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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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Fernández-Rodicio S, Ferro-Costas G, Sampedro-Viana A, Bazarra-Barreiros M, Ferreirós A, López-Arias E, Pérez-Mato M, Ouro A, Pumar JM, Mosqueira AJ, Alonso-Alonso ML, Castillo J, Hervella P, Iglesias-Rey R. Perfusion-weighted software written in Python for DSC-MRI analysis. Front Neuroinform 2023; 17:1202156. [PMID: 37593674 PMCID: PMC10431979 DOI: 10.3389/fninf.2023.1202156] [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: 04/07/2023] [Accepted: 06/27/2023] [Indexed: 08/19/2023] Open
Abstract
Introduction Dynamic susceptibility-weighted contrast-enhanced (DSC) perfusion studies in magnetic resonance imaging (MRI) provide valuable data for studying vascular cerebral pathophysiology in different rodent models of brain diseases (stroke, tumor grading, and neurodegenerative models). The extraction of these hemodynamic parameters via DSC-MRI is based on tracer kinetic modeling, which can be solved using deconvolution-based methods, among others. Most of the post-processing software used in preclinical studies is home-built and custom-designed. Its use being, in most cases, limited to the institution responsible for the development. In this study, we designed a tool that performs the hemodynamic quantification process quickly and in a reliable way for research purposes. Methods The DSC-MRI quantification tool, developed as a Python project, performs the basic mathematical steps to generate the parametric maps: cerebral blood flow (CBF), cerebral blood volume (CBV), mean transit time (MTT), signal recovery (SR), and percentage signal recovery (PSR). For the validation process, a data set composed of MRI rat brain scans was evaluated: i) healthy animals, ii) temporal blood-brain barrier (BBB) dysfunction, iii) cerebral chronic hypoperfusion (CCH), iv) ischemic stroke, and v) glioblastoma multiforme (GBM) models. The resulting perfusion parameters were then compared with data retrieved from the literature. Results A total of 30 animals were evaluated with our DSC-MRI quantification tool. In all the models, the hemodynamic parameters reported from the literature are reproduced and they are in the same range as our results. The Bland-Altman plot used to describe the agreement between our perfusion quantitative analyses and literature data regarding healthy rats, stroke, and GBM models, determined that the agreement for CBV and MTT is higher than for CBF. Conclusion An open-source, Python-based DSC post-processing software package that performs key quantitative perfusion parameters has been developed. Regarding the different animal models used, the results obtained are consistent and in good agreement with the physiological patterns and values reported in the literature. Our development has been built in a modular framework to allow code customization or the addition of alternative algorithms not yet implemented.
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Affiliation(s)
- Sabela Fernández-Rodicio
- Neuroimaging and Biotechnology Laboratory (NOBEL), Clinical Neurosciences Research Laboratory (LINC), Health Research Institute of Santiago de Compostela (IDIS), Santiago de Compostela, Spain
| | | | - Ana Sampedro-Viana
- Neuroimaging and Biotechnology Laboratory (NOBEL), Clinical Neurosciences Research Laboratory (LINC), Health Research Institute of Santiago de Compostela (IDIS), Santiago de Compostela, Spain
| | - Marcos Bazarra-Barreiros
- Neuroimaging and Biotechnology Laboratory (NOBEL), Clinical Neurosciences Research Laboratory (LINC), Health Research Institute of Santiago de Compostela (IDIS), Santiago de Compostela, Spain
| | | | - Esteban López-Arias
- Translational Stroke Laboratory (TREAT), Clinical Neurosciences Research Laboratory (LINC), Health Research Institute of Santiago de Compostela (IDIS), Santiago de Compostela, Spain
| | - María Pérez-Mato
- Neurological Sciences and Cerebrovascular Research Laboratory, Department of Neurology and Stroke Center, La Paz University Hospital, Neuroscience Area of IdiPAZ Health Research Institute, Universidad Autónoma de Madrid, Madrid, Spain
| | - Alberto Ouro
- NeuroAging Group (NEURAL), Clinical Neurosciences Research Laboratory (LINC), Health Research Institute of Santiago de Compostela (IDIS), Santiago de Compostela, Spain
- Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
| | - José M. Pumar
- Neuroimaging and Biotechnology Laboratory (NOBEL), Clinical Neurosciences Research Laboratory (LINC), Health Research Institute of Santiago de Compostela (IDIS), Santiago de Compostela, Spain
- Department of Neuroradiology, Hospital Clínico Universitario, Health Research Institute of Santiago de Compostela (IDIS), Santiago de Compostela, Spain
| | - Antonio J. Mosqueira
