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Zheng L, He JJ, Zhao KX, Pan YF, Liu WX. Expression of overall survival-EMT-immune cell infiltration genes predict the prognosis of glioma. Noncoding RNA Res 2024; 9:407-420. [PMID: 38511063 PMCID: PMC10950607 DOI: 10.1016/j.ncrna.2024.02.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2024] [Revised: 02/05/2024] [Accepted: 02/06/2024] [Indexed: 03/22/2024] Open
Abstract
This study investigates the crucial role of immune- and epithelial-mesenchymal transition (EMT)-associated genes and non-coding RNAs in glioma development and diagnosis, given the challenging 5-year survival rates associated with this prevalent CNS malignant tumor. Clinical and RNA data from glioma patients were meticulously gathered from CGGA databases, and EMT-related genes were sourced from dbEMT2.0, while immune-related genes were obtained from MSigDB. Employing consensus clustering, novel molecular subgroups were identified. Subsequent analyses, including ESTIMATE, TIMER, and MCP counter, provided insights into the tumor microenvironment (TIME) and immune status. Functional studies, embracing GO, KEGG, GSVA, and GSEA analyses, unraveled the underlying mechanisms governing these molecular subgroups. Utilizing the LASSO algorithm and multivariate Cox regression, a prognostic risk model was crafted. The study unveiled two distinct molecular subgroups with significantly disparate survival outcomes. A more favorable prognosis was linked to low immune scores, high tumor purity, and an abundance of immune infiltrating cells with differential expression of non-coding RNAs, including miRNAs. Functional analyses illuminated enrichment of immune- and EMT-associated pathways in differentially expressed genes and non-coding RNAs between these subgroups. GSVA and GSEA analyses hinted at abnormal EMT status potentially contributing to glioma-associated immune disorders. The risk model, centered on OS-EMT-ICI genes, exhibited promise in accurately predicting survival in glioma. Additionally, a nomogram integrating the risk model with clinical characteristics demonstrated notable accuracy in prognostic predictions for glioma patients. In conclusion, OS-EMT-ICI gene and non-coding RNA expression emerges as a valuable indicator intricately linked to immune microenvironment dysregulation, offering a robust tool for precise prognosis prediction in glioma patients within the OBMRC framework.
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Affiliation(s)
- Lei Zheng
- Department of Breast Surgery, Zhejiang Hospital, Hangzhou, Zhejiang Province, 310000, PR China
| | - Jin-jing He
- Department of Operating Room, Zhejiang Hospital, Hangzhou, Zhejiang Province, 310000, PR China
| | - Kai-xiang Zhao
- Department of Thoracic Surgery, Zhejiang Hospital, Hangzhou, Zhejiang Province, 310000, PR China
| | - Ya-fei Pan
- Department of Anesthesiology, Zhejiang Cancer Hospital, Hangzhou, Zhejiang Province, 310000, PR China
| | - Wei-xian Liu
- Department of Neurosurgery, Zhejiang Hospital, Hangzhou, Zhejiang Province, 310000, PR China
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2
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Haley MJ, Bere L, Minshull J, Georgaka S, Garcia-Martin N, Howell G, Coope DJ, Roncaroli F, King A, Wedge DC, Allan SM, Pathmanaban ON, Brough D, Couper KN. Hypoxia coordinates the spatial landscape of myeloid cells within glioblastoma to affect survival. SCIENCE ADVANCES 2024; 10:eadj3301. [PMID: 38758780 PMCID: PMC11100569 DOI: 10.1126/sciadv.adj3301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Accepted: 04/15/2024] [Indexed: 05/19/2024]
Abstract
Myeloid cells are highly prevalent in glioblastoma (GBM), existing in a spectrum of phenotypic and activation states. We now have limited knowledge of the tumor microenvironment (TME) determinants that influence the localization and the functions of the diverse myeloid cell populations in GBM. Here, we have utilized orthogonal imaging mass cytometry with single-cell and spatial transcriptomic approaches to identify and map the various myeloid populations in the human GBM tumor microenvironment (TME). Our results show that different myeloid populations have distinct and reproducible compartmentalization patterns in the GBM TME that is driven by tissue hypoxia, regional chemokine signaling, and varied homotypic and heterotypic cellular interactions. We subsequently identified specific tumor subregions in GBM, based on composition of identified myeloid cell populations, that were linked to patient survival. Our results provide insight into the spatial organization of myeloid cell subpopulations in GBM, and how this is predictive of clinical outcome.
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Affiliation(s)
- Michael J. Haley
- Geoffrey Jefferson Brain Research Centre, Manchester Academic Health Science Centre, Northern Care Alliance NHS Foundation Trust, University of Manchester, Manchester, UK
- Lydia Becker Institute of Inflammation and Immunology, University of Manchester, Manchester, UK
| | - Leoma Bere
- Geoffrey Jefferson Brain Research Centre, Manchester Academic Health Science Centre, Northern Care Alliance NHS Foundation Trust, University of Manchester, Manchester, UK
- Lydia Becker Institute of Inflammation and Immunology, University of Manchester, Manchester, UK
| | - James Minshull
- Geoffrey Jefferson Brain Research Centre, Manchester Academic Health Science Centre, Northern Care Alliance NHS Foundation Trust, University of Manchester, Manchester, UK
- Division of Neuroscience, University of Manchester, Manchester, UK
| | - Sokratia Georgaka
- Division of Informatics, Imaging and Data Sciences, University of Manchester, Manchester, UK
| | | | - Gareth Howell
- Flow Cytometry Core Research Facility, University of Manchester, Manchester, UK
| | - David J. Coope
- Geoffrey Jefferson Brain Research Centre, Manchester Academic Health Science Centre, Northern Care Alliance NHS Foundation Trust, University of Manchester, Manchester, UK
- Division of Neuroscience, University of Manchester, Manchester, UK
- Manchester Centre for Clinical Neurosciences, Manchester, UK
| | - Federico Roncaroli
- Geoffrey Jefferson Brain Research Centre, Manchester Academic Health Science Centre, Northern Care Alliance NHS Foundation Trust, University of Manchester, Manchester, UK
- Division of Neuroscience, University of Manchester, Manchester, UK
- Manchester Centre for Clinical Neurosciences, Manchester, UK
| | - Andrew King
- Geoffrey Jefferson Brain Research Centre, Manchester Academic Health Science Centre, Northern Care Alliance NHS Foundation Trust, University of Manchester, Manchester, UK
- Manchester Centre for Clinical Neurosciences, Manchester, UK
- Division of Cardiovascular Sciences, University of Manchester, Manchester, UK
| | - David C. Wedge
- Manchester Cancer Research Centre, University of Manchester, Manchester, UK
| | - Stuart M. Allan
- Geoffrey Jefferson Brain Research Centre, Manchester Academic Health Science Centre, Northern Care Alliance NHS Foundation Trust, University of Manchester, Manchester, UK
- Division of Neuroscience, University of Manchester, Manchester, UK
| | - Omar N. Pathmanaban
- Geoffrey Jefferson Brain Research Centre, Manchester Academic Health Science Centre, Northern Care Alliance NHS Foundation Trust, University of Manchester, Manchester, UK
- Division of Neuroscience, University of Manchester, Manchester, UK
- Manchester Centre for Clinical Neurosciences, Manchester, UK
| | - David Brough
- Geoffrey Jefferson Brain Research Centre, Manchester Academic Health Science Centre, Northern Care Alliance NHS Foundation Trust, University of Manchester, Manchester, UK
- Lydia Becker Institute of Inflammation and Immunology, University of Manchester, Manchester, UK
- Division of Neuroscience, University of Manchester, Manchester, UK
| | - Kevin N. Couper
- Geoffrey Jefferson Brain Research Centre, Manchester Academic Health Science Centre, Northern Care Alliance NHS Foundation Trust, University of Manchester, Manchester, UK
- Lydia Becker Institute of Inflammation and Immunology, University of Manchester, Manchester, UK
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3
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Zhong J, Xing X, Gao Y, Pei L, Lu C, Sun H, Lai Y, Du K, Xiao F, Yang Y, Wang X, Shi Y, Bai F, Zhang N. Distinct roles of TREM2 in central nervous system cancers and peripheral cancers. Cancer Cell 2024:S1535-6108(24)00162-4. [PMID: 38788719 DOI: 10.1016/j.ccell.2024.05.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Revised: 02/26/2024] [Accepted: 05/01/2024] [Indexed: 05/26/2024]
Abstract
Glioblastomas (GBM) are incurable central nervous system (CNS) cancers characterized by substantial myeloid cell infiltration. Whether myeloid cell-directed therapeutic targets identified in peripheral non-CNS cancers are applicable to GBM requires further study. Here, we identify that the critical immunosuppressive target in peripheral cancers, triggering receptor expressed on myeloid cells-2 (TREM2), is immunoprotective in GBM. Genetic or pharmacological TREM2 deficiency promotes GBM progression in vivo. Single-cell and spatial sequencing reveals downregulated TREM2 in GBM-infiltrated myeloid cells. TREM2 negatively correlates with immunosuppressive myeloid and T cell exhaustion signatures in GBM. We further demonstrate that during GBM progression, CNS-enriched sphingolipids bind TREM2 on myeloid cells and elicit antitumor responses. Clinically, high TREM2 expression in myeloid cells correlates with better survival in GBM. Adeno-associated virus-mediated TREM2 overexpression impedes GBM progression and synergizes with anti-PD-1 therapy. Our results reveal distinct functions of TREM2 in CNS cancers and support organ-specific myeloid cell remodeling in cancer immunotherapy.
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Affiliation(s)
- Jian Zhong
- Department of Neurosurgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong 510080, China; Guangdong Provincial Key Laboratory of Brain Function and Disease, Guangzhou, Guangdong 510080, China
| | - Xudong Xing
- Biomedical Pioneering Innovation Center (BIOPIC), Peking-Tsinghua Center for Life Sciences, School of Life Sciences, Peking University, Beijing, China; Beijing Advanced Innovation Center for Genomics, Peking University, Beijing, China
| | - Yixin Gao
- Department of Neurosurgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong 510080, China; Guangdong Provincial Key Laboratory of Brain Function and Disease, Guangzhou, Guangdong 510080, China
| | - Lei Pei
- Biomedical Pioneering Innovation Center (BIOPIC), Peking-Tsinghua Center for Life Sciences, School of Life Sciences, Peking University, Beijing, China; Beijing Advanced Innovation Center for Genomics, Peking University, Beijing, China
| | - Chenfei Lu
- Department of Cell Biology, National Health Commission Key Laboratory of Antibody Techniques, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Huixin Sun
- Department of Neurosurgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong 510080, China; Guangdong Provincial Key Laboratory of Brain Function and Disease, Guangzhou, Guangdong 510080, China
| | - Yanxing Lai
- Department of Neurosurgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong 510080, China; Guangdong Provincial Key Laboratory of Brain Function and Disease, Guangzhou, Guangdong 510080, China
| | - Kang Du
- Department of Neurosurgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong 510080, China; Guangdong Provincial Key Laboratory of Brain Function and Disease, Guangzhou, Guangdong 510080, China
| | - Feizhe Xiao
- Department of Scientific Research Section, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong 510080, China
| | - Ying Yang
- Institute of Pathology and Southwest Cancer Centre, Key Laboratory of Tumor Immunopathology of the Ministry of Education of China, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing 400038, China; Yu-Yue Pathology Scientific Research Center and Jinfeng Laboratory, Chongqing 400039, China
| | - Xiuxing Wang
- Department of Cell Biology, National Health Commission Key Laboratory of Antibody Techniques, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Yu Shi
- Institute of Pathology and Southwest Cancer Centre, Key Laboratory of Tumor Immunopathology of the Ministry of Education of China, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing 400038, China; Yu-Yue Pathology Scientific Research Center and Jinfeng Laboratory, Chongqing 400039, China
| | - Fan Bai
- Biomedical Pioneering Innovation Center (BIOPIC), Peking-Tsinghua Center for Life Sciences, School of Life Sciences, Peking University, Beijing, China; Beijing Advanced Innovation Center for Genomics, Peking University, Beijing, China.
| | - Nu Zhang
- Department of Neurosurgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong 510080, China; Guangdong Provincial Key Laboratory of Brain Function and Disease, Guangzhou, Guangdong 510080, China.
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4
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De Leo A, Ugolini A, Yu X, Scirocchi F, Scocozza D, Peixoto B, Pace A, D'Angelo L, Liu JKC, Etame AB, Rughetti A, Nuti M, Santoro A, Vogelbaum MA, Conejo-Garcia JR, Rodriguez PC, Veglia F. Glucose-driven histone lactylation promotes the immunosuppressive activity of monocyte-derived macrophages in glioblastoma. Immunity 2024; 57:1105-1123.e8. [PMID: 38703775 PMCID: PMC11114377 DOI: 10.1016/j.immuni.2024.04.006] [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: 03/21/2023] [Revised: 12/08/2023] [Accepted: 04/09/2024] [Indexed: 05/06/2024]
Abstract
Immunosuppressive macrophages restrict anti-cancer immunity in glioblastoma (GBM). Here, we studied the contribution of microglia (MGs) and monocyte-derived macrophages (MDMs) to immunosuppression and mechanisms underlying their regulatory function. MDMs outnumbered MGs at late tumor stages and suppressed T cell activity. Molecular and functional analysis identified a population of glycolytic MDM expressing GLUT1 with potent immunosuppressive activity. GBM-derived factors promoted high glycolysis, lactate, and interleukin-10 (IL-10) production in MDMs. Inhibition of glycolysis or lactate production in MDMs impaired IL-10 expression and T cell suppression. Mechanistically, intracellular lactate-driven histone lactylation promoted IL-10 expression, which was required to suppress T cell activity. GLUT1 expression on MDMs was induced downstream of tumor-derived factors that activated the PERK-ATF4 axis. PERK deletion in MDM abrogated histone lactylation, led to the accumulation of intratumoral T cells and tumor growth delay, and, in combination with immunotherapy, blocked GBM progression. Thus, PERK-driven glucose metabolism promotes MDM immunosuppressive activity via histone lactylation.
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Affiliation(s)
- Alessandra De Leo
- Department of Immunology, H. Lee Moffitt Cancer Center, Tampa, FL, USA; Immunology, Microenvironment and Metastasis Program, The Wistar Institute, Philadelphia, PA, USA
| | - Alessio Ugolini
- Department of Immunology, H. Lee Moffitt Cancer Center, Tampa, FL, USA; Immunology, Microenvironment and Metastasis Program, The Wistar Institute, Philadelphia, PA, USA; Department of Experimental Medicine "Sapienza" University of Rome, Rome, Italy
| | - Xiaoqing Yu
- Department of Biostatistics and Bioinformatic, H. Lee Moffitt Cancer Center, Tampa, FL, USA
| | - Fabio Scirocchi
- Department of Immunology, H. Lee Moffitt Cancer Center, Tampa, FL, USA; Department of Experimental Medicine "Sapienza" University of Rome, Rome, Italy
| | - Delia Scocozza
- Department of Immunology, H. Lee Moffitt Cancer Center, Tampa, FL, USA
| | - Barbara Peixoto
- Department of Immunology, H. Lee Moffitt Cancer Center, Tampa, FL, USA; Immunology, Microenvironment and Metastasis Program, The Wistar Institute, Philadelphia, PA, USA
| | - Angelica Pace
- Department of Experimental Medicine "Sapienza" University of Rome, Rome, Italy
| | - Luca D'Angelo
- Department of Human Neurosciences, Neurosurgery Division, "Sapienza" University, AOU Policlinico Umberto I, Rome, Italy
| | - James K C Liu
- Department of Neuro-Oncology, H. Lee Moffitt Cancer Center, Tampa, FL, USA
| | - Arnold B Etame
- Department of Neuro-Oncology, H. Lee Moffitt Cancer Center, Tampa, FL, USA
| | - Aurelia Rughetti
- Department of Experimental Medicine "Sapienza" University of Rome, Rome, Italy
| | - Marianna Nuti
- Department of Experimental Medicine "Sapienza" University of Rome, Rome, Italy
| | - Antonio Santoro
- Department of Human Neurosciences, Neurosurgery Division, "Sapienza" University, AOU Policlinico Umberto I, Rome, Italy
| | | | - Jose R Conejo-Garcia
- Department of Integrative immunobiology, Duke School of Medicine, Durham, NC, USA
| | - Paulo C Rodriguez
- Department of Immunology, H. Lee Moffitt Cancer Center, Tampa, FL, USA
| | - Filippo Veglia
- Department of Immunology, H. Lee Moffitt Cancer Center, Tampa, FL, USA; Department of Neuro-Oncology, H. Lee Moffitt Cancer Center, Tampa, FL, USA; Immunology, Microenvironment and Metastasis Program, The Wistar Institute, Philadelphia, PA, USA.
