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Chakraborty A, Yang C, Kresak JL, Silver A, Feier D, Tian G, Andrews M, Sobanjo OO, Hodge ED, Engelbart MK, Huang J, Harrison JK, Sarkisian MR, Mitchell DA, Deleyrolle LP. KR158 spheres harboring slow-cycling cells recapitulate GBM features in an immunocompetent system. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.01.26.577279. [PMID: 38501121 PMCID: PMC10945590 DOI: 10.1101/2024.01.26.577279] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/20/2024]
Abstract
Glioblastoma (GBM) poses a significant challenge in clinical oncology due to its aggressive nature, heterogeneity, and resistance to therapies. Cancer stem cells (CSCs) play a critical role in GBM, particularly in treatment-resistance and tumor relapse, emphasizing the need to comprehend the mechanisms regulating these cells. Also, their multifaceted contributions to the tumor-microenvironment (TME) underline their significance, driven by their unique properties. This study aimed to characterize glioblastoma stem cells (GSCs), specifically slow-cycling cells (SCCs), in an immunocompetent murine GBM model to explore their similarities with their human counterparts. Using the KR158 mouse model, we confirmed that SCCs isolated from this model exhibited key traits and functional properties akin to human SCCs. KR158 murine SCCs, expanded in the gliomasphere assay, demonstrated sphere forming ability, self-renewing capacity, positive tumorigenicity, enhanced stemness and resistance to chemotherapy. Together, our findings validate the KR158 murine model as a framework to investigate GSCs and SCCs in GBM-pathology, and explore specifically the SCC-immune system communications, understand their role in disease progression, and evaluate the effect of therapeutic strategies targeting these specific connections.
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Hicks WH, Gattie LC, Traylor JI, Davar D, Najjar YG, Richardson DO TE, McBrayer SK, Abdullah KG. Matched three-dimensional organoids and two-dimensional cell lines of melanoma brain metastases mirror response to targeted molecular therapy. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.01.18.576318. [PMID: 38328251 PMCID: PMC10849477 DOI: 10.1101/2024.01.18.576318] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/09/2024]
Abstract
Purpose Despite significant advances in the treatment paradigm for patients with metastatic melanoma, melanoma brain metastasis (MBM) continues to represent a significant treatment challenge. The study of MBM is limited, in part, by shortcomings in existing preclinical models. Surgically eXplanted Organoids (SXOs) are ex vivo, three-dimensional cultures prepared from primary tissue samples with minimal processing that recapitulate genotypic and phenotypic features of parent tumors and are grown without artificial extracellular scaffolding. We aimed to develop the first matched patient-derived SXO and cell line models of MBM to investigate responses to targeted therapy. Methods MBM SXOs were created by a novel protocol incorporating techniques for establishing glioma and cutaneous melanoma organoids. A BRAFV600K-mutant and BRAF-wildtype MBM sample were collected directly from the operating room for downstream experiments. Organoids were cultured in an optimized culture medium without an artificial extracellular scaffold. Concurrently, matched patient-derived cell lines were created. Drug screens were conducted to assess treatment response in SXOs and cell lines. Results Organoid growth was observed within 3-4 weeks, and MBM SXOs retained histological features of the parent tissue, including pleomorphic epithelioid cells with abundant cytoplasm, large nuclei, focal melanin accumulation, and strong SOX10 positivity. After sufficient growth, organoids could be manually parcellated to increase the number of replicates. Matched SXOs and cell lines demonstrated sensitivity to BRAF and MEK inhibitors. Conclusion Here, we describe the creation of a scaffold-free organoid model of MBM. Further study using SXOs may improve the translational relevance of preclinical studies and enable the study of the metastatic melanoma tumor microenvironment.
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Affiliation(s)
- William H. Hicks
- Department of Neurosurgery, University of Pittsburgh School of Medicine, 200 Lothrop St, Pittsburgh, PA, 15213, USA
- Hillman Comprehensive Cancer Center, University of Pittsburgh Medical Center, 5115 Centre Ave, Pittsburgh, PA, 15232, USA
| | - Lauren C. Gattie
- Department of Neurosurgery, University of Pittsburgh School of Medicine, 200 Lothrop St, Pittsburgh, PA, 15213, USA
- Hillman Comprehensive Cancer Center, University of Pittsburgh Medical Center, 5115 Centre Ave, Pittsburgh, PA, 15232, USA
| | - Jeffrey I Traylor
- Children’s Medical Center Research Institute, University of Texas Southwestern Medical Center, 6000 Harry Hines Blvd, Dallas, TX, 75235, USA
- Department of Neurosurgery, University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA
| | - Diwakar Davar
- Hillman Comprehensive Cancer Center, University of Pittsburgh Medical Center, 5115 Centre Ave, Pittsburgh, PA, 15232, USA
| | - Yana G. Najjar
- Hillman Comprehensive Cancer Center, University of Pittsburgh Medical Center, 5115 Centre Ave, Pittsburgh, PA, 15232, USA
| | - Timothy E. Richardson DO
- Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, 11029, USA
| | - Samuel K. McBrayer
- Children’s Medical Center Research Institute, University of Texas Southwestern Medical Center, 6000 Harry Hines Blvd, Dallas, TX, 75235, USA
- Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
- Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA
| | - Kalil G. Abdullah
- Department of Neurosurgery, University of Pittsburgh School of Medicine, 200 Lothrop St, Pittsburgh, PA, 15213, USA
- Hillman Comprehensive Cancer Center, University of Pittsburgh Medical Center, 5115 Centre Ave, Pittsburgh, PA, 15232, USA
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Kim JY, Hong N, Park S, Ham SW, Kim EJ, Kim SO, Jang J, Kim Y, Kim JK, Kim SC, Park JW, Kim H. Jagged1 intracellular domain/SMAD3 complex transcriptionally regulates TWIST1 to drive glioma invasion. Cell Death Dis 2023; 14:822. [PMID: 38092725 PMCID: PMC10719344 DOI: 10.1038/s41419-023-06356-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Revised: 11/25/2023] [Accepted: 11/30/2023] [Indexed: 12/17/2023]
Abstract
Jagged1 (JAG1) is a Notch ligand that correlates with tumor progression. Not limited to its function as a ligand, JAG1 can be cleaved, and its intracellular domain translocates to the nucleus, where it functions as a transcriptional cofactor. Previously, we showed that JAG1 intracellular domain (JICD1) forms a protein complex with DDX17/SMAD3/TGIF2. However, the molecular mechanisms underlying JICD1-mediated tumor aggressiveness remains unclear. Here, we demonstrate that JICD1 enhances the invasive phenotypes of glioblastoma cells by transcriptionally activating epithelial-to-mesenchymal transition (EMT)-related genes, especially TWIST1. The inhibition of TWIST1 reduced JICD1-driven tumor aggressiveness. Although SMAD3 is an important component of transforming growth factor (TGF)-β signaling, the JICD1/SMAD3 transcriptional complex was shown to govern brain tumor invasion independent of TGF-β signaling. Moreover, JICD1-TWIST1-MMP2 and MMP9 axes were significantly correlated with clinical outcome of glioblastoma patients. Collectively, we identified the JICD1/SMAD3-TWIST1 axis as a novel inducer of invasive phenotypes in cancer cells.
