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Heyn JCJ, Rädler JO, Falcke M. Mesenchymal cell migration on one-dimensional micropatterns. Front Cell Dev Biol 2024; 12:1352279. [PMID: 38694822 PMCID: PMC11062138 DOI: 10.3389/fcell.2024.1352279] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Accepted: 03/29/2024] [Indexed: 05/04/2024] Open
Abstract
Quantitative studies of mesenchymal cell motion are important to elucidate cytoskeleton function and mechanisms of cell migration. To this end, confinement of cell motion to one dimension (1D) significantly simplifies the problem of cell shape in experimental and theoretical investigations. Here we review 1D migration assays employing micro-fabricated lanes and reflect on the advantages of such platforms. Data are analyzed using biophysical models of cell migration that reproduce the rich scenario of morphodynamic behavior found in 1D. We describe basic model assumptions and model behavior. It appears that mechanical models explain the occurrence of universal relations conserved across different cell lines such as the adhesion-velocity relation and the universal correlation between speed and persistence (UCSP). We highlight the unique opportunity of reproducible and standardized 1D assays to validate theory based on statistical measures from large data of trajectories and discuss the potential of experimental settings embedding controlled perturbations to probe response in migratory behavior.
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Affiliation(s)
- Johannes C. J. Heyn
- Fakultät für Physik, Ludwig-Maximilians-Universität München (LMU), Munich, Germany
| | - Joachim O. Rädler
- Fakultät für Physik, Ludwig-Maximilians-Universität München (LMU), Munich, Germany
| | - Martin Falcke
- Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
- Department of Physics, Humboldt University, Berlin, Germany
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2
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Anderson SM, Kelly M, Odde DJ. Glioblastoma Cells Use an Integrin- and CD44-Mediated Motor-Clutch Mode of Migration in Brain Tissue. Cell Mol Bioeng 2024; 17:121-135. [PMID: 38737451 PMCID: PMC11082118 DOI: 10.1007/s12195-024-00799-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Accepted: 02/14/2024] [Indexed: 05/14/2024] Open
Abstract
Purpose Glioblastoma (GBM) is an aggressive malignant brain tumor with 2 year survival rates of 6.7% (Stupp et al. in J Clin Oncol Off J Am Soc Clin Oncol 25:4127-4136, 2007; Mohammed et al. in Rep Pract Oncol Radiother 27:1026-1036, 2002). One key characteristic of the disease is the ability of glioblastoma cells to migrate rapidly and spread throughout healthy brain tissue (Lefranc et al. in J Clin Oncol Off J Am Soc Clin Oncol 23:2411-2422, 2005; Hoelzinger et al. in J Natl Cancer Inst 21:1583-1593, 2007). To develop treatments that effectively target cell migration, it is important to understand the fundamental mechanism driving cell migration in brain tissue. Several models of cell migration have been proposed, including the motor-clutch, bleb-based motility, and osmotic engine models. Methods Here we utilized confocal imaging to measure traction dynamics and migration speeds of glioblastoma cells in mouse organotypic brain slices to identify the mode of cell migration. Results We found that nearly all cell-vasculature interactions reflected pulling, rather than pushing, on vasculature at the cell leading edge, a finding consistent with a motor-clutch mode of migration, and inconsistent with an osmotic engine model or confined bleb-based migration. Reducing myosin motor activity, a key component in the motor-clutch model, was found to decrease migration speed at high doses for all cell types including U251 and 6 low-passage patient-derived xenograft lines (3 proneural and 3 mesenchymal subtypes). Variable responses were found at low doses, consistent with a motor-clutch mode of migration which predicts a biphasic relationship between migration speed and motor-to-clutch ratio. Targeting of molecular clutches including integrins and CD44 slowed migration of U251 cells. Conclusions Overall we find that glioblastoma cell migration is most consistent with a motor-clutch mechanism to migrate through brain tissue ex vivo, and that both integrins and CD44, as well as myosin motors, play an important role in constituting the adhesive clutch. Supplementary Information The online version contains supplementary material available at 10.1007/s12195-024-00799-x.
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Affiliation(s)
- Sarah M. Anderson
- Department of Biomedical Engineering, University of Minnesota, Minneapolis, MN USA
| | - Marcus Kelly
- Department of Biomedical Engineering, University of Minnesota, Minneapolis, MN USA
| | - David J. Odde
- Department of Biomedical Engineering, University of Minnesota, Minneapolis, MN USA
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3
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Rosito M, Maqbool J, Reccagni A, Giampaoli O, Sciubba F, Antonangeli F, Scavizzi F, Raspa M, Cordella F, Tondo L, Di Angelantonio S, Trettel F, Miccheli A, D'Alessandro G, Limatola C. Antibiotics treatment promotes vasculogenesis in the brain of glioma-bearing mice. Cell Death Dis 2024; 15:210. [PMID: 38480690 PMCID: PMC10937980 DOI: 10.1038/s41419-024-06578-w] [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: 08/20/2023] [Revised: 02/20/2024] [Accepted: 02/26/2024] [Indexed: 03/17/2024]
Abstract
In recent years, several studies described the close relationship between the composition of gut microbiota and brain functions, highlighting the importance of gut-derived metabolites in mediating neuronal and glial cells cross-talk in physiological and pathological condition. Gut dysbiosis may affects cerebral tumors growth and progression, but the specific metabolites involved in this modulation have not been identified yet. Using a syngeneic mouse model of glioma, we have investigated the role of dysbiosis induced by the administration of non-absorbable antibiotics on mouse metabolome and on tumor microenvironment. We report that antibiotics treatment induced: (1) alteration of the gut and brain metabolome profiles; (2) modeling of tumor microenvironment toward a pro-angiogenic phenotype in which microglia and glioma cells are actively involved; (3) increased glioma stemness; (4) trans-differentiation of glioma cells into endothelial precursor cells, thus increasing vasculogenesis. We propose glycine as a metabolite that, in ABX-induced dysbiosis, shapes brain microenvironment and contributes to glioma growth and progression.
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Affiliation(s)
- Maria Rosito
- Department of Physiology and Pharmacology, Sapienza University, Rome, Italy
- Center for Life Nanoscience & Neuroscience Istituto Italiano di Tecnologia@Sapienza, Rome, Italy
| | - Javeria Maqbool
- Department of Physiology and Pharmacology, Sapienza University, Rome, Italy
| | - Alice Reccagni
- Department of Physiology and Pharmacology, Sapienza University, Rome, Italy
| | - Ottavia Giampaoli
- Department of Environmental Biology, Sapienza University, Rome, Italy
- NMR-Based Metabolomics Laboratory (NMLab), Sapienza University, Rome, Italy
| | - Fabio Sciubba
- Department of Environmental Biology, Sapienza University, Rome, Italy
- NMR-Based Metabolomics Laboratory (NMLab), Sapienza University, Rome, Italy
| | - Fabrizio Antonangeli
- Institute of Molecular Biology and Pathology, National Research Council (CNR), Rome, Italy
| | | | | | - Federica Cordella
- Department of Physiology and Pharmacology, Sapienza University, Rome, Italy
- Center for Life Nanoscience & Neuroscience Istituto Italiano di Tecnologia@Sapienza, Rome, Italy
| | - Lucrezia Tondo
- Department of Physiology and Pharmacology, Sapienza University, Rome, Italy
- Center for Life Nanoscience & Neuroscience Istituto Italiano di Tecnologia@Sapienza, Rome, Italy
| | - Silvia Di Angelantonio
- Department of Physiology and Pharmacology, Sapienza University, Rome, Italy
- Center for Life Nanoscience & Neuroscience Istituto Italiano di Tecnologia@Sapienza, Rome, Italy
| | - Flavia Trettel
- Department of Physiology and Pharmacology, Sapienza University, Rome, Italy.
| | - Alfredo Miccheli
- Department of Environmental Biology, Sapienza University, Rome, Italy
- NMR-Based Metabolomics Laboratory (NMLab), Sapienza University, Rome, Italy
| | - Giuseppina D'Alessandro
- Department of Physiology and Pharmacology, Sapienza University, Rome, Italy
- IRCCS Neuromed, Pozzilli, IS, Italy
| | - Cristina Limatola
- IRCCS Neuromed, Pozzilli, IS, Italy.
- Department of Physiology and Pharmacology, Sapienza University, Laboratory Affiliated to Institute Pasteur Italia, Rome, Italy.
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4
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Jhunjhunwala M, Yu LS, Kuo PC, Li CY, Chen CS. Tumor-Derived Membrane Vesicles Restrain Migration in Gliomas By Altering Collective Polarization. ACS APPLIED BIO MATERIALS 2023; 6:4764-4774. [PMID: 37862244 DOI: 10.1021/acsabm.3c00533] [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] [Indexed: 10/22/2023]
Abstract
Mechanobiology is a cornerstone in physiology. However, its role in biomedical applications remains considerably undermined. In this study, we employed cell membrane vesicles (CMVs), which are currently being used as nanodrug carriers, as tactile cues for mechano-regulation of collective cell behaviors. Gliomas, which are among the most resilient brain tumors and have a low patient survival rate, were used as the cell model. We observed that mechanical responses due to the application of glioma- or microglia-derived CMVs resulted in the doubling of the traction stress of glioma cell collectives with a 10-fold increase in the CMV concentration. Glioma-CMVs constrained cell protrusions and hindered their collective migration, with the migration speed of such cells declining by almost 40% compared to the untreated cells. We speculated that the alteration of collective polarization leads to migration speed changes, and this phenomenon was elucidated using the cellular Potts model. In addition to intracellular force modulation and cytoskeletal reorganization, glioma-CMVs altered drug diffusion within glioma spheroids by downregulating the mechano-signaling protein YAP-1 while also marginally enhancing the associated apoptotic events. Our results suggest that glioma-CMVs can be applied as an adjuvant to current treatment approaches to restrict tumor invasion and enhance the penetration of reagents within tumors. Considering the broad impact of mechano-transduction on cell functions, the regulation of cell mechanics through CMVs can provide a foundation for alternative therapeutic strategies.
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Affiliation(s)
| | - Lin-Sheng Yu
- National Tsing Hua University, Hsinchu 300044, Republic of China
| | - Ping-Chen Kuo
- National Tsing Hua University, Hsinchu 300044, Republic of China
| | - Chia-Yang Li
- Graduate Institute of Medicine, Kaohsiung Medical University, Kaohsiung 80708, Republic of China
- Department of Medical Research, Kaohsiung Medical University Hospital, Kaohsiung 80708, Republic of China
- Department of Biological Science and Technology, National Pingtung University of Science and Technology, Pingtung 91201, Republic of China
| | - Chi-Shuo Chen
- National Tsing Hua University, Hsinchu 300044, Republic of China
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5
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Anderson SM, Kelly M, Odde DJ. Glioblastoma cells use an integrin- and CD44-mediated motor-clutch mode of migration in brain tissue. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.10.23.563458. [PMID: 37961475 PMCID: PMC10634749 DOI: 10.1101/2023.10.23.563458] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2023]
Abstract
Glioblastoma (GBM) is an aggressive malignant brain tumor with 2-year survival rates of 6.7% [1], [2]. One key characteristic of the disease is the ability of glioblastoma cells to migrate rapidly and spread throughout healthy brain tissue[3], [4]. To develop treatments that effectively target cell migration, it is important to understand the fundamental mechanism driving cell migration in brain tissue. Here we utilized confocal imaging to measure traction dynamics and migration speeds of glioblastoma cells in mouse organotypic brain slices to identify the mode of cell migration. Through imaging cell-vasculature interactions and utilizing drugs, antibodies, and genetic modifications to target motors and clutches, we find that glioblastoma cell migration is most consistent with a motor-clutch mechanism to migrate through brain tissue ex vivo, and that both integrins and CD44, as well as myosin motors, play an important role in constituting the adhesive clutch.
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Affiliation(s)
- Sarah M Anderson
- Department of Biomedical Engineering, University of Minnesota, Minneapolis, Minnesota, USA
| | - Marcus Kelly
- Department of Biomedical Engineering, University of Minnesota, Minneapolis, Minnesota, USA
| | - David J. Odde
- Department of Biomedical Engineering, University of Minnesota, Minneapolis, Minnesota, USA
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6
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Alonso-Matilla R, Provenzano PP, Odde DJ. Optimal cell traction forces in a generalized motor-clutch model. Biophys J 2023; 122:3369-3385. [PMID: 37475213 PMCID: PMC10465728 DOI: 10.1016/j.bpj.2023.07.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Revised: 06/25/2023] [Accepted: 07/17/2023] [Indexed: 07/22/2023] Open
Abstract
Cells exert forces on mechanically compliant environments to sense stiffness, migrate, and remodel tissue. Cells can sense environmental stiffness via myosin-generated pulling forces acting on F-actin, which is in turn mechanically coupled to the environment via adhesive proteins, akin to a clutch in a drivetrain. In this "motor-clutch" framework, the force transmitted depends on the complex interplay of motor, clutch, and environmental properties. Previous mean-field analysis of the motor-clutch model identified the conditions for optimal stiffness for maximal force transmission via a dimensionless number that combines motor-clutch parameters. However, in this and other previous mean-field analyses, the motor-clutch system is assumed to have balanced motors and clutches and did not consider force-dependent clutch reinforcement and catch bond behavior. Here, we generalize the motor-clutch analytical framework to include imbalanced motor-clutch regimes, with clutch reinforcement and catch bonding, and investigate optimality with respect to all parameters. We found that traction force is strongly influenced by clutch stiffness, and we discovered an optimal clutch stiffness that maximizes traction force, suggesting that cells could tune their clutch mechanical properties to perform a specific function. The results provide guidance for maximizing the accuracy of cell-generated force measurements via molecular tension sensors by designing their mechanosensitive linker peptide to be as stiff as possible. In addition, we found that, on rigid substrates, the mean-field analysis identifies optimal motor properties, suggesting that cells could regulate their myosin repertoire and activity to maximize force transmission. Finally, we found that clutch reinforcement shifts the optimum substrate stiffness to larger values, whereas the optimum substrate stiffness is insensitive to clutch catch bond properties. Overall, our work reveals novel features of the motor-clutch model that can affect the design of molecular tension sensors and provide a generalized analytical framework for predicting and controlling cell adhesion and migration in immunotherapy and cancer.
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Affiliation(s)
- Roberto Alonso-Matilla
- Department of Biomedical Engineering, University of Minnesota, Minneapolis, Minnesota; University of Minnesota Physical Sciences in Oncology Center, Minneapolis, Minnesota; University of Minnesota Center for Multiparametric Imaging of Tumor Immune Microenvironments, Minneapolis, Minnesota
| | - Paolo P Provenzano
- Department of Biomedical Engineering, University of Minnesota, Minneapolis, Minnesota; University of Minnesota Physical Sciences in Oncology Center, Minneapolis, Minnesota; University of Minnesota Center for Multiparametric Imaging of Tumor Immune Microenvironments, Minneapolis, Minnesota; Masonic Cancer Center, University of Minnesota, Minneapolis, Minnesota; Department of Hematology, Oncology, and Transplantation, University of Minnesota, Minneapolis, Minnesota; Stem Cell Institute, University of Minnesota, Minneapolis, Minnesota
| | - David J Odde
- Department of Biomedical Engineering, University of Minnesota, Minneapolis, Minnesota; University of Minnesota Physical Sciences in Oncology Center, Minneapolis, Minnesota; University of Minnesota Center for Multiparametric Imaging of Tumor Immune Microenvironments, Minneapolis, Minnesota; Masonic Cancer Center, University of Minnesota, Minneapolis, Minnesota.
