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Loginova N, Aniskin D, Timashev P, Ulasov I, Kharwar RK. GBM Immunotherapy: Macrophage Impacts. Immunol Invest 2024:1-22. [PMID: 38634572 DOI: 10.1080/08820139.2024.2337022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/19/2024]
Abstract
BACKGROUND Glioblastoma (GBM) is an extremely aggressive form of brain tumor with low survival rates. Current treatments such as chemotherapy, radiation, and surgery are problematic due to tumor growth, invasion, and tumor microenvironment. GBM cells are resistant to these standard treatments, and the heterogeneity of the tumor makes it difficult to find a universal approach. Progression of GBM and acquisition of resistance to therapy are due to the complex interplay between tumor cells and the TME. A significant portion of the TME consists of an inflammatory infiltrate, with microglia and macrophages being the predominant cells. METHODS Analysis of the literature data over a course of 5 years suggest that the tumor-associated macrophages (TAMs) are capable of releasing cytokines and growth factors that promote tumor proliferation, survival, and metastasis while inhibiting immune cell function at the same time. RESULTS Thus, immunosuppressive state, provided with this intensively studied kind of TME cells, is supposed to promote GBM development through TAMs modulation of tumor treatment-resistance and aggressiveness. Therefore, TAMs are an attractive therapeutic target in the treatment of glioblastoma. CONCLUSION This review provides a comprehensive overview of the latest research on the nature of TAMs and the development of therapeutic strategies targeting TAMs, focusing on the variety of macrophage properties, being modulated, as well as molecular targets.
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Affiliation(s)
- Nina Loginova
- Group of Experimental Biotherapy and Diagnostics, Institute for Regenerative Medicine, World-Class Research Centre "Digital Biodesign and Personalized Healthcare", I.M. Sechenov First Moscow State Medical University, Moscow, Russia
| | - Denis Aniskin
- Group of Experimental Biotherapy and Diagnostics, Institute for Regenerative Medicine, World-Class Research Centre "Digital Biodesign and Personalized Healthcare", I.M. Sechenov First Moscow State Medical University, Moscow, Russia
| | - Peter Timashev
- World-Class Research Centre "Digital Biodesign and Personalized Healthcare", Sechenov First Moscow State Medical University, Moscow, Russia
| | - Ilya Ulasov
- Group of Experimental Biotherapy and Diagnostics, Institute for Regenerative Medicine, World-Class Research Centre "Digital Biodesign and Personalized Healthcare", I.M. Sechenov First Moscow State Medical University, Moscow, Russia
| | - Rajesh Kumar Kharwar
- Endocrine Research Laboratory, Department of Zoology, University of Lucknow, Lucknow, India
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2
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Ngo TKN, Yang SJ, Mao BH, Nguyen TKM, Ng QD, Kuo YL, Tsai JH, Saw SN, Tu TY. A deep learning-based pipeline for analyzing the influences of interfacial mechanochemical microenvironments on spheroid invasion using differential interference contrast microscopic images. Mater Today Bio 2023; 23:100820. [PMID: 37810748 PMCID: PMC10558776 DOI: 10.1016/j.mtbio.2023.100820] [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: 02/18/2023] [Revised: 07/16/2023] [Accepted: 09/24/2023] [Indexed: 10/10/2023] Open
Abstract
Metastasis is the leading cause of cancer-related deaths. During this process, cancer cells are likely to navigate discrete tissue-tissue interfaces, enabling them to infiltrate and spread throughout the body. Three-dimensional (3D) spheroid modeling is receiving more attention due to its strengths in studying the invasive behavior of metastatic cancer cells. While microscopy is a conventional approach for investigating 3D invasion, post-invasion image analysis, which is a time-consuming process, remains a significant challenge for researchers. In this study, we presented an image processing pipeline that utilized a deep learning (DL) solution, with an encoder-decoder architecture, to assess and characterize the invasion dynamics of tumor spheroids. The developed models, equipped with feature extraction and measurement capabilities, could be successfully utilized for the automated segmentation of the invasive protrusions as well as the core region of spheroids situated within interfacial microenvironments with distinct mechanochemical factors. Our findings suggest that a combination of the spheroid culture and DL-based image analysis enable identification of time-lapse migratory patterns for tumor spheroids above matrix-substrate interfaces, thus paving the foundation for delineating the mechanism of local invasion during cancer metastasis.