- Neuroimaging and Biotechnology Laboratory (NOBEL), Clinical Neurosciences Research Laboratory (LINC), Health Research Institute of Santiago de Compostela (IDIS), Santiago de Compostela, Spain
- Department of Neuroradiology, Hospital Clínico Universitario, Health Research Institute of Santiago de Compostela (IDIS), Santiago de Compostela, Spain
| | - María Luz Alonso-Alonso
- Neuroimaging and Biotechnology Laboratory (NOBEL), Clinical Neurosciences Research Laboratory (LINC), Health Research Institute of Santiago de Compostela (IDIS), Santiago de Compostela, Spain
| | - José Castillo
- Neuroimaging and Biotechnology Laboratory (NOBEL), Clinical Neurosciences Research Laboratory (LINC), Health Research Institute of Santiago de Compostela (IDIS), Santiago de Compostela, Spain
| | - Pablo Hervella
- Neuroimaging and Biotechnology Laboratory (NOBEL), Clinical Neurosciences Research Laboratory (LINC), Health Research Institute of Santiago de Compostela (IDIS), Santiago de Compostela, Spain
| | - Ramón Iglesias-Rey
- Neuroimaging and Biotechnology Laboratory (NOBEL), Clinical Neurosciences Research Laboratory (LINC), Health Research Institute of Santiago de Compostela (IDIS), Santiago de Compostela, Spain
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3
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Abstract
In 2001, the concept of the neurovascular unit was introduced at the Stroke Progress Review Group meeting. The neurovascular unit is an important element of the health and disease status of blood vessels and nerves in the central nervous system. Since then, the neurovascular unit has attracted increasing interest from research teams, who have contributed greatly to the prevention, treatment, and prognosis of stroke and neurodegenerative diseases. However, additional research is needed to establish an efficient, low-cost, and low-energy in vitro model of the neurovascular unit, as well as enable noninvasive observation of neurovascular units in vivo and in vitro. In this review, we first summarize the composition of neurovascular units, then investigate the efficacy of different types of stem cells and cell culture methods in the construction of neurovascular unit models, and finally assess the progress of imaging methods used to observe neurovascular units in recent years and their positive role in the monitoring and investigation of the mechanisms of a variety of central nervous system diseases.
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Affiliation(s)
- Taiwei Dong
- College of Pharmacy, Shaanxi University of Chinese Medicine, Xianyang, Shaanxi Province, China
| | - Min Li
- College of Pharmacy, Shaanxi University of Chinese Medicine, Xianyang, Shaanxi Province, China
| | - Feng Gao
- College of Pharmacy, Shaanxi University of Chinese Medicine, Xianyang, Shaanxi Province, China
| | - Peifeng Wei
- College of Pharmacy, Shaanxi University of Chinese Medicine, Xianyang, Shaanxi Province, China
| | - Jian Wang
- College of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Provinve, China
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Andleeb F, Katta N, Gruslova A, Muralidharan B, Estrada A, McElroy AB, Ullah H, Brenner AJ, Milner TE. Differentiation of Brain Tumor Microvasculature From Normal Vessels Using Optical Coherence Angiography. Lasers Surg Med 2021; 53:1386-1394. [PMID: 34130353 DOI: 10.1002/lsm.23446] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2020] [Revised: 05/23/2021] [Accepted: 05/27/2021] [Indexed: 02/02/2023]
Abstract
BACKGROUND AND OBJECTIVES Despite rapid advances and discoveries in medical imaging, monitoring therapeutic efficacy for malignant gliomas and monitoring tumor vasculature remains problematic. The purpose of this study is to utilize optical coherence angiography for vasculature characterization inside and surrounding brain tumors in a murine xenograft brain tumor model. Features included in our analysis include fractional blood volume, vessel tortuosity, diameter, orientation, and directionality. STUDY DESIGN/MATERIALS AND METHODS In this study, five tumorous mice models at 4 weeks of age were imaged. Human glioblastoma cells were injected into the brain and allowed to grow for 4 weeks and then imaged using optical coherence tomography. RESULTS Results suggest that blood vessels outside the tumor contain a greater fractional blood volume as compared with vessels inside the tumor. Vessels inside the tumor are more tortuous as compared with those outside the tumor. Results indicate that vessels near the tumor margin are directed inward towards the tumor while normal vessels show a more random orientation. CONCLUSION Quantification of vascular microenvironments in brain gliomas can provide functional vascular parameters to aid various diagnostic and therapeutic studies. © 2021 Wiley Periodicals LLC.