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7
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Safarians G, Sohrabi A, Solomon I, Xiao W, Bastola S, Rajput BW, Epperson M, Rosenzweig I, Tamura K, Singer B, Huang J, Harrison MJ, Sanazzaro T, Condro MC, Kornblum HI, Seidlits SK. Glioblastoma Spheroid Invasion through Soft, Brain-Like Matrices Depends on Hyaluronic Acid-CD44 Interactions. Adv Healthc Mater 2023:e2203143. [PMID: 36694362 DOI: 10.1002/adhm.202203143] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2022] [Indexed: 01/26/2023]
Abstract
Increased secretion of hyaluronic acid (HA), a glycosaminoglycan abundant in the brain extracellular matrix (ECM), correlates with worse clinical outcomes for glioblastoma (GBM) patients. GBM cells aggressively invade the brain parenchyma while encountering spatiotemporal changes in their local ECM, including HA concentration. To investigate how varying HA concentrations affect GBM invasion, patient-derived GBM cells are cultured within a soft, 3D matrix in which HA concentration is precisely varied and cell migration observed. Data demonstrate that HA concentration can determine the invasive activity of patient-derived GBM cells in a biphasic and highly sensitive manner, where the absolute concentration of HA at which cell migration peaked is specific to each patient-derived line. Furthermore, evidence that this response relies on phosphorylated ezrin, which interacts with the intracellular domain of HA-engaged CD44 to effectively link the actin cytoskeleton to the local ECM is provided. Overall, this study highlights CD44-HA binding as a major mediator of GBM cell migration that acts independently of integrins and focal adhesion complexes and suggests that targeting HA-CD44-ezrin interactions represents a promising therapeutic strategy to prevent tumor cell invasion in the brain.
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Affiliation(s)
- Gevick Safarians
- Department of Bioengineering, University of California Los Angeles, Los Angeles, CA, 90095, USA
| | - Alireza Sohrabi
- Department of Bioengineering, University of California Los Angeles, Los Angeles, CA, 90095, USA.,Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX, 78712, USA
| | - Itay Solomon
- Department of Bioengineering, University of California Los Angeles, Los Angeles, CA, 90095, USA
| | - Weikun Xiao
- Department of Bioengineering, University of California Los Angeles, Los Angeles, CA, 90095, USA
| | - Soniya Bastola
- Department of Bioengineering, University of California Los Angeles, Los Angeles, CA, 90095, USA.,Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, CA, 90024, USA
| | - Bushra W Rajput
- Department of Bioengineering, University of California Los Angeles, Los Angeles, CA, 90095, USA
| | - Mary Epperson
- Department of Bioengineering, University of California Los Angeles, Los Angeles, CA, 90095, USA
| | - Isabella Rosenzweig
- Department of Bioengineering, University of California Los Angeles, Los Angeles, CA, 90095, USA
| | - Kelly Tamura
- Department of Bioengineering, University of California Los Angeles, Los Angeles, CA, 90095, USA
| | - Breahna Singer
- Department of Bioengineering, University of California Los Angeles, Los Angeles, CA, 90095, USA
| | - Joyce Huang
- Department of Bioengineering, University of California Los Angeles, Los Angeles, CA, 90095, USA
| | - Mollie J Harrison
- Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX, 78712, USA
| | - Talia Sanazzaro
- Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX, 78712, USA
| | - Michael C Condro
- Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, CA, 90024, USA
| | - Harley I Kornblum
- Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, CA, 90024, USA
| | - Stephanie K Seidlits
- Department of Bioengineering, University of California Los Angeles, Los Angeles, CA, 90095, USA.,Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX, 78712, USA
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8
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Faisal SM, Comba A, Varela ML, Argento AE, Brumley E, Abel C, Castro MG, Lowenstein PR. The complex interactions between the cellular and non-cellular components of the brain tumor microenvironmental landscape and their therapeutic implications. Front Oncol 2022; 12:1005069. [PMID: 36276147 PMCID: PMC9583158 DOI: 10.3389/fonc.2022.1005069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Accepted: 09/20/2022] [Indexed: 11/26/2022] Open
Abstract
Glioblastoma (GBM), an aggressive high-grade glial tumor, is resistant to therapy and has a poor prognosis due to its universal recurrence rate. GBM cells interact with the non-cellular components in the tumor microenvironment (TME), facilitating their rapid growth, evolution, and invasion into the normal brain. Herein we discuss the complexity of the interactions between the cellular and non-cellular components of the TME and advances in the field as a whole. While the stroma of non-central nervous system (CNS) tissues is abundant in fibrillary collagens, laminins, and fibronectin, the normal brain extracellular matrix (ECM) predominantly includes proteoglycans, glycoproteins, and glycosaminoglycans, with fibrillary components typically found only in association with the vasculature. However, recent studies have found that in GBMs, the microenvironment evolves into a more complex array of components, with upregulated collagen gene expression and aligned fibrillary ECM networks. The interactions of glioma cells with the ECM and the degradation of matrix barriers are crucial for both single-cell and collective invasion into neighboring brain tissue. ECM-regulated mechanisms also contribute to immune exclusion, resulting in a major challenge to immunotherapy delivery and efficacy. Glioma cells chemically and physically control the function of their environment, co-opting complex signaling networks for their own benefit, resulting in radio- and chemo-resistance, tumor recurrence, and cancer progression. Targeting these interactions is an attractive strategy for overcoming therapy resistance, and we will discuss recent advances in preclinical studies, current clinical trials, and potential future clinical applications. In this review, we also provide a comprehensive discussion of the complexities of the interconnected cellular and non-cellular components of the microenvironmental landscape of brain tumors to guide the development of safe and effective therapeutic strategies against brain cancer.
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Affiliation(s)
- Syed M. Faisal
- Dept. of Neurosurgery, University of Michigan Medical School, Ann Arbor, MI, United States
- Dept. of Cell and Developmental Biology, University of Michigan Medical School, Ann Arbor, MI, United States
- Rogel Cancer Center, University of Michigan Medical School, Ann Arbor, MI, United States
| | - Andrea Comba
- Dept. of Neurosurgery, University of Michigan Medical School, Ann Arbor, MI, United States
- Dept. of Cell and Developmental Biology, University of Michigan Medical School, Ann Arbor, MI, United States
- Rogel Cancer Center, University of Michigan Medical School, Ann Arbor, MI, United States
| | - Maria L. Varela
- Dept. of Neurosurgery, University of Michigan Medical School, Ann Arbor, MI, United States
- Dept. of Cell and Developmental Biology, University of Michigan Medical School, Ann Arbor, MI, United States
- Rogel Cancer Center, University of Michigan Medical School, Ann Arbor, MI, United States
| | - Anna E. Argento
- Dept. of Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States
| | - Emily Brumley
- Dept. of Neurosurgery, University of Michigan Medical School, Ann Arbor, MI, United States
- Dept. of Cell and Developmental Biology, University of Michigan Medical School, Ann Arbor, MI, United States
- Rogel Cancer Center, University of Michigan Medical School, Ann Arbor, MI, United States
| | - Clifford Abel
- Dept. of Neurosurgery, University of Michigan Medical School, Ann Arbor, MI, United States
- Dept. of Cell and Developmental Biology, University of Michigan Medical School, Ann Arbor, MI, United States
- Rogel Cancer Center, University of Michigan Medical School, Ann Arbor, MI, United States
| | - Maria G. Castro
- Dept. of Neurosurgery, University of Michigan Medical School, Ann Arbor, MI, United States
- Dept. of Cell and Developmental Biology, University of Michigan Medical School, Ann Arbor, MI, United States
- Rogel Cancer Center, University of Michigan Medical School, Ann Arbor, MI, United States
| | - Pedro R. Lowenstein
- Dept. of Neurosurgery, University of Michigan Medical School, Ann Arbor, MI, United States
- Dept. of Cell and Developmental Biology, University of Michigan Medical School, Ann Arbor, MI, United States
- Rogel Cancer Center, University of Michigan Medical School, Ann Arbor, MI, United States
- Dept. of Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States
- *Correspondence: Pedro R. Lowenstein,
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9
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Feng S, Wang K, Shao Z, Lin Q, Li B, Liu P. Network of miR-373/miR-520s-CD44 Axis Significantly Inhibits the Growth and Invasion of Human Glioblastoma Cells. Arch Med Res 2022; 53:550-561. [PMID: 36115716 DOI: 10.1016/j.arcmed.2022.08.003] [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: 12/27/2021] [Revised: 06/30/2022] [Accepted: 08/09/2022] [Indexed: 11/02/2022]
Abstract
BACKGROUND The expression and regulation of microRNAs (miRNAs) play an important role in glioblastoma (GBM) tumorigenesis, progression and prognosis. Little is known about the role of the miRNA regulatory network of GBM risk-related genes in GBM growth and invasiveness. METHODS The UALCAN and Oncomine gene expression dataset were used to explore gene expression profiles in human GBM. The Kaplan-Meier method was performed to evaluate the prognostic values of the GBM-related genes. Multiple bioinformatics databases were analysed to predict the GBM-related genes targeted by miRNAs. A luciferase reporter assay and other molecular cell function experiments were conducted to reveal the mechanisms of interaction between the identified miRNAs and their targets. RESULTS The CD44 expression is significantly higher in GBM tissues than that in normal tissues, and negatively correlated with survival duration in GBM patients. In normal physiological conditions, CD44 expression is lower in various parts of the central nervous system than in other organ systems. The mRNA encoding CD44 is a direct target of miR-373 and miR-520s, and this finding was verified by molecular biology experiments. We further found that miR-373 and miR-520s expression was negatively associated with CD44 expression in GBM specimens, and that the miR-373 or miR-520s-CD44 interaction network significantly affected the growth and invasiveness of GBM cells. CONCLUSION The miR-373 and miR-520s exert their functions by suppressing CD44 expression in GBM cells, and their expression, together with that of CD44, could thus serve as a valuable biomarker of GBM prognosis.
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Affiliation(s)
- Shuo Feng
- Department of Neurosurgery, Qingdao Huangdao District People's Hospital, Qingdao, China; Department of Neurosurgery, Qingdao West Coast New District People's Hospital, Qingdao, China
| | - Kun Wang
- Department of Neurosurgery, Qingdao Huangdao District People's Hospital, Qingdao, China; Department of Neurosurgery, Qingdao West Coast New District People's Hospital, Qingdao, China.
| | - Zhiwei Shao
- Intensive Care Unit, Qingdao Huangdao District People's Hospital, Qingdao, China
| | - Qiang Lin
- Department of Neurosurgery, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Bing Li
- Department of Neurosurgery, Qingdao Huangdao District People's Hospital, Qingdao, China; Department of Neurosurgery, Qingdao West Coast New District People's Hospital, Qingdao, China
| | - Peng Liu
- Department of Neurosurgery, Qingdao Huangdao District People's Hospital, Qingdao, China; Department of Neurosurgery, Qingdao West Coast New District People's Hospital, Qingdao, China.
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10
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Isomursu A, Park KY, Hou J, Cheng B, Mathieu M, Shamsan GA, Fuller B, Kasim J, Mahmoodi MM, Lu TJ, Genin GM, Xu F, Lin M, Distefano MD, Ivaska J, Odde DJ. Directed cell migration towards softer environments. NATURE MATERIALS 2022; 21:1081-1090. [PMID: 35817964 PMCID: PMC10712428 DOI: 10.1038/s41563-022-01294-2] [Citation(s) in RCA: 58] [Impact Index Per Article: 29.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/07/2021] [Accepted: 05/18/2022] [Indexed: 05/23/2023]
Abstract
How cells sense tissue stiffness to guide cell migration is a fundamental question in development, fibrosis and cancer. Although durotaxis-cell migration towards increasing substrate stiffness-is well established, it remains unknown whether individual cells can migrate towards softer environments. Here, using microfabricated stiffness gradients, we describe the directed migration of U-251MG glioma cells towards less stiff regions. This 'negative durotaxis' does not coincide with changes in canonical mechanosensitive signalling or actomyosin contractility. Instead, as predicted by the motor-clutch-based model, migration occurs towards areas of 'optimal stiffness', where cells can generate maximal traction. In agreement with this model, negative durotaxis is selectively disrupted and even reversed by the partial inhibition of actomyosin contractility. Conversely, positive durotaxis can be switched to negative by lowering the optimal stiffness by the downregulation of talin-a key clutch component. Our results identify the molecular mechanism driving context-dependent positive or negative durotaxis, determined by a cell's contractile and adhesive machinery.
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Affiliation(s)
- Aleksi Isomursu
- Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland
| | - Keun-Young Park
- Department of Chemistry, University of Minnesota, Minneapolis, MN, USA
| | - Jay Hou
- Department of Biomedical Engineering, University of Minnesota, Minneapolis, MN, USA
| | - Bo Cheng
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, People's Republic of China
- Bioinspired Engineering and Biomechanics Center (BEBC), Xi'an Jiaotong University, Xi'an, People's Republic of China
| | - Mathilde Mathieu
- Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland
| | - Ghaidan A Shamsan
- Department of Biomedical Engineering, University of Minnesota, Minneapolis, MN, USA
| | - Benjamin Fuller
- Department of Biomedical Engineering, University of Minnesota, Minneapolis, MN, USA
| | - Jesse Kasim
- Department of Biomedical Engineering, University of Minnesota, Minneapolis, MN, USA
| | - M Mohsen Mahmoodi
- Department of Chemistry, University of Minnesota, Minneapolis, MN, USA
| | - Tian Jian Lu
- State Key Laboratory of Mechanics and Control of Mechanical Structures, Nanjing University of Aeronautics and Astronautics, Nanjing, People's Republic of China
- MOE Key Laboratory of Multifunctional Materials and Structures, Xi'an Jiaotong University, Xi'an, People's Republic of China
| | - Guy M Genin
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, People's Republic of China
- Bioinspired Engineering and Biomechanics Center (BEBC), Xi'an Jiaotong University, Xi'an, People's Republic of China
- NSF Science and Technology Center for Engineering Mechanobiology, Washington University in St. Louis, St. Louis, MO, USA
| | - Feng Xu
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, People's Republic of China
- Bioinspired Engineering and Biomechanics Center (BEBC), Xi'an Jiaotong University, Xi'an, People's Republic of China
| | - Min Lin
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, People's Republic of China.
- Bioinspired Engineering and Biomechanics Center (BEBC), Xi'an Jiaotong University, Xi'an, People's Republic of China.
| | - Mark D Distefano
- Department of Chemistry, University of Minnesota, Minneapolis, MN, USA.
| | - Johanna Ivaska
- Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland.
- Department of Life Technologies, University of Turku, Turku, Finland.
- InFLAMES Research Flagship Center, University of Turku, Turku, Finland.
- Foundation for the Finnish Cancer Institute, Helsinki, Finland.
| | - David J Odde
- Department of Biomedical Engineering, University of Minnesota, Minneapolis, MN, USA.
