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White J, White MPJ, Wickremesekera A, Peng L, Gray C. The tumour microenvironment, treatment resistance and recurrence in glioblastoma. J Transl Med 2024; 22:540. [PMID: 38844944 PMCID: PMC11155041 DOI: 10.1186/s12967-024-05301-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2024] [Accepted: 05/13/2024] [Indexed: 06/10/2024] Open
Abstract
The adaptability of glioblastoma (GBM) cells, encouraged by complex interactions with the tumour microenvironment (TME), currently renders GBM an incurable cancer. Despite intensive research, with many clinical trials, GBM patients rely on standard treatments including surgery followed by radiation and chemotherapy, which have been observed to induce a more aggressive phenotype in recurrent tumours. This failure to improve treatments is undoubtedly a result of insufficient models which fail to incorporate components of the human brain TME. Research has increasingly uncovered mechanisms of tumour-TME interactions that correlate to worsened patient prognoses, including tumour-associated astrocyte mitochondrial transfer, neuronal circuit remodelling and immunosuppression. This tumour hijacked TME is highly implicated in driving therapy resistance, with further alterations within the TME and tumour resulting from therapy exposure inducing increased tumour growth and invasion. Recent developments improving organoid models, including aspects of the TME, are paving an exciting future for the research and drug development for GBM, with the hopes of improving patient survival growing closer. This review focuses on GBMs interactions with the TME and their effect on tumour pathology and treatment efficiency, with a look at challenges GBM models face in sufficiently recapitulating this complex and highly adaptive cancer.
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Affiliation(s)
- Jasmine White
- Gillies McIndoe Research Institute, Newtown, Wellington, 6021, New Zealand
- Centre for Biodiscovery and School of Biological Sciences, Victoria University of Wellington, Kelburn, Wellington, 6021, New Zealand
| | | | - Agadha Wickremesekera
- Gillies McIndoe Research Institute, Newtown, Wellington, 6021, New Zealand
- Department of Neurosurgery, Wellington Regional Hospital, Wellington, New Zealand
| | - Lifeng Peng
- Centre for Biodiscovery and School of Biological Sciences, Victoria University of Wellington, Kelburn, Wellington, 6021, New Zealand.
| | - Clint Gray
- Gillies McIndoe Research Institute, Newtown, Wellington, 6021, New Zealand.
- Centre for Biodiscovery and School of Biological Sciences, Victoria University of Wellington, Kelburn, Wellington, 6021, New Zealand.
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Furnari FB, Anastasaki C, Bian S, Fine HA, Koga T, Le LQ, Rodriguez FJ, Gutmann DH. Stem cell modeling of nervous system tumors. Dis Model Mech 2024; 17:dmm050533. [PMID: 38353122 PMCID: PMC10886724 DOI: 10.1242/dmm.050533] [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: 10/01/2023] [Accepted: 12/18/2023] [Indexed: 02/16/2024] Open
Abstract
Nervous system tumors, particularly brain tumors, represent the most common tumors in children and one of the most lethal tumors in adults. Despite decades of research, there are few effective therapies for these cancers. Although human nervous system tumor cells and genetically engineered mouse models have served as excellent platforms for drug discovery and preclinical testing, they have limitations with respect to accurately recapitulating important aspects of the pathobiology of spontaneously arising human tumors. For this reason, attention has turned to the deployment of human stem cell engineering involving human embryonic or induced pluripotent stem cells, in which genetic alterations associated with nervous system cancers can be introduced. These stem cells can be used to create self-assembling three-dimensional cerebral organoids that preserve key features of the developing human brain. Moreover, stem cell-engineered lines are amenable to xenotransplantation into mice as a platform to investigate the tumor cell of origin, discover cancer evolutionary trajectories and identify therapeutic vulnerabilities. In this article, we review the current state of human stem cell models of nervous system tumors, discuss their advantages and disadvantages, and provide consensus recommendations for future research.