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5
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Blériot C, Dunsmore G, Alonso-Curbelo D, Ginhoux F. A temporal perspective for tumor-associated macrophage identities and functions. Cancer Cell 2024; 42:747-758. [PMID: 38670090 DOI: 10.1016/j.ccell.2024.04.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Revised: 02/13/2024] [Accepted: 04/04/2024] [Indexed: 04/28/2024]
Abstract
Cancer is a progressive disease that can develop and evolve over decades, with inflammation playing a central role at each of its stages, from tumor initiation to metastasis. In this context, macrophages represent well-established bridges reciprocally linking inflammation and cancer via an array of diverse functions that have spurred efforts to classify them into subtypes. Here, we discuss the intertwines between macrophages, inflammation, and cancer with an emphasis on temporal dynamics of macrophage diversity and functions in pre-malignancy and cancer. By instilling temporal dynamism into the more static classic view of tumor-associated macrophage biology, we propose a new framework to better contextualize their significance in the inflammatory processes that precede and result from the onset of cancer and shape its evolution.
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Affiliation(s)
- Camille Blériot
- Gustave Roussy, INSERM, Villejuif, France; Institut Necker des Enfants Malades (INEM), INSERM, CNRS, Université Paris Cité, Paris, France
| | | | - Direna Alonso-Curbelo
- Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology (BIST), Barcelona, Spain.
| | - Florent Ginhoux
- Gustave Roussy, INSERM, Villejuif, France; Singapore Immunology Network (SIgN), Agency for Science, Technology and Research (A∗STAR), Singapore, Singapore; Shanghai Institute of Immunology, Shanghai JiaoTong University School of Medicine, Shanghai, China; Translational Immunology Institute, SingHealth Duke-NUS, Singapore, Singapore.
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6
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Lin H, Liu C, Hu A, Zhang D, Yang H, Mao Y. Understanding the immunosuppressive microenvironment of glioma: mechanistic insights and clinical perspectives. J Hematol Oncol 2024; 17:31. [PMID: 38720342 PMCID: PMC11077829 DOI: 10.1186/s13045-024-01544-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2023] [Accepted: 04/10/2024] [Indexed: 05/12/2024] Open
Abstract
Glioblastoma (GBM), the predominant and primary malignant intracranial tumor, poses a formidable challenge due to its immunosuppressive microenvironment, thereby confounding conventional therapeutic interventions. Despite the established treatment regimen comprising surgical intervention, radiotherapy, temozolomide administration, and the exploration of emerging modalities such as immunotherapy and integration of medicine and engineering technology therapy, the efficacy of these approaches remains constrained, resulting in suboptimal prognostic outcomes. In recent years, intensive scrutiny of the inhibitory and immunosuppressive milieu within GBM has underscored the significance of cellular constituents of the GBM microenvironment and their interactions with malignant cells and neurons. Novel immune and targeted therapy strategies have emerged, offering promising avenues for advancing GBM treatment. One pivotal mechanism orchestrating immunosuppression in GBM involves the aggregation of myeloid-derived suppressor cells (MDSCs), glioma-associated macrophage/microglia (GAM), and regulatory T cells (Tregs). Among these, MDSCs, though constituting a minority (4-8%) of CD45+ cells in GBM, play a central component in fostering immune evasion and propelling tumor progression, angiogenesis, invasion, and metastasis. MDSCs deploy intricate immunosuppressive mechanisms that adapt to the dynamic tumor microenvironment (TME). Understanding the interplay between GBM and MDSCs provides a compelling basis for therapeutic interventions. This review seeks to elucidate the immune regulatory mechanisms inherent in the GBM microenvironment, explore existing therapeutic targets, and consolidate recent insights into MDSC induction and their contribution to GBM immunosuppression. Additionally, the review comprehensively surveys ongoing clinical trials and potential treatment strategies, envisioning a future where targeting MDSCs could reshape the immune landscape of GBM. Through the synergistic integration of immunotherapy with other therapeutic modalities, this approach can establish a multidisciplinary, multi-target paradigm, ultimately improving the prognosis and quality of life in patients with GBM.
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Affiliation(s)
- Hao Lin
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, People's Republic of China
- National Center for Neurological Disorders, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China
- Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Shanghai Clinical Medical Center of Neurosurgery, Neurosurgical Institute of Fudan University, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China
| | - Chaxian Liu
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, People's Republic of China
- National Center for Neurological Disorders, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China
- Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Shanghai Clinical Medical Center of Neurosurgery, Neurosurgical Institute of Fudan University, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China
| | - Ankang Hu
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, People's Republic of China
- National Center for Neurological Disorders, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China
- Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Shanghai Clinical Medical Center of Neurosurgery, Neurosurgical Institute of Fudan University, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China
| | - Duanwu Zhang
- Children's Hospital of Fudan University, and Shanghai Key Laboratory of Medical Epigenetics, International Co-Laboratory of Medical Epigenetics and Metabolism, Ministry of Science and Technology, Institutes of Biomedical Sciences, Fudan University, Shanghai, 200032, People's Republic of China.
| | - Hui Yang
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, People's Republic of China.
- Institute for Translational Brain Research, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China.
- National Center for Neurological Disorders, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China.
- Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Shanghai Clinical Medical Center of Neurosurgery, Neurosurgical Institute of Fudan University, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China.
- State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China.
| | - Ying Mao
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, People's Republic of China.
- National Center for Neurological Disorders, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China.
- Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Shanghai Clinical Medical Center of Neurosurgery, Neurosurgical Institute of Fudan University, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China.
- State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China.
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7
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Johnson AL, Lopez-Bertoni H. Cellular diversity through space and time: adding new dimensions to GBM therapeutic development. Front Genet 2024; 15:1356611. [PMID: 38774283 PMCID: PMC11106394 DOI: 10.3389/fgene.2024.1356611] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Accepted: 04/15/2024] [Indexed: 05/24/2024] Open
Abstract
The current median survival for glioblastoma (GBM) patients is only about 16 months, with many patients succumbing to the disease in just a matter of months, making it the most common and aggressive primary brain cancer in adults. This poor outcome is, in part, due to the lack of new treatment options with only one FDA-approved treatment in the last decade. Advances in sequencing techniques and transcriptomic analyses have revealed a vast degree of heterogeneity in GBM, from inter-patient diversity to intra-tumoral cellular variability. These cutting-edge approaches are providing new molecular insights highlighting a critical role for the tumor microenvironment (TME) as a driver of cellular plasticity and phenotypic heterogeneity. With this expanded molecular toolbox, the influence of TME factors, including endogenous (e.g., oxygen and nutrient availability and interactions with non-malignant cells) and iatrogenically induced (e.g., post-therapeutic intervention) stimuli, on tumor cell states can be explored to a greater depth. There exists a critical need for interrogating the temporal and spatial aspects of patient tumors at a high, cell-level resolution to identify therapeutically targetable states, interactions and mechanisms. In this review, we discuss advancements in our understanding of spatiotemporal diversity in GBM with an emphasis on the influence of hypoxia and immune cell interactions on tumor cell heterogeneity. Additionally, we describe specific high-resolution spatially resolved methodologies and their potential to expand the impact of pre-clinical GBM studies. Finally, we highlight clinical attempts at targeting hypoxia- and immune-related mechanisms of malignancy and the potential therapeutic opportunities afforded by single-cell and spatial exploration of GBM patient specimens.
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Affiliation(s)
- Amanda L. Johnson
- Hugo W. Moser Research Institute at Kennedy Krieger, Baltimore, MD, United States
- Department of Neurology, Baltimore, MD, United States
| | - Hernando Lopez-Bertoni
- Hugo W. Moser Research Institute at Kennedy Krieger, Baltimore, MD, United States
- Department of Neurology, Baltimore, MD, United States
- Oncology, Baltimore, MD, United States
- Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins University School of Medicine, Baltimore, MD, United States
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8
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Peshoff MM, Gupta P, Oberai S, Trivedi R, Katayama H, Chakrapani P, Dang M, Migliozzi S, Gumin J, Kadri DB, Lin JK, Milam NK, Maynard ME, Vaillant BD, Parker-Kerrigan B, Lang FF, Huse JT, Iavarone A, Wang L, Clise-Dwyer K, Bhat KP. Triggering receptor expressed on myeloid cells 2 (TREM2) regulates phagocytosis in glioblastoma. Neuro Oncol 2024; 26:826-839. [PMID: 38237157 PMCID: PMC11066944 DOI: 10.1093/neuonc/noad257] [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: 04/03/2023] [Indexed: 01/30/2024] Open
Abstract
BACKGROUND Glioblastomas (GBMs) are central nervous system tumors that resist standard-of-care interventions and even immune checkpoint blockade. Myeloid cells in the tumor microenvironment can contribute to GBM progression; therefore, emerging immunotherapeutic approaches include reprogramming these cells to achieve desirable antitumor activity. Triggering receptor expressed on myeloid cells 2 (TREM2) is a myeloid signaling regulator that has been implicated in a variety of cancers and neurological diseases with contrasting functions, but its role in GBM immunopathology and progression is still under investigation. METHODS Our reverse translational investigations leveraged single-cell RNA sequencing and cytometry of human gliomas to characterize TREM2 expression across myeloid subpopulations. Using 2 distinct murine glioma models, we examined the role of Trem2 on tumor progression and immune modulation of myeloid cells. Furthermore, we designed a method of tracking phagocytosis of glioma cells in vivo and employed in vitro assays to mechanistically understand the influence of TREM2 signaling on tumor uptake. RESULTS We discovered that TREM2 expression does not correlate with immunosuppressive pathways, but rather showed strong a positive association with the canonical phagocytosis markers lysozyme (LYZ) and macrophage scavenger receptor (CD163) in gliomas. While Trem2 deficiency was found to be dispensable for gliomagenesis, Trem2+ myeloid cells display enhanced tumor uptake compared to Trem2- cells. Mechanistically, we demonstrate that TREM2 mediates phagocytosis via Syk signaling. CONCLUSIONS These results indicate that TREM2 is not associated with immunosuppression in gliomas. Instead, TREM2 is an important regulator of phagocytosis that may be exploited as a potential therapeutic strategy for brain tumors.
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Affiliation(s)
- Mekenzie M Peshoff
- Department of Translational Molecular Pathology, Neurosurgery at the University of Texas MD Anderson Cancer Center, Houston, Texas, USA
- Department of Translational Molecular Pathology, The University of Texas, MD Anderson Cancer Center, UTHealth Houston Graduate School of Biomedical Sciences, Houston, Texas, USA
| | - Pravesh Gupta
- Department of Translational Molecular Pathology, Neurosurgery at the University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Shivangi Oberai
- Department of Translational Molecular Pathology, Neurosurgery at the University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Rakesh Trivedi
- Department of Translational Molecular Pathology, Neurosurgery at the University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Hiroshi Katayama
- Department of Translational Molecular Pathology, Neurosurgery at the University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Prashanth Chakrapani
- Department of Translational Molecular Pathology, Neurosurgery at the University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Minghao Dang
- Department of Genomic Medicine, Neurosurgery at the University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Simona Migliozzi
- Department of Neurological Surgery, Sylvester Comprehensive Cancer Center at the University of Miami Miller School of Medicine, Miami, Florida, USA
| | - Joy Gumin
- Department of Translational Molecular Pathology, Neurosurgery at the University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Divya B Kadri
- Department of Translational Molecular Pathology, Neurosurgery at the University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Jessica K Lin
- Department of Translational Molecular Pathology, Neurosurgery at the University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Nancy K Milam
- Department of Translational Molecular Pathology, Neurosurgery at the University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Mark E Maynard
- Department of Electrical and Computer Engineering, University of Houston, Houston, Texas, USA
| | - Brian D Vaillant
- Departments of Translational Molecular Pathology, Dell Medical School, University of Texas at Austin, Austin, Texas, USA
| | - Brittany Parker-Kerrigan
- Department of Translational Molecular Pathology, Neurosurgery at the University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Frederick F Lang
- Department of Translational Molecular Pathology, Neurosurgery at the University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Jason T Huse
- Department of Translational Molecular Pathology, Neurosurgery at the University of Texas MD Anderson Cancer Center, Houston, Texas, USA
- Department of Translational Molecular Pathology, The University of Texas, MD Anderson Cancer Center, UTHealth Houston Graduate School of Biomedical Sciences, Houston, Texas, USA
| | - Antonio Iavarone
- Department of Neurological Surgery, Sylvester Comprehensive Cancer Center at the University of Miami Miller School of Medicine, Miami, Florida, USA
| | - Linghua Wang
- Department of Genomic Medicine, Neurosurgery at the University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Karen Clise-Dwyer
- Department of Hematopoietic Biology & Malignancy, Neurosurgery at the University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Krishna P Bhat
- Department of Translational Molecular Pathology, Neurosurgery at the University of Texas MD Anderson Cancer Center, Houston, Texas, USA
- Department of Translational Molecular Pathology, The University of Texas, MD Anderson Cancer Center, UTHealth Houston Graduate School of Biomedical Sciences, Houston, Texas, USA
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9
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Picca A, Touat M, Belin L, Gourmelon C, Harlay V, Cuzzubbo S, Cohen-Jonathan Moyal E, Bronnimann C, Di Stefano AL, Laurent I, Lerond J, Carpentier C, Bielle F, Ducray F, Dehais C. REVOLUMAB: A phase II trial of nivolumab in recurrent IDH mutant high-grade gliomas. Eur J Cancer 2024; 202:114034. [PMID: 38537315 DOI: 10.1016/j.ejca.2024.114034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2024] [Accepted: 03/20/2024] [Indexed: 04/21/2024]
Abstract
BACKGROUND Novel effective treatments are needed for recurrent IDH mutant high-grade gliomas (IDHm HGGs). The aim of the multicentric, single-arm, phase II REVOLUMAB trial (NCT03925246) was to assess the efficacy and safety of the anti-PD1 Nivolumab in patients with recurrent IDHm HGGs. PATIENTS AND METHODS Adult patients with IDHm WHO grade 3-4 gliomas recurring after radiotherapy and ≥ 1 line of alkylating chemotherapy were treated with intravenous Nivolumab until end of treatment (12 months), progression, unacceptable toxicity, or death. The primary endpoint was the 24-week progression-free survival rate (24w-PFS) according to RANO criteria. RESULTS From July 2019 to June 2020, 39 patients with recurrent IDHm HGGs (twenty-one grade 3, thirteen grade 4, five grade 2 with radiological evidence of anaplastic transformation; 39% 1p/19q codeleted) were enrolled. Median time since diagnosis was 5.7 years, and the median number of previous systemic treatments was two. The 24w-PFS was 28.2% (11/39, CI95% 15-44.9%). Median PFS and OS were 1.84 (CI95% 1.81-5.89) and 14.7 months (CI95% 9.18-NR), respectively. Four patients (10.3%) achieved partial response according to RANO criteria. There were no significant differences in clinical or histomolecular features between responders and non-responders. The safety profile of Nivolumab was consistent with prior studies. CONCLUSIONS We report the results of the first trial of immune checkpoint inhibitors in IDHm gliomas. Nivolumab failed to achieve its primary endpoint. However, treatment was well tolerated, and long-lasting responses were observed in a subset of patients, supporting further evaluation in combination with other agents (e.g. IDH inhibitors).
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Affiliation(s)
- Alberto Picca
- Service de Neuro-oncologie, Institut de Neurologie, AP-HP, Hôpital de la Pitié-Salpêtrière, Paris, France; Sorbonne Université, Inserm, CNRS, UMR S 1127, Paris Brain Institute (ICM), Paris, France
| | - Mehdi Touat
- Service de Neuro-oncologie, Institut de Neurologie, AP-HP, Hôpital de la Pitié-Salpêtrière, Paris, France; Sorbonne Université, Inserm, CNRS, UMR S 1127, Paris Brain Institute (ICM), Paris, France
| | - Lisa Belin
- Sorbonne Université, INSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique, Département de Santé Publique, Unité de Recherche Clinique PSL-CFX, CIC-1901, AP-HP, Hôpital de la Pitié-Salpêtrière, Paris, France
| | - Carole Gourmelon
- Department of Medical Oncology, Institut de Cancérologie de l'Ouest, Nantes, France
| | - Vincent Harlay
- Department of Neuro-Oncology, AP-HM, University Hospital Timone, Marseille, France
| | - Stefania Cuzzubbo
- Department of Neurology, Hôpital Saint-Louis, Université Paris Cité, APHP, Paris, France
| | - Elizabeth Cohen-Jonathan Moyal
- Department of Radiotherapy, Oncopole Claudius Regaud, Cancer University Institute of Toulouse, Oncopole Paul Sabatier University, Toulouse III, Cancer Research Center of Toulouse (CRCT), Toulouse, France
| | - Charlotte Bronnimann
- Hôpital Saint-André Bordeaux, Centre Hospitalier Universitaire, Service d'Oncologie, 33000 Bordeaux, France
| | - Anna Luisa Di Stefano
- Department of Neurology, Foch Hospital, 92150 Suresnes, France; Division of Neurosurgery, Spedali Riuniti di Livorno-USL Toscana Nord-Ovest, 57124 Livorno, Italy
| | - Isaura Laurent
- Unité de Recherche Clinique PSL-CFX, CIC-1901, AP-HP, Hôpital de la Pitié-Salpêtrière, Paris, France
| | - Julie Lerond
- Sorbonne Université, Inserm, CNRS, UMR S 1127, Paris Brain Institute (ICM), Paris, France
| | - Catherine Carpentier
- Sorbonne Université, Inserm, CNRS, UMR S 1127, Paris Brain Institute (ICM), Paris, France
| | - Franck Bielle
- Sorbonne Université, Inserm, CNRS, UMR S 1127, Paris Brain Institute (ICM), Paris, France; Department of Neuropathology, AP-HP, Hôpital de la Pitié-Salpêtrière, Paris, France
| | - François Ducray
- Department of Neuro-Oncology, East Group Hospital, Hospices Civils de Lyon, Lyon, France
| | - Caroline Dehais
- Service de Neuro-oncologie, Institut de Neurologie, AP-HP, Hôpital de la Pitié-Salpêtrière, Paris, France; Sorbonne Université, Inserm, CNRS, UMR S 1127, Paris Brain Institute (ICM), Paris, France.