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11
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Lubanska D, Alrashed S, Mason GT, Nadeem F, Awada A, DiPasquale M, Sorge A, Malik A, Kojic M, Soliman MAR, deCarvalho AC, Shamisa A, Kulkarni S, Marquardt D, Porter LA, Rondeau-Gagné S. Impairing proliferation of glioblastoma multiforme with CD44+ selective conjugated polymer nanoparticles. Sci Rep 2022; 12:12078. [PMID: 35840697 PMCID: PMC9287456 DOI: 10.1038/s41598-022-15244-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Accepted: 06/21/2022] [Indexed: 11/08/2022] Open
Abstract
Glioblastoma is one of the most aggressive types of cancer with success of therapy being hampered by the existence of treatment resistant populations of stem-like Tumour Initiating Cells (TICs) and poor blood-brain barrier drug penetration. Therapies capable of effectively targeting the TIC population are in high demand. Here, we synthesize spherical diketopyrrolopyrrole-based Conjugated Polymer Nanoparticles (CPNs) with an average diameter of 109 nm. CPNs were designed to include fluorescein-conjugated Hyaluronic Acid (HA), a ligand for the CD44 receptor present on one population of TICs. We demonstrate blood-brain barrier permeability of this system and concentration and cell cycle phase-dependent selective uptake of HA-CPNs in CD44 positive GBM-patient derived cultures. Interestingly, we found that uptake alone regulated the levels and signaling activity of the CD44 receptor, decreasing stemness, invasive properties and proliferation of the CD44-TIC populations in vitro and in a patient-derived xenograft zebrafish model. This work proposes a novel, CPN- based, and surface moiety-driven selective way of targeting of TIC populations in brain cancer.
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Affiliation(s)
- Dorota Lubanska
- Department of Biomedical Sciences, University of Windsor, 401 Sunset Ave., Windsor, ON, N9B 3P4, Canada
| | - Sami Alrashed
- Department of Biomedical Sciences, University of Windsor, 401 Sunset Ave., Windsor, ON, N9B 3P4, Canada
| | - Gage T Mason
- Department of Chemistry and Biochemistry, University of Windsor, 401 Sunset Ave., Windsor, ON, N9B 3P4, Canada
| | - Fatima Nadeem
- Department of Biomedical Sciences, University of Windsor, 401 Sunset Ave., Windsor, ON, N9B 3P4, Canada
| | - Angela Awada
- Department of Chemistry and Biochemistry, University of Windsor, 401 Sunset Ave., Windsor, ON, N9B 3P4, Canada
| | - Mitchell DiPasquale
- Department of Chemistry and Biochemistry, University of Windsor, 401 Sunset Ave., Windsor, ON, N9B 3P4, Canada
| | - Alexandra Sorge
- Department of Biomedical Sciences, University of Windsor, 401 Sunset Ave., Windsor, ON, N9B 3P4, Canada
| | - Aleena Malik
- Department of Chemistry and Biochemistry, University of Windsor, 401 Sunset Ave., Windsor, ON, N9B 3P4, Canada
| | - Monika Kojic
- Department of Chemistry and Biochemistry, University of Windsor, 401 Sunset Ave., Windsor, ON, N9B 3P4, Canada
| | - Mohamed A R Soliman
- Department of Neurosurgery, Faculty of Medicine, Cairo University, Cairo, Egypt
- Department of Neurosurgery, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, USA
- Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
| | - Ana C deCarvalho
- Department of Neurosurgery, Henry Ford Hospital, Detroit, MI, 48202, USA
| | - Abdalla Shamisa
- Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
| | - Swati Kulkarni
- Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
| | - Drew Marquardt
- Department of Chemistry and Biochemistry, University of Windsor, 401 Sunset Ave., Windsor, ON, N9B 3P4, Canada
- Department of Physics, University of Windsor, 401 Sunset Ave., Windsor, ON, N9B 3P4, Canada
| | - Lisa A Porter
- Department of Biomedical Sciences, University of Windsor, 401 Sunset Ave., Windsor, ON, N9B 3P4, Canada.
| | - Simon Rondeau-Gagné
- Department of Chemistry and Biochemistry, University of Windsor, 401 Sunset Ave., Windsor, ON, N9B 3P4, Canada.
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12
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Dystrophin missense mutations alter focal adhesion tension and mechanotransduction. Proc Natl Acad Sci U S A 2022; 119:e2205536119. [PMID: 35700360 PMCID: PMC9231619 DOI: 10.1073/pnas.2205536119] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Skeletal muscle is a mechanical organ that not only produces force but also uses mechanical stimuli as a signal to regulate cellular responses. Duchenne and Becker muscular dystrophy are lethal muscle wasting diseases that affect 1 in 3,500 boys and is caused by the absence or malfunction of dystrophin protein, respectively. There is a lack of understanding on how the integration of these mechanical signals is dysregulated in muscular dystrophy and how they may contribute to disease progression. In this study, we show that patient-relevant dystrophin mutations alter the mechanical signaling axis in muscle cells, leading to impaired migration. This work proposes dystrophin as a component of the cellular force-sensing machinery, furthering our knowledge in the pathomechanism of muscular dystrophy. Dystrophin is an essential muscle protein that contributes to cell membrane stability by mechanically linking the actin cytoskeleton to the extracellular matrix via an adhesion complex called the dystrophin–glycoprotein complex. The absence or impaired function of dystrophin causes muscular dystrophy. Focal adhesions (FAs) are also mechanosensitive adhesion complexes that connect the cytoskeleton to the extracellular matrix. However, the interplay between dystrophin and FA force transmission has not been investigated. Using a vinculin-based bioluminescent tension sensor, we measured FA tension in transgenic C2C12 myoblasts expressing wild-type (WT) dystrophin, a nonpathogenic single nucleotide polymorphism (SNP) (I232M), or two missense mutations associated with Duchenne (L54R), or Becker muscular dystrophy (L172H). Our data revealed cross talk between dystrophin and FAs, as the expression of WT or I232M dystrophin increased FA tension compared to dystrophin-less nontransgenic myoblasts. In contrast, the expression of L54R or L172H did not increase FA tension, indicating that these disease-causing mutations compromise the mechanical function of dystrophin as an FA allosteric regulator. Decreased FA tension caused by these mutations manifests as defective migration, as well as decreased Yes-associated protein 1 (YAP) activation, possibly by the disruption of the ability of FAs to transmit forces between the extracellular matrix and cytoskeleton. Our results indicate that dystrophin influences FA tension and suggest that dystrophin disease-causing missense mutations may disrupt a cellular tension-sensing pathway in dystrophic skeletal muscle.
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13
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Qian C, Xiufu W, Jianxun T, Zihao C, Wenjie S, Jingfeng T, Kahlert UD, Renfei D. A Novel Extracellular Matrix Gene-Based Prognostic Model to Predict Overall Survive in Patients With Glioblastoma. Front Genet 2022; 13:851427. [PMID: 35783254 PMCID: PMC9247148 DOI: 10.3389/fgene.2022.851427] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2022] [Accepted: 03/30/2022] [Indexed: 11/15/2022] Open
Abstract
Background: Glioblastoma (GBM), one of the most prevalent brain tumor types, is correlated with an extremely poor prognosis. The extracellular matrix (ECM) genes could activate many crucial pathways that facilitate tumor development. This study aims to provide online models to predict GBM survival by ECM genes. Methods: The associations of ECM genes with the prognosis of GBM were analyzed, and the significant prognosis-related genes were used to develop the ECM index in the CGGA dataset. Furthermore, the ECM index was then validated on three datasets, namely, GSE16011, TCGA-GBM, and GSE83300. The prognosis difference, differentially expressed genes, and potential drugs were obtained. Multiple machine learning methods were selected to construct the model to predict the survival status of GBM patients at 6, 12, 18, 24, 30, and 36 months after diagnosis. Results: Five ECM gene signatures (AEBP1, F3, FLNC, IGFBP2, and LDHA) were recognized to be associated with the prognosis. GBM patients were divided into high– and low–ECM index groups with significantly different overall survival rates in four datasets. High–ECM index patients exhibited a worse prognosis than low–ECM index patients. Four small molecules (podophyllotoxin, lasalocid, MG-262, and nystatin) that might reduce GBM development were predicted by the Cmap dataset. In the independent dataset (GSE83300), the maximum values of prediction accuracy at 6, 12, 18, 24, 30, and 36 months were 0.878, 0.769, 0.748, 0.720, 0.705, and 0.868, respectively. These machine learning models were provided on a publicly accessible, open-source website (https://ospg.shinyapps.io/OSPG/). Conclusion: In summary, our findings indicated that ECM genes were prognostic indicators for patient survival. This study provided an online server for the prediction of survival curves of GBM patients.
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Affiliation(s)
- Chen Qian
- Department of Cerebrovascular Diseases, The Second Affiliated Hospital of Guilin Medical University, Guilin, China
| | - Wu Xiufu
- Department of Cerebrovascular Diseases, The Second Affiliated Hospital of Guilin Medical University, Guilin, China
| | - Tang Jianxun
- Department of Cerebrovascular Diseases, The Second Affiliated Hospital of Guilin Medical University, Guilin, China
| | - Chen Zihao
- University Hospital for Gynecology, Pius-Hospital, University Medicine Oldenburg, Oldenburg, Germany
| | - Shi Wenjie
- University Hospital for Gynecology, Pius-Hospital, University Medicine Oldenburg, Oldenburg, Germany
- Molecular and Experimental Surgery, Medical Faculty University Hospital Magdeburg, University Clinic for General-, Visceral-, Vascular- and Trans-Plantation Surgery, Otto-von Guericke University, Magdeburg, Germany
| | - Tang Jingfeng
- Department of Cerebrovascular Diseases, The Second Affiliated Hospital of Guilin Medical University, Guilin, China
| | - Ulf D. Kahlert
- Molecular and Experimental Surgery, Medical Faculty University Hospital Magdeburg, University Clinic for General-, Visceral-, Vascular- and Trans-Plantation Surgery, Otto-von Guericke University, Magdeburg, Germany
- *Correspondence: Ulf D. Kahlert, ; Du Renfei,
| | - Du Renfei
- Clinic of Neurosurgery, Medical Faculty, Heinrich-Heine University Düsseldorf, Düsseldorf, Germany
- Chifeng Municipal Hospital, Inner Mongolia, Chifeng, China
- *Correspondence: Ulf D. Kahlert, ; Du Renfei,
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14
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A first-in-human Phase I dose-escalation trial of the novel therapeutic peptide, ALM201, demonstrates a favourable safety profile in unselected patients with ovarian cancer and other advanced solid tumours. Br J Cancer 2022; 127:92-101. [PMID: 35568736 PMCID: PMC9276671 DOI: 10.1038/s41416-022-01780-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Revised: 02/15/2022] [Accepted: 03/02/2022] [Indexed: 01/04/2023] Open
Abstract
Background We aimed to assess the safety, tolerability and pharmacokinetics of a novel anti-angiogenic peptide. Methods We used an open-label, multicentre, dose-escalation Phase I trial design in patients with solid tumours. ALM201 was administered subcutaneously once daily for 5 days every week in unselected patients with solid tumours. Results Twenty (8 male, 12 female) patients with various solid tumours were treated (18 evaluable for toxicity) over eight planned dose levels (10–300 mg). ALM201 was well-tolerated at all dose levels without CTCAE grade 4 toxicities. Adverse events were predominantly grades 1–2, most commonly, localised injection-site reactions (44.4%), vomiting (11%), fatigue (16.7%), arthralgia (5.6%) and headache (11%). Thrombosis occurred in two patients at the 100 mg and 10 mg dose levels. The MTD was not reached, and a recommended Phase II dose (RP2D) based on feasibility was declared. Plasma exposure increased with dose (less than dose-proportional at the two highest dose levels). No peptide accumulation was evident. The median treatment duration was 11.1 (range 3–18) weeks. Four of 18 evaluable patients (22%) had stable disease. Conclusions Doses up to 300 mg of ALM201 subcutaneously are feasible and well-tolerated. Further investigation of this agent in selected tumour types/settings would benefit from patient-selection biomarkers.
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15
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Contact guidance as a consequence of coupled morphological evolution and motility of adherent cells. Biomech Model Mechanobiol 2022; 21:1043-1065. [PMID: 35477826 PMCID: PMC9283373 DOI: 10.1007/s10237-022-01570-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2021] [Accepted: 02/25/2022] [Indexed: 11/25/2022]
Abstract
Adherent cells seeded on substrates spread and evolve their morphology while simultaneously displaying motility. Phenomena such as contact guidance, viz. the alignment of cells on patterned substrates, are strongly linked to the coupling of morphological evolution with motility. Here, we employ a recently developed statistical thermodynamics framework for modelling the non-thermal fluctuating response of cells to probe this coupling. This thermodynamic framework is first extended via a Langevin style model to predict temporal responses of cells to unpatterned and patterned substrates. The Langevin model is then shown to not only predict the different experimentally observed temporal scales for morphological observables such as cell area and elongation but also the interplay of morphology with motility that ultimately leads to contact guidance.
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16
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Beeghly GF, Amofa KY, Fischbach C, Kumar S. Regulation of Tumor Invasion by the Physical Microenvironment: Lessons from Breast and Brain Cancer. Annu Rev Biomed Eng 2022; 24:29-59. [PMID: 35119915 DOI: 10.1146/annurev-bioeng-110220-115419] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
The success of anticancer therapies is often limited by heterogeneity within and between tumors. While much attention has been devoted to understanding the intrinsic molecular diversity of tumor cells, the surrounding tissue microenvironment is also highly complex and coevolves with tumor cells to drive clinical outcomes. Here, we propose that diverse types of solid tumors share common physical motifs that change in time and space, serving as universal regulators of malignancy. We use breast cancer and glioblastoma as instructive examples and highlight how invasion in both diseases is driven by the appropriation of structural guidance cues, contact-dependent heterotypic interactions with stromal cells, and elevated interstitial fluid pressure and flow. We discuss how engineering strategies show increasing value for measuring and modeling these physical properties for mechanistic studies. Moreover, engineered systems offer great promise for developing and testing novel therapies that improve patient prognosis by normalizing the physical tumor microenvironment. Expected final online publication date for the Annual Review of Biomedical Engineering, Volume 24 is June 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.
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Affiliation(s)
- Garrett F Beeghly
- Nancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, New York, USA;
| | - Kwasi Y Amofa
- University of California, Berkeley-University of California, San Francisco Graduate Program in Bioengineering, Berkeley, California, USA; .,Department of Bioengineering, University of California, Berkeley, Berkeley, California, USA
| | - Claudia Fischbach
- Nancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, New York, USA; .,Kavli Institute at Cornell for Nanoscale Science, Cornell University, Ithaca, New York, USA
| | - Sanjay Kumar
- University of California, Berkeley-University of California, San Francisco Graduate Program in Bioengineering, Berkeley, California, USA; .,Department of Bioengineering, University of California, Berkeley, Berkeley, California, USA.,Department of Chemical and Biomolecular Engineering, University of California, Berkeley, Berkeley, California, USA.,Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, California, USA
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17
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Predicting Glioblastoma Cellular Motility from In Vivo MRI with a Radiomics Based Regression Model. Cancers (Basel) 2022; 14:cancers14030578. [PMID: 35158845 PMCID: PMC8833801 DOI: 10.3390/cancers14030578] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Revised: 01/16/2022] [Accepted: 01/20/2022] [Indexed: 11/16/2022] Open
Abstract
Simple Summary A diagnosis of glioblastoma carries a uniformly dismal prognosis. Contributing to this is the near certain chance of aggressive tumor spread and recurrence following treatment. Tumor cell motility may provide one way to characterize the tendencies of glioblastomas to spread and recur. We sought to develop a non-invasive technique for assessing tumor cell motility using quantitative features derived from in vivo preoperative magnetic resonance imaging. Our regression model accurately predicted tumor cell motility in a cohort of participants with preoperative imaging who also had mean cellular motility calculated for their resected tumor cells from time-lapse videos. This work establishes the feasibility of non-invasively characterizing the kinetic properties of tumors and could be used to select patients for motility-targeting precision therapies. Abstract Characterizing the motile properties of glioblastoma tumor cells could provide a useful way to predict the spread of tumors and to tailor the therapeutic approach. Radiomics has emerged as a diagnostic tool in the classification of tumor grade, stage, and prognosis. The purpose of this work is to examine the potential of radiomics to predict the motility of glioblastoma cells. Tissue specimens were obtained from 31 patients undergoing surgical resection of glioblastoma. Mean tumor cell motility was calculated from time-lapse videos of specimen cells. Manual segmentation was used to define the border of the enhancing tumor T1-weighted MR images, and 107 radiomics features were extracted from the normalized image volumes. Model parameter coefficients were estimated using the adaptive lasso technique validated with leave-one-out cross validation (LOOCV) and permutation tests. The R-squared value for the predictive model was 0.60 with p-values for each individual parameter estimate less than 0.0001. Permutation test models trained with scrambled motility failed to produce a model that out-performed the model trained on the true data. The results of this work suggest that it is possible for a quantitative MRI feature-based regression model to non-invasively predict the cellular motility of glioblastomas.