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Affiliation(s)
- Thi Kim Ngan Ngo
- Department of Biomedical Engineering, College of Engineering, National Cheng Kung University, Tainan, 70101, Taiwan
| | - Sze Jue Yang
- Department of Artificial Intelligence, Faculty of Computer Science and Information Technology, University of Malaya, 50603, Kuala Lumpur, Malaysia
| | - Bin-Hsu Mao
- Department of Biomedical Engineering, College of Engineering, National Cheng Kung University, Tainan, 70101, Taiwan
| | - Thi Kim Mai Nguyen
- Department of Biomedical Engineering, College of Engineering, National Cheng Kung University, Tainan, 70101, Taiwan
| | - Qi Ding Ng
- Department of Artificial Intelligence, Faculty of Computer Science and Information Technology, University of Malaya, 50603, Kuala Lumpur, Malaysia
| | - Yao-Lung Kuo
- Department of Surgery, College of Medicine, National Cheng Kung University, Tainan, 70101, Taiwan
- Department of Surgery, National Cheng Kung University Hospital, Tainan, 70101, Taiwan
| | - Jui-Hung Tsai
- Department of Internal Medicine, National Cheng Kung University Hospital, Tainan, 70101, Taiwan
| | - Shier Nee Saw
- Department of Artificial Intelligence, Faculty of Computer Science and Information Technology, University of Malaya, 50603, Kuala Lumpur, Malaysia
| | - Ting-Yuan Tu
- Department of Biomedical Engineering, College of Engineering, National Cheng Kung University, Tainan, 70101, Taiwan
- Medical Device Innovation Center, National Cheng Kung University, Tainan, 70101, Taiwan
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3
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Sousa N, Geiß C, Bindila L, Lieberwirth I, Kim E, Régnier-Vigouroux A. Targeting sphingolipid metabolism with the sphingosine kinase inhibitor SKI-II overcomes hypoxia-induced chemotherapy resistance in glioblastoma cells: effects on cell death, self-renewal, and invasion. BMC Cancer 2023; 23:762. [PMID: 37587449 PMCID: PMC10433583 DOI: 10.1186/s12885-023-11271-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Accepted: 08/07/2023] [Indexed: 08/18/2023] Open
Abstract
BACKGROUND Glioblastoma patients commonly develop resistance to temozolomide chemotherapy. Hypoxia, which supports chemotherapy resistance, favors the expansion of glioblastoma stem cells (GSC), contributing to tumor relapse. Because of a deregulated sphingolipid metabolism, glioblastoma tissues contain high levels of the pro-survival sphingosine-1-phosphate and low levels of the pro-apoptotic ceramide. The latter can be metabolized to sphingosine-1-phosphate by sphingosine kinase (SK) 1 that is overexpressed in glioblastoma. The small molecule SKI-II inhibits SK and dihydroceramide desaturase 1, which converts dihydroceramide to ceramide. We previously reported that SKI-II combined with temozolomide induces caspase-dependent cell death, preceded by dihydrosphingolipids accumulation and autophagy in normoxia. In the present study, we investigated the effects of a low-dose combination of temozolomide and SKI-II under normoxia and hypoxia in glioblastoma cells and patient-derived GCSs. METHODS Drug synergism was analyzed with the Chou-Talalay Combination Index method. Dose-effect curves of each drug were determined with the Sulforhodamine B colorimetric assay. Cell death mechanisms and autophagy were analyzed by immunofluorescence, flow cytometry and western blot; sphingolipid metabolism alterations by mass spectrometry and gene expression analysis. GSCs self-renewal capacity was determined using extreme limiting dilution assays and invasion of glioblastoma cells using a 3D spheroid model. RESULTS Temozolomide resistance of glioblastoma cells was increased under hypoxia. However, combination of temozolomide (48 µM) with SKI-II (2.66 µM) synergistically inhibited glioblastoma cell growth and potentiated glioblastoma cell death relative to single treatments under hypoxia. This low-dose combination did not induce dihydrosphingolipids accumulation, but a decrease in ceramide and its metabolites. It induced oxidative and endoplasmic reticulum stress and triggered caspase-independent cell death. It impaired the self-renewal capacity of temozolomide-resistant GSCs, especially under hypoxia. Furthermore, it decreased invasion of glioblastoma cell spheroids. CONCLUSIONS This in vitro study provides novel insights on the links between sphingolipid metabolism and invasion, a hallmark of cancer, and cancer stem cells, key drivers of cancer. It demonstrates the therapeutic potential of approaches that combine modulation of sphingolipid metabolism with first-line agent temozolomide in overcoming tumor growth and relapse by reducing hypoxia-induced resistance to chemotherapy and by targeting both differentiated and stem glioblastoma cells.
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Affiliation(s)
- Nadia Sousa
- Institute of Developmental Biology & Neurobiology, Johannes Gutenberg University Mainz, Mainz, Germany
| | - Carsten Geiß
- Institute of Developmental Biology & Neurobiology, Johannes Gutenberg University Mainz, Mainz, Germany
| | - Laura Bindila
- Clinical Lipidomics Unit, Institute of Physiological Chemistry, Medical University Mainz, Mainz, Germany
| | | | - Ella Kim
- Department of Neurosurgery, Medical University of Mainz, Mainz, Germany
| | - Anne Régnier-Vigouroux
- Institute of Developmental Biology & Neurobiology, Johannes Gutenberg University Mainz, Mainz, Germany.