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Affiliation(s)
- Frank B Furnari
- Department of Medicine, University of California, San Diego, San Diego, CA 92037, USA
| | - Corina Anastasaki
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Shan Bian
- Institute for Regenerative Medicine, School of Life Sciences and Technology, Tongji University, 200070 Shanghai, China
| | - Howard A Fine
- Department of Neurology, Weill Cornell Medicine, New York, NY 10065, USA
| | - Tomoyuki Koga
- Department of Neurosurgery, University of Minnesota, Minneapolis, MN 55455, USA
| | - Lu Q Le
- Department of Dermatology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - Fausto J Rodriguez
- Division of Neuropathology, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - David H Gutmann
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, USA
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Pasupuleti V, Vora L, Prasad R, Nandakumar DN, Khatri DK. Glioblastoma preclinical models: Strengths and weaknesses. Biochim Biophys Acta Rev Cancer 2024; 1879:189059. [PMID: 38109948 DOI: 10.1016/j.bbcan.2023.189059] [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: 08/26/2023] [Revised: 12/14/2023] [Accepted: 12/15/2023] [Indexed: 12/20/2023]
Abstract
Glioblastoma multiforme is a highly malignant brain tumor with significant intra- and intertumoral heterogeneity known for its aggressive nature and poor prognosis. The complex signaling cascade that regulates this heterogeneity makes targeted drug therapy ineffective. The development of an optimal preclinical model is crucial for the comprehension of molecular heterogeneity and enhancing therapeutic efficacy. The ideal model should establish a relationship between various oncogenes and their corresponding responses. This review presents an analysis of preclinical in vivo and in vitro models that have contributed to the advancement of knowledge in model development. The experimental designs utilized in vivo models consisting of both immunodeficient and immunocompetent mice induced with intracranial glioma. The transgenic model was generated using various techniques, like the viral vector delivery system, transposon system, Cre-LoxP model, and CRISPR-Cas9 approaches. The utilization of the patient-derived xenograft model in glioma research is valuable because it closely replicates the human glioma microenvironment, providing evidence of tumor heterogeneity. The utilization of in vitro techniques in the initial stages of research facilitated the comprehension of molecular interactions. However, these techniques are inadequate in reproducing the interactions between cells and extracellular matrix (ECM). As a result, bioengineered 3D-in vitro models, including spheroids, scaffolds, and brain organoids, were developed to cultivate glioma cells in a three-dimensional environment. These models have enabled researchers to understand the influence of ECM on the invasive nature of tumors. Collectively, these preclinical models effectively depict the molecular pathways and facilitate the evaluation of multiple molecules while tailoring drug therapy.
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Affiliation(s)
- Vasavi Pasupuleti
- Department of Pharmacology and Toxicology, National Institute of Pharmaceutical Education and Research (NIPER), Hyderabad, Telangana, India
| | - Lalitkumar Vora
- School of Pharmacy, Queen's University Belfast, 97 Lisburn Road, BT9 7BL, UK.
| | - Renuka Prasad
- Department of Anatomy, Korea University College of Medicine, Moonsuk Medical Research Building, 516, 5th floor, 73 Inchon-ro, Seongbuk-gu, Seoul 12841, Republic of Korea
| | - D N Nandakumar
- Department of Neurochemistry National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore 560029, India
| | - Dharmendra Kumar Khatri
- Department of Pharmacology and Toxicology, National Institute of Pharmaceutical Education and Research (NIPER), Hyderabad, Telangana, India.
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Brynjulvsen M, Solli E, Walewska M, Zucknick M, Djirackor L, Langmoen IA, Mughal AA, Skaga E, Vik-Mo EO, Sandberg CJ. Functional and Molecular Heterogeneity in Glioma Stem Cells Derived from Multiregional Sampling. Cancers (Basel) 2023; 15:5826. [PMID: 38136371 PMCID: PMC10741477 DOI: 10.3390/cancers15245826] [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: 11/07/2023] [Revised: 12/09/2023] [Accepted: 12/11/2023] [Indexed: 12/24/2023] Open
Abstract
Glioblastoma (GBM) is an aggressive and highly heterogeneous primary brain tumor. Glioma stem cells represent a subpopulation of tumor cells with stem cell traits that are presumed to be the cause of tumor relapse. There exists complex tumor heterogeneity in drug sensitivity patterns between glioma stem cell (GSC) cultures derived from different patients. Here, we describe that heterogeneity also exists between GSC cultures derived from multiple biopsies within a single tumor. From biopsies harvested within spatially distinct regions representing the entire tumor mass, we established seven GSC cultures and compared their stem cell properties, mutations, gene expression profiles, and drug sensitivity patterns against 115 different anticancer drugs. The results were compared to 14 GSC cultures derived from other patients. Between the multiregional-derived GSC cultures, we observed only minor differences in their phenotype, proliferative capacity, and global gene expression. Further, they displayed intratumoral heterogeneity in mutational profiles and sensitivity patterns to anticancer drugs. This heterogeneity, however, did not exceed the extensive heterogeneity found between GSC cultures derived from other GBM patients. Our results suggest that the use of GSC cultures from one single focal biopsy may underestimate the overall complexity of the GSC population and display the importance of including GSC cultures reflecting the entire tumor mass in drug screening strategies.