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Affiliation(s)
- Jung Yun Kim
- Department of Biotechnology, College of Life Sciences and Biotechnology, Korea University, Seoul, 02841, Republic of Korea
- Institute of Animal Molecular Biotechnology, Korea University, Seoul, 02841, Republic of Korea
| | - Nayoung Hong
- Department of Biotechnology, College of Life Sciences and Biotechnology, Korea University, Seoul, 02841, Republic of Korea
- Institute of Animal Molecular Biotechnology, Korea University, Seoul, 02841, Republic of Korea
| | - Sehyeon Park
- Department of Biotechnology, College of Life Sciences and Biotechnology, Korea University, Seoul, 02841, Republic of Korea
- Institute of Animal Molecular Biotechnology, Korea University, Seoul, 02841, Republic of Korea
| | - Seok Won Ham
- MEDIFIC Inc., Hwaseong-si, Gyeonggi-do, 18469, Republic of Korea
| | - Eun-Jung Kim
- MEDIFIC Inc., Hwaseong-si, Gyeonggi-do, 18469, Republic of Korea
| | - Sung-Ok Kim
- Department of Biochemistry, College of Medicine, Hallym University, Chuncheon, 24252, Republic of Korea
| | - Junseok Jang
- Department of Biotechnology, College of Life Sciences and Biotechnology, Korea University, Seoul, 02841, Republic of Korea
- Institute of Animal Molecular Biotechnology, Korea University, Seoul, 02841, Republic of Korea
| | - Yoonji Kim
- Department of Biotechnology, College of Life Sciences and Biotechnology, Korea University, Seoul, 02841, Republic of Korea
- Institute of Animal Molecular Biotechnology, Korea University, Seoul, 02841, Republic of Korea
| | - Jun-Kyum Kim
- MEDIFIC Inc., Hwaseong-si, Gyeonggi-do, 18469, Republic of Korea
| | - Sung-Chan Kim
- Department of Biochemistry, College of Medicine, Hallym University, Chuncheon, 24252, Republic of Korea
| | - Jong-Whi Park
- Department of Life Sciences, Gachon University, Incheon, 21999, Republic of Korea.
| | - Hyunggee Kim
- Department of Biotechnology, College of Life Sciences and Biotechnology, Korea University, Seoul, 02841, Republic of Korea.
- Institute of Animal Molecular Biotechnology, Korea University, Seoul, 02841, Republic of Korea.
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4
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Stransky N, Ganser K, Quintanilla-Martinez L, Gonzalez-Menendez I, Naumann U, Eckert F, Koch P, Huber SM, Ruth P. Efficacy of combined tumor irradiation and K Ca3.1-targeting with TRAM-34 in a syngeneic glioma mouse model. Sci Rep 2023; 13:20604. [PMID: 37996600 PMCID: PMC10667541 DOI: 10.1038/s41598-023-47552-4] [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: 05/24/2023] [Accepted: 11/15/2023] [Indexed: 11/25/2023] Open
Abstract
The intermediate-conductance calcium-activated potassium channel KCa3.1 has been proposed to be a new potential target for glioblastoma treatment. This study analyzed the effect of combined irradiation and KCa3.1-targeting with TRAM-34 in the syngeneic, immune-competent orthotopic SMA-560/VM/Dk glioma mouse model. Whereas neither irradiation nor TRAM-34 treatment alone meaningfully prolonged the survival of the animals, the combination significantly prolonged the survival of the mice. We found an irradiation-induced hyperinvasion of glioma cells into the brain, which was inhibited by concomitant TRAM-34 treatment. Interestingly, TRAM-34 did neither radiosensitize nor impair SMA-560's intrinsic migratory capacities in vitro. Exploratory findings hint at increased TGF-β1 signaling after irradiation. On top, we found a marginal upregulation of MMP9 mRNA, which was inhibited by TRAM-34. Last, infiltration of CD3+, CD8+ or FoxP3+ T cells was not impacted by either irradiation or KCa3.1 targeting and we found no evidence of adverse events of the combined treatment. We conclude that concomitant irradiation and TRAM-34 treatment is efficacious in this preclinical glioma model.
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Affiliation(s)
- Nicolai Stransky
- Department of Radiation Oncology, University of Tübingen, Hoppe-Seyler-Str. 3, 72076, Tübingen, Germany
- Department of Pharmacology, Toxicology and Clinical Pharmacy, Institute of Pharmacy, University of Tübingen, 72076, Tübingen, Germany
| | - Katrin Ganser
- Department of Radiation Oncology, University of Tübingen, Hoppe-Seyler-Str. 3, 72076, Tübingen, Germany
| | - Leticia Quintanilla-Martinez
- Institute of Pathology and Neuropathology, Comprehensive Cancer Center, Eberhard Karls University of Tübingen, 72076, Tübingen, Germany
- Cluster of Excellence iFIT (EXC 2180) "Image-Guided and Functionally Instructed Tumor Therapies", Eberhard Karls University, Tübingen, Germany
| | - Irene Gonzalez-Menendez
- Institute of Pathology and Neuropathology, Comprehensive Cancer Center, Eberhard Karls University of Tübingen, 72076, Tübingen, Germany
- Cluster of Excellence iFIT (EXC 2180) "Image-Guided and Functionally Instructed Tumor Therapies", Eberhard Karls University, Tübingen, Germany
| | - Ulrike Naumann
- Molecular Neurooncology, Hertie Institute for Clinical Brain Research and Center Neurology, University of Tübingen, 72076, Tübingen, Germany
- Faculty of Medicine University, Gene and RNA Therapy Center (GRTC), Tübingen, Germany
| | - Franziska Eckert
- Department of Radiation Oncology, University of Tübingen, Hoppe-Seyler-Str. 3, 72076, Tübingen, Germany
- Department of Radiation Oncology, Comprehensive Cancer Center, Medical University Vienna, AKH, Wien, Austria
| | - Pierre Koch
- Department of Pharmaceutical/Medicinal Chemistry II, Institute of Pharmacy, University of Regensburg, 93040, Regensburg, Germany
| | - Stephan M Huber
- Department of Radiation Oncology, University of Tübingen, Hoppe-Seyler-Str. 3, 72076, Tübingen, Germany.