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Nakod PS, Kondapaneni RV, Edney B, Kim Y, Rao SS. The impact of temozolomide and lonafarnib on the stemness marker expression of glioblastoma cells in multicellular spheroids. Biotechnol Prog 2022; 38:e3284. [PMID: 35768943 DOI: 10.1002/btpr.3284] [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: 03/18/2022] [Revised: 06/27/2022] [Accepted: 06/28/2022] [Indexed: 11/10/2022]
Abstract
Glioblastoma multiforme (GBM) is a highly malignant brain tumor with poor prognosis. The GBM microenvironment is highly heterogeneous and is composed of many cell types including astrocytes and endothelial cells (ECs) along with tumor cells, which are responsible for heightened resistance to standard chemotherapeutic drugs such as Temozolomide (TMZ). Here, we investigated how drug treatments impact stemness marker expression of GBM cells in multicellular tumor spheroid (MCTS) models. Co- and tri-culture MCTS constructed using U87-MG GBM cells, astrocytes and/or ECs were cultured for 7 days. At day 7, 5 μM lonafarnib (LNF), 100 μM TMZ, or combination of 5 μM LNF + 100 μM TMZ was added and the MCTS were cultured for an additional 48 h. We assessed the spheroid sizes and expression of stemness markers- NESTIN, SOX2, CD133, NANOG, and OCT4- through qRT-PCR and immunostaining. Following 48 h treatment with LNF, TMZ or their combination (LNF+TMZ), the spheroid sizes decreased compared to the untreated control. We also observed that the expression of most of the stemness markers significantly increased in the LNF+TMZ treated condition as compared to the untreated condition. These results indicate that drug treatment can influence the stemness marker expression of GBM cells in MCTS models and these aspects must be considered while evaluating therapies. In future, by incorporating other relevant cell types, we can further our understanding of their crosstalk, eventually leading to the development of new therapeutic strategies.
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Affiliation(s)
- Pinaki S Nakod
- Department of Chemical and Biological Engineering, The University of Alabama, Tuscaloosa, AL, USA
| | - Raghu Vamsi Kondapaneni
- Department of Chemical and Biological Engineering, The University of Alabama, Tuscaloosa, AL, USA
| | - Brandon Edney
- Department of Biological Sciences, The University of Alabama, Tuscaloosa, AL, USA
| | - Yonghyun Kim
- Department of Chemical and Biological Engineering, The University of Alabama, Tuscaloosa, AL, USA
| | - Shreyas S Rao
- Department of Chemical and Biological Engineering, The University of Alabama, Tuscaloosa, AL, USA
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Lacalle D, Castro-Abril HA, Randelovic T, Domínguez C, Heras J, Mata E, Mata G, Méndez Y, Pascual V, Ochoa I. SpheroidJ: An Open-Source Set of Tools for Spheroid Segmentation. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 2021; 200:105837. [PMID: 33221056 DOI: 10.1016/j.cmpb.2020.105837] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/09/2020] [Accepted: 11/08/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND AND OBJECTIVES Spheroids are the most widely used 3D models for studying the effects of different micro-environmental characteristics on tumour behaviour, and for testing different preclinical and clinical treatments. In order to speed up the study of spheroids, imaging methods that automatically segment and measure spheroids are instrumental; and, several approaches for automatic segmentation of spheroid images exist in the literature. However, those methods fail to generalise to a diversity of experimental conditions. The aim of this work is the development of a set of tools for spheroid segmentation that works in a diversity of settings. METHODS In this work, we have tackled the spheroid segmentation task by first developing a generic segmentation algorithm that can be easily adapted to different scenarios. This generic algorithm has been employed to reduce the burden of annotating a dataset of images that, in turn, has been employed to train several deep learning architectures for semantic segmentation. Both our generic algorithm and the constructed deep learning models have been tested with several datasets of spheroid images where the spheroids were grown under several experimental conditions, and the images acquired using different equipment. RESULTS The developed generic algorithm can be particularised to different scenarios; however, those particular algorithms fail to generalise to different conditions. By contrast, the best deep learning model, constructed using the HRNet-Seg architecture, generalises properly to a diversity of scenarios. In order to facilitate the dissemination and use of our algorithms and models, we present SpheroidJ, a set of open-source tools for spheroid segmentation. CONCLUSIONS In this work, we have developed an algorithm and trained several models for spheroid segmentation that can be employed with images acquired under different conditions. Thanks to this work, the analysis of spheroids acquired under different conditions will be more reliable and comparable; and, the developed tools will help to advance our understanding of tumour behaviour.