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Affiliation(s)
- Farah Andleeb
- Department of Biomedical Engineering, The University of Texas Austin, Austin, Texas, 78712, USA.,Biophotonics Research Lab, Institute of Physics, The Islamia University, Bahawalpur, Bahawalpur, Punjab, 63100, Pakistan.,Department of Physics, Government Sadiq College Women University Bahawalpur, Bahwalpur, Punjab, 63100, Pakistan
| | - Nitesh Katta
- Department of Biomedical Engineering, The University of Texas Austin, Austin, Texas, 78712, USA
| | - Aleksandra Gruslova
- University of Texas Health Science Center at San Antonio, San Antonio, Texas, 78229, USA
| | - Bharadwaj Muralidharan
- Department of Biomedical Engineering, The University of Texas Austin, Austin, Texas, 78712, USA
| | - Arnold Estrada
- Department of Biomedical Engineering, The University of Texas Austin, Austin, Texas, 78712, USA
| | - Austin B McElroy
- Department of Biomedical Engineering, The University of Texas Austin, Austin, Texas, 78712, USA
| | - Hafeez Ullah
- Biophotonics Research Lab, Institute of Physics, The Islamia University, Bahawalpur, Bahawalpur, Punjab, 63100, Pakistan
| | - Andrew J Brenner
- University of Texas Health Science Center at San Antonio, San Antonio, Texas, 78229, USA
| | - Thomas E Milner
- Department of Biomedical Engineering, The University of Texas Austin, Austin, Texas, 78712, USA
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Fuselier C, Quemener S, Dufay E, Bour C, Boulagnon-Rombi C, Bouland N, Djermoune EH, Devy J, Martiny L, Schneider C. Anti-Tumoral and Anti-Angiogenic Effects of Low-Diluted Phenacetinum on Melanoma. Front Oncol 2021; 11:597503. [PMID: 33747916 PMCID: PMC7966719 DOI: 10.3389/fonc.2021.597503] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2020] [Accepted: 01/07/2021] [Indexed: 01/11/2023] Open
Abstract
Melanoma is the most aggressive form of skin cancer and the most rapidly expanding cancer in terms of worldwide incidence. If primary cutaneous melanoma is mostly treated with a curative wide local excision, malignant melanoma has a poor prognosis and needs other therapeutic approaches. Angiogenesis is a normal physiological process essential in growth and development, but it also plays a crucial role in crossing from benign to advanced state in cancer. In melanoma progression, angiogenesis is widely involved during the vertical growth phase. Currently, no anti-angiogenic agents are efficient on their own, and combination of treatments will probably be the key to success. In the past, phenacetin was used as an analgesic to relieve pain, causing side effects at large dose and tumor-inducing in humans and animals. By contrast, Phenacetinum low-dilution is often used in skin febrile exanthema, patches profusely scattered on limbs, headache, or flushed face without side effects. Herein are described the in vitro, in vivo, and ex vivo anti-angiogenic and anti-tumoral potentials of Phenacetinum low-dilution in a B16F1 tumor model and endothelial cells. We demonstrate that low-diluted Phenacetinum inhibits in vivo tumor growth and tumor vascularization and thus increases the survival time of B16F1 melanoma induced-C57BL/6 mice. Moreover, Phenacetinum modulates the lung metastasis in a B16F10 induced model. Ex vivo and in vitro, we evidence that low-diluted Phenacetinum inhibits the migration and the recruitment of endothelial cells and leads to an imbalance in the pro-tumoral macrophages and to a structural malformation of the vascular network. All together these results demonstrate highly hopeful anti-tumoral, anti-metastatic, and anti-angiogenic effects of Phenacetinum low-dilution on melanoma. Continued studies are needed to preclinically validate Phenacetinum low-dilution as a complementary or therapeutic strategy for melanoma treatment.