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18
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Anticancer Activities of 9-chloro-6-(piperazin-1-yl)-11H-indeno[1,2-c] quinolin-11-one (SJ10) in Glioblastoma Multiforme (GBM) Chemoradioresistant Cell Cycle-Related Oncogenic Signatures. Cancers (Basel) 2022; 14:cancers14010262. [PMID: 35008426 PMCID: PMC8750065 DOI: 10.3390/cancers14010262] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2021] [Revised: 12/23/2021] [Accepted: 12/29/2021] [Indexed: 02/04/2023] Open
Abstract
Simple Summary Glioblastoma multiforme (GBM) remains to be the most frequent malignant tumor of the central nervous system (CNS), which accounts for approximately 54% of all primary brain gliomas. Current treatment modalities for GBM include surgical resection, followed by radiotherapy and chemotherapy with temozolomide (TMZ). However, due to its genetic heterogeneity, GBM tumors always recur, due to treatment reasistance. The aim of this study was to identify molecular gene signatures, responsible for cancer initiation, progression, resistances and to treatment, metastasis, and also evaluate the potency of our novel compounds SJ10 as potential target for CCNB1/CDC42/MAPK7/CD44 oncogenic signatures. Accordingly, we used computational simulation and identify these signatures as regulators of the cell cycle in GBM, which leads to cancer development and metastasis. We also showed the antiproliferative and cytotoxic effects of SJ10 compound against a panel of NCI-60 cancer cell lines. This suggests the potential of the compounds to inhibit CCNB1/CDC42/MAPK7/CD44 in GBM. Abstract Current anticancer treatments are inefficient against glioblastoma multiforme (GBM), which remains one of the most aggressive and lethal cancers. Evidence has shown the presence of glioblastoma stem cells (GSCs), which are chemoradioresistant and associated with high invasive capabilities in normal brain tissues. Moreover, accumulating studies have indicated that radiotherapy contributes to abnormalities in cell cycle checkpoints, including the G1/S and S phases, which may potentially lead to resistance to radiation. Through computational simulations using bioinformatics, we identified several GBM oncogenes that are involved in regulating the cell cycle. Cyclin B1 (CCNB1) is one of the cell cycle-related genes that was found to be upregulated in GBM. Overexpression of CCNB1 was demonstrated to be associated with higher grades, proliferation, and metastasis of GBM. Additionally, increased expression levels of CCNB1 were reported to regulate activation of mitogen-activated protein kinase 7 (MAPK7) in the G2/M phase, which consequently modulates mitosis; additionally, in clinical settings, MAPK7 was demonstrated to promote resistance to temozolomide (TMZ) and poor patient survival. Therefore, MAPK7 is a potential novel drug target due to its dysregulation and association with TMZ resistance in GBM. Herein, we identified MAPK7/extracellular regulated kinase 5 (ERK5) genes as being overexpressed in GBM tumors compared to normal tissues. Moreover, our analysis revealed increased levels of the cell division control protein homolog (CDC42), a protein which is also involved in regulating the cell cycle through the G1 phase in GBM tissues. This therefore suggests crosstalk among CCNB1/CDC42/MAPK7/cluster of differentiation 44 (CD44) oncogenic signatures in GBM through the cell cycle. We further evaluated a newly synthesized small molecule, SJ10, as a potential target agent of the CCNB1/CDC42/MAPK7/CD44 genes through target prediction tools and found that SJ10 was indeed a target compound for the above-mentioned genes; in addition, it displayed inhibitory activities against these oncogenes as observed from molecular docking analysis.
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19
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Sun J, Xu Y, Liu J, Cui H, Cao H, Ren J. PDRG1 promotes the proliferation and migration of GBM cells by the MEK/ERK/CD44 pathway. Cancer Sci 2021; 113:500-516. [PMID: 34812552 PMCID: PMC8819344 DOI: 10.1111/cas.15214] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2021] [Revised: 11/11/2021] [Accepted: 11/19/2021] [Indexed: 01/18/2023] Open
Abstract
P53 and DNA damage‐regulated gene1 (PDRG1) is overexpressed in diverse carcinomas. Here, we discover that PDRG1 is overexpressed in glioblastoma multiforme (GBM). However, the clinical significance, biological role, and underlying molecular mechanisms of PDRG1 in GBM remain unclear. PDRG1 was aberrantly overexpressed in glioma, especially prevalent in GBM, and correlated with poor clinicopathologic features of glioma. The risk score, operational feature curve analysis, Kaplan‐Meier curve, and univariate and multivariate Cox regression analysis indicated that PDRG1 was an independent prognostic indicator and significantly correlates with disease progression of glioma. A prognostic nomogram was constructed to predict the survival risk of individual patients. The function and pathway enrichment analysis of PDRG1 in The Cancer Genome Atlas cohort was performed. PDRG1 knockdown significantly inhibited the migration and proliferation of GBM cells in vitro and in vivo. Transcriptome sequencing analysis of PDRG1 knockdown U‐118 MG(U118) cells indicated that biological regulation adhesion, growth and death, cell motility, cell adhesion molecular and proteoglycans in cancer were significantly enriched. Importantly, we found that the expression of adhesion molecule cluster of differentiation 44 (CD44) was regulated by PDRG1 in GBM. We found that PDRG1 promoted the migration and proliferation of GBM cells via the mitogen‐activated protein kinase kinase (MEK)/extracellular regulated protein kinase (ERK)/CD44 pathway. Our findings provide proof that PDRG1 upregulation predicts progression and poor prognosis in human gliomas, especially in isocitrate dehydrogenase (IDH) wt glioma patients. The study provides new evidence that PDRG1 regulates the expression of CD44 in GBM cells and might promote the migration and proliferation via the MEK/ERK/CD44pathway. PDRG1 might be a novel diagnostic indicator and promising therapeutic target for GBM.
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Affiliation(s)
- Jinmin Sun
- Jiangsu Key Laboratory of Brain Disease Bioinformation, Research Center for Biochemistry and Molecular Biology, Xuzhou Medical University, Xuzhou, China.,Laboratory of Clinical and Experimental Pathology, Department of Pathology, Xuzhou Medical University, Xuzhou, China
| | - Yixin Xu
- Department of General Surgery, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.,Institute of Digestive Diseases, Xuzhou Medical University, Xuzhou, China
| | - Jia Liu
- Department of Pathology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Huiyue Cui
- Jiangsu Key Laboratory of Brain Disease Bioinformation, Research Center for Biochemistry and Molecular Biology, Xuzhou Medical University, Xuzhou, China
| | - Haowei Cao
- Jiangsu Key Laboratory of Brain Disease Bioinformation, Research Center for Biochemistry and Molecular Biology, Xuzhou Medical University, Xuzhou, China
| | - Jing Ren
- Jiangsu Key Laboratory of Brain Disease Bioinformation, Research Center for Biochemistry and Molecular Biology, Xuzhou Medical University, Xuzhou, China
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20
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Effects of substrate stiffness on mast cell migration. Eur J Cell Biol 2021; 100:151178. [PMID: 34555639 DOI: 10.1016/j.ejcb.2021.151178] [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: 05/21/2021] [Revised: 09/13/2021] [Accepted: 09/13/2021] [Indexed: 11/21/2022] Open
Abstract
Mast cells (MCs) play important roles in multiple pathologies, including fibrosis; however, their behaviors in different extracellular matrix (ECM) environments have not been fully elucidated. Accordingly, in this study, the migration of MCs on substrates with different stiffnesses was investigated using time-lapse video microscopy. Our results showed that MCs could appear in round, spindle, and star-like shapes; spindle-shaped cells accounted for 80-90 % of the total observed cells. The migration speed of round cells was significantly lower than that of cells with other shapes. Interestingly, spindle-shaped MCs migrated in a jiggling and wiggling motion between protrusions. The persistence index of MC migration was slightly higher on stiffer substrates. Moreover, we found that there was an intermediate optimal stiffness at which the migration efficiency was the highest. These findings may help to improve our understanding of MC-induced pathologies and the roles of MC migration in the immune system.
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21
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Lei R, Akins EA, Wong KCY, Repina NA, Wolf KJ, Dempsey GE, Schaffer DV, Stahl A, Kumar S. Multiwell Combinatorial Hydrogel Array for High-Throughput Analysis of Cell-ECM Interactions. ACS Biomater Sci Eng 2021; 7:2453-2465. [PMID: 34028263 DOI: 10.1021/acsbiomaterials.1c00065] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
Abstract
Biophysical cues in the extracellular matrix (ECM) regulate cell behavior in a complex, nonlinear, and interdependent manner. To quantify these important regulatory relationships and gain a comprehensive understanding of mechanotransduction, there is a need for high-throughput matrix platforms that enable parallel culture and analysis of cells in various matrix conditions. Here we describe a multiwell hyaluronic acid (HA) platform in which cells are cultured on combinatorial arrays of hydrogels spanning a range of elasticities and adhesivities. Our strategy utilizes orthogonal photopatterning of stiffness and adhesivity gradients, with the stiffness gradient implemented by a programmable light illumination system. The resulting platform allows individual treatment and analysis of each matrix environment while eliminating contributions of haptotaxis and durotaxis. In human mesenchymal stem cells, our platform recapitulates expected relationships between matrix stiffness, adhesivity, and cell mechanosensing. We further applied the platform to show that as integrin ligand density falls, cell adhesion and migration depend more strongly on CD44-mediated interactions with the HA backbone. We anticipate that our system could bear great value for mechanistic discovery and screening where matrix mechanics and adhesivity are expected to influence phenotype.
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Affiliation(s)
- Ruoxing Lei
- Department of Chemistry, Latimer Hall, University of California, Berkeley, Berkeley, California 94720, United States.,Department of Bioengineering, Stanley Hall, University of California, Berkeley, Berkeley, California 94720, United States
| | - Erin A Akins
- Department of Bioengineering, Stanley Hall, University of California, Berkeley, Berkeley, California 94720, United States.,University of California, Berkeley - University of California, San Francisco Graduate Program in Bioengineering, Stanley Hall, Berkeley, California 94720, United States
| | - Kelly C Y Wong
- Department of Bioengineering, Stanley Hall, University of California, Berkeley, Berkeley, California 94720, United States
| | - Nicole A Repina
- Department of Bioengineering, Stanley Hall, University of California, Berkeley, Berkeley, California 94720, United States.,University of California, Berkeley - University of California, San Francisco Graduate Program in Bioengineering, Stanley Hall, Berkeley, California 94720, United States
| | - Kayla J Wolf
- Department of Bioengineering, Stanley Hall, University of California, Berkeley, Berkeley, California 94720, United States.,University of California, Berkeley - University of California, San Francisco Graduate Program in Bioengineering, Stanley Hall, Berkeley, California 94720, United States
| | - Garrett E Dempsey
- Department of Nutritional Sciences and Toxicology, Morgan Hall, University of California, Berkeley, California 94720, United States
| | - David V Schaffer
- Department of Bioengineering, Stanley Hall, University of California, Berkeley, Berkeley, California 94720, United States.,University of California, Berkeley - University of California, San Francisco Graduate Program in Bioengineering, Stanley Hall, Berkeley, California 94720, United States.,Department of Molecular and Cell Biology, Life Sciences Addition, University of California, Berkeley, California 94720, United States.,Department of Chemical and Biomolecular Engineering, Gilman Hall, University of California, Berkeley, Berkeley, California 94720, United States
| | - Andreas Stahl
- University of California, Berkeley - University of California, San Francisco Graduate Program in Bioengineering, Stanley Hall, Berkeley, California 94720, United States.,Department of Nutritional Sciences and Toxicology, Morgan Hall, University of California, Berkeley, California 94720, United States
| | - Sanjay Kumar
- Department of Bioengineering, Stanley Hall, University of California, Berkeley, Berkeley, California 94720, United States.,University of California, Berkeley - University of California, San Francisco Graduate Program in Bioengineering, Stanley Hall, Berkeley, California 94720, United States.,Department of Chemical and Biomolecular Engineering, Gilman Hall, University of California, Berkeley, Berkeley, California 94720, United States.,Department of Bioengineering and Therapeutic Sciences, Byers Hall, University of California, San Francisco, San Francisco, California 94143, United States
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22
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Dey K, Roca E, Ramorino G, Sartore L. Progress in the mechanical modulation of cell functions in tissue engineering. Biomater Sci 2021; 8:7033-7081. [PMID: 33150878 DOI: 10.1039/d0bm01255f] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
In mammals, mechanics at multiple stages-nucleus to cell to ECM-underlie multiple physiological and pathological functions from its development to reproduction to death. Under this inspiration, substantial research has established the role of multiple aspects of mechanics in regulating fundamental cellular processes, including spreading, migration, growth, proliferation, and differentiation. However, our understanding of how these mechanical mechanisms are orchestrated or tuned at different stages to maintain or restore the healthy environment at the tissue or organ level remains largely a mystery. Over the past few decades, research in the mechanical manipulation of the surrounding environment-known as substrate or matrix or scaffold on which, or within which, cells are seeded-has been exceptionally enriched in the field of tissue engineering and regenerative medicine. To do so, traditional tissue engineering aims at recapitulating key mechanical milestones of native ECM into a substrate for guiding the cell fate and functions towards specific tissue regeneration. Despite tremendous progress, a big puzzle that remains is how the cells compute a host of mechanical cues, such as stiffness (elasticity), viscoelasticity, plasticity, non-linear elasticity, anisotropy, mechanical forces, and mechanical memory, into many biological functions in a cooperative, controlled, and safe manner. High throughput understanding of key cellular decisions as well as associated mechanosensitive downstream signaling pathway(s) for executing these decisions in response to mechanical cues, solo or combined, is essential to address this issue. While many reports have been made towards the progress and understanding of mechanical cues-particularly, substrate bulk stiffness and viscoelasticity-in regulating the cellular responses, a complete picture of mechanical cues is lacking. This review highlights a comprehensive view on the mechanical cues that are linked to modulate many cellular functions and consequent tissue functionality. For a very basic understanding, a brief discussion of the key mechanical players of ECM and the principle of mechanotransduction process is outlined. In addition, this review gathers together the most important data on the stiffness of various cells and ECM components as well as various tissues/organs and proposes an associated link from the mechanical perspective that is not yet reported. Finally, beyond addressing the challenges involved in tuning the interplaying mechanical cues in an independent manner, emerging advances in designing biomaterials for tissue engineering are also explored.
