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Vishnoi M, Dereli Z, Yin Z, Kong EK, Kinali M, Thapa K, Babur O, Yun K, Abdelfattah N, Li X, Bozorgui B, Rostomily RC, Korkut A. A prognostic matrix code defines functional glioblastoma phenotypes and niches. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.06.06.543903. [PMID: 37333072 PMCID: PMC10274725 DOI: 10.1101/2023.06.06.543903] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/20/2023]
Abstract
Interactions among tumor, immune and vascular niches play major roles in driving glioblastoma (GBM) malignancy and treatment responses. The composition, heterogeneity, and localization of extracellular core matrix proteins (CMPs) that mediate such interactions, however, are not well understood. Here, we characterize functional and clinical relevance of genes encoding CMPs in GBM at bulk, single cell, and spatial anatomical resolution. We identify a "matrix code" for genes encoding CMPs whose expression levels categorize GBM tumors into matrisome-high and matrisome-low groups that correlate with worse and better survival, respectively, of patients. The matrisome enrichment is associated with specific driver oncogenic alterations, mesenchymal state, infiltration of pro-tumor immune cells and immune checkpoint gene expression. Anatomical and single cell transcriptome analyses indicate that matrisome gene expression is enriched in vascular and leading edge/infiltrative anatomic structures that are known to harbor glioma stem cells driving GBM progression. Finally, we identified a 17-gene matrisome signature that retains and further refines the prognostic value of genes encoding CMPs and, importantly, potentially predicts responses to PD1 blockade in clinical trials for GBM. The matrisome gene expression profiles may provide biomarkers of functionally relevant GBM niches that contribute to mesenchymal-immune cross talk and patient stratification to optimize treatment responses.
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Affiliation(s)
- Monika Vishnoi
- Department of Neurosurgery, Houston Methodist Research Institute, Houston, TX, 77030 USA
- Department of Neurosurgery, University of Washington School of Medicine, Seattle WA, 98195
| | - Zeynep Dereli
- Department of Bioinformatics and Computational Biology, MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Zheng Yin
- Department of Systems Medicine and Bioengineering, Houston Methodist Neal Cancer Center, Houston, TX, 77030 USA
| | - Elisabeth K. Kong
- Department of Bioinformatics and Computational Biology, MD Anderson Cancer Center, Houston, TX 77030, USA
- Department of Statistics, Rice University, Houston, TX, 77030, USA
| | - Meric Kinali
- Computer Science, College of Science and Mathematics, University of Massachusetts Boston, Boston, MA, 02125
| | - Kisan Thapa
- Computer Science, College of Science and Mathematics, University of Massachusetts Boston, Boston, MA, 02125
| | - Ozgun Babur
- Computer Science, College of Science and Mathematics, University of Massachusetts Boston, Boston, MA, 02125
| | - Kyuson Yun
- Department of Neurology, Houston Methodist Research Institute, Houston, TX, 77030 USA
- Department of Neurology, Weill Cornell Medical School, New York NY, 10065
| | - Nourhan Abdelfattah
- Department of Neurology, Houston Methodist Research Institute, Houston, TX, 77030 USA
- Department of Neurology, Weill Cornell Medical School, New York NY, 10065
| | - Xubin Li
- Department of Bioinformatics and Computational Biology, MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Behnaz Bozorgui
- Department of Bioinformatics and Computational Biology, MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Robert C. Rostomily
- Department of Neurosurgery, Houston Methodist Research Institute, Houston, TX, 77030 USA
- Department of Neurosurgery, University of Washington School of Medicine, Seattle WA, 98195
- Department of Neurosurgery, Weill Cornell Medical School, New York NY, 10065
| | - Anil Korkut
- Department of Bioinformatics and Computational Biology, MD Anderson Cancer Center, Houston, TX 77030, USA
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Dong XD, Li Y, Li Y, Sun C, Liu SX, Duan H, Cui R, Zhong Q, Mou YG, Wen L, Yang B, Zeng MS, Luo MH, Zhang H. EphA2 is a functional entry receptor for HCMV infection of glioblastoma cells. PLoS Pathog 2023; 19:e1011304. [PMID: 37146061 DOI: 10.1371/journal.ppat.1011304] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Revised: 05/17/2023] [Accepted: 03/20/2023] [Indexed: 05/07/2023] Open
Abstract
Human cytomegalovirus (HCMV) infection is associated with human glioblastoma, the most common and aggressive primary brain tumor, but the underlying infection mechanism has not been fully demonstrated. Here, we show that EphA2 was upregulated in glioblastoma and correlated with the poor prognosis of the patients. EphA2 silencing inhibits, whereas overexpression promotes HCMV infection, establishing EphA2 as a crucial cell factor for HCMV infection of glioblastoma cells. Mechanistically, EphA2 binds to HCMV gH/gL complex to mediate membrane fusion. Importantly, the HCMV infection was inhibited by the treatment of inhibitor or antibody targeting EphA2 in glioblastoma cells. Furthermore, HCMV infection was also impaired in optimal glioblastoma organoids by EphA2 inhibitor. Taken together, we propose EphA2 as a crucial cell factor for HCMV infection in glioblastoma cells and a potential target for intervention.