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10
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Thenuwara G, Javed B, Singh B, Tian F. Biosensor-Enhanced Organ-on-a-Chip Models for Investigating Glioblastoma Tumor Microenvironment Dynamics. SENSORS (BASEL, SWITZERLAND) 2024; 24:2865. [PMID: 38732975 PMCID: PMC11086276 DOI: 10.3390/s24092865] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/05/2024] [Revised: 04/19/2024] [Accepted: 04/27/2024] [Indexed: 05/13/2024]
Abstract
Glioblastoma, an aggressive primary brain tumor, poses a significant challenge owing to its dynamic and intricate tumor microenvironment. This review investigates the innovative integration of biosensor-enhanced organ-on-a-chip (OOC) models as a novel strategy for an in-depth exploration of glioblastoma tumor microenvironment dynamics. In recent years, the transformative approach of incorporating biosensors into OOC platforms has enabled real-time monitoring and analysis of cellular behaviors within a controlled microenvironment. Conventional in vitro and in vivo models exhibit inherent limitations in accurately replicating the complex nature of glioblastoma progression. This review addresses the existing research gap by pioneering the integration of biosensor-enhanced OOC models, providing a comprehensive platform for investigating glioblastoma tumor microenvironment dynamics. The applications of this combined approach in studying glioblastoma dynamics are critically scrutinized, emphasizing its potential to bridge the gap between simplistic models and the intricate in vivo conditions. Furthermore, the article discusses the implications of biosensor-enhanced OOC models in elucidating the dynamic features of the tumor microenvironment, encompassing cell migration, proliferation, and interactions. By furnishing real-time insights, these models significantly contribute to unraveling the complex biology of glioblastoma, thereby influencing the development of more accurate diagnostic and therapeutic strategies.
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Affiliation(s)
- Gayathree Thenuwara
- School of Food Science and Environmental Health, Technological University Dublin, Grangegorman Lower, D07 H6K8 Dublin, Ireland; (G.T.); (B.J.)
- Institute of Biochemistry, Molecular Biology, and Biotechnology, University of Colombo, Colombo 00300, Sri Lanka
| | - Bilal Javed
- School of Food Science and Environmental Health, Technological University Dublin, Grangegorman Lower, D07 H6K8 Dublin, Ireland; (G.T.); (B.J.)
- Nanolab Research Centre, FOCAS Research Institute, Technological University Dublin, Camden Row, D08 CKP1 Dublin, Ireland
| | - Baljit Singh
- MiCRA Biodiagnostics Technology Gateway, Technological University Dublin (TU Dublin), D24 FKT9 Dublin, Ireland;
| | - Furong Tian
- School of Food Science and Environmental Health, Technological University Dublin, Grangegorman Lower, D07 H6K8 Dublin, Ireland; (G.T.); (B.J.)
- Nanolab Research Centre, FOCAS Research Institute, Technological University Dublin, Camden Row, D08 CKP1 Dublin, Ireland
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11
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Licón-Muñoz Y, Avalos V, Subramanian S, Granger B, Martinez F, Varela S, Moore D, Perkins E, Kogan M, Berto S, Chohan M, Bowers C, Piccirillo S. Single-nucleus and spatial landscape of the sub-ventricular zone in human glioblastoma. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.04.24.590852. [PMID: 38712234 PMCID: PMC11071523 DOI: 10.1101/2024.04.24.590852] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/08/2024]
Abstract
The sub-ventricular zone (SVZ) is the most well-characterized neurogenic area in the mammalian brain. We previously showed that in 65% of patients with glioblastoma (GBM), the SVZ is a reservoir of cancer stem-like cells that contribute to treatment resistance and emergence of recurrence. Here, we built a single-nucleus RNA-sequencing-based microenvironment landscape of the tumor mass (T_Mass) and the SVZ (T_SVZ) of 15 GBM patients and 2 histologically normal SVZ (N_SVZ) samples as controls. We identified a mesenchymal signature in the T_SVZ of GBM patients: tumor cells from the T_SVZ relied on the ZEB1 regulatory network, whereas tumor cells in the T_Mass relied on the TEAD1 regulatory network. Moreover, the T_SVZ microenvironment was predominantly characterized by tumor-supportive microglia, which spatially co-exist and establish heterotypic interactions with tumor cells. Lastly, differential gene expression analyses, predictions of ligand-receptor and incoming/outgoing interactions, and functional assays revealed that the IL-1β/IL-1RAcP and Wnt-5a/Frizzled-3 pathways are therapeutic targets in the T_SVZ microenvironment. Our data provide insights into the biology of the SVZ in GBM patients and identify specific targets of this microenvironment.
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Affiliation(s)
- Y. Licón-Muñoz
- The Brain Tumor Translational Laboratory, Department of Cell Biology and Physiology, University of New Mexico Health Sciences Center, Albuquerque, NM
- University of New Mexico Comprehensive Cancer Center, Albuquerque, NM
| | - V. Avalos
- The Brain Tumor Translational Laboratory, Department of Cell Biology and Physiology, University of New Mexico Health Sciences Center, Albuquerque, NM
- University of New Mexico Comprehensive Cancer Center, Albuquerque, NM
| | - S. Subramanian
- Bioinformatics Core, Department of Neuroscience, Medical University of South Carolina, Charleston, SC
- Neurogenomics Laboratory, Department of Neuroscience, Medical University of South Carolina, Charleston, SC
| | - B. Granger
- Bioinformatics Core, Department of Neuroscience, Medical University of South Carolina, Charleston, SC
- Neurogenomics Laboratory, Department of Neuroscience, Medical University of South Carolina, Charleston, SC
| | - F. Martinez
- The Brain Tumor Translational Laboratory, Department of Cell Biology and Physiology, University of New Mexico Health Sciences Center, Albuquerque, NM
- University of New Mexico Comprehensive Cancer Center, Albuquerque, NM
| | - S. Varela
- University of New Mexico School of Medicine, Albuquerque, NM
| | - D. Moore
- Bioinformatics Core, Department of Neuroscience, Medical University of South Carolina, Charleston, SC
- Neurogenomics Laboratory, Department of Neuroscience, Medical University of South Carolina, Charleston, SC
| | - E. Perkins
- Department of Neurosurgery, University of Mississippi Medical Center, Jackson, MS
| | - M. Kogan
- Department of Neurosurgery, University of New Mexico Hospital, Albuquerque, NM
| | - S. Berto
- Bioinformatics Core, Department of Neuroscience, Medical University of South Carolina, Charleston, SC
- Neurogenomics Laboratory, Department of Neuroscience, Medical University of South Carolina, Charleston, SC
| | - M.O. Chohan
- Department of Neurosurgery, University of Mississippi Medical Center, Jackson, MS
| | - C.A. Bowers
- Department of Neurosurgery, University of New Mexico Hospital, Albuquerque, NM
| | - S.G.M. Piccirillo
- The Brain Tumor Translational Laboratory, Department of Cell Biology and Physiology, University of New Mexico Health Sciences Center, Albuquerque, NM
- University of New Mexico Comprehensive Cancer Center, Albuquerque, NM
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12
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Du Q, An Q, Zhang J, Liu C, Hu Q. Unravelling immune microenvironment features underlying tumor progression in the single-cell era. Cancer Cell Int 2024; 24:143. [PMID: 38649887 PMCID: PMC11036673 DOI: 10.1186/s12935-024-03335-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Accepted: 04/18/2024] [Indexed: 04/25/2024] Open
Abstract
The relationship between the immune cell and tumor occurrence and progression remains unclear. Profiling alterations in the tumor immune microenvironment (TIME) at high resolution is crucial to identify factors influencing cancer progression and enhance the effectiveness of immunotherapy. However, traditional sequencing methods, including bulk RNA sequencing, exhibit varying degrees of masking the cellular heterogeneity and immunophenotypic changes observed in early and late-stage tumors. Single-cell RNA sequencing (scRNA-seq) has provided significant and precise TIME landscapes. Consequently, this review has highlighted TIME cellular and molecular changes in tumorigenesis and progression elucidated through recent scRNA-seq studies. Specifically, we have summarized the cellular heterogeneity of TIME at different stages, including early, late, and metastatic stages. Moreover, we have outlined the related variations that may promote tumor occurrence and metastasis in the single-cell era. The widespread applications of scRNA-seq in TIME will comprehensively redefine the understanding of tumor biology and furnish more effective immunotherapy strategies.
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Affiliation(s)
- Qilian Du
- Department of Oncology, Renmin Hospital of Wuhan University, Wuhan, 430060, China
| | - Qi An
- Department of Oncology, Renmin Hospital of Wuhan University, Wuhan, 430060, China
| | - Jiajun Zhang
- Department of Oncology, Renmin Hospital of Wuhan University, Wuhan, 430060, China
| | - Chao Liu
- Department of Radiation Oncology, Peking University First Hospital, Beijing, 100034, China.
| | - Qinyong Hu
- Department of Oncology, Renmin Hospital of Wuhan University, Wuhan, 430060, China.
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13
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Guo Y, Zhou Q, Wei M, Fan J, Huang H. Association of TNFRSF19 with a TNF family-based prognostic model and subtypes in gliomas using machine learning. Heliyon 2024; 10:e28445. [PMID: 38560169 PMCID: PMC10979244 DOI: 10.1016/j.heliyon.2024.e28445] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2023] [Revised: 03/18/2024] [Accepted: 03/19/2024] [Indexed: 04/04/2024] Open
Abstract
Purpose TNF family members (TFMs) play a crucial role in different types of cancers, with TNF Receptor Superfamily Member 19 (TNFRSF19) standing out as a particularly important member in this category. Further research is necessary to investigate the potential impact of TFMs on prognosis prediction and to elucidate the function and potential therapeutic targets linked to TNFRSF19 expression in gliomas. Methods Three databases provided the data on gene expression and clinical information. Fourteen prognostic members were found through univariate Cox analysis and subsequently utilized to construct TFMs-based model in LASSO and multivariate Cox analyses. TFMs-based subtypes based on the expression profile were identified using an unsupervised clustering method. Machine learning algorithm identified key genes linked to prognostic model and subtype. A sequence of immune infiltrations was evaluated using the ssGSEA and ESTIMATE algorithms. Immunohistochemistry was used to examine the patterns of expression and the clinical significance of TNFRSF19. Results Our development of a prognostic model and subtypes based on the TNF family was successful, resulting in accurate predictions of prognosis. The findings indicate that TNFRSF19 exhibited strong performance. Upregulation of TNFRSF19 was correlated with malignant phenotypes and poor prognosis, which was confirmed through immunohistochemistry. TNFRSF19 played a role in reshaping the immunosuppressive microenvironment in gliomas, and multiple drug-targeted TNFRSF19 molecules were identified. Conclusions The TMF-based prognostic model and subtype can facilitate treatment decisions for glioma. TNFRSF19 is an outstanding representative of a predictor of prognosis and immunotherapy effect in gliomas.
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Affiliation(s)
- Youwei Guo
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, Hunan Province, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Quanwei Zhou
- The National Key Clinical Specialty, The Engineering Technology Research Center of Education Ministry of China, Guangdong Provincial Key Laboratory on Brain Function Repair and Regeneration, Department of Neurosurgery, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, China
| | - Min Wei
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan Province, China
| | - Jianfeng Fan
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, Hunan Province, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - He Huang
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, Hunan Province, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
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14
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Liao J, Gong L, Xu Q, Wang J, Yang Y, Zhang S, Dong J, Lin K, Liang Z, Sun Y, Mu Y, Chen Z, Lu Y, Zhang Q, Lin Z. Revolutionizing Neurocare: Biomimetic Nanodelivery Via Cell Membranes. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2024:e2402445. [PMID: 38583077 DOI: 10.1002/adma.202402445] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/16/2024] [Revised: 04/01/2024] [Indexed: 04/08/2024]
Abstract
Brain disorders represent a significant challenge in medical science due to the formidable blood-brain barrier (BBB), which severely limits the penetration of conventional therapeutics, hindering effective treatment strategies. This review delves into the innovative realm of biomimetic nanodelivery systems, including stem cell-derived nanoghosts, tumor cell membrane-coated nanoparticles, and erythrocyte membrane-based carriers, highlighting their potential to circumvent the BBB's restrictions. By mimicking native cell properties, these nanocarriers emerge as a promising solution for enhancing drug delivery to the brain, offering a strategic advantage in overcoming the barrier's selective permeability. The unique benefits of leveraging cell membranes from various sources is evaluated and advanced technologies for fabricating cell membrane-encapsulated nanoparticles capable of masquerading as endogenous cells are examined. This enables the targeted delivery of a broad spectrum of therapeutic agents, ranging from small molecule drugs to proteins, thereby providing an innovative approach to neurocare. Further, the review contrasts the capabilities and limitations of these biomimetic nanocarriers with traditional delivery methods, underlining their potential to enable targeted, sustained, and minimally invasive treatment modalities. This review is concluded with a perspective on the clinical translation of these biomimetic systems, underscoring their transformative impact on the therapeutic landscape for intractable brain diseases.
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Affiliation(s)
- Jun Liao
- Institute of Systems Biomedicine, Beijing Key Laboratory of Tumor Systems Biology, School of Basic Medical Sciences, Peking University, Beijing, 100191, China
| | - Lidong Gong
- Institute of Systems Biomedicine, Beijing Key Laboratory of Tumor Systems Biology, School of Basic Medical Sciences, Peking University, Beijing, 100191, China
| | - Qingqiang Xu
- Department of Pharmaceutics, School of Pharmacy, Naval Medical University, Shanghai, 200433, China
| | - Jingya Wang
- Institute of Systems Biomedicine, Beijing Key Laboratory of Tumor Systems Biology, School of Basic Medical Sciences, Peking University, Beijing, 100191, China
| | - Yuanyuan Yang
- Institute of Systems Biomedicine, Beijing Key Laboratory of Tumor Systems Biology, School of Basic Medical Sciences, Peking University, Beijing, 100191, China
| | - Shiming Zhang
- Institute of Systems Biomedicine, Beijing Key Laboratory of Tumor Systems Biology, School of Basic Medical Sciences, Peking University, Beijing, 100191, China
| | - Junwei Dong
- Institute of Systems Biomedicine, Beijing Key Laboratory of Tumor Systems Biology, School of Basic Medical Sciences, Peking University, Beijing, 100191, China
| | - Kerui Lin
- Institute of Systems Biomedicine, Beijing Key Laboratory of Tumor Systems Biology, School of Basic Medical Sciences, Peking University, Beijing, 100191, China
| | - Zichao Liang
- Institute of Systems Biomedicine, Beijing Key Laboratory of Tumor Systems Biology, School of Basic Medical Sciences, Peking University, Beijing, 100191, China
| | - Yuhan Sun
- Department of Pharmaceutics, School of Pharmacy, Naval Medical University, Shanghai, 200433, China
| | - Yongxu Mu
- The First Affiliated Hospital of Baotou Medical College, Inner Mongolia University of Science and Technology, Baotou, 014040, China
| | - Zhengju Chen
- Pooling Medical Research Institutes of 100Biotech, Beijing, 100006, China
| | - Ying Lu
- Department of Pharmaceutics, School of Pharmacy, Naval Medical University, Shanghai, 200433, China
| | - Qiang Zhang
- Department of Pharmaceutics, School of Pharmaceutical Sciences, Peking University, Beijing, 100191, China
| | - Zhiqiang Lin
- Institute of Systems Biomedicine, Beijing Key Laboratory of Tumor Systems Biology, School of Basic Medical Sciences, Peking University, Beijing, 100191, China
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15
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Yabo YA, Moreno-Sanchez PM, Pires-Afonso Y, Kaoma T, Nosirov B, Scafidi A, Ermini L, Lipsa A, Oudin A, Kyriakis D, Grzyb K, Poovathingal SK, Poli A, Muller A, Toth R, Klink B, Berchem G, Berthold C, Hertel F, Mittelbronn M, Heiland DH, Skupin A, Nazarov PV, Niclou SP, Michelucci A, Golebiewska A. Glioblastoma-instructed microglia transition to heterogeneous phenotypic states with phagocytic and dendritic cell-like features in patient tumors and patient-derived orthotopic xenografts. Genome Med 2024; 16:51. [PMID: 38566128 PMCID: PMC10988817 DOI: 10.1186/s13073-024-01321-8] [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: 12/14/2023] [Accepted: 03/22/2024] [Indexed: 04/04/2024] Open
Abstract
BACKGROUND A major contributing factor to glioblastoma (GBM) development and progression is its ability to evade the immune system by creating an immune-suppressive environment, where GBM-associated myeloid cells, including resident microglia and peripheral monocyte-derived macrophages, play critical pro-tumoral roles. However, it is unclear whether recruited myeloid cells are phenotypically and functionally identical in GBM patients and whether this heterogeneity is recapitulated in patient-derived orthotopic xenografts (PDOXs). A thorough understanding of the GBM ecosystem and its recapitulation in preclinical models is currently missing, leading to inaccurate results and failures of clinical trials. METHODS Here, we report systematic characterization of the tumor microenvironment (TME) in GBM PDOXs and patient tumors at the single-cell and spatial levels. We applied single-cell RNA sequencing, spatial transcriptomics, multicolor flow cytometry, immunohistochemistry, and functional studies to examine the heterogeneous TME instructed by GBM cells. GBM PDOXs representing different tumor phenotypes were compared to glioma mouse GL261 syngeneic model and patient tumors. RESULTS We show that GBM tumor cells reciprocally interact with host cells to create a GBM patient-specific TME in PDOXs. We detected the most prominent transcriptomic adaptations in myeloid cells, with brain-resident microglia representing the main population in the cellular tumor, while peripheral-derived myeloid cells infiltrated the brain at sites of blood-brain barrier disruption. More specifically, we show that GBM-educated microglia undergo transition to diverse phenotypic states across distinct GBM landscapes and tumor niches. GBM-educated microglia subsets display phagocytic and dendritic cell-like gene expression programs. Additionally, we found novel microglial states expressing cell cycle programs, astrocytic or endothelial markers. Lastly, we show that temozolomide treatment leads to transcriptomic plasticity and altered crosstalk between GBM tumor cells and adjacent TME components. CONCLUSIONS Our data provide novel insights into the phenotypic adaptation of the heterogeneous TME instructed by GBM tumors. We show the key role of microglial phenotypic states in supporting GBM tumor growth and response to treatment. Our data place PDOXs as relevant models to assess the functionality of the TME and changes in the GBM ecosystem upon treatment.