| | - Peter Ruth
- Department of Pharmacology, Toxicology and Clinical Pharmacy, Institute of Pharmacy, University of Tübingen, 72076, Tübingen, Germany
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Kriuchkovskaia V, Eames EK, Riggins RB, Harley BAC. Acquired temozolomide resistance instructs patterns of glioblastoma behavior in gelatin hydrogels. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.11.14.567115. [PMID: 38014332 PMCID: PMC10680767 DOI: 10.1101/2023.11.14.567115] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/29/2023]
Abstract
Acquired drug resistance in glioblastoma (GBM) presents a major clinical challenge and is a key factor contributing to abysmal prognosis, with less than 15 months median overall survival. Aggressive chemotherapy with the frontline therapeutic, temozolomide (TMZ), ultimately fails to kill residual highly invasive tumor cells after surgical resection and radiotherapy. Here, we report a three-dimensional (3D) engineered model of acquired TMZ resistance using two isogenically-matched sets of GBM cell lines encapsulated in gelatin methacrylol hydrogels. We benchmark response of TMZ-resistant vs. TMZ-sensitive GBM cell lines within the gelatin-based extracellular matrix platform and further validate drug response at physiologically relevant TMZ concentrations. We show changes in drug sensitivity, cell invasion, and matrix-remodeling cytokine production as the result of acquired TMZ resistance. This platform lays the foundation for future investigations targeting key elements of the GBM tumor microenvironment to combat GBM's devastating impact by advancing our understanding of GBM progression and treatment response to guide the development of novel treatment strategies. Teaser A hydrogel model to investigate the impact of acquired drug resistance on functional response in glioblastoma.
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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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7
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Chen X, Deng R, Su D, Ma X, Han X, Wang S, Xia Y, Yang Z, Gong N, Jia Y, Gao X, Ren X. Visual genetic typing of glioma using proximity-anchored in situ spectral coding amplification. EXPLORATION (BEIJING, CHINA) 2023; 3:20220175. [PMID: 37933281 PMCID: PMC10582607 DOI: 10.1002/exp.20220175] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Accepted: 04/21/2023] [Indexed: 11/08/2023]
Abstract
Gliomas are histologically and genetically heterogeneous tumors. However, classical histopathological typing often ignores the high heterogeneity of tumors and thus cannot meet the requirements of precise pathological diagnosis. Here, proximity-anchored in situ spectral coding amplification (ProxISCA) is proposed for multiplexed imaging of RNA mutations, enabling visual typing of brain gliomas with different pathological grades at the single-cell and tissue levels. The ligation-based padlock probe can discriminate one-nucleotide variations, and the design of proximity primers enables the anchoring of amplicons on target RNA, thus improving localization accuracy. The DNA module-based spectral coding strategy can dramatically improve the multiplexing capacity for imaging RNA mutations through one-time labelling, with low cost and simple operation. One-target-one-amplicon amplification confers ProxISCA the ability to quantify RNA mutation copy number with single-molecule resolution. Based on this approach, it is found that gliomas with higher malignant grades express more genes with high correlation at the cellular and tissue levels and show greater cellular heterogeneity. ProxISCA provides a tool for glioma research and precise diagnosis, which can reveal the relationship between cellular heterogeneity and glioma occurrence or development and assist in pathological prognosis.
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Affiliation(s)
- Xiaolei Chen
- Department of Chemistry and BiologyFaculty of Environment and Life ScienceBeijing University of TechnologyBeijingChina
| | - Ruijie Deng
- College of Biomass Science and EngineeringHealthy Food Evaluation Research CenterSichuan UniversityChengduChina
| | - Dongdong Su
- Department of Chemistry and BiologyFaculty of Environment and Life ScienceBeijing University of TechnologyBeijingChina
| | - Xiaochen Ma
- Department of Chemistry and BiologyFaculty of Environment and Life ScienceBeijing University of TechnologyBeijingChina
| | - Xu Han
- Institute of High Energy PhysicsChinese Academy of SciencesBeijingChina
| | - Shizheng Wang
- Department of Chemistry and BiologyFaculty of Environment and Life ScienceBeijing University of TechnologyBeijingChina
| | - Yuqing Xia
- Department of Chemistry and BiologyFaculty of Environment and Life ScienceBeijing University of TechnologyBeijingChina
| | - Zifu Yang
- Department of Chemistry and BiologyFaculty of Environment and Life ScienceBeijing University of TechnologyBeijingChina
| | - Ningqiang Gong
- Department of BioengineeringUniversity of PennsylvaniaPhiladelphiaUSA
| | - Yanwei Jia
- State‐Key Laboratory of Analog and Mixed‐Signal VLSIInstitute of MicroelectronicsUniversity of MacauMacauChina
| | - Xueyun Gao
- Department of Chemistry and BiologyFaculty of Environment and Life ScienceBeijing University of TechnologyBeijingChina
| | - Xiaojun Ren
- Department of Chemistry and BiologyFaculty of Environment and Life ScienceBeijing University of TechnologyBeijingChina
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8
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Ren AL, Wu JY, Lee SY, Lim M. Translational Models in Glioma Immunotherapy Research. Curr Oncol 2023; 30:5704-5718. [PMID: 37366911 DOI: 10.3390/curroncol30060428] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Revised: 05/24/2023] [Accepted: 06/09/2023] [Indexed: 06/28/2023] Open
Abstract
Immunotherapy is a promising therapeutic domain for the treatment of gliomas. However, clinical trials of various immunotherapeutic modalities have not yielded significant improvements in patient survival. Preclinical models for glioma research should faithfully represent clinically observed features regarding glioma behavior, mutational load, tumor interactions with stromal cells, and immunosuppressive mechanisms. In this review, we dive into the common preclinical models used in glioma immunology, discuss their advantages and disadvantages, and highlight examples of their utilization in translational research.