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Affiliation(s)
- Xiao-Dong Dong
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Yan Li
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, China
- Department of Pathology, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Ying Li
- MOE Key Laboratory of Tropical Disease Control, Shenzhen Centre for Infection and Immunity Studies (CIIS), School of Medicine, Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Cong Sun
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Shang-Xin Liu
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Hao Duan
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Run Cui
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Qian Zhong
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Yong-Gao Mou
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Le Wen
- State Key Laboratory of Virology, CAS Center for Excellence in Brain Science and Intelligence Technology, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, China
- The Joint Center of Translational Precision Medicine, Guangzhou Institute of Pediatrics, Guangzhou Women and Children Medical Center; Wuhan Institute of Virology, Chinese Academy of Sciences, China
| | - Bo Yang
- State Key Laboratory of Virology, CAS Center for Excellence in Brain Science and Intelligence Technology, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, China
| | - Mu-Sheng Zeng
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Min-Hua Luo
- State Key Laboratory of Virology, CAS Center for Excellence in Brain Science and Intelligence Technology, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, China
| | - Hua Zhang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, China
- MOE Key Laboratory of Tropical Disease Control, Shenzhen Centre for Infection and Immunity Studies (CIIS), School of Medicine, Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong, China
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3
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Low JY, Laiho M. Caveolae-Associated Molecules, Tumor Stroma, and Cancer Drug Resistance: Current Findings and Future Perspectives. Cancers (Basel) 2022; 14:cancers14030589. [PMID: 35158857 PMCID: PMC8833326 DOI: 10.3390/cancers14030589] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Revised: 01/21/2022] [Accepted: 01/22/2022] [Indexed: 02/04/2023] Open
Abstract
Simple Summary Cell membranes contain small invaginations called caveolae. They are a specialized lipid domain and orchestrate cellular signaling events, mechanoprotection, and lipid homeostasis. Formation of the caveolae depends on two classes of proteins, the caveolins and cavins, which form large complexes that allow their self-assembly into caveolae. Loss of either of these two proteins leads to distortion of the caveolae structure and disruption of many physiological processes that affect diseases of the muscle, metabolic states governing lipids, and the glucose balance as well as cancers. In cancers, the expression of caveolins and cavins is heterogenous, and they undergo alterations both in the tumors and the surrounding tumor microenvironment stromal cells. Remarkably, their expression and function has been associated with resistance to many cancer drugs. Here, we summarize the current knowledge of the resistance mechanisms and how this knowledge could be applied into the clinic in future. Abstract The discovery of small, “cave-like” invaginations at the plasma membrane, called caveola, has opened up a new and exciting research area in health and diseases revolving around this cellular ultrastructure. Caveolae are rich in cholesterol and orchestrate cellular signaling events. Within caveola, the caveola-associated proteins, caveolins and cavins, are critical components for the formation of these lipid rafts, their dynamics, and cellular pathophysiology. Their alterations underlie human diseases such as lipodystrophy, muscular dystrophy, cardiovascular disease, and diabetes. The expression of caveolins and cavins is modulated in tumors and in tumor stroma, and their alterations are connected with cancer progression and treatment resistance. To date, although substantial breakthroughs in cancer drug development have been made, drug resistance remains a problem leading to treatment failures and challenging translation and bench-to-bedside research. Here, we summarize the current progress in understanding cancer drug resistance in the context of caveola-associated molecules and tumor stroma and discuss how we can potentially design therapeutic avenues to target these molecules in order to overcome treatment resistance.
