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Vandecandelaere G, Ramapriyan R, Gaffey M, Richardson LG, Steuart SJ, Tazhibi M, Kalaw A, Grewal EP, Sun J, Curry WT, Choi BD. Pre-Clinical Models for CAR T-Cell Therapy for Glioma. Cells 2024; 13:1480. [PMID: 39273050 PMCID: PMC11394304 DOI: 10.3390/cells13171480] [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: 07/01/2024] [Revised: 08/28/2024] [Accepted: 09/01/2024] [Indexed: 09/15/2024] Open
Abstract
Immunotherapy represents a transformative shift in cancer treatment. Among myriad immune-based approaches, chimeric antigen receptor (CAR) T-cell therapy has shown promising results in treating hematological malignancies. Despite aggressive treatment options, the prognosis for patients with malignant brain tumors remains poor. Research leveraging CAR T-cell therapy for brain tumors has surged in recent years. Pre-clinical models are crucial in evaluating the safety and efficacy of these therapies before they advance to clinical trials. However, current models recapitulate the human tumor environment to varying degrees. Novel in vitro and in vivo techniques offer the opportunity to validate CAR T-cell therapies but also have limitations. By evaluating the strengths and weaknesses of various pre-clinical glioma models, this review aims to provide a roadmap for the development and pre-clinical testing of CAR T-cell therapies for brain tumors.
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Affiliation(s)
- Gust Vandecandelaere
- Brain Tumor Immunotherapy Lab, Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
- Faculty of Medicine, KU Leuven, 3000 Leuven, Belgium
| | - Rishab Ramapriyan
- Brain Tumor Immunotherapy Lab, Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Matthew Gaffey
- Brain Tumor Immunotherapy Lab, Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Leland Geoffrey Richardson
- Brain Tumor Immunotherapy Lab, Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Samuel Jeffrey Steuart
- Brain Tumor Immunotherapy Lab, Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Masih Tazhibi
- Brain Tumor Immunotherapy Lab, Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Adrian Kalaw
- Brain Tumor Immunotherapy Lab, Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Eric P Grewal
- Brain Tumor Immunotherapy Lab, Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Jing Sun
- Brain Tumor Immunotherapy Lab, Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - William T Curry
- Brain Tumor Immunotherapy Lab, Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Bryan D Choi
- Brain Tumor Immunotherapy Lab, Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
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2
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Stepanović A, Terzić Jovanović N, Korać A, Zlatović M, Nikolić I, Opsenica I, Pešić M. Novel hybrid compounds of sclareol and doxorubicin as potential anticancer nanotherapy for glioblastoma. Biomed Pharmacother 2024; 174:116496. [PMID: 38537581 DOI: 10.1016/j.biopha.2024.116496] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Revised: 03/11/2024] [Accepted: 03/20/2024] [Indexed: 05/01/2024] Open
Abstract
Two novel hybrid compounds, CON1 and CON2, have been developed by combining sclareol (SC) and doxorubicin (DOX) into a single molecular entity. These hybrid compounds have a 1:1 molar ratio of covalently linked SC and DOX. They have demonstrated promising anticancer properties, especially in glioblastoma cells, and have also shown potential in treating multidrug-resistant (MDR) cancer cells that express the P-glycoprotein (P-gp) membrane transporter. CON1 and CON2 form nanoparticles, as confirmed by Zetasizer, transmission electron microscopy (TEM), and chemical modeling. TEM also showed that CON1 and CON2 can be found in glioblastoma cells, specifically in the cytoplasm, different organelles, nucleus, and nucleolus. To examine the anticancer properties, the U87 glioblastoma cell line, and its corresponding multidrug-resistant U87-TxR cell line, as well as patient-derived astrocytoma grade 3 cells (ASC), were used, while normal human lung fibroblasts were used to determine the selectivity. CON1 and CON2 exhibited better resistance and selectivity profiles than DOX, showing less cytotoxicity, as evidenced by real-time cell analysis, DNA damage determination, cell death induction, mitochondrial respiration, and mitochondrial membrane depolarization studies. Cell cycle analysis and the β-galactosidase activity assay suggested that glioblastoma cells die by senescence following CON1 treatment. Overall, CON1 and CON2 showed great potential as they have better anticancer features than DOX. They are promising candidates for additional preclinical and clinical studies on glioblastoma.
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Affiliation(s)
- Ana Stepanović
- Institute for Biological Research "Siniša Stanković" - National Institute of the Republic of Serbia, University of Belgrade, Despota Stefana 142, Belgrade 11108, Serbia
| | - Nataša Terzić Jovanović
- University of Belgrade - Institute of Chemistry, Technology and Metallurgy - National Institute of the Republic of Serbia, Njegoševa 12, Belgrade 11000, Serbia
| | - Aleksandra Korać
- University of Belgrade - Faculty of Biology & Center for Electron Microscopy, Studentski trg 16, Belgrade 11158, Serbia
| | - Mario Zlatović
- University of Belgrade - Faculty of Chemistry, Studentski trg 12-16, Belgrade 11158, Serbia
| | - Igor Nikolić
- Clinic for Neurosurgery, Clinical Center of Serbia, Pasterova 2, Belgrade 11000, Serbia; School of Medicine, University of Belgrade, Doktora Subotića 8v, Belgrade 11000, Serbia
| | - Igor Opsenica
- University of Belgrade - Faculty of Chemistry, Studentski trg 12-16, Belgrade 11158, Serbia
| | - Milica Pešić
- Institute for Biological Research "Siniša Stanković" - National Institute of the Republic of Serbia, University of Belgrade, Despota Stefana 142, Belgrade 11108, Serbia.