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Affiliation(s)
- Yahaya A Yabo
- NORLUX Neuro-Oncology Laboratory, Department of Cancer Research, Luxembourg Institute of Health (LIH), L-1210, Luxembourg, Luxembourg
- Department of Life Sciences and Medicine, Faculty of Science, Technology and Medicine (FSTM), University of Luxembourg, L-4367, Belvaux, Luxembourg
| | - Pilar M Moreno-Sanchez
- NORLUX Neuro-Oncology Laboratory, Department of Cancer Research, Luxembourg Institute of Health (LIH), L-1210, Luxembourg, Luxembourg
- Department of Life Sciences and Medicine, Faculty of Science, Technology and Medicine (FSTM), University of Luxembourg, L-4367, Belvaux, Luxembourg
| | - Yolanda Pires-Afonso
- Department of Life Sciences and Medicine, Faculty of Science, Technology and Medicine (FSTM), University of Luxembourg, L-4367, Belvaux, Luxembourg
- Neuro-Immunology Group, Department of Cancer Research, Luxembourg Institute of Health, L-1210, Luxembourg, Luxembourg
| | - Tony Kaoma
- Bioinformatics Platform, Department of Medical Informatics, Luxembourg Institute of Health, L-1445, Strassen, Luxembourg
| | - Bakhtiyor Nosirov
- NORLUX Neuro-Oncology Laboratory, Department of Cancer Research, Luxembourg Institute of Health (LIH), L-1210, Luxembourg, Luxembourg
- Multiomics Data Science, Department of Cancer Research, Luxembourg Institute of Health, L-1445, Strassen, Luxembourg
| | - Andrea Scafidi
- Department of Life Sciences and Medicine, Faculty of Science, Technology and Medicine (FSTM), University of Luxembourg, L-4367, Belvaux, Luxembourg
- Neuro-Immunology Group, Department of Cancer Research, Luxembourg Institute of Health, L-1210, Luxembourg, Luxembourg
| | - Luca Ermini
- NORLUX Neuro-Oncology Laboratory, Department of Cancer Research, Luxembourg Institute of Health (LIH), L-1210, Luxembourg, Luxembourg
| | - Anuja Lipsa
- NORLUX Neuro-Oncology Laboratory, Department of Cancer Research, Luxembourg Institute of Health (LIH), L-1210, Luxembourg, Luxembourg
| | - Anaïs Oudin
- NORLUX Neuro-Oncology Laboratory, Department of Cancer Research, Luxembourg Institute of Health (LIH), L-1210, Luxembourg, Luxembourg
| | - Dimitrios Kyriakis
- Department of Life Sciences and Medicine, Faculty of Science, Technology and Medicine (FSTM), University of Luxembourg, L-4367, Belvaux, Luxembourg
- Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, L-4362, Esch-sur-Alzette, Luxembourg
| | - Kamil Grzyb
- Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, L-4362, Esch-sur-Alzette, Luxembourg
| | - Suresh K Poovathingal
- Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, L-4362, Esch-sur-Alzette, Luxembourg
- Single Cell Analytics & Microfluidics Core, Vlaams Instituut Voor Biotechnologie-KU Leuven, 3000, Louvain, Belgium
| | - Aurélie Poli
- Neuro-Immunology Group, Department of Cancer Research, Luxembourg Institute of Health, L-1210, Luxembourg, Luxembourg
| | - Arnaud Muller
- Bioinformatics Platform, Department of Medical Informatics, Luxembourg Institute of Health, L-1445, Strassen, Luxembourg
| | - Reka Toth
- Bioinformatics Platform, Department of Medical Informatics, Luxembourg Institute of Health, L-1445, Strassen, Luxembourg
- Multiomics Data Science, Department of Cancer Research, Luxembourg Institute of Health, L-1445, Strassen, Luxembourg
| | - Barbara Klink
- National Center of Genetics, Laboratoire National de Santé, L-3555, Dudelange, Luxembourg
- Department of Cancer Research, Luxembourg Institute of Health, L-1210, Luxembourg, Luxembourg
- German Cancer Consortium (DKTK): Core Unit for Molecular Tumor Diagnostics (CMTD), National Center for Tumor Diseases (NCT/UCC), Cancer Consortium (DKTK) Partner Site Dresden, and German Cancer Research Center (DKFZ), Dresden, Heidelberg, 01307, Germany
- Institute for Clinical Genetics, Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, 01307, Dresden, Germany
| | - Guy Berchem
- Department of Life Sciences and Medicine, Faculty of Science, Technology and Medicine (FSTM), University of Luxembourg, L-4367, Belvaux, Luxembourg
- Department of Cancer Research, Luxembourg Institute of Health, L-1210, Luxembourg, Luxembourg
- Centre Hospitalier Luxembourg, L-1210, Luxembourg, Luxembourg
| | | | - Frank Hertel
- Centre Hospitalier Luxembourg, L-1210, Luxembourg, Luxembourg
| | - Michel Mittelbronn
- Department of Life Sciences and Medicine, Faculty of Science, Technology and Medicine (FSTM), University of Luxembourg, L-4367, Belvaux, Luxembourg
- Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, L-4362, Esch-sur-Alzette, Luxembourg
- Department of Cancer Research, Luxembourg Institute of Health, L-1210, Luxembourg, Luxembourg
- Luxembourg Center of Neuropathology (LCNP), L-3555, Dudelange, Luxembourg
- National Center of Pathology (NCP), Laboratoire National de Santé, L-3555, Dudelange, Luxembourg
| | - Dieter H Heiland
- Translational Neurosurgery, Friedrich-Alexander University Erlangen Nuremberg, 91054, Erlangen, Germany
- Department of Neurosurgery, University Hospital Erlangen, Friedrich-Alexander University Erlangen Nuremberg, 91054, Erlangen, Germany
- Department of Neurological Surgery, Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA
- Department of Neurosurgery, Medical Center, University of Freiburg, 79106, Freiburg, Germany
- German Cancer Consortium (DKTK), Partner Site Freiburg, 79106, Freiburg, Germany
| | - Alexander Skupin
- Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, L-4362, Esch-sur-Alzette, Luxembourg
- Department of Physics and Material Science, University Luxembourg, L-4367, Belvaux, Luxembourg
- Department of Neuroscience, University of California San Diego, La Jolla, CA, 92093, USA
| | - Petr V Nazarov
- Bioinformatics Platform, Department of Medical Informatics, Luxembourg Institute of Health, L-1445, Strassen, Luxembourg
- Multiomics Data Science, Department of Cancer Research, Luxembourg Institute of Health, L-1445, Strassen, Luxembourg
| | - Simone P Niclou
- NORLUX Neuro-Oncology Laboratory, Department of Cancer Research, Luxembourg Institute of Health (LIH), L-1210, Luxembourg, Luxembourg
- Department of Life Sciences and Medicine, Faculty of Science, Technology and Medicine (FSTM), University of Luxembourg, L-4367, Belvaux, Luxembourg
| | - Alessandro Michelucci
- NORLUX Neuro-Oncology Laboratory, Department of Cancer Research, Luxembourg Institute of Health (LIH), L-1210, Luxembourg, Luxembourg.
- Neuro-Immunology Group, Department of Cancer Research, Luxembourg Institute of Health, L-1210, Luxembourg, Luxembourg.
- Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, L-4362, Esch-sur-Alzette, Luxembourg.
| | - Anna Golebiewska
- NORLUX Neuro-Oncology Laboratory, Department of Cancer Research, Luxembourg Institute of Health (LIH), L-1210, Luxembourg, Luxembourg.
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16
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Hu A, Sun L, Lin H, Liao Y, Yang H, Mao Y. Harnessing innate immune pathways for therapeutic advancement in cancer. Signal Transduct Target Ther 2024; 9:68. [PMID: 38523155 PMCID: PMC10961329 DOI: 10.1038/s41392-024-01765-9] [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: 09/14/2023] [Revised: 01/18/2024] [Accepted: 02/03/2024] [Indexed: 03/26/2024] Open
Abstract
The innate immune pathway is receiving increasing attention in cancer therapy. This pathway is ubiquitous across various cell types, not only in innate immune cells but also in adaptive immune cells, tumor cells, and stromal cells. Agonists targeting the innate immune pathway have shown profound changes in the tumor microenvironment (TME) and improved tumor prognosis in preclinical studies. However, to date, the clinical success of drugs targeting the innate immune pathway remains limited. Interestingly, recent studies have shown that activation of the innate immune pathway can paradoxically promote tumor progression. The uncertainty surrounding the therapeutic effectiveness of targeted drugs for the innate immune pathway is a critical issue that needs immediate investigation. In this review, we observe that the role of the innate immune pathway demonstrates heterogeneity, linked to the tumor development stage, pathway status, and specific cell types. We propose that within the TME, the innate immune pathway exhibits multidimensional diversity. This diversity is fundamentally rooted in cellular heterogeneity and is manifested as a variety of signaling networks. The pro-tumor effect of innate immune pathway activation essentially reflects the suppression of classical pathways and the activation of potential pro-tumor alternative pathways. Refining our understanding of the tumor's innate immune pathway network and employing appropriate targeting strategies can enhance our ability to harness the anti-tumor potential of the innate immune pathway and ultimately bridge the gap from preclinical to clinical application.
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Affiliation(s)
- Ankang Hu
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, P.R. China
- Institute for Translational Brain Research, Shanghai Medical College, Fudan University, Shanghai, P.R. China
- National Center for Neurological Disorders, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, P.R. China
- Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Shanghai Clinical Medical Center of Neurosurgery, Neurosurgical Institute of Fudan University, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, P.R. China
- State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Shanghai Medical College, Fudan University, Shanghai, P.R. China
| | - Li Sun
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, P.R. China
- National Center for Neurological Disorders, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, P.R. China
- Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Shanghai Clinical Medical Center of Neurosurgery, Neurosurgical Institute of Fudan University, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, P.R. China
- State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Shanghai Medical College, Fudan University, Shanghai, P.R. China
| | - Hao Lin
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, P.R. China
- National Center for Neurological Disorders, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, P.R. China
- Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Shanghai Clinical Medical Center of Neurosurgery, Neurosurgical Institute of Fudan University, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, P.R. China
- State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Shanghai Medical College, Fudan University, Shanghai, P.R. China
| | - Yuheng Liao
- Shanghai Key Laboratory of Medical Epigenetics, International Co-laboratory of Medical Epigenetics and Metabolism (Ministry of Science and Technology), and Key Laboratory of Metabolism and Molecular Medicine (Ministry of Education), and Molecular and Cell Biology Lab, Institutes of Biomedical Sciences, Shanghai Medical College of Fudan University, Shanghai, P.R. China
| | - Hui Yang
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, P.R. China.
- Institute for Translational Brain Research, Shanghai Medical College, Fudan University, Shanghai, P.R. China.
- National Center for Neurological Disorders, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, P.R. China.
- Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Shanghai Clinical Medical Center of Neurosurgery, Neurosurgical Institute of Fudan University, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, P.R. China.
- State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Shanghai Medical College, Fudan University, Shanghai, P.R. China.
| | - Ying Mao
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, P.R. China.
- National Center for Neurological Disorders, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, P.R. China.
- Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Shanghai Clinical Medical Center of Neurosurgery, Neurosurgical Institute of Fudan University, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, P.R. China.
- State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Shanghai Medical College, Fudan University, Shanghai, P.R. China.
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17
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Chikkamenahalli LL, Jessen E, Bernard CE, Ip WE, Breen-Lyles M, Cipriani G, Pullapantula SR, Li Y, AlAsfoor S, Wilson L, Koch KL, Kuo B, Shulman RJ, Chumpitazi BP, McKenzie TJ, Kellogg TA, Tonascia J, Hamilton FA, Sarosiek I, McCallum R, Parkman HP, Pasricha PJ, Abell TL, Farrugia G, Dasari S, Grover M. Single cell atlas of human gastric muscle immune cells and macrophage-driven changes in idiopathic gastroparesis. iScience 2024; 27:108991. [PMID: 38384852 PMCID: PMC10879712 DOI: 10.1016/j.isci.2024.108991] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2023] [Revised: 11/17/2023] [Accepted: 01/17/2024] [Indexed: 02/23/2024] Open
Abstract
Gastrointestinal immune cells, particularly muscularis macrophages (MM) interact with the enteric nervous system and influence gastrointestinal motility. Here we determine the human gastric muscle immunome and its changes in patients with idiopathic gastroparesis (IG). Single cell sequencing was performed on 26,000 CD45+ cells obtained from the gastric tissue of 20 subjects. We demonstrate 11 immune cell clusters with T cells being most abundant followed by myeloid cells. The proportions of cells belonging to the 11 clusters were similar between IG and controls. However, 9/11 clusters showed 578-11,429 differentially expressed genes. In IG, MM had decreased expression of tissue-protective and microglial genes and increased the expression of monocyte trafficking and stromal activating genes. Furthermore, in IG, IL12 mediated JAK-STAT signaling involved in the activation of tissue-resident macrophages and Eph-ephrin signaling involved in monocyte chemotaxis were upregulated. Patients with IG had a greater abundance of monocyte-like cells. These data further link immune dysregulation to the pathophysiology of gastroparesis.