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Affiliation(s)
- Camille Fuselier
- Université de Reims-Champagne-Ardenne, CNRS UMR 7369 (Matrice Extracellulaire et Dynamique Cellulaire, MEDyC), Reims, France
| | - Sandrine Quemener
- Université de Lille, Institut Pasteur de Lille, U1011 INSERM, Lille, France
| | - Eleonore Dufay
- Université de Reims-Champagne-Ardenne, CNRS UMR 7369 (Matrice Extracellulaire et Dynamique Cellulaire, MEDyC), Reims, France
| | - Camille Bour
- Université de Reims-Champagne-Ardenne, CNRS UMR 7369 (Matrice Extracellulaire et Dynamique Cellulaire, MEDyC), Reims, France
| | - Camille Boulagnon-Rombi
- Université de Reims-Champagne-Ardenne, CNRS UMR 7369 (Matrice Extracellulaire et Dynamique Cellulaire, MEDyC), Reims, France
- Centre Hospitalier et Université de Reims Champagne-Ardenne, laboratoire de Biopathologie, Reims, France
| | - Nicole Bouland
- Université de Reims Champagne-Ardenne, laboratoire d’Anatomie Pathologie, Reims, France
| | | | - Jérôme Devy
- Université de Reims-Champagne-Ardenne, CNRS UMR 7369 (Matrice Extracellulaire et Dynamique Cellulaire, MEDyC), Reims, France
| | - Laurent Martiny
- Université de Reims-Champagne-Ardenne, CNRS UMR 7369 (Matrice Extracellulaire et Dynamique Cellulaire, MEDyC), Reims, France
| | - Christophe Schneider
- Université de Reims-Champagne-Ardenne, CNRS UMR 7369 (Matrice Extracellulaire et Dynamique Cellulaire, MEDyC), Reims, France
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Li X, Wang X, Xie J, Liang B, Wu J. Suppression of Angiotensin-(1-7) on the Disruption of Blood-Brain Barrier in Rat of Brain Glioma. Pathol Oncol Res 2018; 25:429-435. [PMID: 30229380 DOI: 10.1007/s12253-018-0471-z] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2018] [Accepted: 09/13/2018] [Indexed: 01/03/2023]
Abstract
Glioblastoma multiforme (GBM) is the most primary brain tumor, specially characterized with the damage of blood-brain barrier (BBB). The Ang-(1-7) was proven to have an inhibitory effect on glioblastoma growth. However, its role on blood-brain barrier (BBB) and the underlying molecular mechanism remains unclear. In this study, Ang-(1-7) significantly relieved the damage of blood-brain barrier in rats with intracranial U87 gliomas as evaluated by magnetic resonance imaging (MRI). Furthermore, its treatment attenuated BBB permeability, tumor growth and edema formation. Similarly, Ang-(1-7) also decreased U87 glioma cells barrier permeability in vitro. Further analysis showed that Ang-(1-7) could effectively restore tight junction protein (claudin-5 and ZO-1) expression levels both in rats and U87 glioma cells by affecting the activation of JNK pathway. SP600125, an inhibitor of JNK, significantly enhanced the expression of Claudin-5 and ZO-1, and decreased the disruption of BBB and enhanced the efficiency of Ang-(1-7) in glioma rats. Taken together, this study demonstrated a protective role of Ang-(1-7) in glioma-induced blood-brain barrier damage by regulating tight junction protein expression. Accordingly, Ang-(1-7) may become a promising therapeutic agent against glioma.
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Affiliation(s)
- Xiaohui Li
- Department of Neurosurgery, The Fifth Affiliated Hospital of Zhengzhou University, No.3 Kangfuqian Street, Erqi District, Zhengzhou, 450052, China
| | - Xinjun Wang
- Department of Neurosurgery, The Fifth Affiliated Hospital of Zhengzhou University, No.3 Kangfuqian Street, Erqi District, Zhengzhou, 450052, China.