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Affiliation(s)
- David Lacalle
- Department of Mathematics and Computer Science, University of La Rioja, Spain
| | - Héctor Alfonso Castro-Abril
- Tissue MicroEnvironment (TME) lab, Institute for Health Research Aragón (IIS Aragón), Zaragoza, Spain; Aragon Institute of Engineering Research (I3A), University of Zaragoza, Zaragoza, Spain; Grupo de modelado y métodos numéricos en Ingeniería, Universidad Nacional de Colombia, Colombia
| | - Teodora Randelovic
- Tissue MicroEnvironment (TME) lab, Institute for Health Research Aragón (IIS Aragón), Zaragoza, Spain; Aragon Institute of Engineering Research (I3A), University of Zaragoza, Zaragoza, Spain
| | - César Domínguez
- Department of Mathematics and Computer Science, University of La Rioja, Spain
| | - Jónathan Heras
- Department of Mathematics and Computer Science, University of La Rioja, Spain.
| | - Eloy Mata
- Department of Mathematics and Computer Science, University of La Rioja, Spain
| | - Gadea Mata
- Confocal Microscopy Core Unit, Spanish National Cancer Research Centre, Madrid, Spain
| | - Yolanda Méndez
- Department of Mathematics and Computer Science, University of La Rioja, Spain
| | - Vico Pascual
- Department of Mathematics and Computer Science, University of La Rioja, Spain
| | - Ignacio Ochoa
- Tissue MicroEnvironment (TME) lab, Institute for Health Research Aragón (IIS Aragón), Zaragoza, Spain; Aragon Institute of Engineering Research (I3A), University of Zaragoza, Zaragoza, Spain; Biomedical Research Networking Centre in Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Instituto de Salud Carlos III, Madrid, Spain
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6
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Abstract
Tumor progression is profoundly influenced by interactions between cancer cells and the tumor microenvironment (TME). Among the various non-neoplastic cells present, immune cells are critical players in tumor development and have thus emerged as attractive therapeutic targets. Malignant gliomas exhibit a unique immune landscape characterized by high numbers of tumor-associated macrophages (TAMs). Despite encouraging preclinical results, targeting TAMs has yielded limited clinical success as a strategy for slowing glioma progression. The slow translational progress of TAM-targeted therapies is due in part to an incomplete understanding of the factors driving TAM recruitment, differentiation, and polarization. Furthermore, the functions that TAMs adopt in gliomas remain largely unknown. Progress in addressing these gaps requires sophisticated culture platforms capable of capturing key cellular and physical TME features. This review summarizes the current understanding of TAMs in gliomas and highlights the utility of in vitro TME models for investigating TAM-cancer cell cross talk.
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Affiliation(s)
- Erin A. Akins
- University of California, Berkeley – University of California, San Francisco Graduate Program in Bioengineering, Berkeley, CA 94720, USA
- Department of Bioengineering, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Manish K. Aghi
- Department of Neurosurgery, University of California San Francisco, San Francisco, CA 94143, USA
| | - Sanjay Kumar
- University of California, Berkeley – University of California, San Francisco Graduate Program in Bioengineering, Berkeley, CA 94720, USA
- Department of Bioengineering, University of California, Berkeley, Berkeley, CA 94720, USA
- Department of Chemical and Biomolecular Engineering, University of California, Berkeley, Berkeley, CA 94720, USA
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7
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Minamikawa-Tachino R, Ogura K, Ito A, Nagayama K. Time-lapse imaging of HeLa spheroids in soft agar culture provides virtual inner proliferative activity. PLoS One 2020; 15:e0231774. [PMID: 32302356 PMCID: PMC7164667 DOI: 10.1371/journal.pone.0231774] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2019] [Accepted: 03/31/2020] [Indexed: 01/11/2023] Open
Abstract
Cancer is a complex disease caused by multiple types of interactions. To simplify and normalize the assessment of drug effects, spheroid microenvironments have been utilized. Research models that involve agent measurement with the examination of clonogenic survival by monitoring culture process with image analysis have been developed for spheroid-based screening. Meanwhile, computer simulations using various models have enabled better predictions for phenomena in cancer. However, user-based parameters that are specific to a researcher’s own experimental conditions must be inputted. In order to bridge the gap between experimental and simulated conditions, we have developed an in silico analysis method with virtual three-dimensional embodiment computed using the researcher’s own samples. The present work focused on HeLa spheroid growth in soft agar culture, with spheroids being modeled in silico based on time-lapse images capturing spheroid growth. The spheroids in silico were optimized by adjusting the growth curves to those obtained from time-lapse images of spheroids and were then assigned virtual inner proliferative activity by using generations assigned to each cellular particle. The ratio and distribution of the virtual inner proliferative activities were confirmed to be similar to the proliferation zone ratio and histochemical profiles of HeLa spheroids, which were also consistent with those identified in an earlier study. We validated that time-lapse images of HeLa spheroids provided virtual inner proliferative activity for spheroids in vitro. The present work has achieved the first step toward an in silico analysis method using computational simulation based on a researcher’s own samples, helping to bridge the gap between experiment and simulation.