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Affiliation(s)
- Kamol Dey
- Department of Applied Chemistry and Chemical Engineering, Faculty of Science, University of Chittagong, Bangladesh
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23
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Gao Y, Wang R, Zhao L, Liu A. Natural polymeric nanocarriers in malignant glioma drug delivery and targeting. J Drug Target 2021; 29:960-973. [PMID: 33745392 DOI: 10.1080/1061186x.2021.1904250] [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] [Indexed: 02/07/2023]
Abstract
Among all central nervous diseases, malignant glioma is a crucial part that deserves more attention since high fatality and disability rate. There are several therapeutic strategies applied to the treatment of malignant glioma, especially certain chemotherapy-related treatments. However, the existence of the blood-brain barrier (BBB) seriously hinders the strategy's progress, so how to escape from the barriers is a fascinating question. Herein, we comprehensively discussed the details of malignant glioma and the BBB's functional morphology and summarized several routes bypassing the BBB. Additionally, since possessing excellent properties for drug delivery, we provided an insight into various promising natural polymeric materials and highlighted their applications in the treatment of malignant glioma.
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Affiliation(s)
- Yuan Gao
- School of Pharmaceutical Sciences, Key Laboratory of Chemical Biology, Ministry of Education, Shandong University, Jinan 250012, China
| | - Rui Wang
- School of Pharmaceutical Sciences, Key Laboratory of Chemical Biology, Ministry of Education, Shandong University, Jinan 250012, China
| | - Lixia Zhao
- Department of Pharmacy, Qilu Hospital of Shandong University, Jinan 250012, China
| | - Anchang Liu
- Department of Pharmacy, Qilu Hospital of Shandong University, Jinan 250012, China
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24
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Pibuel MA, Poodts D, Díaz M, Hajos SE, Lompardía SL. The scrambled story between hyaluronan and glioblastoma. J Biol Chem 2021; 296:100549. [PMID: 33744285 PMCID: PMC8050860 DOI: 10.1016/j.jbc.2021.100549] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2020] [Revised: 03/12/2021] [Accepted: 03/16/2021] [Indexed: 02/06/2023] Open
Abstract
Advances in cancer biology are revealing the importance of the cancer cell microenvironment on tumorigenesis and cancer progression. Hyaluronan (HA), the main glycosaminoglycan in the extracellular matrix, has been associated with the progression of glioblastoma (GBM), the most frequent and lethal primary tumor in the central nervous system, for several decades. However, the mechanisms by which HA impacts GBM properties and processes have been difficult to elucidate. In this review, we provide a comprehensive assessment of the current knowledge on HA's effects on GBM biology, introducing its primary receptors CD44 and RHAMM and the plethora of relevant downstream signaling pathways that can scramble efforts to directly link HA activity to biological outcomes. We consider the complexities of studying an extracellular polymer and the different strategies used to try to capture its function, including 2D and 3D in vitro studies, patient samples, and in vivo models. Given that HA affects not only migration and invasion, but also cell proliferation, adherence, and chemoresistance, we highlight the potential role of HA as a therapeutic target. Finally, we review the different existing approaches to diminish its protumor effects, such as the use of 4-methylumbelliferone, HA oligomers, and hyaluronidases and encourage further research along these lines in order to improve the survival and quality of life of GBM patients.
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Affiliation(s)
- Matías Arturo Pibuel
- Departamento de Microbiología, Inmunología, Biotecnología y Genética, Facultad de Farmacia y Bioquímica, Instituto de Estudios de la Inmunidad Humoral (IDEHU)-CONICET, Universidad de Buenos Aires, Capital Federal, Argentina.
| | - Daniela Poodts
- Departamento de Microbiología, Inmunología, Biotecnología y Genética, Facultad de Farmacia y Bioquímica, Instituto de Estudios de la Inmunidad Humoral (IDEHU)-CONICET, Universidad de Buenos Aires, Capital Federal, Argentina
| | - Mariángeles Díaz
- Instituto de Estudios de la Inmunidad Humoral (IDEHU)-CONICET, Universidad de Buenos Aires, Capital Federal, Argentina
| | - Silvia Elvira Hajos
- Departamento de Microbiología, Inmunología, Biotecnología y Genética, Facultad de Farmacia y Bioquímica, Instituto de Estudios de la Inmunidad Humoral (IDEHU)-CONICET, Universidad de Buenos Aires, Capital Federal, Argentina
| | - Silvina Laura Lompardía
- Departamento de Microbiología, Inmunología, Biotecnología y Genética, Facultad de Farmacia y Bioquímica, Instituto de Estudios de la Inmunidad Humoral (IDEHU)-CONICET, Universidad de Buenos Aires, Capital Federal, Argentina.
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25
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Shellard A, Mayor R. Durotaxis: The Hard Path from In Vitro to In Vivo. Dev Cell 2020; 56:227-239. [PMID: 33290722 DOI: 10.1016/j.devcel.2020.11.019] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2020] [Revised: 09/21/2020] [Accepted: 11/17/2020] [Indexed: 01/21/2023]
Abstract
Durotaxis, the process by which cells follow gradients of extracellular mechanical stiffness, has been proposed as a mechanism driving directed migration. Despite the lack of evidence for its existence in vivo, durotaxis has become an active field of research, focusing on the mechanism by which cells respond to mechanical stimuli from the environment. In this review, we describe the technical and conceptual advances in the study of durotaxis in vitro, discuss to what extent the evidence suggests durotaxis may occur in vivo, and emphasize the urgent need for in vivo demonstration of durotaxis.
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Affiliation(s)
- Adam Shellard
- Department of Cell and Developmental Biology, University College London, Gower Street, London WC1E 6BT, UK
| | - Roberto Mayor
- Department of Cell and Developmental Biology, University College London, Gower Street, London WC1E 6BT, UK.
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26
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Xiao Y, Cui G, Ren X, Hao J, Zhang Y, Yang X, Wang Z, Zhu X, Wang H, Hao C, Duan H. A Novel Four-Gene Signature Associated With Immune Checkpoint for Predicting Prognosis in Lower-Grade Glioma. Front Oncol 2020; 10:605737. [PMID: 33381460 PMCID: PMC7769121 DOI: 10.3389/fonc.2020.605737] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2020] [Accepted: 10/08/2020] [Indexed: 01/28/2023] Open
Abstract
The overall survival of patients with lower grade glioma (LGG) varies greatly, but the current histopathological classification has limitations in predicting patients’ prognosis. Therefore, this study aims to find potential therapeutic target genes and establish a gene signature for predicting the prognosis of LGG. CD44 is a marker of tumor stem cells and has prognostic value in various tumors, but its role in LGG is unclear. By analyzing three glioma datasets from Gene Expression Omnibus (GEO) database, CD44 was upregulated in LGG. We screened 10 CD44-related genes via protein–protein interaction (PPI) network; function enrichment analysis demonstrated that these genes were associated with biological processes and signaling pathways of the tumor; survival analysis showed that four genes (CD44, HYAL2, SPP1, MMP2) were associated with the overall survival (OS) and disease-free survival (DFS)of LGG; a novel four-gene signature was constructed. The prediction model showed good predictive value over 2-, 5-, 8-, and 10-year survival probability in both the development and validation sets. The risk score effectively divided patients into high- and low- risk groups with a distinct outcome. Multivariate analysis confirmed that the risk score and status of IDH were independent prognostic predictors of LGG. Among three LGG subgroups based on the presence of molecular parameters, IDH-mutant gliomas have a favorable OS, especially if combined with 1p/19q codeletion, which further confirmed the distinct biological pattern between three LGG subgroups, and the gene signature is able to divide LGG patients with the same IDH status into high- and low- risk groups. The high-risk group possessed a higher expression of immune checkpoints and was related to the activation of immunosuppressive pathways. Finally, this study provided a convenient tool for predicting patient survival. In summary, the four prognostic genes may be therapeutic targets and prognostic predictors for LGG; this four-gene signature has good prognostic prediction ability and can effectively distinguish high- and low-risk patients. High-risk patients are associated with higher immune checkpoint expression and activation of the immunosuppressive pathway, providing help for screening immunotherapy-sensitive patients.
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Affiliation(s)
- Youchao Xiao
- Department of Neurosurgery, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Gang Cui
- Department of Neurosurgery, The Third Affiliated Hospital of Shandong First Medical University (Affiliated Hospital of Shandong Academy of Medical Sciences), Jinan, China
| | - Xingguang Ren
- Department of Neurosurgery, General Hospital of TISCO, Taiyuan, China
| | - Jiaqi Hao
- Department of Neurosurgery, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Yu Zhang
- Department of Neurosurgery, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Xin Yang
- Department of Neurosurgery, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Zhuangzhuang Wang
- Department of Neurosurgery, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Xiaolin Zhu
- Department of Neurosurgery, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Huan Wang
- Department of Neurosurgery, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Chunyan Hao
- Department of Geriatrics, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Hubin Duan
- Department of Neurosurgery, First Hospital of Shanxi Medical University, Taiyuan, China.,Department of Neurosurgery, Lvliang People's Hospital, Lvliang, China
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27
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Comment on "Expression of CD44 and the survival in glioma: a meta-analysis". Biosci Rep 2020; 40:226608. [PMID: 33030522 PMCID: PMC7593535 DOI: 10.1042/bsr20202812] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2020] [Revised: 10/01/2020] [Accepted: 10/06/2020] [Indexed: 12/27/2022] Open
Abstract
CD44 has been considered as a cancer stem cell marker in various tumors. With great enthusiasm, we read an article written by Wu et al. entitled "Expression of CD44 and the survival in glioma: a meta-analysis" published in Bioscience Reports. The authors performed meta-analyses to study the prognostic significance of CD44 in gliomas, and drew the conclusion that high expression of CD44 may predict poor survival in glioma, particularly in WHO grade II-III gliomas. However, two major defects exist in the present study, which made the meta-analysis on the prognostic significance of CD44 in all gliomas unreliable. In this commentary, we discussed the limitations and significance of the present study.
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28
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Gudbergsson JM, Christensen E, Kostrikov S, Moos T, Duroux M, Kjær A, Johnsen KB, Andresen TL. Conventional Treatment of Glioblastoma Reveals Persistent CD44 + Subpopulations. Mol Neurobiol 2020; 57:3943-3955. [PMID: 32632605 DOI: 10.1007/s12035-020-02004-2] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2020] [Accepted: 06/26/2020] [Indexed: 02/06/2023]
Abstract
Glioblastoma (GBM) is the most frequent and devastating primary tumor of the central nervous system with a median survival of 12 to 15 months after diagnosis. GBM is highly difficult to treat due to its delicate location, inter- and intra-tumoral heterogeneity, and high plasticity in response to treatment. In this study, we intracranially implanted primary GBM cells into mice which underwent conventional GBM treatments, including irradiation, temozolomide, and a combination. We obtained single cell suspensions through a combination of mechanical and enzymatic dissociation of brain tissue and investigated in detail the changes in GBM cells in response to conventional treatments in vivo using multi-color flow cytometry and cluster analysis. CD44 expression was elevated in all treatment groups, which was confirmed by subsequent immunohistochemistry. High CD44 expression was furthermore shown to correlate with poor prognosis of GBM and low-grade glioma (LGG) patients. Together, these results indicate a key role for CD44 in glioma pathogenesis.
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Affiliation(s)
- Johann Mar Gudbergsson
- Neurobiology Research & Drug Delivery, Department of Health Science and Technology, Aalborg University, Fredrik Bajers Vej 3B, 9220, Aalborg, Denmark. .,Center for Nanomedicine and Theranostics, Department of Health Technology, Technical University of Denmark, Produktionstorvet, Building 423, 2800, Kongens Lyngby, Denmark.
| | - Esben Christensen
- Center for Nanomedicine and Theranostics, Department of Health Technology, Technical University of Denmark, Produktionstorvet, Building 423, 2800, Kongens Lyngby, Denmark
| | - Serhii Kostrikov
- Center for Nanomedicine and Theranostics, Department of Health Technology, Technical University of Denmark, Produktionstorvet, Building 423, 2800, Kongens Lyngby, Denmark
| | - Torben Moos
- Neurobiology Research & Drug Delivery, Department of Health Science and Technology, Aalborg University, Fredrik Bajers Vej 3B, 9220, Aalborg, Denmark
| | - Meg Duroux
- Molecular Pharmacology, Department of Health Science and Technology, Aalborg University, Aalborg, Denmark
| | - Andreas Kjær
- Cluster for Molecular Imaging, Department for Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark.,Department of Clinical Physiology, Nuclear Medicine & PET, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Kasper Bendix Johnsen
- Center for Nanomedicine and Theranostics, Department of Health Technology, Technical University of Denmark, Produktionstorvet, Building 423, 2800, Kongens Lyngby, Denmark.
| | - Thomas Lars Andresen
- Center for Nanomedicine and Theranostics, Department of Health Technology, Technical University of Denmark, Produktionstorvet, Building 423, 2800, Kongens Lyngby, Denmark
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29
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Hassn Mesrati M, Behrooz AB, Y. Abuhamad A, Syahir A. Understanding Glioblastoma Biomarkers: Knocking a Mountain with a Hammer. Cells 2020; 9:E1236. [PMID: 32429463 PMCID: PMC7291262 DOI: 10.3390/cells9051236] [Citation(s) in RCA: 42] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2020] [Revised: 03/18/2020] [Accepted: 03/24/2020] [Indexed: 12/14/2022] Open
Abstract
Gliomas are the most frequent and deadly form of human primary brain tumors. Among them, the most common and aggressive type is the high-grade glioblastoma multiforme (GBM), which rapidly grows and renders patients a very poor prognosis. Meanwhile, cancer stem cells (CSCs) have been determined in gliomas and play vital roles in driving tumor growth due to their competency in self-renewal and proliferation. Studies of gliomas have recognized CSCs via specific markers. This review comprehensively examines the current knowledge of the most significant CSCs markers in gliomas in general and in glioblastoma in particular and specifically focuses on their outlook and importance in gliomas CSCs research. We suggest that CSCs should be the superior therapeutic approach by directly targeting the markers. In addition, we highlight the association of these markers with each other in relation to their cascading pathways, and interactions with functional miRNAs, providing the role of the networks axes in glioblastoma signaling pathways.
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Affiliation(s)
| | | | | | - Amir Syahir
- Department of Biochemistry, Faculty of Biotechnology and Biomolecular Sciences, Universiti Putra Malaysia, UPM Serdang 43400, Selangor, Malaysia; (M.H.M.); (A.B.B.); (A.Y.A.)
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30
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A mode of cell adhesion and migration facilitated by CD44-dependent microtentacles. Proc Natl Acad Sci U S A 2020; 117:11432-11443. [PMID: 32381732 DOI: 10.1073/pnas.1914294117] [Citation(s) in RCA: 46] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
The structure and mechanics of many connective tissues are dictated by a collagen-rich extracellular matrix (ECM), where collagen fibers provide topological cues that direct cell migration. However, comparatively little is known about how cells navigate the hyaluronic acid (HA)-rich, nanoporous ECM of the brain, a problem with fundamental implications for development, inflammation, and tumor invasion. Here, we demonstrate that glioblastoma cells adhere to and invade HA-rich matrix using microtentacles (McTNs), which extend tens of micrometers from the cell body and are distinct from filopodia. We observe these structures in continuous culture models and primary patient-derived tumor cells, as well as in synthetic HA matrix and organotypic brain slices. High-magnification and superresolution imaging reveals McTNs are dynamic, CD44-coated tubular protrusions containing microtubules and actin filaments, which respectively drive McTN extension and retraction. Molecular mechanistic studies reveal that McTNs are stabilized by an interplay between microtubule-driven protrusion, actomyosin-driven retraction, and CD44-mediated adhesion, where adhesive and cytoskeletal components are mechanistically coupled by an IQGAP1-CLIP170 complex. McTNs represent a previously unappreciated mechanism through which cells engage nanoporous HA matrix and may represent an important molecular target in physiology and disease.