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Affiliation(s)
| | - Erik Jessen
- Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN, USA
| | - Cheryl E. Bernard
- Division of Gastroenterology and Hepatology, Enteric Neuroscience Program, Mayo Clinic, Rochester, MN, USA
| | - W.K. Eddie Ip
- Department of Immunology, Mayo Clinic, Rochester, MN, USA
| | - Margaret Breen-Lyles
- Division of Gastroenterology and Hepatology, Enteric Neuroscience Program, Mayo Clinic, Rochester, MN, USA
| | - Gianluca Cipriani
- Division of Gastroenterology and Hepatology, Enteric Neuroscience Program, Mayo Clinic, Rochester, MN, USA
| | - Suraj R. Pullapantula
- Division of Gastroenterology and Hepatology, Enteric Neuroscience Program, Mayo Clinic, Rochester, MN, USA
| | - Ying Li
- Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN, USA
| | - Shefaa AlAsfoor
- Division of Gastroenterology and Hepatology, Enteric Neuroscience Program, Mayo Clinic, Rochester, MN, USA
| | - Laura Wilson
- Johns Hopkins University Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | | | - Braden Kuo
- Massachusetts General Hospital, Boston, MA, USA
| | | | | | | | | | - James Tonascia
- Johns Hopkins University Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Frank A. Hamilton
- National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, MD, USA
| | - Irene Sarosiek
- Texas Tech University Health Sciences Center, El Paso, TX, USA
| | | | | | | | | | - Gianrico Farrugia
- Division of Gastroenterology and Hepatology, Enteric Neuroscience Program, Mayo Clinic, Rochester, MN, USA
| | - Surendra Dasari
- Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN, USA
| | - Madhusudan Grover
- Division of Gastroenterology and Hepatology, Enteric Neuroscience Program, Mayo Clinic, Rochester, MN, USA
| | - the NIDDK Gastroparesis Clinical Research Consortium (GpCRC)
- Division of Gastroenterology and Hepatology, Enteric Neuroscience Program, Mayo Clinic, Rochester, MN, USA
- Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN, USA
- Department of Immunology, Mayo Clinic, Rochester, MN, USA
- Johns Hopkins University Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
- Wake Forest University, Winston-Salem, NC, USA
- Massachusetts General Hospital, Boston, MA, USA
- Baylor College of Medicine, Houston, TX, USA
- Duke University, Durham, NC, USA
- Department of Surgery, Mayo Clinic, Rochester, MN, USA
- National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, MD, USA
- Texas Tech University Health Sciences Center, El Paso, TX, USA
- Temple University, Philadelphia, PA, USA
- Mayo Clinic, Scottsdale, AZ, USA
- University of Louisville, Louisville, KY, USA
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18
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Sun R, Jiang H. Border-associated macrophages in the central nervous system. J Neuroinflammation 2024; 21:67. [PMID: 38481312 PMCID: PMC10938757 DOI: 10.1186/s12974-024-03059-x] [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: 01/26/2024] [Accepted: 03/05/2024] [Indexed: 03/17/2024] Open
Abstract
Tissue-resident macrophages play an important role in the local maintenance of homeostasis and immune surveillance. In the central nervous system (CNS), brain macrophages are anatomically divided into parenchymal microglia and non-parenchymal border-associated macrophages (BAMs). Among these immune cell populations, microglia have been well-studied for their roles during development as well as in health and disease. BAMs, mostly located in the choroid plexus, meningeal and perivascular spaces, are now gaining increased attention due to advancements in multi-omics technologies and genetic methodologies. Research on BAMs over the past decade has focused on their ontogeny, immunophenotypes, involvement in various CNS diseases, and potential as therapeutic targets. Unlike microglia, BAMs display mixed origins and distinct self-renewal capacity. BAMs are believed to regulate neuroimmune responses associated with brain barriers and contribute to immune-mediated neuropathology. Notably, BAMs have been observed to function in diverse cerebral pathologies, including Alzheimer's disease, Parkinson's disease, multiple sclerosis, ischemic stroke, and gliomas. The elucidation of the heterogeneity and diverse functions of BAMs during homeostasis and neuroinflammation is mesmerizing, since it may shed light on the precision medicine that emphasizes deep insights into programming cues in the unique brain immune microenvironment. In this review, we delve into the latest findings on BAMs, covering aspects like their origins, self-renewal capacity, adaptability, and implications in different brain disorders.
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Affiliation(s)
- Rui Sun
- Department of Neurological Surgery, Washington University School of Medicine in St. Louis, 660 S. Euclid Ave., Box 8057, St. Louis, MO, 63110, USA.
| | - Haowu Jiang
- Department of Anesthesiology, Washington University Pain Center, Washington University School of Medicine in St. Louis, 660 S. Euclid Ave., CB 8054, St. Louis, MO, 63110, USA.
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19
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Bejarano L, Kauzlaric A, Lamprou E, Lourenco J, Fournier N, Ballabio M, Colotti R, Maas R, Galland S, Massara M, Soukup K, Lilja J, Brouland JP, Hottinger AF, Daniel RT, Hegi ME, Joyce JA. Interrogation of endothelial and mural cells in brain metastasis reveals key immune-regulatory mechanisms. Cancer Cell 2024; 42:378-395.e10. [PMID: 38242126 DOI: 10.1016/j.ccell.2023.12.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Revised: 10/11/2023] [Accepted: 12/20/2023] [Indexed: 01/21/2024]
Abstract
Brain metastasis (BrM) is a common malignancy, predominantly originating from lung, melanoma, and breast cancers. The vasculature is a key component of the BrM tumor microenvironment with critical roles in regulating metastatic seeding and progression. However, the heterogeneity of the major BrM vascular components, namely endothelial and mural cells, is still poorly understood. We perform single-cell and bulk RNA-sequencing of sorted vascular cell types and detect multiple subtypes enriched specifically in BrM compared to non-tumor brain, including previously unrecognized immune regulatory subtypes. We integrate the human data with mouse models, creating a platform to interrogate vascular targets for the treatment of BrM. We find that the CD276 immune checkpoint molecule is significantly upregulated in the BrM vasculature, and anti-CD276 blocking antibodies prolonged survival in preclinical trials. This study provides important insights into the complex interactions between the vasculature, immune cells, and cancer cells, with translational relevance for designing therapeutic interventions.
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Affiliation(s)
- Leire Bejarano
- Department of Oncology, University of Lausanne, Lausanne, Switzerland; Ludwig Institute for Cancer Research, University of Lausanne, Lausanne, Switzerland; Agora Cancer Research Centre Lausanne, Lausanne, Switzerland; Lundin Family Brain Tumor Research Center, Departments of Oncology and Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland
| | - Annamaria Kauzlaric
- Agora Cancer Research Centre Lausanne, Lausanne, Switzerland; Translational Data Science Facility, Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Eleni Lamprou
- Department of Oncology, University of Lausanne, Lausanne, Switzerland; Ludwig Institute for Cancer Research, University of Lausanne, Lausanne, Switzerland; Agora Cancer Research Centre Lausanne, Lausanne, Switzerland; Lundin Family Brain Tumor Research Center, Departments of Oncology and Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland
| | - Joao Lourenco
- Agora Cancer Research Centre Lausanne, Lausanne, Switzerland; Translational Data Science Facility, Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Nadine Fournier
- Agora Cancer Research Centre Lausanne, Lausanne, Switzerland; Translational Data Science Facility, Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Michelle Ballabio
- Department of Oncology, University of Lausanne, Lausanne, Switzerland; Ludwig Institute for Cancer Research, University of Lausanne, Lausanne, Switzerland; Agora Cancer Research Centre Lausanne, Lausanne, Switzerland
| | - Roberto Colotti
- In Vivo Imaging Facility (IVIF), University of Lausanne, Lausanne, Switzerland
| | - Roeltje Maas
- Department of Oncology, University of Lausanne, Lausanne, Switzerland; Ludwig Institute for Cancer Research, University of Lausanne, Lausanne, Switzerland; Agora Cancer Research Centre Lausanne, Lausanne, Switzerland; Lundin Family Brain Tumor Research Center, Departments of Oncology and Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland
| | - Sabine Galland
- Department of Oncology, University of Lausanne, Lausanne, Switzerland; Ludwig Institute for Cancer Research, University of Lausanne, Lausanne, Switzerland; Agora Cancer Research Centre Lausanne, Lausanne, Switzerland; Lundin Family Brain Tumor Research Center, Departments of Oncology and Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland
| | - Matteo Massara
- Department of Oncology, University of Lausanne, Lausanne, Switzerland; Ludwig Institute for Cancer Research, University of Lausanne, Lausanne, Switzerland; Agora Cancer Research Centre Lausanne, Lausanne, Switzerland; Lundin Family Brain Tumor Research Center, Departments of Oncology and Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland
| | - Klara Soukup
- Department of Oncology, University of Lausanne, Lausanne, Switzerland; Ludwig Institute for Cancer Research, University of Lausanne, Lausanne, Switzerland; Agora Cancer Research Centre Lausanne, Lausanne, Switzerland
| | - Johanna Lilja
- Department of Oncology, University of Lausanne, Lausanne, Switzerland; Ludwig Institute for Cancer Research, University of Lausanne, Lausanne, Switzerland; Agora Cancer Research Centre Lausanne, Lausanne, Switzerland
| | - Jean-Philippe Brouland
- Department of Pathology, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland
| | - Andreas F Hottinger
- Department of Oncology, University of Lausanne, Lausanne, Switzerland; Lundin Family Brain Tumor Research Center, Departments of Oncology and Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland; Department of Oncology, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland
| | - Roy T Daniel
- Lundin Family Brain Tumor Research Center, Departments of Oncology and Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland; Department of Neurosurgery, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland
| | - Monika E Hegi
- Lundin Family Brain Tumor Research Center, Departments of Oncology and Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland; Department of Neurosurgery, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland; Neuroscience Research Center, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland
| | - Johanna A Joyce
- Department of Oncology, University of Lausanne, Lausanne, Switzerland; Ludwig Institute for Cancer Research, University of Lausanne, Lausanne, Switzerland; Agora Cancer Research Centre Lausanne, Lausanne, Switzerland; Lundin Family Brain Tumor Research Center, Departments of Oncology and Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland.
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20
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Ballestín A, Armocida D, Ribecco V, Seano G. Peritumoral brain zone in glioblastoma: biological, clinical and mechanical features. Front Immunol 2024; 15:1347877. [PMID: 38487525 PMCID: PMC10937439 DOI: 10.3389/fimmu.2024.1347877] [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: 12/01/2023] [Accepted: 02/14/2024] [Indexed: 03/17/2024] Open
Abstract
Glioblastoma is a highly aggressive and invasive tumor that affects the central nervous system (CNS). With a five-year survival rate of only 6.9% and a median survival time of eight months, it has the lowest survival rate among CNS tumors. Its treatment consists of surgical resection, subsequent fractionated radiotherapy and concomitant and adjuvant chemotherapy with temozolomide. Despite the implementation of clinical interventions, recurrence is a common occurrence, with over 80% of cases arising at the edge of the resection cavity a few months after treatment. The high recurrence rate and location of glioblastoma indicate the need for a better understanding of the peritumor brain zone (PBZ). In this review, we first describe the main radiological, cellular, molecular and biomechanical tissue features of PBZ; and subsequently, we discuss its current clinical management, potential local therapeutic approaches and future prospects.
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Affiliation(s)
- Alberto Ballestín
- Tumor Microenvironment Laboratory, UMR3347 CNRS/U1021 INSERM, Institut Curie, Orsay, France
| | - Daniele Armocida
- Human Neurosciences Department, Neurosurgery Division, Sapienza University, Rome, Italy
| | - Valentino Ribecco
- Tumor Microenvironment Laboratory, UMR3347 CNRS/U1021 INSERM, Institut Curie, Orsay, France
| | - Giorgio Seano
- Tumor Microenvironment Laboratory, UMR3347 CNRS/U1021 INSERM, Institut Curie, Orsay, France
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21
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Morimoto T, Nakazawa T, Matsuda R, Maeoka R, Nishimura F, Nakamura M, Yamada S, Park YS, Tsujimura T, Nakagawa I. Antitumor Effects of Intravenous Natural Killer Cell Infusion in an Orthotopic Glioblastoma Xenograft Murine Model and Gene Expression Profile Analysis. Int J Mol Sci 2024; 25:2435. [PMID: 38397112 PMCID: PMC10889440 DOI: 10.3390/ijms25042435] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2024] [Revised: 02/09/2024] [Accepted: 02/13/2024] [Indexed: 02/25/2024] Open
Abstract
Despite standard multimodality treatment, containing maximum safety resection, temozolomide, radiotherapy, and a tumor-treating field, patients with glioblastoma (GBM) present with a dismal prognosis. Natural killer cell (NKC)-based immunotherapy would play a critical role in GBM treatment. We have previously reported highly activated and ex vivo expanded NK cells derived from human peripheral blood, which exhibited anti-tumor effect against GBM cells. Here, we performed preclinical evaluation of the NK cells using an in vivo orthotopic xenograft model, the U87MG cell-derived brain tumor in NOD/Shi-scid, IL-2RɤKO (NOG) mouse. In the orthotopic xenograft model, the retro-orbital venous injection of NK cells prolonged overall survival of the NOG mouse, indirectly indicating the growth-inhibition effect of NK cells. In addition, we comprehensively summarized the differentially expressed genes, especially focusing on the expression of the NKC-activating receptors' ligands, inhibitory receptors' ligands, chemokines, and chemokine receptors, between murine brain tumor treated with NKCs and with no agents, by using microarray. Furthermore, we also performed differentially expressed gene analysis between an internal and external brain tumor in the orthotopic xenograft model. Our findings could provide pivotal information for the NK-cell-based immunotherapy for patients with GBM.
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Affiliation(s)
- Takayuki Morimoto
- Department of Neurosurgery, Nara Medical University, Kashihara 634-8521, Nara, Japan; (T.M.); (T.N.); (R.M.); (F.N.); (M.N.); (S.Y.); (Y.-S.P.); (I.N.)
- Department of Neurosurgery, Nara City Hospital, Nara 630-8305, Nara, Japan
| | - Tsutomu Nakazawa
- Department of Neurosurgery, Nara Medical University, Kashihara 634-8521, Nara, Japan; (T.M.); (T.N.); (R.M.); (F.N.); (M.N.); (S.Y.); (Y.-S.P.); (I.N.)
- Department of Neurosurgery, Nara City Hospital, Nara 630-8305, Nara, Japan
| | - Ryosuke Matsuda
- Department of Neurosurgery, Nara Medical University, Kashihara 634-8521, Nara, Japan; (T.M.); (T.N.); (R.M.); (F.N.); (M.N.); (S.Y.); (Y.-S.P.); (I.N.)
| | - Ryosuke Maeoka
- Department of Neurosurgery, Nara Medical University, Kashihara 634-8521, Nara, Japan; (T.M.); (T.N.); (R.M.); (F.N.); (M.N.); (S.Y.); (Y.-S.P.); (I.N.)
| | - Fumihiko Nishimura
- Department of Neurosurgery, Nara Medical University, Kashihara 634-8521, Nara, Japan; (T.M.); (T.N.); (R.M.); (F.N.); (M.N.); (S.Y.); (Y.-S.P.); (I.N.)
| | - Mitsutoshi Nakamura
- Department of Neurosurgery, Nara Medical University, Kashihara 634-8521, Nara, Japan; (T.M.); (T.N.); (R.M.); (F.N.); (M.N.); (S.Y.); (Y.-S.P.); (I.N.)
- Grandsoul Research Institute for Immunology, Inc., Uda 633-2221, Nara, Japan;
| | - Shuichi Yamada
- Department of Neurosurgery, Nara Medical University, Kashihara 634-8521, Nara, Japan; (T.M.); (T.N.); (R.M.); (F.N.); (M.N.); (S.Y.); (Y.-S.P.); (I.N.)
| | - Young-Soo Park
- Department of Neurosurgery, Nara Medical University, Kashihara 634-8521, Nara, Japan; (T.M.); (T.N.); (R.M.); (F.N.); (M.N.); (S.Y.); (Y.-S.P.); (I.N.)
| | - Takahiro Tsujimura
- Grandsoul Research Institute for Immunology, Inc., Uda 633-2221, Nara, Japan;
| | - Ichiro Nakagawa
- Department of Neurosurgery, Nara Medical University, Kashihara 634-8521, Nara, Japan; (T.M.); (T.N.); (R.M.); (F.N.); (M.N.); (S.Y.); (Y.-S.P.); (I.N.)
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22
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Sun R, Jiang H. Border-associated macrophages in the central nervous system. Clin Immunol 2024:109921. [PMID: 38316202 DOI: 10.1016/j.clim.2024.109921] [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: 12/13/2023] [Accepted: 01/31/2024] [Indexed: 02/07/2024]
Abstract
Tissue-resident macrophages play an important role in the local maintenance of homeostasis and immune surveillance. In the central nervous system (CNS), brain macrophages are anatomically divided into parenchymal microglia and non-parenchymal border-associated macrophages (BAMs). Among these immune cell populations, microglia have been well-studied for their roles in normal brain development, neurodegeneration, and brain cancers. BAMs, mostly located in the choroid plexus, meningeal and perivascular spaces, are now gaining increased attention due to advancements in multi-omics technologies and genetic methodologies. Research on BAMs over the past decade has focused on their ontogeny, immunophenotypes, involvement in various CNS diseases, and potential as therapeutic targets. Unlike microglia, BAMs display mixed origins and distinct self-renewal capacity. BAMs are believed to regulate neuroimmune responses associated with brain barriers and contribute to immune-mediated neuropathology. Notably, BAMs have been observed to function in diverse cerebral pathologies, including Alzheimer's disease, Parkinson's disease, multiple sclerosis, ischemic stroke, and gliomas. The elucidation of the heterogeneity and diverse functions of BAMs during homeostasis and neuroinflammation is mesmerizing, since it may shed light on the precision medicine that emphasizes deep insights into programming cues in the unique brain immune microenvironment. In this review, we delve into the latest findings on BAMs, covering aspects like their origins, self-renewal capacity, adaptability, and implications in different brain disorders.