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Affiliation(s)
- Reiko Minamikawa-Tachino
- Translational Medical Research Center, Tokyo Metropolitan Institute of Medical Science, Setagaya, Tokyo, Japan
- * E-mail:
| | - Kiyoshi Ogura
- Translational Medical Research Center, Tokyo Metropolitan Institute of Medical Science, Setagaya, Tokyo, Japan
| | - Ayane Ito
- Department of Interdisciplinary Informatics, Graduate School of Computer Science and Systems Engineering, Kyushu Institute of Technology, Iizuka, Fukuoka, Japan
| | - Katsuya Nagayama
- Department of Mechanical Information Science and Technology, Faculty of Computer Science and Systems Engineering, Kyushu Institute of Technology, Iizuka, Fukuoka, Japan
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Rose M, Duhamel M, Aboulouard S, Kobeissy F, Le Rhun E, Desmons A, Tierny D, Fournier I, Rodet F, Salzet M. The Role of a Proprotein Convertase Inhibitor in Reactivation of Tumor-Associated Macrophages and Inhibition of Glioma Growth. MOLECULAR THERAPY-ONCOLYTICS 2020; 17:31-46. [PMID: 32300641 PMCID: PMC7152595 DOI: 10.1016/j.omto.2020.03.005] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/06/2020] [Accepted: 03/20/2020] [Indexed: 02/07/2023]
Abstract
Tumors are characterized by the presence of malignant and non-malignant cells, such as immune cells including macrophages, which are preponderant. Macrophages impact the efficacy of chemotherapy and may lead to drug resistance. In this context and based on our previous work, we investigated the ability to reactivate macrophages by using a proprotein convertases inhibitor. Proprotein convertases process immature proteins into functional proteins, with several of them having a role in immune cell activation and tumorigenesis. Macrophages were treated with a peptidomimetic inhibitor targeting furin, PC1/3, PC4, PACE4, and PC5/6. Their anti-glioma activity was analyzed by mass spectrometry-based proteomics and viability assays in 2D and 3D in vitro cultures. Comparison with temozolomide, the drug used for glioma therapy, established that the inhibitor was more efficient for the reduction of cancer cell density. The inhibitor was also able to reactivate macrophages through the secretion of several immune factors with antitumor properties. Moreover, two proteins considered as good glioma patient survival indicators were also identified in 3D cultures treated with the inhibitor. Finally, we established that the proprotein convertases inhibitor has a dual role as an anti-glioma drug and anti-tumoral macrophage reactivation drug. This strategy could be used together with chemotherapy to increase therapy efficacy in glioma.
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Affiliation(s)
- Mélanie Rose
- Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (PRISM), INSERM U1192, Université de Lille, 59000 Lille, France.,Oncovet Clinical Research (OCR), SIRIC ONCOLille, 59650 Villeneuve d'Ascq, France
| | - Marie Duhamel
- Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (PRISM), INSERM U1192, Université de Lille, 59000 Lille, France
| | - Soulaimane Aboulouard
- Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (PRISM), INSERM U1192, Université de Lille, 59000 Lille, France
| | - Firas Kobeissy
- Department of Psychiatry, McKnight Brain Institute, University of Florida, Gainesville, FL 32611, USA
| | - Emilie Le Rhun
- Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (PRISM), INSERM U1192, Université de Lille, 59000 Lille, France
| | - Annie Desmons
- Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (PRISM), INSERM U1192, Université de Lille, 59000 Lille, France
| | - Dominique Tierny
- Oncovet Clinical Research (OCR), SIRIC ONCOLille, 59650 Villeneuve d'Ascq, France
| | - Isabelle Fournier
- Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (PRISM), INSERM U1192, Université de Lille, 59000 Lille, France
| | - Franck Rodet
- Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (PRISM), INSERM U1192, Université de Lille, 59000 Lille, France
| | - Michel Salzet
- Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (PRISM), INSERM U1192, Université de Lille, 59000 Lille, France
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Murgoci AN, Duhamel M, Raffo-Romero A, Mallah K, Aboulouard S, Lefebvre C, Kobeissy F, Fournier I, Zilkova M, Maderova D, Cizek M, Cizkova D, Salzet M. Location of neonatal microglia drives small extracellular vesicles content and biological functions in vitro. J Extracell Vesicles 2020; 9:1727637. [PMID: 32158520 PMCID: PMC7049881 DOI: 10.1080/20013078.2020.1727637] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2019] [Revised: 01/31/2020] [Accepted: 02/03/2020] [Indexed: 12/19/2022] Open
Abstract
Combining proteomics and systems biology approaches, we demonstrate that neonatal microglial cells derived from two different CNS locations, cortex and spinal cord, and cultured in vitro displayed different phenotypes upon different physiological or pathological conditions. These cells also exhibited greater variability in terms of cellular and small extracellular vesicles (sEVs) protein content and levels. Bioinformatic data analysis showed that cortical microglia exerted anti-inflammatory and neurogenesis/tumorigenesis properties, while the spinal cord microglia were more inflammatory. Interestingly, while both sEVs microglia sources enhanced growth of DRGs processes, only the spinal cord-derived sEVs microglia under LPS stimulation significantly attenuated glioma proliferation. These results were confirmed using the neurite outgrowth assay on DRGs cells and glioma proliferation analysis in 3D spheroid cultures. Results from these in vitro assays suggest that the microglia localized at different CNS regions can ensure different biological functions. Together, this study indicates that neonatal microglia locations regulate their physiological and pathological functional fates and could affect the high prevalence of brain vs spinal cord gliomas in adults.