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31
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Prahl LS, Stanslaski MR, Vargas P, Piel M, Odde DJ. Predicting Confined 1D Cell Migration from Parameters Calibrated to a 2D Motor-Clutch Model. Biophys J 2020; 118:1709-1720. [PMID: 32145191 PMCID: PMC7136340 DOI: 10.1016/j.bpj.2020.01.048] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2019] [Revised: 01/22/2020] [Accepted: 01/27/2020] [Indexed: 12/12/2022] Open
Abstract
Biological tissues contain micrometer-scale gaps and pores, including those found within extracellular matrix fiber networks, between tightly packed cells, and between blood vessels or nerve bundles and their associated basement membranes. These spaces restrict cell motion to a single-spatial dimension (1D), a feature that is not captured in traditional in vitro cell migration assays performed on flat, unconfined two-dimensional (2D) substrates. Mechanical confinement can variably influence cell migration behaviors, and it is presently unclear whether the mechanisms used for migration in 2D unconfined environments are relevant in 1D confined environments. Here, we assessed whether a cell migration simulator and associated parameters previously measured for cells on 2D unconfined compliant hydrogels could predict 1D confined cell migration in microfluidic channels. We manufactured microfluidic devices with narrow channels (60-μm2 rectangular cross-sectional area) and tracked human glioma cells that spontaneously migrated within channels. Cell velocities (vexp = 0.51 ± 0.02 μm min-1) were comparable to brain tumor expansion rates measured in the clinic. Using motor-clutch model parameters estimated from cells on unconfined 2D planar hydrogel substrates, simulations predicted similar migration velocities (vsim = 0.37 ± 0.04 μm min-1) and also predicted the effects of drugs targeting the motor-clutch system or cytoskeletal assembly. These results are consistent with glioma cells utilizing a motor-clutch system to migrate in confined environments.
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Affiliation(s)
- Louis S Prahl
- Department of Biomedical Engineering, University of Minnesota, Minneapolis, Minnesota
| | - Maria R Stanslaski
- Department of Biomedical Engineering, University of Minnesota, Minneapolis, Minnesota
| | - Pablo Vargas
- Institut Curie, PSL Research University, CNRS UMR 144 and Institut Pierre-Gilles de Gennes, PSL Research University, Paris, France; INSERM U932 Immunité et Cancer, Institut Curie, PSL Research University, Paris, France
| | - Matthieu Piel
- Institut Curie, PSL Research University, CNRS UMR 144 and Institut Pierre-Gilles de Gennes, PSL Research University, Paris, France
| | - David J Odde
- Department of Biomedical Engineering, University of Minnesota, Minneapolis, Minnesota; Physical Sciences-Oncology Center, University of Minnesota, Minneapolis, Minnesota.
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32
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Si D, Yin F, Peng J, Zhang G. High Expression of CD44 Predicts a Poor Prognosis in Glioblastomas. Cancer Manag Res 2020; 12:769-775. [PMID: 32099472 PMCID: PMC7006859 DOI: 10.2147/cmar.s233423] [Citation(s) in RCA: 40] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2019] [Accepted: 01/15/2020] [Indexed: 12/15/2022] Open
Abstract
Purpose Glioblastoma multiforme (GBM) is the most common of the malignant and invasive gliomas. High grade glioma is prone to relapse and has a poor prognosis. However, there is a big difference in terms of survival time with the same grade glioma. Cluster of differentiation 44 (CD44) is an indicator of cancer stem cells with abnormal expression in many malignant tumors, however the expression in GBM is unknown. Methods Tissue specimens were collected from 62 GBM patients to investigate CD44 expression and their prognosis was followed-up. Chi-square test was used to identify the association between CD44 staining and clinical characteristics of the patients. Kaplan-Meier analysis was performed to draw survival curves and Cox regression analysis to confirm the independent prognostic factors of GBM patients. Results In total, 38.7% (24/62) of the patients had high CD44 staining. The median survival times were 3.5 months and 18.5 months for high and low expressions of CD44, respectively. Kaplan-Meier analysis revealed that tumor location, the extent of tumor resection, adjuvant chemotherapy, and CD44 expression were related to overall survival time of GBM patients (P<0.05). Multivariate analysis showed that non-usage of adjuvant chemotherapy (HR=4.097, 95% CI=1.489-11.277, P=0.006) and CD44 overexpression (HR=3.216, 95% CI=1.452-7.125, P=0.004) were independent unfavorable prognostic factors for GBM patients. Conclusion The results demonstrate that high expression of CD44 acts as a poor prognosis indicator in GBM patients.
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Affiliation(s)
- Daolin Si
- Department of Pediatric Neurology, Xiangya Hospital, Central South University, Changsha, Hunan Province 410008, People's Republic of China
| | - Fei Yin
- Department of Pediatric Neurology, Xiangya Hospital, Central South University, Changsha, Hunan Province 410008, People's Republic of China
| | - Jing Peng
- Department of Pediatric Neurology, Xiangya Hospital, Central South University, Changsha, Hunan Province 410008, People's Republic of China
| | - Guangying Zhang
- Department of Oncology, Xiangya Hospital, Central South University, Changsha, Hunan Province 410008, People's Republic of China
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33
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Prahl LS, Bangasser PF, Stopfer LE, Hemmat M, White FM, Rosenfeld SS, Odde DJ. Microtubule-Based Control of Motor-Clutch System Mechanics in Glioma Cell Migration. Cell Rep 2019; 25:2591-2604.e8. [PMID: 30485822 PMCID: PMC6345402 DOI: 10.1016/j.celrep.2018.10.101] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2018] [Revised: 09/25/2018] [Accepted: 10/26/2018] [Indexed: 11/30/2022] Open
Abstract
Microtubule-targeting agents (MTAs) are widely used chemotherapy drugs capable of disrupting microtubule-dependent cellular functions, such as division and migration. We show that two clinically approved MTAs, paclitaxel and vinblastine, each suppress stiffness-sensitive migration and polarization characteristic of human glioma cells on compliant hydrogels. MTAs influence microtubule dynamics and cell traction forces by nearly opposite mechanisms, the latter of which can be explained by a combination of changes in myosin motor and adhesion clutch number. Our results support a microtubule-dependent signaling-based model for controlling traction forces through a motor-clutch mechanism, rather than microtubules directly relieving tension within F-actin and adhesions. Computational simulations of cell migration suggest that increasing protrusion number also impairs stiffness-sensitive migration, consistent with experimental MTA effects. These results provide a theoretical basis for the role of microtubules and mechanisms of MTAs in controlling cell migration. Prahl et al. examine the mechanisms by which microtubule-targeting drugs inhibit glioma cell migration. They find that dynamic microtubules regulate actin-based protrusion dynamics that facilitate cell polarity and migration. Changes in net microtubule assembly alter cell traction forces via signaling-based regulation of a motor-clutch system.
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Affiliation(s)
- Louis S Prahl
- Department of Biomedical Engineering, University of Minnesota, Minneapolis, MN 55455, USA; Physical Sciences-Oncology Center, University of Minnesota, Minneapolis, MN 55455, USA
| | - Patrick F Bangasser
- Department of Biomedical Engineering, University of Minnesota, Minneapolis, MN 55455, USA; Physical Sciences-Oncology Center, University of Minnesota, Minneapolis, MN 55455, USA
| | - Lauren E Stopfer
- Department of Biological Engineering, Koch Institute for Integrative Cancer Research and Physical Sciences-Oncology Center, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Mahya Hemmat
- Department of Biomedical Engineering, University of Minnesota, Minneapolis, MN 55455, USA; Department of Mechanical Engineering, University of Minnesota, Minneapolis, MN 55455, USA
| | - Forest M White
- Department of Biological Engineering, Koch Institute for Integrative Cancer Research and Physical Sciences-Oncology Center, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Steven S Rosenfeld
- Physical Sciences-Oncology Center, University of Minnesota, Minneapolis, MN 55455, USA; Brain Tumor and Neuro-Oncology Center and Department of Cancer Biology, Cleveland Clinic, Cleveland, OH 44195, USA
| | - David J Odde
- Department of Biomedical Engineering, University of Minnesota, Minneapolis, MN 55455, USA; Physical Sciences-Oncology Center, University of Minnesota, Minneapolis, MN 55455, USA.
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Hou JC, Shamsan GA, Anderson SM, McMahon MM, Tyler LP, Castle BT, Heussner RK, Provenzano PP, Keefe DF, Barocas VH, Odde DJ. Modeling distributed forces within cell adhesions of varying size on continuous substrates. Cytoskeleton (Hoboken) 2019; 76:571-585. [PMID: 31512404 DOI: 10.1002/cm.21561] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2019] [Revised: 08/13/2019] [Accepted: 09/05/2019] [Indexed: 11/11/2022]
Abstract
Cell migration and traction are essential to many biological phenomena, and one of their key features is sensitivity to substrate stiffness, which biophysical models, such as the motor-clutch model and the cell migration simulator can predict and explain. However, these models have not accounted for the finite size of adhesions, the spatial distribution of forces within adhesions. Here, we derive an expression that relates varying adhesion radius ( R) and spatial distribution of force within an adhesion (described by s) to the effective substrate stiffness ( κsub ), as a function of the Young's modulus of the substrate ( E Y ), which yields the relation, κ sub = R s E Y , for two-dimensional cell cultures. Experimentally, we found that a cone-shaped force distribution ( s = 1.05) can describe the observed displacements of hydrogels deformed by adherent U251 glioma cells. Also, we found that the experimentally observed adhesion radius increases linearly with the cell protrusion force, consistent with the predictions of the motor-clutch model with spatially distributed clutches. We also found that, theoretically, the influence of one protrusion on another through a continuous elastic environment is negligible. Overall, we conclude cells can potentially control their own interpretation of the mechanics of the environment by controlling adhesion size and spatial distribution of forces within an adhesion.
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Affiliation(s)
- Jay C Hou
- Department of Biomedical Engineering, University of Minnesota, Minneapolis, Minnesota
| | - Ghaidan A Shamsan
- Department of Biomedical Engineering, University of Minnesota, Minneapolis, Minnesota
| | - Sarah M Anderson
- Department of Biomedical Engineering, University of Minnesota, Minneapolis, Minnesota
| | - Mariah M McMahon
- Department of Biomedical Engineering, University of Minnesota, Minneapolis, Minnesota
| | - Liam P Tyler
- Department of Computer Science & Engineering, University of Minnesota, Minneapolis, Minnesota
| | - Brian T Castle
- Department of Biomedical Engineering, University of Minnesota, Minneapolis, Minnesota
| | - Rachel K Heussner
- Department of Biomedical Engineering, University of Minnesota, Minneapolis, Minnesota
| | - Paolo P Provenzano
- Department of Biomedical Engineering, University of Minnesota, Minneapolis, Minnesota
| | - Daniel F Keefe
- Department of Computer Science & Engineering, University of Minnesota, Minneapolis, Minnesota
| | - Victor H Barocas
- Department of Biomedical Engineering, University of Minnesota, Minneapolis, Minnesota
| | - David J Odde
- Department of Biomedical Engineering, University of Minnesota, Minneapolis, Minnesota
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Hou C, Ishi Y, Motegi H, Okamoto M, Ou Y, Chen J, Yamaguchi S. Overexpression of CD44 is associated with a poor prognosis in grade II/III gliomas. J Neurooncol 2019; 145:201-210. [PMID: 31506754 DOI: 10.1007/s11060-019-03288-8] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2019] [Accepted: 09/05/2019] [Indexed: 02/05/2023]
Abstract
PURPOSE Overexpression of CD44 has been detected in many types of tumor tissues. Moreover, CD44 is recognized as a cancer stem cell marker for many cancers. However, the prognostic value of CD44 for glioma patients has not yet been clarified. The authors tried to explore the impact of CD44 expression on grade II/III glioma patients. METHODS To assess the RNA expression levels of CD44 in glioma tissues and normal brain tissues, meta-analyses were conducted in the online Oncomine database. The mRNA expression levels of CD44, CD44s, and CD44v2-v10 in 112 grade II/III glioma patients in Hokkaido University Hospital (HUH) were detected by qPCR. The RNA-seq data and clinical data of grade II/III glioma patients were obtained from The Cancer Genome Atlas (TCGA) and the Chinese Glioma Genome Atlas (CGGA) databases. RESULTS Based on the Oncomine database, CD44 has significantly high expression in glioma tissues as compared with normal tissues. We explored the clinical relevance of CD44 mRNA expression based on the HUH cohorts, the TCGA cohorts, and the CGGA cohorts. In survival analysis, high mRNA expression of CD44 was correlated with poor overall survival and poor progression-free survival in grade II/III glioma patients. Multivariate Cox regression analyses confirmed CD44 as an independent prognostic factor for grade II/III glioma patients. CONCLUSIONS The present study suggests that overexpression of CD44 is associated with a poor prognosis for grade II/III glioma patients. Moreover, our findings suggest that CD44 could serve as a prognostic biomarker in grade II/III glioma patients.
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Affiliation(s)
- Chongxian Hou
- Department of Neurosurgery, Faculty of Medicine, Hokkaido University, North 15 West 7, Kita-ku, Sapporo, 060-8638, Japan
| | - Yukitomo Ishi
- Department of Neurosurgery, Faculty of Medicine, Hokkaido University, North 15 West 7, Kita-ku, Sapporo, 060-8638, Japan
| | - Hiroaki Motegi
- Department of Neurosurgery, Faculty of Medicine, Hokkaido University, North 15 West 7, Kita-ku, Sapporo, 060-8638, Japan
| | - Michinari Okamoto
- Department of Neurosurgery, Faculty of Medicine, Hokkaido University, North 15 West 7, Kita-ku, Sapporo, 060-8638, Japan
| | - Yafei Ou
- Graduate School of Information Science and Technology, Hokkaido University, Sapporo, 060-0814, Japan
| | - Jiawei Chen
- Shantou University Medical College, Shantou, 515041, Guangdong, China
| | - Shigeru Yamaguchi
- Department of Neurosurgery, Faculty of Medicine, Hokkaido University, North 15 West 7, Kita-ku, Sapporo, 060-8638, Japan.
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Shamsan GA, Odde DJ. Emerging technologies in mechanotransduction research. Curr Opin Chem Biol 2019; 53:125-130. [PMID: 31618703 DOI: 10.1016/j.cbpa.2019.08.002] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2019] [Revised: 08/07/2019] [Accepted: 08/12/2019] [Indexed: 12/25/2022]
Abstract
Mechanotransduction research focuses on understanding how cells sense and respond to mechanical stimuli by converting mechanical signals into biochemical and biological responses. Cells have been shown to respond to mechanical stimuli through specialized biological machinery such as adhesion complexes. Research in the last two decades helped in identifying key components of cellular mechanotransduction. In recent years, integrated approaches, which are highlighted here, are emerging to provide new insights into the mechanistic and theoretical underpinnings of mechanotransduction. In particular, mathematical modeling has helped elucidate the mechanism underlining ligand spacing and distribution sensing, as well as sensing viscoelastic properties of the extracellular matrix. In addition, molecular tension sensors have helped dissect the forces involved in mechanotransduction at high spatial and temporal resolutions.
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Affiliation(s)
- Ghaidan A Shamsan
- Department of Biomedical Engineering, University of Minnesota, Minneapolis, MN 55455, USA
| | - David J Odde
- Department of Biomedical Engineering, University of Minnesota, Minneapolis, MN 55455, USA.