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Affiliation(s)
- Rui Sun
- Department of Neurological Surgery, Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA.
| | - Haowu Jiang
- Washington University Pain Center, Department of Anesthesiology, Washington University School of Medicine in St Louis, St. Louis, MO 63110, USA.
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23
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Ran X, Zheng J, Chen L, Xia Z, Wang Y, Sun C, Guo C, Lin P, Liu F, Wang C, Zhou J, Sun C, Liu Q, Ma J, Qin Z, Zhu X, Xie Q. Single-Cell Transcriptomics Reveals the Heterogeneity of the Immune Landscape of IDH-Wild-Type High-Grade Gliomas. Cancer Immunol Res 2024; 12:232-246. [PMID: 38091354 PMCID: PMC10835213 DOI: 10.1158/2326-6066.cir-23-0211] [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: 03/09/2023] [Revised: 07/21/2023] [Accepted: 12/11/2023] [Indexed: 02/03/2024]
Abstract
Isocitrate dehydrogenase (IDH)-wild-type (WT) high-grade gliomas, especially glioblastomas, are highly aggressive and have an immunosuppressive tumor microenvironment. Although tumor-infiltrating immune cells are known to play a critical role in glioma genesis, their heterogeneity and intercellular interactions remain poorly understood. In this study, we constructed a single-cell transcriptome landscape of immune cells from tumor tissue and matching peripheral blood mononuclear cells (PBMC) from IDH-WT high-grade glioma patients. Our analysis identified two subsets of tumor-associated macrophages (TAM) in tumors with the highest protumorigenesis signatures, highlighting their potential role in glioma progression. We also investigated the T-cell trajectory and identified the aryl hydrocarbon receptor (AHR) as a regulator of T-cell dysfunction, providing a potential target for glioma immunotherapy. We further demonstrated that knockout of AHR decreased chimeric antigen receptor (CAR) T-cell exhaustion and improved CAR T-cell antitumor efficacy both in vitro and in vivo. Finally, we explored intercellular communication mediated by ligand-receptor interactions within the tumor microenvironment and PBMCs and revealed the unique cellular interactions present in the tumor microenvironment. Taken together, our study provides a comprehensive immune landscape of IDH-WT high-grade gliomas and offers potential drug targets for glioma immunotherapy.
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Affiliation(s)
- Xiaojuan Ran
- Westlake Disease Modeling Laboratory, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang, China
- Key Laboratory of Growth Regulation and Translational Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China
- Institute of Basic Medical Sciences, Westlake Institute of Advanced Study, Hangzhou, Zhejiang, China
| | - Jian Zheng
- Department of Neurosurgery, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Linchao Chen
- Department of Neurosurgery, Huashan Hospital Shanghai Medical College, Fudan University, Shanghai, China
| | - Zhen Xia
- Westlake Disease Modeling Laboratory, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang, China
- Key Laboratory of Growth Regulation and Translational Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China
- Institute of Basic Medical Sciences, Westlake Institute of Advanced Study, Hangzhou, Zhejiang, China
| | - Yin Wang
- Westlake Disease Modeling Laboratory, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang, China
- Key Laboratory of Growth Regulation and Translational Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China
- Institute of Basic Medical Sciences, Westlake Institute of Advanced Study, Hangzhou, Zhejiang, China
| | - Chengfang Sun
- Westlake Disease Modeling Laboratory, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang, China
- School of Medicine, Zhejiang University, Hangzhou, China
| | - Chen Guo
- Westlake Disease Modeling Laboratory, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang, China
- Key Laboratory of Growth Regulation and Translational Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China
- Institute of Basic Medical Sciences, Westlake Institute of Advanced Study, Hangzhou, Zhejiang, China
| | - Peng Lin
- Westlake Disease Modeling Laboratory, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang, China
- Key Laboratory of Growth Regulation and Translational Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China
- Institute of Basic Medical Sciences, Westlake Institute of Advanced Study, Hangzhou, Zhejiang, China
| | - Fuyi Liu
- Department of Neurosurgery, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Chun Wang
- Department of Neurosurgery, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Jianguo Zhou
- Westlake Disease Modeling Laboratory, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang, China
- Key Laboratory of Growth Regulation and Translational Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China
- Institute of Basic Medical Sciences, Westlake Institute of Advanced Study, Hangzhou, Zhejiang, China
| | - Chongran Sun
- Department of Neurosurgery, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Qichang Liu
- Department of Neurosurgery, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Jianzhu Ma
- Institute of AI Industrial Research, Tsinghua University, Beijing, China
| | - Zhiyong Qin
- Department of Neurosurgery, Huashan Hospital Shanghai Medical College, Fudan University, Shanghai, China
| | - Xiangdong Zhu
- Department of Neurosurgery, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Qi Xie
- Westlake Disease Modeling Laboratory, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang, China
- Key Laboratory of Growth Regulation and Translational Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China
- Institute of Basic Medical Sciences, Westlake Institute of Advanced Study, Hangzhou, Zhejiang, China
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Dipasquale A, Barigazzi C, Losurdo A, Persico P, Di Muzio A, Navarria P, Pessina F, van den Bent M, Santoro A, Simonelli M. Brain metastases and next-generation anticancer therapies: a survival guide for clinicians. Crit Rev Oncol Hematol 2024; 194:104239. [PMID: 38128629 DOI: 10.1016/j.critrevonc.2023.104239] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Revised: 12/13/2023] [Accepted: 12/14/2023] [Indexed: 12/23/2023] Open
Abstract
Historically, patients with brain metastases (BMs) have been characterized by few systemic treatment options and poor prognosis. The recent introduction of next-generation anticancer therapies such as molecular targeted agents and immunotherapy have revolutionized the clinical decision-making process of this sub-population, posing new challenges to physicians. In this review, current evidence for the use of checkpoint inhibitors and targeted therapies in patients with BMs are discussed, with a focus on lung cancer, breast cancer, melanoma and renal cell carcinoma, providing suggestions and potential workflows for daily clinical practice. Several other on-going and future challenges, such as clinical trials design, ways to improve CNS penetration of novel drugs and unique molecular characteristics of BMs, are also discussed. The aim is producing an updated and easy-to-read guide for physicians, to improve decision-making in clinical practice.
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Affiliation(s)
- Angelo Dipasquale
- Medical Oncology and Hematology Unit, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy
| | - Chiara Barigazzi
- Medical Oncology and Hematology Unit, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy; Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy
| | - Agnese Losurdo
- Medical Oncology and Hematology Unit, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy; Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy
| | - Pasquale Persico
- Medical Oncology and Hematology Unit, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy; Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy
| | - Antonio Di Muzio
- Medical Oncology and Hematology Unit, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy; Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy
| | - Piera Navarria
- Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy
| | - Federico Pessina
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy; Department of Neurosurgery, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy
| | | | - Armando Santoro
- Medical Oncology and Hematology Unit, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy; Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy
| | - Matteo Simonelli
- Medical Oncology and Hematology Unit, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy; Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy.
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25
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Sevenich L, Heiland DH. [Tumor-host cell interaction in the microenvironment: new target points for treatment?]. DER NERVENARZT 2024; 95:104-110. [PMID: 38180512 DOI: 10.1007/s00115-023-01604-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 12/18/2023] [Indexed: 01/06/2024]
Abstract
BACKGROUND Primary brain tumors and metastases in the central nervous system (CNS) are characterized by their unique microenvironment, which interacts with neuronal structures and influences structural and adaptive immunity. OBJECTIVE How significant are various tumor-host interactions from a prognostic and therapeutic perspective? MATERIAL AND METHOD A literature search was carried out for relevant articles on the topic: microenvironment glioblastoma or metastasis through PubMed and Medline. RESULTS Modern high-throughput methods, such as spatial and single-cell resolution molecular characterization of tumors and their microenvironment enable a detailed mapping of changes and adaptation of individual cells within the microenvironment of tumors; however, treatment approaches based on altered tumor-host cell interactions, such as immune modeling, cell-based treatment methods or checkpoint inhibition have so far not shown any significant advantages for survival. CONCLUSION A deeper understanding of the complex immune landscape and the microenvironment of metastases of the CNS and intracerebral tumors is essential to optimize future treatment strategies.
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Affiliation(s)
- Lisa Sevenich
- Institut für Tumorbiologie und experimentelle Therapie, Georg-Speyer-Haus, Frankfurt am Main, Deutschland
- Frankfurt Cancer Institute (FCI), Frankfurt am Main, Deutschland
- Partner Site Frankfurt/Mainz, Deutsches Konsortium für Translationale Krebsforschung, Frankfurt am Main, Deutschland
| | - Dieter Henrik Heiland
- Klinik für Neurochirurgie, Medical Center, Universität Freiburg, Freiburg, Deutschland.
- Microenvironment and Immunology Research Laboratory, Department of Neurosurgery, Medical Center Universität Freiburg, Breisacher Str. 64, 79106, Freiburg, Deutschland.
- Department of Neurological Surgery, Northwestern University Feinberg School of Medicine, Chicago, USA.
- Partner Site Freiburg, Deutsches Konsortium für Translationale Krebsforschung, Freiburg, Deutschland.
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26
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Kienzler JC, Becher B. Immunity in malignant brain tumors: Tumor entities, role of immunotherapy, and specific contribution of myeloid cells to the brain tumor microenvironment. Eur J Immunol 2024; 54:e2250257. [PMID: 37940552 DOI: 10.1002/eji.202250257] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Revised: 10/30/2023] [Accepted: 11/07/2023] [Indexed: 11/10/2023]
Abstract
Malignant brain tumors lack effective treatment, that can improve their poor overall survival achieved with standard of care. Advancement in different cancer treatments has shifted the focus in brain tumor research and clinical trials toward immunotherapy-based approaches. The investigation of the immune cell landscape revealed a dominance of myeloid cells in the tumor microenvironment. Their exact roles and functions are the subject of ongoing research. Current evidence suggests a complex interplay of tumor cells and myeloid cells with competing functions toward support vs. control of tumor growth. Here, we provide a brief overview of the three most abundant brain tumor entities: meningioma, glioma, and brain metastases. We also describe the field of ongoing immunotherapy trials and their results, including immune checkpoint inhibitors, vaccination studies, oncolytic viral therapy, and CAR-T cells. Finally, we summarize the phenotypes of microglia, monocyte-derived macrophages, border-associated macrophages, neutrophils, and potential novel therapy targets.
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Affiliation(s)
- Jenny C Kienzler
- Institute of Experimental Immunology, Inflammation Research Lab, University of Zurich, Zurich, Switzerland
| | - Burkhard Becher
- Institute of Experimental Immunology, Inflammation Research Lab, University of Zurich, Zurich, Switzerland
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27
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Losurdo A, Di Muzio A, Cianciotti BC, Dipasquale A, Persico P, Barigazzi C, Bono B, Feno S, Pessina F, Santoro A, Simonelli M. T Cell Features in Glioblastoma May Guide Therapeutic Strategies to Overcome Microenvironment Immunosuppression. Cancers (Basel) 2024; 16:603. [PMID: 38339353 PMCID: PMC10854506 DOI: 10.3390/cancers16030603] [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: 12/28/2023] [Revised: 01/23/2024] [Accepted: 01/25/2024] [Indexed: 02/12/2024] Open
Abstract
Glioblastoma (GBM) is the most aggressive and lethal primary brain tumor, bearing a survival estimate below 10% at five years, despite standard chemoradiation treatment. At recurrence, systemic treatment options are limited and the standard of care is not well defined, with inclusion in clinical trials being highly encouraged. So far, the use of immunotherapeutic strategies in GBM has not proved to significantly improve patients' prognosis in the treatment of newly diagnosed GBM, nor in the recurrent setting. Probably this has to do with the unique immune environment of the central nervous system, which harbors several immunosuppressive/pro-tumorigenic factors, both soluble (e.g., TGF-β, IL-10, STAT3, prostaglandin E2, and VEGF) and cellular (e.g., Tregs, M2 phenotype TAMs, and MDSC). Here we review the immune composition of the GBMs microenvironment, specifically focusing on the phenotype and function of the T cell compartment. Moreover, we give hints on the therapeutic strategies, such as immune checkpoint blockade, vaccinations, and adoptive cell therapy, that, interacting with tumor-infiltrating lymphocytes, might both target in different ways the tumor microenvironment and potentiate the activity of standard therapies. The path to be followed in advancing clinical research on immunotherapy for GBM treatment relies on a twofold strategy: testing combinatorial treatments, aiming to restore active immune anti-tumor responses, tackling immunosuppression, and additionally, designing more phase 0 and window opportunity trials with solid translational analyses to gain deeper insight into the on-treatment shaping of the GBM microenvironment.
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Affiliation(s)
- Agnese Losurdo
- Medical Oncology and Hematology Unit, IRCCS Humanitas Research Hospital, Rozzano, 20089 Milan, Italy; (A.L.); (A.D.M.); (A.D.); (P.P.); (C.B.); (A.S.)
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, 20072 Milan, Italy;
| | - Antonio Di Muzio
- Medical Oncology and Hematology Unit, IRCCS Humanitas Research Hospital, Rozzano, 20089 Milan, Italy; (A.L.); (A.D.M.); (A.D.); (P.P.); (C.B.); (A.S.)
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, 20072 Milan, Italy;
| | - Beatrice Claudia Cianciotti
- Laboratory of Translational Immunology, IRCCS Humanitas Research Hospital, Rozzano, 20089 Milan, Italy; (B.C.C.); (S.F.)
| | - Angelo Dipasquale
- Medical Oncology and Hematology Unit, IRCCS Humanitas Research Hospital, Rozzano, 20089 Milan, Italy; (A.L.); (A.D.M.); (A.D.); (P.P.); (C.B.); (A.S.)
| | - Pasquale Persico
- Medical Oncology and Hematology Unit, IRCCS Humanitas Research Hospital, Rozzano, 20089 Milan, Italy; (A.L.); (A.D.M.); (A.D.); (P.P.); (C.B.); (A.S.)
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, 20072 Milan, Italy;
| | - Chiara Barigazzi
- Medical Oncology and Hematology Unit, IRCCS Humanitas Research Hospital, Rozzano, 20089 Milan, Italy; (A.L.); (A.D.M.); (A.D.); (P.P.); (C.B.); (A.S.)
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, 20072 Milan, Italy;
| | - Beatrice Bono
- Department of Neurosurgery, IRCCS Humanitas Research Hospital, Rozzano, 20089 Milan, Italy;
| | - Simona Feno
- Laboratory of Translational Immunology, IRCCS Humanitas Research Hospital, Rozzano, 20089 Milan, Italy; (B.C.C.); (S.F.)
| | - Federico Pessina
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, 20072 Milan, Italy;
- Department of Neurosurgery, IRCCS Humanitas Research Hospital, Rozzano, 20089 Milan, Italy;
| | - Armando Santoro
- Medical Oncology and Hematology Unit, IRCCS Humanitas Research Hospital, Rozzano, 20089 Milan, Italy; (A.L.); (A.D.M.); (A.D.); (P.P.); (C.B.); (A.S.)
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, 20072 Milan, Italy;
| | - Matteo Simonelli
- Medical Oncology and Hematology Unit, IRCCS Humanitas Research Hospital, Rozzano, 20089 Milan, Italy; (A.L.); (A.D.M.); (A.D.); (P.P.); (C.B.); (A.S.)
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, 20072 Milan, Italy;
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28
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Sud A, Parry EM, Wu CJ. The molecular map of CLL and Richter's syndrome. Semin Hematol 2024:S0037-1963(24)00009-X. [PMID: 38368146 DOI: 10.1053/j.seminhematol.2024.01.009] [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: 10/31/2023] [Revised: 01/16/2024] [Accepted: 01/20/2024] [Indexed: 02/19/2024]
Abstract
Clonal expansion of B-cells, from the early stages of monoclonal B-cell lymphocytosis through to chronic lymphocytic leukemia (CLL), and then in some cases to Richter's syndrome (RS) provides a comprehensive model of cancer evolution, notable for the marked morphological transformation and distinct clinical phenotypes. High-throughput sequencing of large cohorts of patients and single-cell studies have generated a molecular map of CLL and more recently, of RS, yielding fundamental insights into these diseases and of clonal evolution. A selection of CLL driver genes have been functionally interrogated to yield novel insights into the biology of CLL. Such findings have the potential to impact patient care through risk stratification, treatment selection and drug discovery. However, this molecular map remains incomplete, with extant questions concerning the origin of the B-cell clone, the role of the TME, inter- and intra-compartmental heterogeneity and of therapeutic resistance mechanisms. Through the application of multi-modal single-cell technologies across tissues, disease states and clinical contexts, these questions can now be addressed with the answers holding great promise of generating translatable knowledge to improve patient care.