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Affiliation(s)
- Alexander L Ren
- School of Medicine, Stanford University, Stanford, CA 94305, USA
| | - Janet Y Wu
- School of Medicine, Stanford University, Stanford, CA 94305, USA
| | - Si Yeon Lee
- Department of Neurosurgery, Stanford University Medical Center, Stanford, CA 94304, USA
| | - Michael Lim
- Department of Neurosurgery, Stanford University Medical Center, Stanford, CA 94304, USA
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9
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Iyer K, Saini S, Bhadra S, Kulavi S, Bandyopadhyay J. Precision medicine advancements in glioblastoma: A systematic review. Biomedicine (Taipei) 2023; 13:1-13. [PMID: 37937301 PMCID: PMC10627207 DOI: 10.37796/2211-8039.1403] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 02/04/2023] [Accepted: 02/10/2023] [Indexed: 11/09/2023] Open
Abstract
Background Glioblastoma multiforme, commonly known as GBM or glioblastoma is a grade IV astrocytoma. Brain tumors are difficult to treat and lead to poor prognosis and survival in patients. Gliomas are categorized into four different grades among which GBM is the worst grade primary brain tumor with a survival of less than a year. The genomic heterogeneity of the brain tumor results in different profiles for patients diagnosed with glioblastoma. Precision medicine focuses on this specific tumor type and suggests specialized treatment for better prognosis and overall survival (OS). Purpose With the recent advancements in Genome-Wide Studies (GWS) and various characterizations of brain tumors based on genetic, transcriptomic, proteomic, epigenetic, and metabolomics, this review discusses the advancements and opportunities of precision medicine therapeutics, drugs, and diagnosis methods based on the different profiles of glioblastoma. Methods This review has exhaustively surveyed several pieces of works from various literature databases. Conclusion It is evident that most primary brain tumors including glioblastoma require specific and precision therapeutics for better prognosis and OS. In present and future, molecular understanding and discovering specific therapies are essential for treatment in the field of neurooncology.
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Affiliation(s)
| | | | | | - Sohini Kulavi
- Department of Biotechnology, Maulana Abul Kalam Azad University of Technology, NH-12 (Old NH-34) Simhat, Haringhata, Nadia, 741249, West Bengal,
India
| | - Jaya Bandyopadhyay
- Department of Biotechnology, Maulana Abul Kalam Azad University of Technology, NH-12 (Old NH-34) Simhat, Haringhata, Nadia, 741249, West Bengal,
India
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10
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Tang LW, Mallela AN, Deng H, Richardson TE, Hervey-Jumper SL, McBrayer SK, Abdullah KG. Preclinical modeling of lower-grade gliomas. Front Oncol 2023; 13:1139383. [PMID: 37051530 PMCID: PMC10083350 DOI: 10.3389/fonc.2023.1139383] [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: 01/06/2023] [Accepted: 03/16/2023] [Indexed: 03/28/2023] Open
Abstract
Models for human gliomas prove critical not only to advancing our understanding of glioma biology but also to facilitate the development of therapeutic modalities. Specifically, creating lower-grade glioma (LGG) models has been challenging, contributing to few investigations and the minimal progress in standard treatment over the past decade. In order to reliably predict and validate the efficacies of novel treatments, however, LGG models need to adhere to specific standards that recapitulate tumor genetic aberrations and micro-environment. This underscores the need to revisit existing models of LGG and explore prospective models that may bridge the gap between preclinical insights and clinical translation. This review first outlines a set of criteria aimed to address the current challenges hindering model development. We then evaluate the strengths and weaknesses of existing preclinical models of LGG with respect to these established standards. To conclude, the review discusses potential future directions for integrating existing models to maximize the exploration of disease mechanisms and therapeutics development.
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Affiliation(s)
- Lilly W. Tang
- Physician Scientist Training Program, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
- Department of Neurosurgery, University of Pittsburgh Medical Center, Pittsburgh, PA, United States
- Hillman Cancer Center, University of Pittsburgh Medical Center, Pittsburgh, PA, United States
| | - Arka N. Mallela
- Department of Neurosurgery, University of Pittsburgh Medical Center, Pittsburgh, PA, United States
| | - Hansen Deng
- Department of Neurosurgery, University of Pittsburgh Medical Center, Pittsburgh, PA, United States
| | - Timothy E. Richardson
- Department of Pathology, Cell and Molecular Based Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Shawn L. Hervey-Jumper
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, United States
| | - Samuel K. McBrayer
- Children's Medical Center Research Institute, University of Texas Southwestern Medical Center, Dallas, TX, United States
| | - Kalil G. Abdullah
- Physician Scientist Training Program, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
- Department of Neurosurgery, University of Pittsburgh Medical Center, Pittsburgh, PA, United States
- Hillman Cancer Center, University of Pittsburgh Medical Center, Pittsburgh, PA, United States
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11
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Pathogenesis Study of Glioma: From Glioma Stem Cells, Genomic Tags, to Rodent Models. Brain Sci 2022; 13:brainsci13010030. [PMID: 36672013 PMCID: PMC9856728 DOI: 10.3390/brainsci13010030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Accepted: 12/21/2022] [Indexed: 12/24/2022] Open
Abstract
Glioma remains the toughest brain tumor among all primary central nervous system (CNS) tumors [...].
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12
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Clark CC, Yoo KM, Sivakumar H, Strumpf K, Laxton AW, Tatter SB, Strowd RE, Skardal A. Immersion bioprinting of hyaluronan and collagen bioink-supported 3D patient-derived brain tumor organoids. Biomed Mater 2022; 18. [PMID: 36332268 DOI: 10.1088/1748-605x/aca05d] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Accepted: 11/04/2022] [Indexed: 11/06/2022]
Abstract
Organoids, and in particular patient-derived organoids, have emerged as crucial tools for cancer research. Our organoid platform, which has supported patient-derived tumor organoids (PTOs) from a variety of tumor types, has been based on the use of hyaluronic acid (HA) and collagen, or gelatin, hydrogel bioinks. One hurdle to high throughput PTO biofabrication is that as high-throughput multi-well plates, bioprinted volumes have increased risk of contacting the sides of wells. When this happens, surface tension causes bioinks to fall flat, resulting in 2D cultures. To address this problem, we developed an organoid immersion bioprinting method-inspired by the FRESH printing method-in which organoids are bioprinted into support baths in well plates. The bath-in this case an HA solution-shields organoids from the well walls, preventing deformation. Here we describe an improvement to our approach, based on rheological assessment of previous gelatin baths versus newer HA support baths, combined with morphological assessment of immersion bioprinted organoids. HA print baths enabled more consistent organoid volumes and geometries. We optimized the printing parameters of this approach using a cell line. Finally, we deployed our optimized immersion bioprinting approach into a drug screening application, using PTOs derived from glioma biospecimens, and a lung adenocarcinoma brain metastasis. In these studies, we showed a general dose dependent response to an experimental p53 activator compound and temozolomide (TMZ), the drug most commonly given to brain tumor patients. Responses to the p53 activator compound were effective across all PTO sets, while TMZ responses were observed, but less pronounced, potentially explained by genetic and epigenetic states of the originating tumors. The studies presented herein showcase a bioprinting methodology that we hope can be used in increased throughput settings to help automate biofabrication of PTOs for drug development-based screening studies and precision medicine applications.
