recurrence. The mutation status of IDH has clinical significance due to better prognosis in IDH-mutant patients. The mutant IDH converts alpha-ketoglutaric acid (α-KG) into 2-hydroxyglutarate (2HG), which accumulates abnormally in cells. Immunohistochemical staining (IHC) and genetic testing, the gold standards, are incompatible with intraoperative applications but DESI tandem mass spectrometry (MS/MS) can be used to assess the mutation status of IDH enzyme from tissue intraoperatively. Here, on off-line evaluation is made of the performance of two different types of mass spectrometers in characterization of IDH mutation status. The intensity of 2HG is measured against glutamate (Glu), an intrinsic reference molecule, in both tandem MS measurements. In both cases using DESI clear separation between IDH-mutant (mut) and IDH-wildtype (wt) samples (p < 0.0001) is observed, despite the short analysis time. Due to the higher detection sensitivity, multiple reaction monitoring experiments using a triple quadrupole show slightly better performance compared to product ion MS/MS performed on a simple linear ion trap. Both DESI-MS platforms are capable of providing information on IDH mutation status, which might in future be used at the time of surgery to support decision-making on resection regions, especially at tumor margins.
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Affiliation(s)
- Mahdiyeh Shahi
- Department of Chemistry, Purdue University, West Lafayette, IN, 47907, USA
| | | | | | | | | | - R Graham Cooks
- Department of Chemistry, Purdue University, West Lafayette, IN, 47907, USA.
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