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Affiliation(s)
- Amit Sud
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA; Harvard Medical School, Boston, MA; Broad Institute of MIT and Harvard, Cambridge, MA; Department of Immuno-Oncology, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
| | - Erin M Parry
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA; Harvard Medical School, Boston, MA; Broad Institute of MIT and Harvard, Cambridge, MA.
| | - Catherine J Wu
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA; Harvard Medical School, Boston, MA; Broad Institute of MIT and Harvard, Cambridge, MA; Department of Medicine, Brigham and Women's Hospital, Boston, MA
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29
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Rogawski D, Wheeler J, Nie E, Zhu W, Villanueva E, Coffey G, Ma Q, Ganjoo K, Fischbein N, Iv M, Vogel H, Nagpal S. A rare non-gadolinium enhancing sarcoma brain metastasis with microenvironment dominated by tumor-associated macrophages. Acta Neuropathol Commun 2024; 12:15. [PMID: 38254244 PMCID: PMC10804641 DOI: 10.1186/s40478-023-01713-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Accepted: 12/17/2023] [Indexed: 01/24/2024] Open
Abstract
Brain metastases occur in 1% of sarcoma cases and are associated with a median overall survival of 6 months. We report a rare case of a brain metastasis with unique radiologic and histopathologic features in a patient with low grade fibromyxoid sarcoma (LGFMS) previously treated with immune checkpoint inhibitor (ICI) therapy. The lone metastasis progressed in the midbrain tegmentum over 15 months as a non-enhancing, T2-hyperintense lesion with peripheral diffusion restriction, mimicking a demyelinating lesion. Histopathology of the lesion at autopsy revealed a rich infiltrate of tumor-associated macrophages (TAMs) with highest density at the leading edge of the metastasis, whereas there was a paucity of lymphocytes, suggestive of an immunologically cold environment. Given the important immunosuppressive and tumor-promoting functions of TAMs in gliomas and carcinoma/melanoma brain metastases, this unusual case provides an interesting example of a dense TAM infiltrate in a much rarer sarcoma brain metastasis.
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Affiliation(s)
- David Rogawski
- Division of Neuro-Oncology, Stanford Medicine, Stanford, CA, 94305, USA.
| | - Joshua Wheeler
- Division of Neuropathology, Department of Pathology, Stanford Medicine, Stanford, CA, 94305, USA
| | - Esther Nie
- Division of Neuroimmunology, Stanford Medicine, Stanford, CA, 94305, USA
| | - William Zhu
- Department of Neurology and Neurological Sciences, Stanford Medicine, Stanford, CA, 94305, USA
| | | | - Gwen Coffey
- Division of Neuro-Oncology, Stanford Medicine, Stanford, CA, 94305, USA
| | - Qian Ma
- Department of Neurology and Neurological Sciences, Stanford Medicine, Stanford, CA, 94305, USA
| | - Kristen Ganjoo
- Division of Oncology, Department of Medicine, Stanford Medicine, Stanford, CA, 94305, USA
| | - Nancy Fischbein
- Division of Neuroradiology, Department of Radiology, Stanford Medicine, Stanford, CA, 94305, USA
| | - Michael Iv
- Division of Neuroradiology, Department of Radiology, Stanford Medicine, Stanford, CA, 94305, USA
| | - Hannes Vogel
- Division of Neuropathology, Department of Pathology, Stanford Medicine, Stanford, CA, 94305, USA
| | - Seema Nagpal
- Division of Neuro-Oncology, Stanford Medicine, Stanford, CA, 94305, USA
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30
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Dusoswa SA, Verhoeff J, van Asten S, Lübbers J, van den Braber M, Peters S, Abeln S, Crommentuijn MH, Wesseling P, Vandertop WP, Twisk JWR, Würdinger T, Noske D, van Kooyk Y, Garcia-Vallejo JJ. The immunological landscape of peripheral blood in glioblastoma patients and immunological consequences of age and dexamethasone treatment. Front Immunol 2024; 15:1343484. [PMID: 38318180 PMCID: PMC10839779 DOI: 10.3389/fimmu.2024.1343484] [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: 11/23/2023] [Accepted: 01/02/2024] [Indexed: 02/07/2024] Open
Abstract
Background Glioblastomas manipulate the immune system both locally and systemically, yet, glioblastoma-associated changes in peripheral blood immune composition are poorly studied. Age and dexamethasone administration in glioblastoma patients have been hypothesized to limit the effectiveness of immunotherapy, but their effects remain unclear. We compared peripheral blood immune composition in patients with different types of brain tumor to determine the influence of age, dexamethasone treatment, and tumor volume. Methods High-dimensional mass cytometry was used to characterise peripheral blood mononuclear cells of 169 patients with glioblastoma, lower grade astrocytoma, metastases and meningioma. We used blood from medically-refractory epilepsy patients and healthy controls as control groups. Immune phenotyping was performed using FlowSOM and t-SNE analysis in R followed by supervised annotation of the resulting clusters. We conducted multiple linear regression analysis between intracranial pathology and cell type abundance, corrected for clinical variables. We tested correlations between cell type abundance and survival with Cox-regression analyses. Results Glioblastoma patients had significantly fewer naive CD4+ T cells, but higher percentages of mature NK cells than controls. Decreases of naive CD8+ T cells and alternative monocytes and an increase of memory B cells in glioblastoma patients were influenced by age and dexamethasone treatment, and only memory B cells by tumor volume. Progression free survival was associated with percentages of CD4+ regulatory T cells and double negative T cells. Conclusion High-dimensional mass cytometry of peripheral blood in patients with different types of intracranial tumor provides insight into the relation between intracranial pathology and peripheral immune status. Wide immunosuppression associated with age and pre-operative dexamethasone treatment provide further evidence for their deleterious effects on treatment with immunotherapy.
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Affiliation(s)
- Sophie A. Dusoswa
- Department of Molecular Cell Biology and Immunology, Amsterdam Infection and Immunity Institute, Cancer Center Amsterdam, Amsterdam UMC, VU Amsterdam, Amsterdam, Netherlands
- Department of Neurosurgery, Amsterdam UMC, VU Amsterdam, Amsterdam, Netherlands
| | - Jan Verhoeff
- Department of Molecular Cell Biology and Immunology, Amsterdam Infection and Immunity Institute, Cancer Center Amsterdam, Amsterdam UMC, VU Amsterdam, Amsterdam, Netherlands
| | - Saskia van Asten
- Department of Molecular Cell Biology and Immunology, Amsterdam Infection and Immunity Institute, Cancer Center Amsterdam, Amsterdam UMC, VU Amsterdam, Amsterdam, Netherlands
| | - Joyce Lübbers
- Department of Molecular Cell Biology and Immunology, Amsterdam Infection and Immunity Institute, Cancer Center Amsterdam, Amsterdam UMC, VU Amsterdam, Amsterdam, Netherlands
| | - Marlous van den Braber
- Department of Molecular Cell Biology and Immunology, Amsterdam Infection and Immunity Institute, Cancer Center Amsterdam, Amsterdam UMC, VU Amsterdam, Amsterdam, Netherlands
| | - Sophie Peters
- Department of Molecular Cell Biology and Immunology, Amsterdam Infection and Immunity Institute, Cancer Center Amsterdam, Amsterdam UMC, VU Amsterdam, Amsterdam, Netherlands
| | - Sanne Abeln
- Department of Computer Science, Free University, Amsterdam, Netherlands
| | - Matheus H.W. Crommentuijn
- Department of Molecular Cell Biology and Immunology, Amsterdam Infection and Immunity Institute, Cancer Center Amsterdam, Amsterdam UMC, VU Amsterdam, Amsterdam, Netherlands
| | - Pieter Wesseling
- Department of Pathology, Cancer Center Amsterdam, Brain Tumor Center Amsterdam, Amsterdam and Princes Máxima Center for Pediatric Oncology, Amsterdam UMC, VU Amsterdam, Utrecht, Netherlands
| | | | - Jos W. R. Twisk
- Department of Epidemiology and Biostatistics and Biostatistics, Amsterdam Public Health Research Institute, Amsterdam UMC, VU Amsterdam, Amsterdam, Netherlands
| | - Thomas Würdinger
- Department of Neurosurgery, Amsterdam UMC, VU Amsterdam, Amsterdam, Netherlands
| | - David Noske
- Department of Neurosurgery, Amsterdam UMC, VU Amsterdam, Amsterdam, Netherlands
| | - Yvette van Kooyk
- Department of Molecular Cell Biology and Immunology, Amsterdam Infection and Immunity Institute, Cancer Center Amsterdam, Amsterdam UMC, VU Amsterdam, Amsterdam, Netherlands
| | - Juan J. Garcia-Vallejo
- Department of Molecular Cell Biology and Immunology, Amsterdam Infection and Immunity Institute, Cancer Center Amsterdam, Amsterdam UMC, VU Amsterdam, Amsterdam, Netherlands
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Wu SY, Yu WJ, Chien TY, Ren YA, Chen CS, Chiang CS. Microglia-mediated drug substance transfer promotes chemoresistance in brain tumors: insights from an in vitro co-culture model using GCV/Tk prodrug system. Cancer Cell Int 2024; 24:35. [PMID: 38238749 PMCID: PMC10795391 DOI: 10.1186/s12935-024-03213-8] [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: 03/08/2023] [Accepted: 01/03/2024] [Indexed: 01/22/2024] Open
Abstract
BACKGROUND It is well known that tumor-associated macrophages (TAMs) play essential roles in brain tumor resistance to chemotherapy. However, the detailed mechanisms of how TAMs are involved in brain tumor resistance are still unclear and lack a suitable analysis model. METHODS A BV2 microglial cells with ALTS1C1 astrocytoma cells in vitro co-culture system was used to mimic the microglia dominating tumor stroma in the tumor invasion microenvironment and explore the interaction between microglia and brain tumor cells. RESULTS Our result suggested that microglia could form colonies with glioma cells under high-density culturing conditions and protect glioma cells from apoptosis induced by chemotherapeutic drugs. Moreover, this study demonstrates that microglia could hijack drug substances from the glioma cells and reduce the drug intensity of ALTS1C1 via direct contact. Inhibition of gap junction protein prevented microglial-glioma colony formation and microglia-mediated chemoresistance. CONCLUSIONS This study provides novel insights into how glioma cells acquire chemoresistance via microglia-mediated drug substance transferring, providing a new option for treating chemo-resistant brain tumors.
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Affiliation(s)
- Sheng-Yan Wu
- Department of Biomedical Engineering and Environmental Sciences, National Tsing Hua University, Hsinchu, 30013, Taiwan
| | - Wen-Jui Yu
- Department of Biomedical Engineering and Environmental Sciences, National Tsing Hua University, Hsinchu, 30013, Taiwan
| | - Ting-Yi Chien
- Department of Biomedical Engineering and Environmental Sciences, National Tsing Hua University, Hsinchu, 30013, Taiwan
| | - Yu-An Ren
- Department of Biomedical Engineering and Environmental Sciences, National Tsing Hua University, Hsinchu, 30013, Taiwan
| | - Chi-Shuo Chen
- Department of Biomedical Engineering and Environmental Sciences, National Tsing Hua University, Hsinchu, 30013, Taiwan
| | - Chi-Shiun Chiang
- Department of Biomedical Engineering and Environmental Sciences, National Tsing Hua University, Hsinchu, 30013, Taiwan.
- Institute of Nuclear Engineering and Science, National Tsing Hua University, Hsinchu, 30013, Taiwan.
- Frontier Research Center On Fundamental and Applied Sciences of Matters, National Tsing Hua University, Hsinchu, 30013, Taiwan.
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Elguindy M, Young JS, Mondal I, Lu RO, Ho WS. Glioma-Immune Cell Crosstalk in Tumor Progression. Cancers (Basel) 2024; 16:308. [PMID: 38254796 PMCID: PMC10813573 DOI: 10.3390/cancers16020308] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2023] [Revised: 12/21/2023] [Accepted: 01/06/2024] [Indexed: 01/24/2024] Open
Abstract
Glioma progression is a complex process controlled by molecular factors that coordinate the crosstalk between tumor cells and components of the tumor microenvironment (TME). Among these, immune cells play a critical role in cancer survival and progression. The complex interplay between cancer cells and the immune TME influences the outcome of immunotherapy and other anti-cancer therapies. Here, we present an updated view of the pro- and anti-tumor activities of the main myeloid and lymphocyte cell populations in the glioma TME. We review the underlying mechanisms involved in crosstalk between cancer cells and immune cells that enable gliomas to evade the immune system and co-opt these cells for tumor growth. Lastly, we discuss the current and experimental therapeutic options being developed to revert the immunosuppressive activity of the glioma TME. Knowledge of the complex interplay that elapses between tumor and immune cells may help develop new combination treatments able to overcome tumor immune evasion mechanisms and enhance response to immunotherapies.
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Affiliation(s)
| | | | | | | | - Winson S. Ho
- Department of Neurological Surgery, University of California, San Francisco, CA 94143, USA
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Liu L, van Schaik TA, Chen KS, Rossignoli F, Borges P, Vrbanac V, Wakimoto H, Shah K. Establishment and immune phenotyping of patient-derived glioblastoma models in humanized mice. Front Immunol 2024; 14:1324618. [PMID: 38274817 PMCID: PMC10808686 DOI: 10.3389/fimmu.2023.1324618] [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: 10/19/2023] [Accepted: 12/19/2023] [Indexed: 01/27/2024] Open
Abstract
Glioblastoma (GBM) is the most aggressive and common type of malignant brain tumor diagnosed in adults. Preclinical immunocompetent mouse tumor models generated using mouse tumor cells play a pivotal role in testing the therapeutic efficacy of emerging immune-based therapies for GBMs. However, the clinical translatability of such studies is limited as mouse tumor lines do not fully recapitulate GBMs seen in inpatient settings. In this study, we generated three distinct, imageable human-GBM (hGBM) models in humanized mice using patient-derived GBM cells that cover phenotypic and genetic GBM heterogeneity in primary (invasive and nodular) and recurrent tumors. We developed a pipeline to first enrich the tumor-initiating stem-like cells and then successfully established robust patient-derived GBM tumor engraftment and growth in bone marrow-liver-thymus (BLT) humanized mice. Multiplex immunofluorescence of GBM tumor sections revealed distinct phenotypic features of the patient GBM tumors, with myeloid cells dominating the immune landscape. Utilizing flow cytometry and correlative immunofluorescence, we profiled the immune microenvironment within the established human GBM tumors in the BLT mouse models and showed tumor infiltration of variable human immune cells, creating a unique immune landscape compared with lymphoid organs. These findings contribute substantially to our understanding of GBM biology within the context of the human immune system in humanized mice and lay the groundwork for further translational studies aimed at advancing therapeutic strategies for GBM.
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Affiliation(s)
- Longsha Liu
- Center for Stem Cell and Translational Immunotherapy (CSTI), Harvard Medical School, Boston, MA, United States
- Department of Neurosurgery, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States
| | - Thijs A. van Schaik
- Center for Stem Cell and Translational Immunotherapy (CSTI), Harvard Medical School, Boston, MA, United States
- Department of Neurosurgery, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States
| | - Kok-Siong Chen
- Center for Stem Cell and Translational Immunotherapy (CSTI), Harvard Medical School, Boston, MA, United States
- Department of Neurosurgery, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States
| | - Filippo Rossignoli
- Center for Stem Cell and Translational Immunotherapy (CSTI), Harvard Medical School, Boston, MA, United States
- Department of Neurosurgery, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States
| | - Paulo Borges
- Center for Stem Cell and Translational Immunotherapy (CSTI), Harvard Medical School, Boston, MA, United States
- Department of Neurosurgery, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States
| | - Vladimir Vrbanac
- Humanized Immune System Mouse Program, Ragon Institute, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Hiroaki Wakimoto
- Center for Stem Cell and Translational Immunotherapy (CSTI), Harvard Medical School, Boston, MA, United States
- Department of Neurosurgery, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Khalid Shah
- Center for Stem Cell and Translational Immunotherapy (CSTI), Harvard Medical School, Boston, MA, United States
- Department of Neurosurgery, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States
- Harvard Stem Cell Institute, Harvard University, Cambridge, MA, United States
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Cai HB, Zhao MY, Li XH, Li YQ, Yu TH, Wang CZ, Wang LN, Xu WY, Liang B, Cai YP, Zhang F, Hong WM. Single cell sequencing revealed the mechanism of CRYAB in glioma and its diagnostic and prognostic value. Front Immunol 2024; 14:1336187. [PMID: 38274814 PMCID: PMC10808695 DOI: 10.3389/fimmu.2023.1336187] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Accepted: 12/26/2023] [Indexed: 01/27/2024] Open
Abstract
Background We explored the characteristics of single-cell differentiation data in glioblastoma and established prognostic markers based on CRYAB to predict the prognosis of glioblastoma patients. Aberrant expression of CRYAB is associated with invasive behavior in various tumors, including glioblastoma. However, the specific role and mechanisms of CRYAB in glioblastoma are still unclear. Methods We assessed RNA-seq and microarray data from TCGA and GEO databases, combined with scRNA-seq data on glioma patients from GEO. Utilizing the Seurat R package, we identified distinct survival-related gene clusters in the scRNA-seq data. Prognostic pivotal genes were discovered through single-factor Cox analysis, and a prognostic model was established using LASSO and stepwise regression algorithms. Moreover, we investigated the predictive potential of these genes in the immune microenvironment and their applicability in immunotherapy. Finally, in vitro experiments confirmed the functional significance of the high-risk gene CRYAB. Results By analyzing the ScRNA-seq data, we identified 28 cell clusters representing seven cell types. After dimensionality reduction and clustering analysis, we obtained four subpopulations within the oligodendrocyte lineage based on their differentiation trajectory. Using CRYAB as a marker gene for the terminal-stage subpopulation, we found that its expression was associated with poor prognosis. In vitro experiments demonstrated that knocking out CRYAB in U87 and LN229 cells reduced cell viability, proliferation, and invasiveness. Conclusion The risk model based on CRYAB holds promise in accurately predicting glioblastoma. A comprehensive study of the specific mechanisms of CRYAB in glioblastoma would contribute to understanding its response to immunotherapy. Targeting the CRYAB gene may be beneficial for glioblastoma patients.