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Affiliation(s)
- Casey C Clark
- Wake Forest Institute for Regenerative Medicine, Wake Forest School of Medicine, 391 Technology Way, Winston-Salem, NC 27101, United States of America.,Department of Biomedical Engineering, Wake Forest School of Medicine, 575 Patterson Avenue, Winston-Salem, NC 27101, United States of America
| | - Kyung Min Yoo
- Wake Forest Institute for Regenerative Medicine, Wake Forest School of Medicine, 391 Technology Way, Winston-Salem, NC 27101, United States of America
| | - Hemamylammal Sivakumar
- Department of Biomedical Engineering, The Ohio State University, 140 W. 19th Avenue, Columbus, OH 43210, United States of America
| | - Kristina Strumpf
- Wake Forest Institute for Regenerative Medicine, Wake Forest School of Medicine, 391 Technology Way, Winston-Salem, NC 27101, United States of America
| | - Adrian W Laxton
- Department of Neurosurgery, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC 27157, United States of America.,Wake Forest Baptist Comprehensive Cancer Center, Wake Forest Baptist Medical Center, Winston-Salem, NC 27157, United States of America
| | - Stephen B Tatter
- Department of Neurosurgery, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC 27157, United States of America.,Wake Forest Baptist Comprehensive Cancer Center, Wake Forest Baptist Medical Center, Winston-Salem, NC 27157, United States of America
| | - Roy E Strowd
- Wake Forest Baptist Comprehensive Cancer Center, Wake Forest Baptist Medical Center, Winston-Salem, NC 27157, United States of America.,Department of Neurology, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC 27157, United States of America
| | - Aleksander Skardal
- Department of Biomedical Engineering, The Ohio State University, 140 W. 19th Avenue, Columbus, OH 43210, United States of America.,The Ohio State University and Arthur G James Comprehensive Cancer Center, The Ohio State University, Columbus, OH, United States of America
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13
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Far-Red Fluorescent Murine Glioma Model for Accurate Assessment of Brain Tumor Progression. Cancers (Basel) 2022; 14:cancers14153822. [PMID: 35954485 PMCID: PMC9367351 DOI: 10.3390/cancers14153822] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Revised: 07/29/2022] [Accepted: 08/02/2022] [Indexed: 12/22/2022] Open
Abstract
Glioma is the most common brain tumor, for which no significant improvement in life expectancy and quality of life is yet possible. The creation of stable fluorescent glioma cell lines is a promising tool for in-depth studies of the molecular mechanisms of glioma initialization and pathogenesis, as well as for the development of new anti-cancer strategies. Herein, a new fluorescent glioma GL261-kat cell line stably expressing a far-red fluorescent protein (TurboFP635; Katushka) was generated and characterized, and then validated in a mouse orthotopic glioma model. By using epi-fluorescence imaging, we detect the fluorescent glioma GL261-kat cells in mice starting from day 14 after the inoculation of glioma cells, and the fluorescence signal intensity increases as the glioma progresses. Tumor growth is confirmed by magnetic resonance imaging and histology. A gradual development of neurological deficit and behavioral alterations in mice is observed during glioma progression. In conclusion, our results demonstrate the significance and feasibility of using the novel glioma GL261-kat cell line as a model of glioma biology, which can be used to study the initialization of glioma and monitor its growth by lifetime non-invasive tracking of glioma cells, with the prospect of monitoring the response to anti-cancer therapy.
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14
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Schwark K, Messinger D, Cummings JR, Bradin J, Kawakibi A, Babila CM, Lyons S, Ji S, Cartaxo RT, Kong S, Cantor E, Koschmann C, Yadav VN. Receptor tyrosine kinase (RTK) targeting in pediatric high-grade glioma and diffuse midline glioma: Pre-clinical models and precision medicine. Front Oncol 2022; 12:922928. [PMID: 35978801 PMCID: PMC9376238 DOI: 10.3389/fonc.2022.922928] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Accepted: 07/04/2022] [Indexed: 11/13/2022] Open
Abstract
Pediatric high-grade glioma (pHGG), including both diffuse midline glioma (DMG) and non-midline tumors, continues to be one of the deadliest oncologic diagnoses (both henceforth referred to as “pHGG”). Targeted therapy options aimed at key oncogenic receptor tyrosine kinase (RTK) drivers using small-molecule RTK inhibitors has been extensively studied, but the absence of proper in vivo modeling that recapitulate pHGG biology has historically been a research challenge. Thankfully, there have been many recent advances in animal modeling, including Cre-inducible transgenic models, as well as intra-uterine electroporation (IUE) models, which closely recapitulate the salient features of human pHGG tumors. Over 20% of pHGG have been found in sequencing studies to have alterations in platelet derived growth factor-alpha (PDGFRA), making growth factor modeling and inhibition via targeted tyrosine kinases a rich vein of interest. With commonly found alterations in other growth factors, including FGFR, EGFR, VEGFR as well as RET, MET, and ALK, it is necessary to model those receptors, as well. Here we review the recent advances in murine modeling and precision targeting of the most important RTKs in their clinical context. We additionally provide a review of current work in the field with several small molecule RTK inhibitors used in pre-clinical or clinical settings for treatment of pHGG.