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Affiliation(s)
- Adriana-Natalia Murgoci
- Inserm, U-1192 - Laboratoire Protéomique, Réponse Inflammatoire et Spectrométrie de Masse-PRISM, Université Lille, Villeneuve d’Ascq, France
- Institute of Neuroimmunology, Slovak Academy of Sciences, Bratislava, Slovakia
- Department of Anatomy, Histology and Physiology, University of Veterinary Medicine and Pharmacy in Košice, Košice, Slovakia
| | - Marie Duhamel
- Inserm, U-1192 - Laboratoire Protéomique, Réponse Inflammatoire et Spectrométrie de Masse-PRISM, Université Lille, Villeneuve d’Ascq, France
| | - Antonella Raffo-Romero
- Inserm, U-1192 - Laboratoire Protéomique, Réponse Inflammatoire et Spectrométrie de Masse-PRISM, Université Lille, Villeneuve d’Ascq, France
| | - Khalil Mallah
- Inserm, U-1192 - Laboratoire Protéomique, Réponse Inflammatoire et Spectrométrie de Masse-PRISM, Université Lille, Villeneuve d’Ascq, France
| | - Soulaimane Aboulouard
- Inserm, U-1192 - Laboratoire Protéomique, Réponse Inflammatoire et Spectrométrie de Masse-PRISM, Université Lille, Villeneuve d’Ascq, France
| | - Christophe Lefebvre
- Inserm, U-1192 - Laboratoire Protéomique, Réponse Inflammatoire et Spectrométrie de Masse-PRISM, Université Lille, Villeneuve d’Ascq, France
| | - Firas Kobeissy
- Department of Psychiatry, McKnight Brain Institute, University of Florida, Gainesville, FL, USA
| | - Isabelle Fournier
- Inserm, U-1192 - Laboratoire Protéomique, Réponse Inflammatoire et Spectrométrie de Masse-PRISM, Université Lille, Villeneuve d’Ascq, France
| | - Monika Zilkova
- Institute of Neuroimmunology, Slovak Academy of Sciences, Bratislava, Slovakia
| | - Denisa Maderova
- Institute of Neuroimmunology, Slovak Academy of Sciences, Bratislava, Slovakia
| | - Milan Cizek
- Department of Epizootiology and Parasitology, University of Veterinary Medicine and Pharmacy in Košice, KošiceSlovakia
| | - Dasa Cizkova
- Inserm, U-1192 - Laboratoire Protéomique, Réponse Inflammatoire et Spectrométrie de Masse-PRISM, Université Lille, Villeneuve d’Ascq, France
- Institute of Neuroimmunology, Slovak Academy of Sciences, Bratislava, Slovakia
- Department of Anatomy, Histology and Physiology, University of Veterinary Medicine and Pharmacy in Košice, Košice, Slovakia
| | - Michel Salzet
- Inserm, U-1192 - Laboratoire Protéomique, Réponse Inflammatoire et Spectrométrie de Masse-PRISM, Université Lille, Villeneuve d’Ascq, France
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10
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Lim GJ, Kang SJ, Lee JY. Novel invasion indices quantify the feed-forward facilitation of tumor invasion by macrophages. Sci Rep 2020; 10:718. [PMID: 31959808 PMCID: PMC6971071 DOI: 10.1038/s41598-020-57517-6] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2019] [Accepted: 01/02/2020] [Indexed: 01/08/2023] Open
Abstract
Quantitative and reliable measurement of cellular invasion is important to understand a range of biological processes such as cancer metastasis and angiogenesis. Spheroid invasion assays are an attractive in vitro platform because they effectively mimic the tumor cell invasion of solid tissues. Here, we developed an image analysis–based method to quantify the invasiveness of HT1080 human fibrosarcoma tumor cell spheroids. We segmented a cell-covered area into three subareas using objectively set threshold pixel intensities and calculated invasion indices using these subareas. Comparison with conventional parameters for spheroid invasion assays, such as area, length, and detached cells, showed that our indices present the invasion event at an early time and without being convoluted by proliferation. As an application, we then examined paracrine interactions between LLC1 mouse lung carcinoma cells and Raw264.7 mouse macrophage cells with our developed analysis method. We found that the invasion of tumor spheroids was increased by a macrophage-conditioned medium, concomitantly with a decrease in tumor cell proliferation. Importantly, invasion was further enhanced by a conditioned medium from activated macrophages by co-culture with tumor cells. Thus, our indices reveal that tumor cell invasion is facilitated in a feed-forward manner by communication between tumor cells and macrophages in the tumor microenvironment.