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Affiliation(s)
- Jin-Yih Low
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA;
- Correspondence: ; Tel.: +1-410-502-9748; Fax: +1-410-502-2821
| | - Marikki Laiho
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA;
- Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
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Moriconi C, Civita P, Neto C, Pilkington GJ, Gumbleton M. Caveolin-1, a Key Mediator Across Multiple Pathways in Glioblastoma and an Independent Negative Biomarker of Patient Survival. Front Oncol 2021; 11:701933. [PMID: 34490102 PMCID: PMC8417742 DOI: 10.3389/fonc.2021.701933] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2021] [Accepted: 07/28/2021] [Indexed: 12/13/2022] Open
Abstract
Glioblastoma (GB) remains an aggressive malignancy with an extremely poor prognosis. Discovering new candidate drug targets for GB remains an unmet medical need. Caveolin-1 (Cav-1) has been shown to act variously as both a tumour suppressor and tumour promoter in many cancers. The implications of Cav-1 expression in GB remains poorly understood. Using clinical and genomic databases we examined the relationship between tumour Cav-1 gene expression (including its spatial distribution) and clinical pathological parameters of the GB tumour and survival probability in a TCGA cohort (n=155) and CGGA cohort (n=220) of GB patients. High expression of Cav-1 represented a significant independent predictor of shortened survival (HR = 2.985, 5.1 vs 14.9 months) with a greater statistically significant impact in female patients and in the Proneural and Mesenchymal GB subtypes. High Cav-1 expression correlated with other factors associated with poor prognosis: IDH w/t status, high histological tumour grade and low KPS score. A total of 4879 differentially expressed genes (DEGs) in the GB tumour were found to correlate with Cav-1 expression (either positively or negatively). Pathway enrichment analysis highlighted an over-representation of these DEGs to certain biological pathways. Focusing on those that lie within a framework of epithelial to mesenchymal transition and tumour cell migration and invasion we identified 27 of these DEGs. We then examined the prognostic value of Cav-1 when used in combination with any of these 27 genes and identified a subset of combinations (with Cav-1) indicative of co-operative synergistic mechanisms of action. Overall, the work has confirmed Cav-1 can serve as an independent prognostic marker in GB, but also augment prognosis when used in combination with a panel of biomarkers or clinicopathologic parameters. Moreover, Cav-1 appears to be linked to many signalling entities within the GB tumour and as such this work begins to substantiate Cav-1 or its associated signalling partners as candidate target for GB new drug discovery.
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Affiliation(s)
- Chiara Moriconi
- School of Pharmacy and Pharmaceutical Sciences, College of Biomedical and Life Sciences, Cardiff University, Cardiff, United Kingdom
- Department of Pathology and Cell Biology, Columbia University, New York Presbyterian Hospital, New York, NY, United States
| | - Prospero Civita
- School of Pharmacy and Pharmaceutical Sciences, College of Biomedical and Life Sciences, Cardiff University, Cardiff, United Kingdom
- Brain Tumour Research Centre, School of Pharmacy & Biomedical Sciences, University of Portsmouth, Portsmouth, United Kingdom
| | - Catia Neto
- School of Pharmacy and Pharmaceutical Sciences, College of Biomedical and Life Sciences, Cardiff University, Cardiff, United Kingdom
| | - Geoffrey J. Pilkington
- School of Pharmacy and Pharmaceutical Sciences, College of Biomedical and Life Sciences, Cardiff University, Cardiff, United Kingdom
- Brain Tumour Research Centre, School of Pharmacy & Biomedical Sciences, University of Portsmouth, Portsmouth, United Kingdom
- Department of Basic and Clinical Neuroscience, Division of Neuroscience, Institute of Psychiatry & Neurology, King’s College London, London, United Kingdom
| | - Mark Gumbleton
- School of Pharmacy and Pharmaceutical Sciences, College of Biomedical and Life Sciences, Cardiff University, Cardiff, United Kingdom