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Affiliation(s)
- Kallen Schwark
- Department of Pediatrics, Division of Pediatric Hematology-Oncology, University of Michigan School of Medicine, Ann Arbor, MI, United States
| | - Dana Messinger
- Department of Pediatrics, Division of Pediatric Hematology-Oncology, University of Michigan School of Medicine, Ann Arbor, MI, United States
| | - Jessica R. Cummings
- Department of Pediatrics, Division of Pediatric Hematology-Oncology, University of Michigan School of Medicine, Ann Arbor, MI, United States
| | - Joshua Bradin
- Department of Pediatrics, Division of Pediatric Hematology-Oncology, University of Michigan School of Medicine, Ann Arbor, MI, United States
| | - Abed Kawakibi
- Department of Pediatrics, Division of Pediatric Hematology-Oncology, University of Michigan School of Medicine, Ann Arbor, MI, United States
| | - Clarissa M. Babila
- Department of Pediatrics, Division of Pediatric Hematology-Oncology, University of Michigan School of Medicine, Ann Arbor, MI, United States
| | - Samantha Lyons
- Department of Pediatrics, Division of Pediatric Hematology-Oncology, University of Michigan School of Medicine, Ann Arbor, MI, United States
| | - Sunjong Ji
- Department of Pediatrics, Division of Pediatric Hematology-Oncology, University of Michigan School of Medicine, Ann Arbor, MI, United States
| | - Rodrigo T. Cartaxo
- Department of Pediatrics, Division of Pediatric Hematology-Oncology, University of Michigan School of Medicine, Ann Arbor, MI, United States
| | - Seongbae Kong
- Department of Pediatrics, Division of Pediatric Hematology-Oncology, University of Michigan School of Medicine, Ann Arbor, MI, United States
| | - Evan Cantor
- Department of Pediatrics, Division of Pediatric Hematology-Oncology, University of Michigan School of Medicine, Ann Arbor, MI, United States
| | - Carl Koschmann
- Department of Pediatrics, Division of Pediatric Hematology-Oncology, University of Michigan School of Medicine, Ann Arbor, MI, United States
| | - Viveka Nand Yadav
- Department of Pediatrics, Division of Pediatric Hematology-Oncology, University of Michigan School of Medicine, Ann Arbor, MI, United States
- Department of Pediatrics, Children's Mercy Research Institute (CMRI), Kansas, MO, United States
- Department of Pediatrics, University of Missouri Kansas City School of Medicine, Kansas, MO, United States
- *Correspondence: Viveka Nand Yadav,
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15
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Yuzhakova D, Kiseleva E, Shirmanova M, Shcheslavskiy V, Sachkova D, Snopova L, Bederina E, Lukina M, Dudenkova V, Yusubalieva G, Belovezhets T, Matvienko D, Baklaushev V. Highly Invasive Fluorescent/Bioluminescent Patient-Derived Orthotopic Model of Glioblastoma in Mice. Front Oncol 2022; 12:897839. [PMID: 35912166 PMCID: PMC9326400 DOI: 10.3389/fonc.2022.897839] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Accepted: 06/16/2022] [Indexed: 11/13/2022] Open
Abstract
Development of the novel diagnostic and therapeutic approaches in neuro-oncology requires tumor models that closely reproduce the biological features of patients’ tumors. Patient-derived xenografts (PDXs) are recognized as a valuable and the most “close-to-patient” tool for preclinical studies. However, their establishment is complicated by the factors related to both the surgical material and technique of the orthotopic implantation. The aim of this work was to develop a patient-derived glioblastoma multiform (GBM) model that stably co-expresses luciferase and a far-red fluorescent protein for monitoring of tumor progression in the brain and, using this model, to validate new diagnostic methods—macroscopic fluorescence lifetime imaging (macro-FLIM) and cross-polarization optical coherence tomography (CP OCT). The established model was similar to the original patient’s GBM in terms of histological and immunohistochemical features and possessed reproducible growth in nude mice, which could be observed by both fluorescence and bioluminescence imaging. Our results demonstrated the high potential of macro-FLIM and CP OCT for intraoperative differentiation of GBM from the white matter. Thus, the dual-labeled PDX model of GBM proved to be an excellent approach for observation of tumor development by optical methods.
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Affiliation(s)
- Diana Yuzhakova
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, Nizhny Novgorod, Russia
- *Correspondence: Diana Yuzhakova, ; Vladislav Shcheslavskiy,
| | - Elena Kiseleva
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, Nizhny Novgorod, Russia
| | - Marina Shirmanova
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, Nizhny Novgorod, Russia
| | - Vladislav Shcheslavskiy
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, Nizhny Novgorod, Russia
- R&D Department, Becker&Hickl GmbH, Berlin, Germany
- *Correspondence: Diana Yuzhakova, ; Vladislav Shcheslavskiy,
| | - Daria Sachkova
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, Nizhny Novgorod, Russia
- Institute of Biology and Biomedicine, Lobachevsky State University of Nizhny Novgorod, Nizhny Novgorod, Russia
| | - Ludmila Snopova
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, Nizhny Novgorod, Russia
| | - Evgeniya Bederina
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, Nizhny Novgorod, Russia
| | - Maria Lukina
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, Nizhny Novgorod, Russia
- Laboratory of Molecular Oncology, Federal Research and Clinical Center of Physical and Chemical Medicine, Moscow, Russia
| | - Varvara Dudenkova
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, Nizhny Novgorod, Russia
| | - Gaukhar Yusubalieva
- Biomedical Research Center, Federal Research and Clinical Center, Federal Medical and Biological Agency, Moscow, Russia
- Laboratory of Molecular Mechanisms of Regeneration and Aging, Engelhardt Institute of Molecular Biology, Moscow, Russia
| | - Tatyana Belovezhets
- Department of Molecular Immunology, Institute of Molecular and Cellular Biology SB RAS, Novosibirsk, Russia
| | - Daria Matvienko
- Department of Molecular Immunology, Institute of Molecular and Cellular Biology SB RAS, Novosibirsk, Russia
| | - Vladimir Baklaushev
- Biomedical Research Center, Federal Research and Clinical Center, Federal Medical and Biological Agency, Moscow, Russia
- Laboratory of Molecular Mechanisms of Regeneration and Aging, Engelhardt Institute of Molecular Biology, Moscow, Russia
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16
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Antonica F, Aiello G, Soldano A, Abballe L, Miele E, Tiberi L. Modeling Brain Tumors: A Perspective Overview of in vivo and Organoid Models. Front Mol Neurosci 2022; 15:818696. [PMID: 35706426 PMCID: PMC9190727 DOI: 10.3389/fnmol.2022.818696] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Accepted: 03/23/2022] [Indexed: 11/17/2022] Open
Abstract
Brain tumors are a large and heterogeneous group of neoplasms that affect the central nervous system and include some of the deadliest cancers. Almost all the conventional and new treatments fail to hinder tumoral growth of the most malignant brain tumors. This is due to multiple factors, such as intra-tumor heterogeneity, the microenvironmental properties of the human brain, and the lack of reliable models to test new therapies. Therefore, creating faithful models for each tumor and discovering tailored treatments pose great challenges in the fight against brain cancer. Over the years, different types of models have been generated, and, in this review, we investigated the advantages and disadvantages of the models currently used.