| | - Jingwei Xie
- Department of Neurosurgery, The Fifth Affiliated Hospital of Zhengzhou University, No.3 Kangfuqian Street, Erqi District, Zhengzhou, 450052, China
| | - Bo Liang
- Department of Neurosurgery, The Fifth Affiliated Hospital of Zhengzhou University, No.3 Kangfuqian Street, Erqi District, Zhengzhou, 450052, China
| | - Jianheng Wu
- Department of Neurosurgery, The Fifth Affiliated Hospital of Zhengzhou University, No.3 Kangfuqian Street, Erqi District, Zhengzhou, 450052, China
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Souza TKF, Nucci MP, Mamani JB, da Silva HR, Fantacini DMC, de Souza LEB, Picanço-Castro V, Covas DT, Vidoto EL, Tannús A, Gamarra LF. Image and motor behavior for monitoring tumor growth in C6 glioma model. PLoS One 2018; 13:e0201453. [PMID: 30048545 PMCID: PMC6062126 DOI: 10.1371/journal.pone.0201453] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2017] [Accepted: 07/15/2018] [Indexed: 12/17/2022] Open
Abstract
The primary objective of this study is to monitor tumor growth by using image techniques and behavioral testing through general and specific motor activities (spontaneous movements and gait). Our sample includes male Wistar rats, 2 months old and weighing 250-300 g, that is categorized into three groups: control, sham, and experimental. The experimental group was anesthetized; the C6 cells with luciferase expression that were suspended in a culture medium were implanted into the right frontoparietal cortex of the rats. The sham group received implant only with culture medium without cells. Images and behavioral tests were evaluated at base time and at 7, 14, 21, and 28 days after induced tumor growth analysis. The tumor volume measured by magnetic resonance imaging (MRI) and quantitative bioluminescence imaging (BLI) signal showed a correlation coefficient of r = 0.96. The MRI showed that the mean tumor volume increased by approximately 10, 26, and 49 times according to a comparison of tumor volume on the seventh day with 14, 21, and 28 days, respectively. The quantification of the BLI signal was (4.12 ± 2.01) x 10(8), (8.33 ± 3.12) x 10(8), (28.43 ± 6.32) x 10(8), and (63.02 ± 10.53) x 10(8) photons/s at the seventh, fourteenth, twenty-first, and twenty-eighth day, respectively. After 14 days of tumor induction, both behavioral tests showed significant differences between tumor and sham or control groups. Our study showed a high correlation between MRI and BLI for tumor growth monitoring with complement aspects analysis in tumor volume. In addition, functional behavioral analysis displayed sensitivity to monitor tumor growth, as well as to detect early significant changes between groups, primarily in the tumor group. The results of gait analysis were more sensitive than general motor analysis.
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Affiliation(s)
| | | | | | | | | | | | - Virginia Picanço-Castro
- Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, SP, Brazil
| | - Dimas Tadeu Covas
- Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, SP, Brazil
| | - Edson Luis Vidoto
- CIERMag-Instituto de Física de São Carlos, Universidade de São Paulo, São Paulo, Brazil
| | - Alberto Tannús
- CIERMag-Instituto de Física de São Carlos, Universidade de São Paulo, São Paulo, Brazil
| | - Lionel Fernel Gamarra
- Hospital Israelita Albert Einstein, São Paulo, SP, Brazil
- Santa Casa Misericórdia de São Paulo, São Paulo, Brazil
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8
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Giakoumettis D, Kritis A, Foroglou N. C6 cell line: the gold standard in glioma research. Hippokratia 2018; 22:105-112. [PMID: 31641331 PMCID: PMC6801124] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
BACKGROUND Glioblastoma multiforme is the most aggressive brain tumor with poor prognosis and an average survival of 1-2 years. Animal models that simulate the features of human glioma are the key to newer agents or therapeutic strategies. In order to establish such models, the C6 glioma cell line has been mostly used in neuro-oncology research. METHODS In this narrative review, we systematically reviewed the international literature in order to retrieve and present the most important biological and molecular features of C6 cell line. RESULTS Even though many cell lines have been developed, each cell line presents with slight differences from human glioma behavior. C6 cancer cell line is a rat glioma cell line, which can simulate in overall the high growth rate, the high vascularization, and the highly infiltrative character of glioblastoma multiforme. CONCLUSIONS Most of the C6 glioma research has been focused on testing a wide diversity of agents for their tumoricidal activity. C6 cell line is considered to be a safe and popular glioma model in the literature, providing a good simulation of glioblastoma multiforme. HIPPOKRATIA 2018, 22(3): 105-112.