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Carlson JC, Cantu Gutierrez M, Lozzi B, Huang-Hobbs E, Turner WD, Tepe B, Zhang Y, Herman AM, Rao G, Creighton CJ, Wythe JD, Deneen B. Identification of diverse tumor endothelial cell populations in malignant glioma. Neuro Oncol 2021; 23:932-944. [PMID: 33367832 DOI: 10.1093/neuonc/noaa297] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Glioblastoma is the most common and aggressive type of primary brain tumor, as most patients succumb to the disease less than two years after diagnosis. Critically, studies demonstrate that glioma recruits surrounding blood vessels, while some work suggests that tumor stem cells themselves directly differentiate into endothelial cells, yet the molecular and cellular dynamics of the endothelium in glioma are poorly characterized. The goal of this study was to establish molecular and morphological benchmarks for tumor associated vessels (TAVs) and tumor derived endothelial cells (TDECs) during glioblastoma progression. METHODS Using In-Utero Electroporation and CRISPR/Cas9 genome engineering to generate a native, immunocompetent mouse model of glioma, we characterized vascular-tumor dynamics in three dimensions during tumor progression. We employed bulk and single-cell RNA-Sequencing to elucidate the relationship between TAVs and TDECs. We confirmed our findings in a patient derived orthotopic xenograft (PDOX) model. RESULTS Using a mouse model of glioma, we identified progressive alteration of vessel function and morphogenesis over time. We also showed in our mouse model that TDECs are a rare subpopulation that contributes to vessels within the tumor, albeit to a limited degree. Furthermore, transcriptional profiling demonstrates that both TAVs and TDECs are molecularly distinct, and both populations feature extensive molecular heterogeneity. Finally, the distinct molecular signatures of these heterogeneous populations are also present in human glioma. CONCLUSIONS Our findings show extensive endothelial heterogeneity within the tumor and tumor microenvironment and provide insights into the diverse cellular and molecular mechanisms that drive glioma vascularization and angiogenesis during tumorigenesis.
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Affiliation(s)
- Jeff C Carlson
- Program in Developmental Biology, Baylor College of Medicine, Houston, Texas.,Center for Cell and Gene Therapy, Baylor College of Medicine, Houston, Texas
| | - Manuel Cantu Gutierrez
- Program in Developmental Biology, Baylor College of Medicine, Houston, Texas.,Department of Molecular Physiology and Biophysics, Baylor College of Medicine, Houston, Texas.,Cardiovascular Research Institute, Baylor College of Medicine, Houston, Texas
| | - Brittney Lozzi
- Center for Cell and Gene Therapy, Baylor College of Medicine, Houston, Texas
| | - Emmet Huang-Hobbs
- Center for Cell and Gene Therapy, Baylor College of Medicine, Houston, Texas.,The Integrative Molecular and Biomedical Sciences Graduate Program, Baylor College of Medicine, Houston, Texas
| | - Williamson D Turner
- Department of Molecular Physiology and Biophysics, Baylor College of Medicine, Houston, Texas.,Cardiovascular Research Institute, Baylor College of Medicine, Houston, Texas.,Graduate Program in Translational Biology and Molecular Medicine, Baylor College of Medicine, Houston, Texas
| | - Burak Tepe
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas
| | - Yiqun Zhang
- Dan L Duncan Cancer Center, Division of Biostatistics, Baylor College of Medicine, Houston, Texas
| | - Alexander M Herman
- Department of Molecular Physiology and Biophysics, Baylor College of Medicine, Houston, Texas.,Cardiovascular Research Institute, Baylor College of Medicine, Houston, Texas
| | - Ganesh Rao
- Department of Neurosurgery, Baylor College of Medicine, Houston, Texas
| | - Chad J Creighton
- Dan L Duncan Cancer Center, Division of Biostatistics, Baylor College of Medicine, Houston, Texas.,Department of Medicine, Baylor College of Medicine, Houston, Texas
| | - Joshua D Wythe
- Program in Developmental Biology, Baylor College of Medicine, Houston, Texas.,Department of Molecular Physiology and Biophysics, Baylor College of Medicine, Houston, Texas.,Cardiovascular Research Institute, Baylor College of Medicine, Houston, Texas.,Graduate Program in Translational Biology and Molecular Medicine, Baylor College of Medicine, Houston, Texas
| | - Benjamin Deneen
- Program in Developmental Biology, Baylor College of Medicine, Houston, Texas.,Center for Cell and Gene Therapy, Baylor College of Medicine, Houston, Texas.,Department of Neurosurgery, Baylor College of Medicine, Houston, Texas
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Pu W, Qiu J, Nassar ZD, Shaw PN, McMahon KA, Ferguson C, Parton RG, Riggins GJ, Harris JM, Parat MO. A role for caveola-forming proteins caveolin-1 and CAVIN1 in the pro-invasive response of glioblastoma to osmotic and hydrostatic pressure. J Cell Mol Med 2020; 24:3724-3738. [PMID: 32065471 PMCID: PMC7131935 DOI: 10.1111/jcmm.15076] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2019] [Revised: 01/28/2020] [Accepted: 01/29/2020] [Indexed: 12/27/2022] Open