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Affiliation(s)
- Gippeum J Lim
- Department of Biological Sciences, Korea Advanced Institute of Science and Technology, 291 Daehak-ro, Yuseong-gu, Daejeon, 34141, Republic of Korea
| | - Suk-Jo Kang
- Department of Biological Sciences, Korea Advanced Institute of Science and Technology, 291 Daehak-ro, Yuseong-gu, Daejeon, 34141, Republic of Korea.
| | - Ji Youn Lee
- Center for Bioanalysis, Division of Chemical and Medical Metrology, Korea Research Institute of Standards and Science, 267 Gajeong-ro, Yuseong-gu, Daejeon, 34113, Republic of Korea.
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Duhamel M, Rose M, Rodet F, Murgoci AN, Zografidou L, Régnier-Vigouroux A, Vanden Abeele F, Kobeissy F, Nataf S, Pays L, Wisztorski M, Cizkova D, Fournier I, Salzet M. Paclitaxel Treatment and Proprotein Convertase 1/3 (PC1/3) Knockdown in Macrophages is a Promising Antiglioma Strategy as Revealed by Proteomics and Cytotoxicity Studies. Mol Cell Proteomics 2018. [PMID: 29531019 DOI: 10.1074/mcp.ra117.000443] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023] Open
Abstract
High grade gliomas are the most common brain tumors in adult. These tumors are characterized by a high infiltration in microglial cells and macrophages. The immunosuppressive tumor environment is known to orient immune cells toward a pro-tumoral and anti-inflammatory phenotype. Therefore, the current challenge for cancer therapy is to find a way to reorient macrophages toward an antitumoral phenotype. Previously, we demonstrated that macrophages secreted antitumoral factors when they were invalidated for the proprotein converstase 1/3 (PC1/3) and treated with LPS. However, achieving an activation of macrophages via LPS/TLR4/Myd88-dependent pathway appears yet unfeasible in cancer patients. On the contrary, the antitumor drug Paclitaxel is also known to activate the TLR4 MyD88-dependent signaling pathway and mimics LPS action. Therefore, we evaluated if PC1/3 knock-down (KD) macrophages could be activated by Paclitaxel and efficient against glioma. We report here that such a treatment of PC1/3 KD macrophages drove to the overexpression of proteins mainly involved in cytoskeleton rearrangement. In support of this finding, we found that these cells exhibited a Ca2+ increase after Paclitaxel treatment. This is indicative of a possible depolymerization of microtubules and may therefore reflect an activation of inflammatory pathways in macrophages. In such a way, we found that PC1/3 KD macrophages displayed a repression of the anti-inflammatory pathway STAT3 and secreted more pro-inflammatory cytokines. Extracellular vesicles isolated from these PC1/3 KD cells inhibited glioma growth. Finally, the supernatant collected from the coculture between glioma cells and PC1/3 KD macrophages contained more antitumoral factors. These findings unravel the potential value of a new therapeutic strategy combining Paclitaxel and PC1/3 inhibition to switch macrophages toward an antitumoral immunophenotype.