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37
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Liu CJ, Shamsan GA, Akkin T, Odde DJ. Glioma Cell Migration Dynamics in Brain Tissue Assessed by Multimodal Optical Imaging. Biophys J 2019; 117:1179-1188. [PMID: 31474305 PMCID: PMC6818150 DOI: 10.1016/j.bpj.2019.08.010] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2019] [Revised: 07/28/2019] [Accepted: 08/12/2019] [Indexed: 02/06/2023] Open
Abstract
Glioblastoma is a primary malignant brain tumor characterized by highly infiltrative glioma cells. Vasculature and white matter tracts are considered to be the preferred and fastest routes for glioma invasion through brain tissue. In this study, we systematically quantified the routes and motility of the U251 human glioblastoma cell line in mouse brain slices by multimodal imaging. Specifically, we used polarization-sensitive optical coherence tomography to delineate nerve fiber tracts while confocal fluorescence microscopy was used to image cell migration and brain vasculature. Somewhat surprisingly, we found that in mouse brain slices, U251 glioma cells do not follow white matter tracts but rather preferentially migrate along vasculature in both gray and white matter. In addition, U251 cell motility is ∼2-fold higher in gray matter than in white matter (91 vs. 43 μm2/h), with a substantial fraction (44%) of cells in both regions invading without close association with vasculature. Interestingly, within both regions, the rates of migration for the perivascular and televascular routes of invasion were indistinguishable. Furthermore, by imaging of local vasculature deformation dynamics during cell migration, we found that U251 cells are capable of exerting traction forces that locally pull on their environment, suggesting the applicability of a "motor-clutch"-based model for migration in vivo. Overall, by quantitatively analyzing the migration dynamics along the diverse pathways followed by invading U251 glioma cells as observed by our multimodal imaging approach, our studies suggest that effective antiinvasive strategies will need to simultaneously limit parallel routes of both perivascular and televascular invasion through both gray and white matter.
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Affiliation(s)
- Chao J Liu
- Department of Biomedical Engineering, University of Minnesota, Minneapolis, Minnesota
| | - Ghaidan A Shamsan
- Department of Biomedical Engineering, University of Minnesota, Minneapolis, Minnesota
| | - Taner Akkin
- Department of Biomedical Engineering, University of Minnesota, Minneapolis, Minnesota
| | - David J Odde
- Department of Biomedical Engineering, University of Minnesota, Minneapolis, Minnesota.
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Wang J, Liu J, Sun G, Meng H, Wang J, Guan Y, Yin Y, Zhao Z, Dong X, Yin S, Li H, Cheng Y, Wu H, Wu A, Yu X, Chen L. Glioblastoma extracellular vesicles induce the tumour-promoting transformation of neural stem cells. Cancer Lett 2019; 466:1-12. [PMID: 31521694 DOI: 10.1016/j.canlet.2019.09.004] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2019] [Revised: 09/06/2019] [Accepted: 09/09/2019] [Indexed: 12/15/2022]
Abstract
Recurrent glioblastomas are frequently found near subventricular zone (SVZ) areas of the brain where neural stem cells (NSCs) reside, and glioblastoma-derived extracellular vesicles (EVs) are reported to play important roles in tumour micro-environment, but the details are not clear. Here, we investigated the possibility that NSCs are involved in glioblastoma relapse mediated by glioblastoma-derived EVs. We studied changes to NSCs by adding glioblastoma-derived EVs into a culture system of NSCs, and found that NSCs differentiated into a type of tumour-promoting cell. These transformed cells had distinguished proliferation activity, a high migration rate, and clone-forming ability revealed by CCK-8, wound healing and soft agar clone formation assays, respectively. In vivo assays indicated that these cells could accelerate tumour formation by Ln229 cells in nude mice. Moreover, to explore the mechanisms underlying NSC transformation, single cell transcriptome sequencing was performed; our results suggest that several key genes such as S100B, CXCL14, EFEMP1, SCRG1, GLIPR1, HMGA1 and CD44 and dysregulated signalling may be important for the transformation of NSCs. It is also indicated that NSCs may be involved in glioblastoma recurrence through EV release by glioblastoma in this work. This could help to illuminate the mechanism of glioblastoma relapse, which occurs in a brief period after surgical excision, and contribute to finding new ways to treat this disease.
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Affiliation(s)
- Jian Wang
- Department of Neurosurgery, Chinese People's Liberation Army of China (PLA) General Hospital, Medical School of Chinese PLA, Institute of Neurosurgery of Chinese PLA, Beijing, 100853, China; Department of Neurosurgery, Hospital of Eighty-first Army Group of Chinese PLA, Zhang Jiakou, 075000, China
| | - Jialin Liu
- Department of Neurosurgery, Chinese People's Liberation Army of China (PLA) General Hospital, Medical School of Chinese PLA, Institute of Neurosurgery of Chinese PLA, Beijing, 100853, China
| | - Guochen Sun
- Department of Neurosurgery, Chinese People's Liberation Army of China (PLA) General Hospital, Medical School of Chinese PLA, Institute of Neurosurgery of Chinese PLA, Beijing, 100853, China
| | - Hengxing Meng
- Department of Neurosurgery, Chinese People's Liberation Army of China (PLA) General Hospital, Medical School of Chinese PLA, Institute of Neurosurgery of Chinese PLA, Beijing, 100853, China
| | - Jiayin Wang
- Department of Medicine, Surgery, and Cell Biology, The University of Oklahoma Health Sciences Center, Stanton L. Young Biomedical Research Center, Oklahoma City, OK, 73104, USA
| | - Yunqian Guan
- Department of Cell Biology, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
| | - Yiheng Yin
- Department of Neurosurgery, Chinese People's Liberation Army of China (PLA) General Hospital, Medical School of Chinese PLA, Institute of Neurosurgery of Chinese PLA, Beijing, 100853, China
| | - Zhenyu Zhao
- Department of Neurosurgery, Chinese People's Liberation Army of China (PLA) General Hospital, Medical School of Chinese PLA, Institute of Neurosurgery of Chinese PLA, Beijing, 100853, China
| | - Xiying Dong
- Department of Neurosurgery, Chinese People's Liberation Army of China (PLA) General Hospital, Medical School of Chinese PLA, Institute of Neurosurgery of Chinese PLA, Beijing, 100853, China
| | - Shangjiong Yin
- Department of Neurosurgery, Hospital of Eighty-first Army Group of Chinese PLA, Zhang Jiakou, 075000, China
| | - Hongwei Li
- Department of Pathology, Hospital of Eighty-first Army Group of Chinese PLA, Zhang Jiakou, 075000, China
| | - Yuefei Cheng
- Department of Neurosurgery, Hospital of Eighty-first Army Group of Chinese PLA, Zhang Jiakou, 075000, China
| | - Hao Wu
- Department of Neurosurgery, Chinese People's Liberation Army of China (PLA) General Hospital, Medical School of Chinese PLA, Institute of Neurosurgery of Chinese PLA, Beijing, 100853, China
| | - Anhua Wu
- Department of Neurosurgery, The First Hospital of China Medical University, Shenyang, 110122, China.
| | - Xinguang Yu
- Department of Neurosurgery, Chinese People's Liberation Army of China (PLA) General Hospital, Medical School of Chinese PLA, Institute of Neurosurgery of Chinese PLA, Beijing, 100853, China.
| | - Ling Chen
- Department of Neurosurgery, Chinese People's Liberation Army of China (PLA) General Hospital, Medical School of Chinese PLA, Institute of Neurosurgery of Chinese PLA, Beijing, 100853, China.
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Current and Future Trends on Diagnosis and Prognosis of Glioblastoma: From Molecular Biology to Proteomics. Cells 2019; 8:cells8080863. [PMID: 31405017 PMCID: PMC6721640 DOI: 10.3390/cells8080863] [Citation(s) in RCA: 140] [Impact Index Per Article: 28.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2019] [Revised: 08/02/2019] [Accepted: 08/06/2019] [Indexed: 02/07/2023] Open
Abstract
Glioblastoma multiforme is the most aggressive malignant tumor of the central nervous system. Due to the absence of effective pharmacological and surgical treatments, the identification of early diagnostic and prognostic biomarkers is of key importance to improve the survival rate of patients and to develop new personalized treatments. On these bases, the aim of this review article is to summarize the current knowledge regarding the application of molecular biology and proteomics techniques for the identification of novel biomarkers through the analysis of different biological samples obtained from glioblastoma patients, including DNA, microRNAs, proteins, small molecules, circulating tumor cells, extracellular vesicles, etc. Both benefits and pitfalls of molecular biology and proteomics analyses are discussed, including the different mass spectrometry-based analytical techniques, highlighting how these investigation strategies are powerful tools to study the biology of glioblastoma, as well as to develop advanced methods for the management of this pathology.
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40
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Abstract
Cell migration is the physical movement of cells and is responsible for the extensive cellular invasion and metastasis that occur in high-grade tumors. Motivated by decades of direct observation of cell migration via light microscopy, theoretical models have emerged to capture various aspects of the fundamental physical phenomena underlying cell migration. Yet, the motility mechanisms actually used by tumor cells during invasion are still poorly understood, as is the role of cellular interactions with the extracellular environment. In this chapter, we review key physical principles of cytoskeletal self-assembly and force generation, membrane tension, biological adhesion, hydrostatic and osmotic pressures, and their integration in mathematical models of cell migration. With the goal of modeling-driven cancer therapy, we provide examples to guide oncologists and physical scientists in developing next-generation models to predict disease progression and treatment.
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Affiliation(s)
- Louis S Prahl
- Department of Biomedical Engineering and Physical Sciences-Oncology Center, University of Minnesota-Twin Cities, Minneapolis, MN, USA.
| | - David J Odde
- Department of Biomedical Engineering and Physical Sciences-Oncology Center, University of Minnesota-Twin Cities, Minneapolis, MN, USA
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41
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Siam A, Baker M, Amit L, Regev G, Rabner A, Najar RA, Bentata M, Dahan S, Cohen K, Araten S, Nevo Y, Kay G, Mandel-Gutfreund Y, Salton M. Regulation of alternative splicing by p300-mediated acetylation of splicing factors. RNA (NEW YORK, N.Y.) 2019; 25:813-824. [PMID: 30988101 PMCID: PMC6573785 DOI: 10.1261/rna.069856.118] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/06/2018] [Accepted: 04/08/2019] [Indexed: 05/23/2023]
Abstract
Splicing of precursor mRNA (pre-mRNA) is an important regulatory step in gene expression. Recent evidence points to a regulatory role of chromatin-related proteins in alternative splicing regulation. Using an unbiased approach, we have identified the acetyltransferase p300 as a key chromatin-related regulator of alternative splicing. p300 promotes genome-wide exon inclusion in both a transcription-dependent and -independent manner. Using CD44 as a paradigm, we found that p300 regulates alternative splicing by modulating the binding of splicing factors to pre-mRNA. Using a tethering strategy, we found that binding of p300 to the CD44 promoter region promotes CD44v exon inclusion independently of RNAPII transcriptional elongation rate. Promoter-bound p300 regulates alternative splicing by acetylating splicing factors, leading to exclusion of hnRNP M from CD44 pre-mRNA and activation of Sam68. p300-mediated CD44 alternative splicing reduces cell motility and promotes epithelial features. Our findings reveal a chromatin-related mechanism of alternative splicing regulation and demonstrate its impact on cellular function.
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Affiliation(s)
- Ahmad Siam
- Department of Biochemistry and Molecular Biology, The Institute for Medical Research Israel-Canada, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem 91120, Israel
| | - Mai Baker
- Department of Biochemistry and Molecular Biology, The Institute for Medical Research Israel-Canada, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem 91120, Israel
| | - Leah Amit
- Department of Biochemistry and Molecular Biology, The Institute for Medical Research Israel-Canada, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem 91120, Israel
| | - Gal Regev
- Department of Biochemistry and Molecular Biology, The Institute for Medical Research Israel-Canada, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem 91120, Israel
| | - Alona Rabner
- Faculty of Biology, Technion-Israel Institute of Technology, Haifa 32000, Israel
| | - Rauf Ahmad Najar
- Department of Biochemistry and Molecular Biology, The Institute for Medical Research Israel-Canada, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem 91120, Israel
| | - Mercedes Bentata
- Department of Biochemistry and Molecular Biology, The Institute for Medical Research Israel-Canada, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem 91120, Israel
| | - Sara Dahan
- Department of Biochemistry and Molecular Biology, The Institute for Medical Research Israel-Canada, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem 91120, Israel
| | - Klil Cohen
- Department of Biochemistry and Molecular Biology, The Institute for Medical Research Israel-Canada, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem 91120, Israel
| | - Sarah Araten
- Department of Biochemistry and Molecular Biology, The Institute for Medical Research Israel-Canada, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem 91120, Israel
| | - Yuval Nevo
- Department of Biochemistry and Molecular Biology, The Institute for Medical Research Israel-Canada, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem 91120, Israel
| | - Gillian Kay
- Department of Biochemistry and Molecular Biology, The Institute for Medical Research Israel-Canada, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem 91120, Israel
| | | | - Maayan Salton
- Department of Biochemistry and Molecular Biology, The Institute for Medical Research Israel-Canada, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem 91120, Israel
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The Cytoskeleton-A Complex Interacting Meshwork. Cells 2019; 8:cells8040362. [PMID: 31003495 PMCID: PMC6523135 DOI: 10.3390/cells8040362] [Citation(s) in RCA: 179] [Impact Index Per Article: 35.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2019] [Revised: 04/15/2019] [Accepted: 04/15/2019] [Indexed: 12/22/2022] Open
Abstract
The cytoskeleton of animal cells is one of the most complicated and functionally versatile structures, involved in processes such as endocytosis, cell division, intra-cellular transport, motility, force transmission, reaction to external forces, adhesion and preservation, and adaptation of cell shape. These functions are mediated by three classical cytoskeletal filament types, as follows: Actin, microtubules, and intermediate filaments. The named filaments form a network that is highly structured and dynamic, responding to external and internal cues with a quick reorganization that is orchestrated on the time scale of minutes and has to be tightly regulated. Especially in brain tumors, the cytoskeleton plays an important role in spreading and migration of tumor cells. As the cytoskeletal organization and regulation is complex and many-faceted, this review aims to summarize the findings about cytoskeletal filament types, including substructures formed by them, such as lamellipodia, stress fibers, and interactions between intermediate filaments, microtubules and actin. Additionally, crucial regulatory aspects of the cytoskeletal filaments and the formed substructures are discussed and integrated into the concepts of cell motility. Even though little is known about the impact of cytoskeletal alterations on the progress of glioma, a final point discussed will be the impact of established cytoskeletal alterations in the cellular behavior and invasion of glioma.
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43
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Hong Y, Qin H, Li Y, Zhang Y, Zhuang X, Liu L, Lu K, Li L, Deng X, Liu F, Shi S, Liu G. FNDC3B circular RNA promotes the migration and invasion of gastric cancer cells via the regulation of E-cadherin and CD44 expression. J Cell Physiol 2019; 234:19895-19910. [PMID: 30963578 PMCID: PMC6766960 DOI: 10.1002/jcp.28588] [Citation(s) in RCA: 78] [Impact Index Per Article: 15.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2018] [Revised: 03/06/2019] [Accepted: 03/14/2019] [Indexed: 01/06/2023]
Abstract
Circular RNAs (circRNAs) are a new class of RNAs, and many studies have identified thousands of circRNAs in tumor cells. Fibronectin type III domain‐containing protein 3B (FNDC3B) circular RNA (circFNDC3B, circBase ID: hsa_circ_0006156) circularizes with exons 5 and 6. Gibson Assembly DNA technology was used to construct a circFNDC3B expression vector without a splice site and restriction enzyme site. We showed that circFNDC3B increased migration and invasion in gastric cancer (GC). Ectopic expression of circFNDC3B reduced the level of E‐cadherin protein to promote the epithelial–mesenchymal transition in GC. RNA immunoprecipitation assays and RNA pull‐down assays confirmed that circFNC3B increased CD44 expression, which was associated with cell adhesion, via the formation of a ternary complex of circFNDC3B‐IGF2BP3‐CD44 mRNA. These results indicated that circFNDC3B was associated with the degree of malignancy to highlight the specific characteristics of cell invasion.