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Affiliation(s)
- Francesco Antonica
- Armenise-Harvard Laboratory of Brain Disorders and Cancer, Department of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, Trento, Italy
| | - Giuseppe Aiello
- Armenise-Harvard Laboratory of Brain Disorders and Cancer, Department of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, Trento, Italy
| | - Alessia Soldano
- Laboratory of Translational Genomics, Department of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, Trento, Italy
| | - Luana Abballe
- Department of Pediatric Hematology/Oncology and Cellular and Gene Therapy, Bambino Gesù Children’s Hospital, Scientific Institute for Research, Hospitalization and Healthcare (IRCCS), Rome, Italy
| | - Evelina Miele
- Department of Pediatric Hematology/Oncology and Cellular and Gene Therapy, Bambino Gesù Children’s Hospital, Scientific Institute for Research, Hospitalization and Healthcare (IRCCS), Rome, Italy
| | - Luca Tiberi
- Armenise-Harvard Laboratory of Brain Disorders and Cancer, Department of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, Trento, Italy
- *Correspondence: Luca Tiberi,
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17
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Abdullah KG, Bird CE, Buehler JD, Gattie LC, Savani MR, Sternisha AC, Xiao Y, Levitt MM, Hicks WH, Li W, Ramirez DMO, Patel T, Garzon-Muvdi T, Barnett S, Zhang G, Ashley DM, Hatanpaa KJ, Richardson TE, McBrayer SK. Establishment of patient-derived organoid models of lower-grade glioma. Neuro Oncol 2022; 24:612-623. [PMID: 34850183 PMCID: PMC8972292 DOI: 10.1093/neuonc/noab273] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND Historically, creating patient-derived models of lower-grade glioma (LGG) has been challenging, contributing to few experimental platforms that support laboratory-based investigations of this disease. Although organoid modeling approaches have recently been employed to create in vitro models of high-grade glioma (HGG), it is unknown whether this approach can be successfully applied to LGG. METHODS In this study, we developed an optimized protocol for the establishment of organoids from LGG primary tissue samples by utilizing physiologic (5%) oxygenation conditions and employed it to produce the first known suite of these models. To assess their fidelity, we surveyed key biological features of patient-derived organoids using metabolic, genomic, histologic, and lineage marker gene expression assays. RESULTS Organoid models were created with a success rate of 91% (n = 20/22) from primary tumor samples across glioma histological subtypes and tumor grades (WHO Grades 1-4), and a success rate of 87% (13/15) for WHO Grade 1-3 tumors. Patient-derived organoids recapitulated stemness, proliferative, and tumor-stromal composition profiles of their respective parental tumor specimens. Cytoarchitectural, mutational, and metabolic traits of parental tumors were also conserved. Importantly, LGG organoids were maintained in vitro for weeks to months and reanimated after biobanking without loss of integrity. CONCLUSIONS We report an efficient method for producing faithful in vitro models of LGG. New experimental platforms generated through this approach are well positioned to support preclinical studies of this disease, particularly those related to tumor immunology, tumor-stroma interactions, identification of novel drug targets, and personalized assessments of treatment response profiles.
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Affiliation(s)
- Kalil G Abdullah
- Department of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas, Texas, USA
- O’Donnell Brain Institute, University of Texas Southwestern Medical Center, Dallas, Texas,USA
- Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, Texas,USA
| | - Cylaina E Bird
- Department of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Joseph D Buehler
- Department of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Lauren C Gattie
- Department of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Milan R Savani
- Children’s Medical Center Research Institute, University of Texas Southwestern Medical Center, Dallas, Texas,USA
| | - Alex C Sternisha
- Children’s Medical Center Research Institute, University of Texas Southwestern Medical Center, Dallas, Texas,USA
| | - Yi Xiao
- Children’s Medical Center Research Institute, University of Texas Southwestern Medical Center, Dallas, Texas,USA
| | - Michael M Levitt
- Children’s Medical Center Research Institute, University of Texas Southwestern Medical Center, Dallas, Texas,USA
| | - William H Hicks
- Department of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Wenhao Li
- O’Donnell Brain Institute, University of Texas Southwestern Medical Center, Dallas, Texas,USA
- Department of Neurology, University of Texas Southwestern Medical Center, Dallas, Texas,USA
| | - Denise M O Ramirez
- O’Donnell Brain Institute, University of Texas Southwestern Medical Center, Dallas, Texas,USA
- Department of Neurology, University of Texas Southwestern Medical Center, Dallas, Texas,USA
| | - Toral Patel
- Department of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas, Texas, USA
- O’Donnell Brain Institute, University of Texas Southwestern Medical Center, Dallas, Texas,USA
- Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, Texas,USA
| | - Tomas Garzon-Muvdi
- Department of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas, Texas, USA
- O’Donnell Brain Institute, University of Texas Southwestern Medical Center, Dallas, Texas,USA
- Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, Texas,USA
| | - Samuel Barnett
- Department of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas, Texas, USA
- O’Donnell Brain Institute, University of Texas Southwestern Medical Center, Dallas, Texas,USA
- Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, Texas,USA
| | - Gao Zhang
- Duke University School of Medicine, Duke University, Durham, North Carolina,USA
| | - David M Ashley
- Duke University School of Medicine, Duke University, Durham, North Carolina,USA
| | - Kimmo J Hatanpaa
- Department of Pathology, Division of Neuropathology, University of Texas Southwestern Medical Center, Dallas, Texas,USA
| | - Timothy E Richardson
- Department of Pathology and Laboratory Medicine and The Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases, University of Texas Health Science Center at San Antonio, San Antonio, Texas,USA
| | - Samuel K McBrayer
- Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, Texas,USA
- Children’s Medical Center Research Institute, University of Texas Southwestern Medical Center, Dallas, Texas,USA
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18
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Hicks WH, Bird CE, Gattie LC, Shami ME, Traylor JI, Shi DD, McBrayer SK, Abdullah KG. Creation and Development of Patient-Derived Organoids for Therapeutic Screening in Solid Cancer. CURRENT STEM CELL REPORTS 2022. [DOI: 10.1007/s40778-022-00211-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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19
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Vasileva N, Ageenko A, Dmitrieva M, Nushtaeva A, Mishinov S, Kochneva G, Richter V, Kuligina E. Double Recombinant Vaccinia Virus: A Candidate Drug against Human Glioblastoma. Life (Basel) 2021; 11:life11101084. [PMID: 34685455 PMCID: PMC8538059 DOI: 10.3390/life11101084] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Revised: 10/07/2021] [Accepted: 10/12/2021] [Indexed: 11/26/2022] Open
Abstract
Glioblastoma is one of the most aggressive brain tumors. Given the poor prognosis of this disease, novel methods for glioblastoma treatment are needed. Virotherapy is one of the most actively developed approaches for cancer therapy today. VV-GMCSF-Lact is a recombinant vaccinia virus with deletions of the viral thymidine kinase and growth factor genes and insertions of the granulocyte–macrophage colony-stimulating factor and oncotoxic protein lactaptin genes. The virus has high cytotoxic activity against human cancer cells of various histogenesis and antitumor efficacy against breast cancer. In this work, we show VV-GMCSF-Lact to be a promising therapeutic agent for glioblastoma treatment. VV-GMCSF-Lact effectively decreases the viability of glioblastoma cells of both immortalized and patient-derived cultures in vitro, crosses the blood–brain barrier, selectively replicates into orthotopically transplanted human glioblastoma when intravenously injected, and inhibits glioblastoma xenograft and metastasis growth when injected intratumorally.