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Affiliation(s)
- Marit Brynjulvsen
- Vilhelm Magnus Lab, Institute for Surgical Research and Department of Neurosurgery, Oslo University Hospital, Nydalen, P.O. Box 4950, 0424 Oslo, Norway
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Blindern, P.O. Box 1112, 0317 Oslo, Norway
| | - Elise Solli
- Vilhelm Magnus Lab, Institute for Surgical Research and Department of Neurosurgery, Oslo University Hospital, Nydalen, P.O. Box 4950, 0424 Oslo, Norway
| | - Maria Walewska
- Vilhelm Magnus Lab, Institute for Surgical Research and Department of Neurosurgery, Oslo University Hospital, Nydalen, P.O. Box 4950, 0424 Oslo, Norway
| | - Manuela Zucknick
- Department of Biostatistics, Oslo Centre for Biostatistics and Epidemiology, University of Oslo, Blindern, P.O. Box 1122, 0317 Oslo, Norway
| | - Luna Djirackor
- Vilhelm Magnus Lab, Institute for Surgical Research and Department of Neurosurgery, Oslo University Hospital, Nydalen, P.O. Box 4950, 0424 Oslo, Norway
| | - Iver A. Langmoen
- Vilhelm Magnus Lab, Institute for Surgical Research and Department of Neurosurgery, Oslo University Hospital, Nydalen, P.O. Box 4950, 0424 Oslo, Norway
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Blindern, P.O. Box 1112, 0317 Oslo, Norway
| | - Awais Ahmad Mughal
- Vilhelm Magnus Lab, Institute for Surgical Research and Department of Neurosurgery, Oslo University Hospital, Nydalen, P.O. Box 4950, 0424 Oslo, Norway
| | - Erlend Skaga
- Vilhelm Magnus Lab, Institute for Surgical Research and Department of Neurosurgery, Oslo University Hospital, Nydalen, P.O. Box 4950, 0424 Oslo, Norway
| | - Einar O. Vik-Mo
- Vilhelm Magnus Lab, Institute for Surgical Research and Department of Neurosurgery, Oslo University Hospital, Nydalen, P.O. Box 4950, 0424 Oslo, Norway
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Blindern, P.O. Box 1112, 0317 Oslo, Norway
| | - Cecilie J. Sandberg
- Vilhelm Magnus Lab, Institute for Surgical Research and Department of Neurosurgery, Oslo University Hospital, Nydalen, P.O. Box 4950, 0424 Oslo, Norway
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Castresana JS, Meléndez B. Glioblastoma Biology, Genetics and Possible Therapies. Cells 2023; 12:2063. [PMID: 37626873 PMCID: PMC10453586 DOI: 10.3390/cells12162063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Accepted: 08/10/2023] [Indexed: 08/27/2023] Open
Abstract
Glioblastoma is the most aggressive intracranial tumor [...].
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Affiliation(s)
- Javier S. Castresana
- Department of Biochemistry and Genetics, University of Navarra School of Sciences, 31008 Pamplona, Spain
| | - Bárbara Meléndez
- Molecular Pathology Research Unit, Virgen de la Salud Hospital, 45005 Toledo, Spain;
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Kumari S, Gupta R, Ambasta RK, Kumar P. Multiple therapeutic approaches of glioblastoma multiforme: From terminal to therapy. Biochim Biophys Acta Rev Cancer 2023; 1878:188913. [PMID: 37182666 DOI: 10.1016/j.bbcan.2023.188913] [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: 03/29/2023] [Revised: 04/24/2023] [Accepted: 05/10/2023] [Indexed: 05/16/2023]
Abstract
Glioblastoma multiforme (GBM) is an aggressive brain cancer showing poor prognosis. Currently, treatment methods of GBM are limited with adverse outcomes and low survival rate. Thus, advancements in the treatment of GBM are of utmost importance, which can be achieved in recent decades. However, despite aggressive initial treatment, most patients develop recurrent diseases, and the overall survival rate of patients is impossible to achieve. Currently, researchers across the globe target signaling events along with tumor microenvironment (TME) through different drug molecules to inhibit the progression of GBM, but clinically they failed to demonstrate much success. Herein, we discuss the therapeutic targets and signaling cascades along with the role of the organoids model in GBM research. Moreover, we systematically review the traditional and emerging therapeutic strategies in GBM. In addition, we discuss the implications of nanotechnologies, AI, and combinatorial approach to enhance GBM therapeutics.
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Affiliation(s)
- Smita Kumari
- Molecular Neuroscience and Functional Genomics Laboratory, Department of Biotechnology, Delhi Technological University, India
| | - Rohan Gupta
- Molecular Neuroscience and Functional Genomics Laboratory, Department of Biotechnology, Delhi Technological University, India
| | - Rashmi K Ambasta
- Molecular Neuroscience and Functional Genomics Laboratory, Department of Biotechnology, Delhi Technological University, India
| | - Pravir Kumar
- Molecular Neuroscience and Functional Genomics Laboratory, Department of Biotechnology, Delhi Technological University, India.
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