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Affiliation(s)
- Yuling Hong
- Department of Basic Medicine, Medical College of Xiamen University, Xiamen, Fujian, China.,Department of Cancer Prevention and Rehabilitation, Huayan Science and Technology Cancer Prevention and Rehabilitation Research Center, School of Pharmaceutical Sciences Xiamen University, Fujian, China
| | - Haifeng Qin
- Department of Pulmonary Neoplasm Internal Medicine, The 307th Hospital of Military Chinese People's Liberation Army, Beijing, China
| | - Yin Li
- Department of Medical Examination, Xiamen International Travel Healthcare Center, Xiamen, Fujian, China
| | - Yuhai Zhang
- Department of Basic Medicine, Medical College of Xiamen University, Xiamen, Fujian, China
| | - Xunrong Zhuang
- Department of Orthopedics, The Second Affiliated Hospital of Fujian Medical University, Fujian, China
| | - Lei Liu
- Department of Cancer Prevention and Rehabilitation, Huayan Science and Technology Cancer Prevention and Rehabilitation Research Center, School of Pharmaceutical Sciences Xiamen University, Fujian, China
| | - Kun Lu
- Department of Basic Medicine, Medical College of Xiamen University, Xiamen, Fujian, China
| | - Long Li
- Department of Orthopedics, The Second Affiliated Hospital of Fujian Medical University, Fujian, China
| | - Xiaoling Deng
- Department of Basic Medicine, Medical College of Xiamen University, Xiamen, Fujian, China
| | - Fan Liu
- Department of Basic Medicine, Medical College of Xiamen University, Xiamen, Fujian, China
| | - Songlin Shi
- Department of Basic Medicine, Medical College of Xiamen University, Xiamen, Fujian, China
| | - Guoyan Liu
- Department of Gastrointestinal Surgery, Zhongshan Hospital of Xiamen University, Xiamen, Fujian, China.,Department of Basic Medicine, Medical College of Xiamen University, Xiamen, Fujian, China.,Department of Cancer Prevention and Rehabilitation, Huayan Science and Technology Cancer Prevention and Rehabilitation Research Center, School of Pharmaceutical Sciences Xiamen University, Fujian, China
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44
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Wang WY, Davidson CD, Lin D, Baker BM. Actomyosin contractility-dependent matrix stretch and recoil induces rapid cell migration. Nat Commun 2019; 10:1186. [PMID: 30862791 PMCID: PMC6414652 DOI: 10.1038/s41467-019-09121-0] [Citation(s) in RCA: 77] [Impact Index Per Article: 15.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2018] [Accepted: 02/04/2019] [Indexed: 01/28/2023] Open
Abstract
Cells select from a diverse repertoire of migration strategies. Recent developments in tunable biomaterials have helped identify how extracellular matrix properties influence migration, however, many settings lack the fibrous architecture characteristic of native tissues. To investigate migration in fibrous contexts, we independently varied the alignment and stiffness of synthetic 3D fiber matrices and identified two phenotypically distinct migration modes. In contrast to stiff matrices where cells migrated continuously in a traditional mesenchymal fashion, cells in deformable matrices stretched matrix fibers to store elastic energy; subsequent adhesion failure triggered sudden matrix recoil and rapid cell translocation. Across a variety of cell types, traction force measurements revealed a relationship between cell contractility and the matrix stiffness where this migration mode occurred optimally. Given the prevalence of fibrous tissues, an understanding of how matrix structure and mechanics influences migration could improve strategies to recruit repair cells to wound sites or inhibit cancer metastasis.
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Affiliation(s)
- William Y Wang
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, 48109, USA
| | | | - Daphne Lin
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Brendon M Baker
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, 48109, USA.
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45
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Chen X, Pan C, Xu C, Sun Y, Geng Y, Kong L, Xiao X, Zhao Z, Zhou W, Huang L, Song Y, Zhang L. Identification of survival‑associated key genes and long non‑coding RNAs in glioblastoma multiforme by weighted gene co‑expression network analysis. Int J Mol Med 2019; 43:1709-1722. [PMID: 30816427 PMCID: PMC6414176 DOI: 10.3892/ijmm.2019.4101] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2018] [Accepted: 02/14/2019] [Indexed: 11/06/2022] Open
Abstract
Glioblastoma multiforme (GBM) is the most common and aggressive primary malignant brain tumour. However, the causes of GBM are not clear, and the prognosis remains poor. The aim of the present study was to elucidate the key coding genes and long non‑coding RNAs (lncRNAs) associated with the survival time of GBM patients by obtaining the RNA expression profiles from the Chinese Glioma Genome Atlas database and conducting weighted gene co‑expression network analysis. Modules associated with overall survival (OS) were identified, and Gene Ontology and pathway enrichment analyses were performed. The hub genes of these modules were validated via survival analysis, while the biological functions of crucial lncRNAs were also analysed in the publicly available data. The results identified a survival‑associated module with 195 key genes. Among them, 33 key genes were demonstrated to be associated with OS, and the majority of these were involved in extracellular matrix‑associated and tyrosine kinase receptor signalling pathways. Furthermore, LOC541471 was identified as an OS‑associated lncRNA, and was reported to be involved in the oxidative phosphorylation of GBM with pleckstrin‑2. These findings may significantly enhance our understanding on the aetiology and underlying molecular events of GBM, while the identified candidate genes may serve as novel prognostic markers and potential therapeutic targets for GBM.
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Affiliation(s)
- Xin Chen
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100050, P.R. China
| | - Changcun Pan
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100050, P.R. China
| | - Cheng Xu
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100050, P.R. China
| | - Yu Sun
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100050, P.R. China
| | - Yibo Geng
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100050, P.R. China
| | - Lu Kong
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100050, P.R. China
| | - Xiong Xiao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100050, P.R. China
| | - Zitong Zhao
- State Key Laboratory of Molecular Oncology, National Cancer Center, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, P.R. China
| | - Wei Zhou
- State Key Laboratory of Molecular Oncology, National Cancer Center, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, P.R. China
| | - Lijie Huang
- State Key Laboratory of Molecular Oncology, National Cancer Center, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, P.R. China
| | - Yongmei Song
- State Key Laboratory of Molecular Oncology, National Cancer Center, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, P.R. China
| | - Liwei Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100050, P.R. China
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Mair DB, Ames HM, Li R. Mechanisms of invasion and motility of high-grade gliomas in the brain. Mol Biol Cell 2018; 29:2509-2515. [PMID: 30325290 PMCID: PMC6254577 DOI: 10.1091/mbc.e18-02-0123] [Citation(s) in RCA: 43] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2018] [Revised: 06/04/2018] [Accepted: 08/10/2018] [Indexed: 11/30/2022] Open
Abstract
High-grade gliomas are especially difficult tumors to treat due to their invasive behavior. This has led to extensive research focusing on arresting glioma cell migration. Cell migration involves the sensing of a migratory cue, followed by polarization in the direction of the cue, and reorganization of the actin cytoskeleton to allow for a protrusive leading edge and a contractile trailing edge. Transmission of these forces to produce motility also requires adhesive interactions of the cell with the extracellular microenvironment. In glioma cells, transmembrane receptors such as CD44 and integrins bind the cell to the surrounding extracellular matrix that provides a substrate on which the cell can exert the requisite forces for cell motility. These various essential parts of the migratory machinery are potential targets to halt glioma cell invasion. In this review, we discuss the mechanisms of glioma cell migration and how they may be targeted in anti-invasion therapies.
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Affiliation(s)
- Devin B. Mair
- Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205
| | - Heather M. Ames
- Department of Pathology, University of Maryland School of Medicine, Baltimore, MD 21201
| | - Rong Li
- Department of Cell Biology, Johns Hopkins University School of Medicine, Baltimore, MD 21205
- Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD 21218
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47
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Davoudi S, Chin CY, Cooke MJ, Tam RY, Shoichet MS, Gilbert PM. Muscle stem cell intramuscular delivery within hyaluronan methylcellulose improves engraftment efficiency and dispersion. Biomaterials 2018; 173:34-46. [DOI: 10.1016/j.biomaterials.2018.04.048] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2018] [Revised: 03/21/2018] [Accepted: 04/24/2018] [Indexed: 12/25/2022]
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Luzhansky ID, Schwartz AD, Cohen JD, MacMunn JP, Barney LE, Jansen LE, Peyton SR. Anomalously diffusing and persistently migrating cells in 2D and 3D culture environments. APL Bioeng 2018; 2:026112. [PMID: 31069309 PMCID: PMC6324209 DOI: 10.1063/1.5019196] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2017] [Accepted: 05/28/2018] [Indexed: 12/17/2022] Open
Abstract
Appropriately chosen descriptive models of cell migration in biomaterials will allow researchers to characterize and ultimately predict the movement of cells in engineered systems for a variety of applications in tissue engineering. The persistent random walk (PRW) model accurately describes cell migration on two-dimensional (2D) substrates. However, this model inherently cannot describe subdiffusive cell movement, i.e., migration paths in which the root mean square displacement increases more slowly than the square root of the time interval. Subdiffusivity is a common characteristic of cells moving in confined environments, such as three-dimensional (3D) porous scaffolds, hydrogel networks, and in vivo tissues. We demonstrate that a generalized anomalous diffusion (AD) model, which uses a simple power law to relate the mean square displacement to time, more accurately captures individual cell migration paths across a range of engineered 2D and 3D environments than does the more commonly used PRW model. We used the AD model parameters to distinguish cell movement profiles on substrates with different chemokinetic factors, geometries (2D vs 3D), substrate adhesivities, and compliances. Although the two models performed with equal precision for superdiffusive cells, we suggest a simple AD model, in lieu of PRW, to describe cell trajectories in populations with a significant subdiffusive fraction, such as cells in confined, 3D environments.
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Affiliation(s)
- Igor D. Luzhansky
- Department of Chemical Engineering, University of Massachusetts Amherst, Amherst, Massachusetts 01003, USA
| | - Alyssa D. Schwartz
- Department of Chemical Engineering, University of Massachusetts Amherst, Amherst, Massachusetts 01003, USA
| | - Joshua D. Cohen
- Department of Biomedical Engineering, The Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, USA
| | - John P. MacMunn
- Department of Chemical Engineering, University of Massachusetts Amherst, Amherst, Massachusetts 01003, USA
| | - Lauren E. Barney
- Department of Chemical Engineering, University of Massachusetts Amherst, Amherst, Massachusetts 01003, USA
| | - Lauren E. Jansen
- Department of Chemical Engineering, University of Massachusetts Amherst, Amherst, Massachusetts 01003, USA
| | - Shelly R. Peyton
- Department of Chemical Engineering, University of Massachusetts Amherst, Amherst, Massachusetts 01003, USA
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Glowacka WK, Jain H, Okura M, Maimaitiming A, Mamatjan Y, Nejad R, Farooq H, Taylor MD, Aldape K, Kongkham P. 5-Hydroxymethylcytosine preferentially targets genes upregulated in isocitrate dehydrogenase 1 mutant high-grade glioma. Acta Neuropathol 2018; 135:617-634. [PMID: 29428975 PMCID: PMC5978937 DOI: 10.1007/s00401-018-1821-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2017] [Revised: 01/18/2018] [Accepted: 02/07/2018] [Indexed: 01/12/2023]
Abstract
Gliomas demonstrate epigenetic dysregulation exemplified by the Glioma CpG Island Methylator Phenotype (G-CIMP) seen in IDH1 mutant tumors. 5-Hydroxymethylcytosine (5hmC) is implicated in glioma pathogenesis; however, its role in IDH1 mutant gliomas is incompletely understood. To characterize 5hmC in IDH1 mutant gliomas further, we examine 5hmC in a cohort of IDH1 mutant and wild-type high-grade gliomas (HGG) using a quantitative locus-specific approach. Regions demonstrating high 5hmC abundance and differentially hydroxymethylated regions (DHMR) enrich for enhancers implicated in glioma pathogenesis. Among these regions, IDH1 mutant tumors possess greater 5hmC compared to wild type. 5hmC contributes to overall methylation status of G-CIMP genes. 5hmC targeting gene body regions correlates significantly with increased gene expression. In particular, a strong correlation between increased 5hmC and increased gene expression is identified for genes highly expressed in the IDH1 mutant cohort. Overall, locus-specific gain of 5hmC targeting regulatory regions and associated with overexpressed genes suggests a significant role for 5hmC in IDH1 mutant HGG.
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Klank RL, Rosenfeld SS, Odde DJ. A Brownian dynamics tumor progression simulator with application to glioblastoma. CONVERGENT SCIENCE PHYSICAL ONCOLOGY 2018; 4:015001. [PMID: 30627438 PMCID: PMC6322960 DOI: 10.1088/2057-1739/aa9e6e] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023]
Abstract
Tumor progression modeling offers the potential to predict tumor-spreading behavior to improve prognostic accuracy and guide therapy development. Common simulation methods include continuous reaction-diffusion (RD) approaches that capture mean spatio-temporal tumor spreading behavior and discrete agent-based (AB) approaches which capture individual cell events such as proliferation or migration. The brain cancer glioblastoma (GBM) is especially appropriate for such proliferation-migration modeling approaches because tumor cells seldom metastasize outside of the central nervous system and cells are both highly proliferative and migratory. In glioblastoma research, current RD estimates of proliferation and migration parameters are derived from computed tomography or magnetic resonance images. However, these estimates of glioblastoma cell migration rates, modeled as a diffusion coefficient, are approximately 1-2 orders of magnitude larger than single-cell measurements in animal models of this disease. To identify possible sources for this discrepancy, we evaluated the fundamental RD simulation assumptions that cells are point-like structures that can overlap. To give cells physical size (~10 μm), we used a Brownian dynamics approach that simulates individual single-cell diffusive migration, growth, and proliferation activity via a gridless, off-lattice, AB method where cells can be prohibited from overlapping each other. We found that for realistic single-cell parameter growth and migration rates, a non-overlapping model gives rise to a jammed configuration in the center of the tumor and a biased outward diffusion of cells in the tumor periphery, creating a quasi-ballistic advancing tumor front. The simulations demonstrate that a fast-progressing tumor can result from minimally diffusive cells, but at a rate that is still dependent on single-cell diffusive migration rates. Thus, modeling with the assumption of physically-grounded volume conservation can account for the apparent discrepancy between estimated and measured diffusion of GBM cells and provide a new theoretical framework that naturally links single-cell growth and migration dynamics to tumor-level progression.
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Affiliation(s)
- Rebecca L Klank
- Department of Biomedical Engineering, University of Minnesota, Minneapolis, MN, United States of America
| | - Steven S Rosenfeld
- Burkhardt Brain Tumor Center, Department of Cancer Biology, Cleveland Clinic, Cleveland, OH, United States of America
| | - David J Odde
- Department of Biomedical Engineering, University of Minnesota, Minneapolis, MN, United States of America
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