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Affiliation(s)
- Natalia Vasileva
- Institute of Chemical Biology and Fundamental Medicine, Siberian Branch of the Russian Academy of Sciences, Akad. Lavrentiev Ave. 8, 630090 Novosibirsk, Russia; (A.A.); (M.D.); (A.N.); (V.R.); (E.K.)
- LLC “Oncostar”, R&D Department, Ingenernaya Street 23, 630090 Novosibirsk, Russia
- Correspondence: ; Tel.: +7-(913)-949-6585
| | - Alisa Ageenko
- Institute of Chemical Biology and Fundamental Medicine, Siberian Branch of the Russian Academy of Sciences, Akad. Lavrentiev Ave. 8, 630090 Novosibirsk, Russia; (A.A.); (M.D.); (A.N.); (V.R.); (E.K.)
| | - Maria Dmitrieva
- Institute of Chemical Biology and Fundamental Medicine, Siberian Branch of the Russian Academy of Sciences, Akad. Lavrentiev Ave. 8, 630090 Novosibirsk, Russia; (A.A.); (M.D.); (A.N.); (V.R.); (E.K.)
| | - Anna Nushtaeva
- Institute of Chemical Biology and Fundamental Medicine, Siberian Branch of the Russian Academy of Sciences, Akad. Lavrentiev Ave. 8, 630090 Novosibirsk, Russia; (A.A.); (M.D.); (A.N.); (V.R.); (E.K.)
| | - Sergey Mishinov
- Novosibirsk Research Institute of Traumatology and Orthopedics n.a. Ya.L. Tsivyan, Department of Neurosurgery, Frunze Street 17, 630091 Novosibirsk, Russia;
| | - Galina Kochneva
- The State Research Center of Virology and Biotechnology “VECTOR”, Department of Molecular Virology of Flaviviruses and Viral Hepatitis, Novosibirsk Region, 630559 Koltsovo, Russia;
| | - Vladimir Richter
- Institute of Chemical Biology and Fundamental Medicine, Siberian Branch of the Russian Academy of Sciences, Akad. Lavrentiev Ave. 8, 630090 Novosibirsk, Russia; (A.A.); (M.D.); (A.N.); (V.R.); (E.K.)
| | - Elena Kuligina
- Institute of Chemical Biology and Fundamental Medicine, Siberian Branch of the Russian Academy of Sciences, Akad. Lavrentiev Ave. 8, 630090 Novosibirsk, Russia; (A.A.); (M.D.); (A.N.); (V.R.); (E.K.)
- LLC “Oncostar”, R&D Department, Ingenernaya Street 23, 630090 Novosibirsk, Russia
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20
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Darrigues E, Zhao EH, De Loose A, Lee MP, Borrelli MJ, Eoff RL, Galileo DS, Penthala NR, Crooks PA, Rodriguez A. Biobanked Glioblastoma Patient-Derived Organoids as a Precision Medicine Model to Study Inhibition of Invasion. Int J Mol Sci 2021; 22:ijms221910720. [PMID: 34639060 PMCID: PMC8509225 DOI: 10.3390/ijms221910720] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Revised: 09/25/2021] [Accepted: 09/26/2021] [Indexed: 12/11/2022] Open
Abstract
Glioblastoma (GBM) is highly resistant to treatment and invasion into the surrounding brain is a cancer hallmark that leads to recurrence despite surgical resection. With the emergence of precision medicine, patient-derived 3D systems are considered potentially robust GBM preclinical models. In this study, we screened a library of 22 anti-invasive compounds (i.e., NF-kB, GSK-3-B, COX-2, and tubulin inhibitors) using glioblastoma U-251 MG cell spheroids. We evaluated toxicity and invasion inhibition using a 3D Matrigel invasion assay. We next selected three compounds that inhibited invasion and screened them in patient-derived glioblastoma organoids (GBOs). We developed a platform using available macros for FIJI/ImageJ to quantify invasion from the outer margin of organoids. Our data demonstrated that a high-throughput invasion screening can be done using both an established cell line and patient-derived 3D model systems. Tubulin inhibitor compounds had the best efficacy with U-251 MG cells, however, in ex vivo patient organoids the results were highly variable. Our results indicate that the efficacy of compounds is highly related to patient intra and inter-tumor heterogeneity. These results indicate that such models can be used to evaluate personal oncology therapeutic strategies.
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Affiliation(s)
- Emilie Darrigues
- Department of Neurosurgery, Winthrop P. Rockefeller Cancer Institute, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA; (E.D.); (E.H.Z.); (A.D.L.); (M.P.L.)
| | - Edward H. Zhao
- Department of Neurosurgery, Winthrop P. Rockefeller Cancer Institute, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA; (E.D.); (E.H.Z.); (A.D.L.); (M.P.L.)
| | - Annick De Loose
- Department of Neurosurgery, Winthrop P. Rockefeller Cancer Institute, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA; (E.D.); (E.H.Z.); (A.D.L.); (M.P.L.)
| | - Madison P. Lee
- Department of Neurosurgery, Winthrop P. Rockefeller Cancer Institute, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA; (E.D.); (E.H.Z.); (A.D.L.); (M.P.L.)
| | - Michael J. Borrelli
- Department of Radiology, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA;
| | - Robert L. Eoff
- Department of Biochemistry and Molecular Biology, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA;
| | - Deni S. Galileo
- Department of Biological Sciences, University of Delaware, Newark, DE 19716, USA;
| | - Narsimha R. Penthala
- Department of Pharmaceutical Sciences, College of Pharmacy, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA; (N.R.P.); (P.A.C.)
| | - Peter A. Crooks
- Department of Pharmaceutical Sciences, College of Pharmacy, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA; (N.R.P.); (P.A.C.)
| | - Analiz Rodriguez
- Department of Neurosurgery, Winthrop P. Rockefeller Cancer Institute, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA; (E.D.); (E.H.Z.); (A.D.L.); (M.P.L.)
- Correspondence:
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