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Affiliation(s)
- Marie Duhamel
- From the ‡Inserm U-1192, Laboratoire de Protéomique, Réponse Inflammatoire, Spectrométrie de Masse (PRISM), Université Lille 1, Cité Scientifique, 59655 Villeneuve D'Ascq, France;
| | - Mélanie Rose
- From the ‡Inserm U-1192, Laboratoire de Protéomique, Réponse Inflammatoire, Spectrométrie de Masse (PRISM), Université Lille 1, Cité Scientifique, 59655 Villeneuve D'Ascq, France.,§Oncovet Clinical Research (OCR), SIRIC ONCOLille, Villeneuve d'Ascq, France
| | - Franck Rodet
- From the ‡Inserm U-1192, Laboratoire de Protéomique, Réponse Inflammatoire, Spectrométrie de Masse (PRISM), Université Lille 1, Cité Scientifique, 59655 Villeneuve D'Ascq, France
| | - Adriana Natalia Murgoci
- From the ‡Inserm U-1192, Laboratoire de Protéomique, Réponse Inflammatoire, Spectrométrie de Masse (PRISM), Université Lille 1, Cité Scientifique, 59655 Villeneuve D'Ascq, France.,§§Institute of Neuroimmunology, Slovak Academy of Sciences, 845 10, Bratislava, Slovak Republic
| | - Lea Zografidou
- ¶Johannes Gutenberg-Universität Mainz, Johann-Joachim-Becher-Weg 15, D-55128 Mainz, Germany
| | - Anne Régnier-Vigouroux
- ¶Johannes Gutenberg-Universität Mainz, Johann-Joachim-Becher-Weg 15, D-55128 Mainz, Germany
| | - Fabien Vanden Abeele
- ‖Inserm U-1003, Equipe labellisée par la Ligue Nationale contre le cancer, Laboratory of Excellence, Ion Channels Science and Therapeutics, Université Lille 1, Cité Scientifique, 59655 Villeneuve d'Ascq, France
| | - Firas Kobeissy
- **Department of Biochemistry and Molecular Genetics, Faculty of Medicine, American University of Beirut, 1107 2020 Beirut, Lebanon
| | - Serge Nataf
- ‡‡Inserm U-1060, CarMeN Laboratory, Banque de Tissus et de Cellules des Hospices Civils de Lyon, Université Lyon-1, Hôpital Edouard Herriot, 69437 Lyon cedex 03, France
| | - Laurent Pays
- ‡‡Inserm U-1060, CarMeN Laboratory, Banque de Tissus et de Cellules des Hospices Civils de Lyon, Université Lyon-1, Hôpital Edouard Herriot, 69437 Lyon cedex 03, France
| | - Maxence Wisztorski
- From the ‡Inserm U-1192, Laboratoire de Protéomique, Réponse Inflammatoire, Spectrométrie de Masse (PRISM), Université Lille 1, Cité Scientifique, 59655 Villeneuve D'Ascq, France
| | - Dasa Cizkova
- §§Institute of Neuroimmunology, Slovak Academy of Sciences, 845 10, Bratislava, Slovak Republic
| | - Isabelle Fournier
- From the ‡Inserm U-1192, Laboratoire de Protéomique, Réponse Inflammatoire, Spectrométrie de Masse (PRISM), Université Lille 1, Cité Scientifique, 59655 Villeneuve D'Ascq, France
| | - Michel Salzet
- From the ‡Inserm U-1192, Laboratoire de Protéomique, Réponse Inflammatoire, Spectrométrie de Masse (PRISM), Université Lille 1, Cité Scientifique, 59655 Villeneuve D'Ascq, France
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Huang BW, Gao JQ. Application of 3D cultured multicellular spheroid tumor models in tumor-targeted drug delivery system research. J Control Release 2017; 270:246-259. [PMID: 29233763 DOI: 10.1016/j.jconrel.2017.12.005] [Citation(s) in RCA: 100] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2017] [Revised: 12/05/2017] [Accepted: 12/06/2017] [Indexed: 12/11/2022]
Abstract
Tumor-targeted drug delivery systems are promising for their advantages in enhanced tumor accumulation and reduced toxicity towards normal organs. However, few nanomedicines have been successfully translated into clinical application. One reason is the gap between current pre-clinical and clinical studies. The prevalent in vitro models utilized in pre-clinical phase are mainly based on the two-dimensional (2D) cell culture and are limited by the difficulty of simulating three-dimensional physiological conditions in human body, such as three-dimensional (3D) architecture, cell heterogeneity, nutrient gradients and the interaction between cells and the extracellular matrix (ECM). In addition, traditional animal models have drawbacks such as high-cost, long periods and physiological differences between animal and human. On the other hand, the employment of 3D tumor cell culture models, especially multicellular tumor spheroids (MCTS), has increased significantly in recent decades. These models have been shown to simulate 3D structures of tumors in vitro with relatively low cost and simple protocols. Currently, MCTS have also been widely exploited in drug delivery system research for comprehensive study of drug efficacy, drug penetration, receptor targeting, and cell recruitment abilities. This review summarizes the delivery barriers for nano-carriers presented in tumor microenvironment, the characteristics and formation methods for applicable multicellular tumor spheroid culture models and recent studies related to their applications in tumor-targeted drug delivery system research.
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Affiliation(s)
- Bu-Wei Huang
- Zhejiang Province Key Laboratory of Anti-Cancer Drug Research, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, PR China; Center for Nanomedicine at the Wilmer Eye Institute, Johns Hopkins University School of Medicine, MD 21231, USA; Department of Biomedical Engineering, Johns Hopkins University School of Medicine, MD 21205, USA
| | - Jian-Qing Gao
- Zhejiang Province Key Laboratory of Anti-Cancer Drug Research, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, PR China.
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