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3
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Thenuwara G, Javed B, Singh B, Tian F. Biosensor-Enhanced Organ-on-a-Chip Models for Investigating Glioblastoma Tumor Microenvironment Dynamics. SENSORS (BASEL, SWITZERLAND) 2024; 24:2865. [PMID: 38732975 PMCID: PMC11086276 DOI: 10.3390/s24092865] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/05/2024] [Revised: 04/19/2024] [Accepted: 04/27/2024] [Indexed: 05/13/2024]
Abstract
Glioblastoma, an aggressive primary brain tumor, poses a significant challenge owing to its dynamic and intricate tumor microenvironment. This review investigates the innovative integration of biosensor-enhanced organ-on-a-chip (OOC) models as a novel strategy for an in-depth exploration of glioblastoma tumor microenvironment dynamics. In recent years, the transformative approach of incorporating biosensors into OOC platforms has enabled real-time monitoring and analysis of cellular behaviors within a controlled microenvironment. Conventional in vitro and in vivo models exhibit inherent limitations in accurately replicating the complex nature of glioblastoma progression. This review addresses the existing research gap by pioneering the integration of biosensor-enhanced OOC models, providing a comprehensive platform for investigating glioblastoma tumor microenvironment dynamics. The applications of this combined approach in studying glioblastoma dynamics are critically scrutinized, emphasizing its potential to bridge the gap between simplistic models and the intricate in vivo conditions. Furthermore, the article discusses the implications of biosensor-enhanced OOC models in elucidating the dynamic features of the tumor microenvironment, encompassing cell migration, proliferation, and interactions. By furnishing real-time insights, these models significantly contribute to unraveling the complex biology of glioblastoma, thereby influencing the development of more accurate diagnostic and therapeutic strategies.
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Affiliation(s)
- Gayathree Thenuwara
- School of Food Science and Environmental Health, Technological University Dublin, Grangegorman Lower, D07 H6K8 Dublin, Ireland; (G.T.); (B.J.)
- Institute of Biochemistry, Molecular Biology, and Biotechnology, University of Colombo, Colombo 00300, Sri Lanka
| | - Bilal Javed
- School of Food Science and Environmental Health, Technological University Dublin, Grangegorman Lower, D07 H6K8 Dublin, Ireland; (G.T.); (B.J.)
- Nanolab Research Centre, FOCAS Research Institute, Technological University Dublin, Camden Row, D08 CKP1 Dublin, Ireland
| | - Baljit Singh
- MiCRA Biodiagnostics Technology Gateway, Technological University Dublin (TU Dublin), D24 FKT9 Dublin, Ireland;
| | - Furong Tian
- School of Food Science and Environmental Health, Technological University Dublin, Grangegorman Lower, D07 H6K8 Dublin, Ireland; (G.T.); (B.J.)
- Nanolab Research Centre, FOCAS Research Institute, Technological University Dublin, Camden Row, D08 CKP1 Dublin, Ireland
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4
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Teer L, Yaddanapudi K, Chen J. Biophysical Control of the Glioblastoma Immunosuppressive Microenvironment: Opportunities for Immunotherapy. Bioengineering (Basel) 2024; 11:93. [PMID: 38247970 PMCID: PMC10813491 DOI: 10.3390/bioengineering11010093] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Revised: 01/14/2024] [Accepted: 01/15/2024] [Indexed: 01/23/2024] Open
Abstract
GBM is the most aggressive and common form of primary brain cancer with a dismal prognosis. Current GBM treatments have not improved patient survival, due to the propensity for tumor cell adaptation and immune evasion, leading to a persistent progression of the disease. In recent years, the tumor microenvironment (TME) has been identified as a critical regulator of these pro-tumorigenic changes, providing a complex array of biomolecular and biophysical signals that facilitate evasion strategies by modulating tumor cells, stromal cells, and immune populations. Efforts to unravel these complex TME interactions are necessary to improve GBM therapy. Immunotherapy is a promising treatment strategy that utilizes a patient's own immune system for tumor eradication and has exhibited exciting results in many cancer types; however, the highly immunosuppressive interactions between the immune cell populations and the GBM TME continue to present challenges. In order to elucidate these interactions, novel bioengineering models are being employed to decipher the mechanisms of immunologically "cold" GBMs. Additionally, these data are being leveraged to develop cell engineering strategies to bolster immunotherapy efficacy. This review presents an in-depth analysis of the biophysical interactions of the GBM TME and immune cell populations as well as the systems used to elucidate the underlying immunosuppressive mechanisms for improving current therapies.