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Affiliation(s)
- D Giakoumettis
- First Department of Neurosurgery, University of Athens Medical School, "Evangelismos" General Hospital, Athens
- First Department of Neurosurgery, AHEPA University Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - A Kritis
- Laboratory of Physiology, Faculty of Medicine, School of Health Sciences
- cGMP Regenerative Medicine facility, Department of Physiology and Pharmacology, Faculty of Medicine, School of Health Sciences
| | - N Foroglou
- First Department of Neurosurgery, AHEPA University Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece
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Guarnaccia L, Navone SE, Trombetta E, Cordiglieri C, Cherubini A, Crisà FM, Rampini P, Miozzo M, Fontana L, Caroli M, Locatelli M, Riboni L, Campanella R, Marfia G. Angiogenesis in human brain tumors: screening of drug response through a patient-specific cell platform for personalized therapy. Sci Rep 2018; 8:8748. [PMID: 29884885 PMCID: PMC5993734 DOI: 10.1038/s41598-018-27116-7] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2017] [Accepted: 05/24/2018] [Indexed: 12/11/2022] Open
Abstract
Gliomas are the most common brain tumors, with diverse biological behaviour. Glioblastoma (GBM), the most aggressive and with the worst prognosis, is characterized by an intense and aberrant angiogenesis, which distinguishes it from low-grade gliomas (LGGs) and benign expansive lesions, as meningiomas (MNGs). With increasing evidence for the importance of vascularization in tumor biology, we focused on the isolation and characterization of endothelial cells (ECs) from primary GBMs, LGGs and MNGs. Gene expression analysis by Real-Time PCR, immunofluorescence and flow cytometry analysis, tube-like structures formation and vascular permeability assays were performed. Our results showed a higher efficiency of ECs to form a complex vascular architecture, as well as a greater impairment of a brain blood barrier model, and an overexpression of pro-angiogenic mediators in GBM than in LGG and MNG. Furthermore, administration of temozolomide, bevacizumab, and sunitinib triggered a different proliferative, apoptotic and angiogenic response, in a dose and time-dependent manner. An increased resistance to temozolomide was observed in T98G cells co-cultured in GBM-EC conditioned media. Therefore, we developed a novel platform to reproduce tumor vascularization as “disease in a dish”, which allows us to perform screening of sensitivity/resistance to drugs, in order to optimize targeted approaches to GBM therapy.
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Affiliation(s)
- Laura Guarnaccia
- Laboratory of Experimental Neurosurgery and Cell Therapy, Neurosurgery Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, University of Milan, Milan, Italy
| | - Stefania Elena Navone
- Laboratory of Experimental Neurosurgery and Cell Therapy, Neurosurgery Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, University of Milan, Milan, Italy
| | - Elena Trombetta
- Flow Cytometry Service, Laboratory of Clinical Chemistry and Microbiology, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico Milan, Milan, Italy
| | - Chiara Cordiglieri
- Istituto di Genetica Molecolare "Romeo ed Enrica Invernizzi", Milan, Italy
| | - Alessandro Cherubini
- Cell Factory, Unit of Cell Therapy and Cryobiology, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Francesco Maria Crisà
- Laboratory of Experimental Neurosurgery and Cell Therapy, Neurosurgery Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, University of Milan, Milan, Italy
| | - Paolo Rampini
- Laboratory of Experimental Neurosurgery and Cell Therapy, Neurosurgery Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, University of Milan, Milan, Italy
| | - Monica Miozzo
- Division of Pathology, Department of Pathophysiology and Transplantation, University of Milan, Fondazione IRCCs Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Laura Fontana
- Division of Pathology, Department of Pathophysiology and Transplantation, University of Milan, Fondazione IRCCs Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Manuela Caroli
- Laboratory of Experimental Neurosurgery and Cell Therapy, Neurosurgery Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, University of Milan, Milan, Italy
| | - Marco Locatelli
- Laboratory of Experimental Neurosurgery and Cell Therapy, Neurosurgery Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, University of Milan, Milan, Italy
| | - Laura Riboni
- Department of Medical Biotechnology and Translational Medicine, LITA-Segrate, University of Milan, Milan, Italy
| | - Rolando Campanella
- Laboratory of Experimental Neurosurgery and Cell Therapy, Neurosurgery Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, University of Milan, Milan, Italy
| | - Giovanni Marfia
- Laboratory of Experimental Neurosurgery and Cell Therapy, Neurosurgery Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, University of Milan, Milan, Italy.
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The relationship between fractional anisotropy value and tumor microarchitecture in late-stage rat glioma. ASIAN PAC J TROP MED 2017; 10:607-611. [DOI: 10.1016/j.apjtm.2017.06.011] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2017] [Revised: 04/17/2017] [Accepted: 05/18/2017] [Indexed: 11/19/2022] Open
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