Abstract
In solid tumours, elevated interstitial fluid pressure (osmotic and hydrostatic pressure) is a barrier to drug delivery and correlates with poor prognosis. Glioblastoma (GBM) further experience compressive force when growing within a space limited by the skull. Caveolae are proposed to play mechanosensing roles, and caveola‐forming proteins are overexpressed in GBM. We asked whether caveolae mediate the GBM response to osmotic pressure. We evaluated in vitro the influence of spontaneous or experimental down‐regulation of caveola‐forming proteins (caveolin‐1, CAVIN1) on the proteolytic profile and invasiveness of GBM cells in response to osmotic pressure. In response to osmotic pressure, GBM cell lines expressing caveola‐forming proteins up‐regulated plasminogen activator (uPA) and/or matrix metalloproteinases (MMPs), some EMT markers and increased their in vitro invasion potential. Down‐regulation of caveola‐forming proteins impaired this response and prevented hyperosmolarity‐induced mRNA expression of the water channel aquaporin 1. CRISPR ablation of caveola‐forming proteins further lowered expression of matrix proteases and EMT markers in response to hydrostatic pressure, as a model of mechanical force. GBM respond to pressure by increasing matrix‐degrading enzyme production, mesenchymal phenotype and invasion. Caveola‐forming proteins mediate, at least in part, the pro‐invasive response of GBM to pressure. This may represent a novel target in GBM treatment.
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Affiliation(s)
- Wenjun Pu
- School of Pharmacy, The University of Queensland, Brisbane, Queensland, Australia
| | - Jiawen Qiu
- School of Pharmacy, The University of Queensland, Brisbane, Queensland, Australia
| | - Zeyad D Nassar
- School of Medicine and Freemasons Foundation Centre for Men's Health, South Australian Health and Medical Research Institute, University of Adelaide, Adelaide, South Australia, Australia
| | - Paul N Shaw
- School of Pharmacy, The University of Queensland, Brisbane, Queensland, Australia
| | - Kerrie-Ann McMahon
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, Australia
| | - Charles Ferguson
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, Australia
| | - Robert G Parton
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, Australia.,Centre for Microscopy and Microanalysis, The University of Queensland, Brisbane, Queensland, Australia
| | - Gregory J Riggins
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Jonathan M Harris
- Institute of Health Biomedical Innovation, Queensland University of Technology, Brisbane, Queensland, Australia
| | - Marie-Odile Parat
- School of Pharmacy, The University of Queensland, Brisbane, Queensland, Australia
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Matrix protease production, epithelial-to-mesenchymal transition marker expression and invasion of glioblastoma cells in response to osmotic or hydrostatic pressure. Sci Rep 2020; 10:2634. [PMID: 32060379 PMCID: PMC7021835 DOI: 10.1038/s41598-020-59462-w] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2019] [Accepted: 01/27/2020] [Indexed: 11/16/2022] Open
Abstract
Both hydrostatic and osmotic pressures are altered in the tumour microenvironment. Glioblastoma (GBM) is a brain tumour with high invasiveness and poor prognosis. We hypothesized that physical and osmotic forces regulate glioblastoma (GBM) invasiveness. The osmotic pressure of GBM cell culture medium was adjusted using sodium chloride or water. Alternatively, cells were subjected to increased hydrostatic force. The proteolytic profile and epithelial–mesenchymal transition (EMT) were investigated using zymography and real-time qPCR. The EMT markers assessed were Snail-1, Snail-2, N-cadherin, Twist and vimentin. Invasion was investigated in vitro using extracellular matrix-coated Transwell inserts. In response to osmotic and mechanical pressure, GBM cell lines U87 and U251 and patient-derived neural oncospheres upregulated the expression of urokinase-type plasminogen activator (uPA) and/or matrix metalloproteinases (MMPs) as well as some of the EMT markers tested. The adherent cell lines invaded more when placed in media of increased osmolality. Therefore, GBM respond to osmotic or mechanical pressure by increasing matrix degrading enzyme production, and adopting a phenotype reminiscent of EMT. Better understanding the molecular and cellular mechanisms by which increased pressure promotes GBM invasiveness may help to develop innovative therapeutic approaches.
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