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Affiliation(s)
- Landon Teer
- Department of Bioengineering, University of Louisville, Louisville, KY 40292, USA;
| | - Kavitha Yaddanapudi
- Department of Microbiology and Immunology, University of Louisville, Louisville, KY 40202, USA
- Immuno-Oncology Program, Brown Cancer Center, Department of Medicine, University of Louisville, Louisville, KY 40202, USA
- Division of Immunotherapy, Department of Surgery, University of Louisville, Louisville, KY 40202, USA
| | - Joseph Chen
- Department of Bioengineering, University of Louisville, Louisville, KY 40292, USA;
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Yadav N, Purow BW. Understanding current experimental models of glioblastoma-brain microenvironment interactions. J Neurooncol 2024; 166:213-229. [PMID: 38180686 PMCID: PMC11056965 DOI: 10.1007/s11060-023-04536-8] [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: 10/12/2023] [Accepted: 12/07/2023] [Indexed: 01/06/2024]
Abstract
Glioblastoma (GBM) is a common and devastating primary brain tumor, with median survival of 16-18 months after diagnosis in the setting of substantial resistance to standard-of-care and inevitable tumor recurrence. Recent work has implicated the brain microenvironment as being critical for GBM proliferation, invasion, and resistance to treatment. GBM does not operate in isolation, with neurons, astrocytes, and multiple immune populations being implicated in GBM tumor progression and invasiveness. The goal of this review article is to provide an overview of the available in vitro, ex vivo, and in vivo experimental models for assessing GBM-brain interactions, as well as discuss each model's relative strengths and limitations. Current in vitro models discussed will include 2D and 3D co-culture platforms with various cells of the brain microenvironment, as well as spheroids, whole organoids, and models of fluid dynamics, such as interstitial flow. An overview of in vitro and ex vivo organotypic GBM brain slices is also provided. Finally, we conclude with a discussion of the various in vivo rodent models of GBM, including xenografts, syngeneic grafts, and genetically-engineered models of GBM.
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Affiliation(s)
- Niket Yadav
- Department of Neurology, University of Virginia Comprehensive Cancer Center, University of Virginia Health System, Charlottesville, VA, 22903, USA
- Medical Scientist Training Program, School of Medicine, University of Virginia, Charlottesville, VA, 22908, USA
| | - Benjamin W Purow
- Department of Neurology, University of Virginia Comprehensive Cancer Center, University of Virginia Health System, Charlottesville, VA, 22903, USA.
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Slika H, Karimov Z, Alimonti P, Abou-Mrad T, De Fazio E, Alomari S, Tyler B. Preclinical Models and Technologies in Glioblastoma Research: Evolution, Current State, and Future Avenues. Int J Mol Sci 2023; 24:16316. [PMID: 38003507 PMCID: PMC10671665 DOI: 10.3390/ijms242216316] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Revised: 11/07/2023] [Accepted: 11/09/2023] [Indexed: 11/26/2023] Open
Abstract
Glioblastoma is the most common malignant primary central nervous system tumor and one of the most debilitating cancers. The prognosis of patients with glioblastoma remains poor, and the management of this tumor, both in its primary and recurrent forms, remains suboptimal. Despite the tremendous efforts that are being put forward by the research community to discover novel efficacious therapeutic agents and modalities, no major paradigm shifts have been established in the field in the last decade. However, this does not mirror the abundance of relevant findings and discoveries made in preclinical glioblastoma research. Hence, developing and utilizing appropriate preclinical models that faithfully recapitulate the characteristics and behavior of human glioblastoma is of utmost importance. Herein, we offer a holistic picture of the evolution of preclinical models of glioblastoma. We further elaborate on the commonly used in vitro and vivo models, delving into their development, favorable characteristics, shortcomings, and areas of potential improvement, which aids researchers in designing future experiments and utilizing the most suitable models. Additionally, this review explores progress in the fields of humanized and immunotolerant mouse models, genetically engineered animal models, 3D in vitro models, and microfluidics and highlights promising avenues for the future of preclinical glioblastoma research.
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Affiliation(s)
- Hasan Slika
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA; (H.S.); (Z.K.); (S.A.)
| | - Ziya Karimov
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA; (H.S.); (Z.K.); (S.A.)
- Faculty of Medicine, Ege University, 35100 Izmir, Turkey
| | - Paolo Alimonti
- School of Medicine, Vita-Salute San Raffaele University, 20132 Milan, Italy; (P.A.); (E.D.F.)
| | - Tatiana Abou-Mrad
- Faculty of Medicine, American University of Beirut, Beirut P.O. Box 11-0236, Lebanon;
- Department of Neurosurgery, University of Illinois at Chicago, Chicago, IL 60612, USA
| | - Emerson De Fazio
- School of Medicine, Vita-Salute San Raffaele University, 20132 Milan, Italy; (P.A.); (E.D.F.)
| | - Safwan Alomari
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA; (H.S.); (Z.K.); (S.A.)
| | - Betty Tyler
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA; (H.S.); (Z.K.); (S.A.)
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