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Affiliation(s)
- Hua-Bao Cai
- Department of Neurosurgery, First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Meng-Yu Zhao
- Department of Neurosurgery, First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Xin-Han Li
- Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China
| | - Yu-Qing Li
- Department of Pathology, School of Basic Medical Sciences, Anhui Medical University, Hefei, China
- Department of Pathology, Anhui Medical University, Hefei, Anhui, China
| | - Tian-Hang Yu
- Department of Neurosurgery, First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Cun-Zhi Wang
- Department of Neurosurgery, First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Li-Na Wang
- School of Nursing, Anhui Medical University, Hefei, China
| | - Wan-Yan Xu
- School of Nursing, Anhui Medical University, Hefei, China
| | - Bo Liang
- Department of Dermatology and Venereology, First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Yong-Ping Cai
- Department of Pathology, School of Basic Medical Sciences, Anhui Medical University, Hefei, China
- Department of Pathology, Anhui Medical University, Hefei, Anhui, China
| | - Fang Zhang
- School of Nursing, Anhui Medical University, Hefei, China
| | - Wen-Ming Hong
- Department of Neurosurgery, First Affiliated Hospital of Anhui Medical University, Hefei, China
- Open Project of Key Laboratory of Dermatology, Ministry of Education, Anhui Medical University, Hefei, China
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Jain R, Krishnan S, Lee S, Amoozgar Z, Subudhi S, Kumar A, Posada J, Lindeman N, Lei P, Duquette M, Roberge S, Huang P, Andersson P, Datta M, Munn L, Fukumura D. Wnt inhibition alleviates resistance to immune checkpoint blockade in glioblastoma. RESEARCH SQUARE 2023:rs.3.rs-3707472. [PMID: 38234841 PMCID: PMC10793505 DOI: 10.21203/rs.3.rs-3707472/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/19/2024]
Abstract
Wnt signaling plays a critical role in the progression and treatment outcome of glioblastoma (GBM). Here, we identified WNT7b as a heretofore unknown mechanism of resistance to immune checkpoint inhibition (αPD1) in GBM patients and murine models. Acquired resistance to αPD1 was found to be associated with the upregulation of Wnt7b and β-catenin protein levels in GBM in patients and in a clinically relevant, stem-rich GBM model. Combining the porcupine inhibitor WNT974 with αPD1 prolonged the survival of GBM-bearing mice. However, this combination had a dichotomous response, with a subset of tumors showing refractoriness. WNT974 and αPD1 expanded a subset of DC3-like dendritic cells (DCs) and decreased the granulocytic myeloid-derived suppressor cells (gMDSCs) in the tumor microenvironment (TME). By contrast, monocytic MDSCs (mMDSCs) increased, while T-cell infiltration remained unchanged, suggesting potential TME-mediated resistance. Our preclinical findings warrant the testing of Wnt7b/β-catenin combined with αPD1 in GBM patients with elevated Wnt7b/β-catenin signaling.
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Schmassmann P, Roux J, Dettling S, Hogan S, Shekarian T, Martins TA, Ritz MF, Herter S, Bacac M, Hutter G. Single-cell characterization of human GBM reveals regional differences in tumor-infiltrating leukocyte activation. eLife 2023; 12:RP92678. [PMID: 38127790 PMCID: PMC10735226 DOI: 10.7554/elife.92678] [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] [Indexed: 12/23/2023] Open
Abstract
Glioblastoma (GBM) harbors a highly immunosuppressive tumor microenvironment (TME) which influences glioma growth. Major efforts have been undertaken to describe the TME on a single-cell level. However, human data on regional differences within the TME remain scarce. Here, we performed high-depth single-cell RNA sequencing (scRNAseq) on paired biopsies from the tumor center, peripheral infiltration zone and blood of five primary GBM patients. Through analysis of >45,000 cells, we revealed a regionally distinct transcription profile of microglia (MG) and monocyte-derived macrophages (MdMs) and an impaired activation signature in the tumor-peripheral cytotoxic-cell compartment. Comparing tumor-infiltrating CD8+ T cells with circulating cells identified CX3CR1high and CX3CR1int CD8+ T cells with effector and memory phenotype, respectively, enriched in blood but absent in the TME. Tumor CD8+ T cells displayed a tissue-resident memory phenotype with dysfunctional features. Our analysis provides a regionally resolved mapping of transcriptional states in GBM-associated leukocytes, serving as an additional asset in the effort towards novel therapeutic strategies to combat this fatal disease.
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Affiliation(s)
- Philip Schmassmann
- Brain Tumor Immunotherapy Lab, Department of Biomedicine, University of BaselBaselSwitzerland
| | - Julien Roux
- Bioinformatics Core Facility, Department of Biomedicine, University of BaselBaselSwitzerland
- Swiss Institute of BioinformaticsBaselSwitzerland
| | - Steffen Dettling
- Roche Pharmaceutical Research and Early Development, Roche Innovation Center MunichPenzbergGermany
| | - Sabrina Hogan
- Brain Tumor Immunotherapy Lab, Department of Biomedicine, University of BaselBaselSwitzerland
| | - Tala Shekarian
- Brain Tumor Immunotherapy Lab, Department of Biomedicine, University of BaselBaselSwitzerland
| | - Tomás A Martins
- Brain Tumor Immunotherapy Lab, Department of Biomedicine, University of BaselBaselSwitzerland
| | - Marie-Françoise Ritz
- Brain Tumor Immunotherapy Lab, Department of Biomedicine, University of BaselBaselSwitzerland
| | - Sylvia Herter
- Roche Pharmaceutical Research and Early Development, Roche Innovation Center ZürichSchlierenSwitzerland
| | - Marina Bacac
- Roche Pharmaceutical Research and Early Development, Roche Innovation Center ZürichSchlierenSwitzerland
| | - Gregor Hutter
- Brain Tumor Immunotherapy Lab, Department of Biomedicine, University of BaselBaselSwitzerland
- Department of Neurosurgery, University Hospital BaselBaselSwitzerland
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Lewis EM, Mao L, Wang L, Swanson KR, Barajas RF, Li J, Tran NL, Hu LS, Plaisier CL. Revealing the biology behind MRI signatures in high grade glioma. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.12.08.23299733. [PMID: 38168377 PMCID: PMC10760280 DOI: 10.1101/2023.12.08.23299733] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/05/2024]
Abstract
Magnetic resonance imaging (MRI) measurements are routinely collected during the treatment of high-grade gliomas (HGGs) to characterize tumor boundaries and guide surgical tumor resection. Using spatially matched MRI and transcriptomics we discovered HGG tumor biology captured by MRI measurements. We strategically overlaid the spatially matched omics characterizations onto a pre-existing transcriptional map of glioblastoma multiforme (GBM) to enhance the robustness of our analyses. We discovered that T1+C measurements, designed to capture vasculature and blood brain barrier (BBB) breakdown and subsequent contrast extravasation, also indirectly reveal immune cell infiltration. The disruption of the vasculature and BBB within the tumor creates a permissive infiltrative environment that enables the transmigration of anti-inflammatory macrophages into tumors. These relationships were validated through histology and enrichment of genes associated with immune cell transmigration and proliferation. Additionally, T2-weighted (T2W) and mean diffusivity (MD) measurements were associated with angiogenesis and validated using histology and enrichment of genes involved in neovascularization. Furthermore, we establish an unbiased approach for identifying additional linkages between MRI measurements and tumor biology in future studies, particularly with the integration of novel MRI techniques. Lastly, we illustrated how noninvasive MRI can be used to map HGG biology spatially across a tumor, and this provides a platform to develop diagnostics, prognostics, or treatment efficacy biomarkers to improve patient outcomes.
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Affiliation(s)
- Erika M Lewis
- School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, 85287, USA
| | - Lingchao Mao
- H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA
| | - Lujia Wang
- H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA
| | - Kristin R Swanson
- Mathematical Neuro-Oncology Lab, Department of Neurological Surgery, Mayo Clinic, Phoenix, AZ, 85054, USA
- Department of Neurosurgery, Mayo Clinic, Phoenix, AZ, 85054, USA
| | - Ramon F Barajas
- Advanced Imaging Research Center, Oregon Health & Sciences University, USA
- Department of Radiology, Neuroradiology Section, Oregon Health & Sciences University, USA
- Knight Cancer Institute, Oregon Health & Sciences University, USA
| | - Jing Li
- H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA
| | - Nhan L Tran
- Department of Neurosurgery, Mayo Clinic, Phoenix, AZ, 85054, USA
- Department of Cancer Biology, Mayo Clinic, Phoenix, AZ, 85054, USA
| | - Leland S Hu
- Mathematical Neuro-Oncology Lab, Department of Neurological Surgery, Mayo Clinic, Phoenix, AZ, 85054, USA
- Department of Radiology, Mayo Clinic, Phoenix, AZ, 85054, USA
- School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ, 85281, USA
| | - Christopher L Plaisier
- School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, 85287, USA
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Yabo YA, Moreno-Sanchez PM, Pires-Afonso Y, Kaoma T, Nosirov B, Scafidi A, Ermini L, Lipsa A, Oudin A, Kyriakis D, Grzyb K, Poovathingal SK, Poli A, Muller A, Toth R, Klink B, Berchem G, Berthold C, Hertel F, Mittelbronn M, Heiland DH, Skupin A, Nazarov PV, Niclou SP, Michelucci A, Golebiewska A. Glioblastoma-instructed microglia transition to heterogeneous phenotypic states with phagocytic and dendritic cell-like features in patient tumors and patient-derived orthotopic xenografts. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.03.05.531162. [PMID: 36945572 PMCID: PMC10028830 DOI: 10.1101/2023.03.05.531162] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/12/2023]
Abstract
Background A major contributing factor to glioblastoma (GBM) development and progression is its ability to evade the immune system by creating an immune-suppressive environment, where GBM-associated myeloid cells, including resident microglia and peripheral monocyte-derived macrophages, play critical pro-tumoral roles. However, it is unclear whether recruited myeloid cells are phenotypically and functionally identical in GBM patients and whether this heterogeneity is recapitulated in patient-derived orthotopic xenografts (PDOXs). A thorough understanding of the GBM ecosystem and its recapitulation in preclinical models is currently missing, leading to inaccurate results and failures of clinical trials. Methods Here, we report systematic characterization of the tumor microenvironment (TME) in GBM PDOXs and patient tumors at the single-cell and spatial levels. We applied single-cell RNA-sequencing, spatial transcriptomics, multicolor flow cytometry, immunohistochemistry and functional studies to examine the heterogeneous TME instructed by GBM cells. GBM PDOXs representing different tumor phenotypes were compared to glioma mouse GL261 syngeneic model and patient tumors. Results We show that GBM tumor cells reciprocally interact with host cells to create a GBM patient-specific TME in PDOXs. We detected the most prominent transcriptomic adaptations in myeloid cells, with brain-resident microglia representing the main population in the cellular tumor, while peripheral-derived myeloid cells infiltrated the brain at sites of blood-brain barrier disruption. More specifically, we show that GBM-educated microglia undergo transition to diverse phenotypic states across distinct GBM landscapes and tumor niches. GBM-educated microglia subsets display phagocytic and dendritic cell-like gene expression programs. Additionally, we found novel microglial states expressing cell cycle programs, astrocytic or endothelial markers. Lastly, we show that temozolomide treatment leads to transcriptomic plasticity and altered crosstalk between GBM tumor cells and adjacent TME components. Conclusions Our data provide novel insights into the phenotypic adaptation of the heterogeneous TME instructed by GBM tumors. We show the key role of microglial phenotypic states in supporting GBM tumor growth and response to treatment. Our data place PDOXs as relevant models to assess the functionality of the TME and changes in the GBM ecosystem upon treatment.
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Affiliation(s)
- Yahaya A Yabo
- NORLUX Neuro-Oncology Laboratory, Department of Cancer Research, Luxembourg Institute of Health (LIH), L-1526 Luxembourg, Luxembourg
- Department of Life Sciences and Medicine, Faculty of Science, Technology and Medicine (FSTM), University of Luxembourg, L-4367 Belvaux, Luxembourg
| | - Pilar M Moreno-Sanchez
- NORLUX Neuro-Oncology Laboratory, Department of Cancer Research, Luxembourg Institute of Health (LIH), L-1526 Luxembourg, Luxembourg
- Department of Life Sciences and Medicine, Faculty of Science, Technology and Medicine (FSTM), University of Luxembourg, L-4367 Belvaux, Luxembourg
| | - Yolanda Pires-Afonso
- Department of Life Sciences and Medicine, Faculty of Science, Technology and Medicine (FSTM), University of Luxembourg, L-4367 Belvaux, Luxembourg
- Neuro-Immunology Group, Department of Cancer Research, Luxembourg Institute of Health, L-1526 Luxembourg, Luxembourg
| | - Tony Kaoma
- Multiomics Data Science, Department of Cancer Research, Luxembourg Institute of Health, L-1445 Strassen, Luxembourg
| | - Bakhtiyor Nosirov
- NORLUX Neuro-Oncology Laboratory, Department of Cancer Research, Luxembourg Institute of Health (LIH), L-1526 Luxembourg, Luxembourg
- Multiomics Data Science, Department of Cancer Research, Luxembourg Institute of Health, L-1445 Strassen, Luxembourg
| | - Andrea Scafidi
- Department of Life Sciences and Medicine, Faculty of Science, Technology and Medicine (FSTM), University of Luxembourg, L-4367 Belvaux, Luxembourg
- Neuro-Immunology Group, Department of Cancer Research, Luxembourg Institute of Health, L-1526 Luxembourg, Luxembourg
| | - Luca Ermini
- NORLUX Neuro-Oncology Laboratory, Department of Cancer Research, Luxembourg Institute of Health (LIH), L-1526 Luxembourg, Luxembourg
| | - Anuja Lipsa
- NORLUX Neuro-Oncology Laboratory, Department of Cancer Research, Luxembourg Institute of Health (LIH), L-1526 Luxembourg, Luxembourg
| | - Anaïs Oudin
- NORLUX Neuro-Oncology Laboratory, Department of Cancer Research, Luxembourg Institute of Health (LIH), L-1526 Luxembourg, Luxembourg
| | - Dimitrios Kyriakis
- Department of Life Sciences and Medicine, Faculty of Science, Technology and Medicine (FSTM), University of Luxembourg, L-4367 Belvaux, Luxembourg
- Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, L-4362 Esch-sur-Alzette, Luxembourg
| | - Kamil Grzyb
- Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, L-4362 Esch-sur-Alzette, Luxembourg
| | - Suresh K Poovathingal
- Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, L-4362 Esch-sur-Alzette, Luxembourg
- Single Cell Analytics & Microfluidics Core, Vlaams Instituut voor Biotechnologie-KU Leuven, 3000 Leuven, Belgium
| | - Aurélie Poli
- Neuro-Immunology Group, Department of Cancer Research, Luxembourg Institute of Health, L-1526 Luxembourg, Luxembourg
| | - Arnaud Muller
- Multiomics Data Science, Department of Cancer Research, Luxembourg Institute of Health, L-1445 Strassen, Luxembourg
| | - Reka Toth
- Multiomics Data Science, Department of Cancer Research, Luxembourg Institute of Health, L-1445 Strassen, Luxembourg
| | - Barbara Klink
- National Center of Genetics, Laboratoire National de Santé, L-3555 Dudelange, Luxembourg
- Department of Cancer Research, Luxembourg Institute of Health, L-1526 Luxembourg, Luxembourg
- German Cancer Consortium (DKTK), 01307 Dresden, Germany; Core Unit for Molecular Tumor Diagnostics (CMTD), National Center for Tumor Diseases (NCT), 01307 Dresden, Germany; German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
- Institute for Clinical Genetics, Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, 01307 Dresden, Germany
| | - Guy Berchem
- Department of Life Sciences and Medicine, Faculty of Science, Technology and Medicine (FSTM), University of Luxembourg, L-4367 Belvaux, Luxembourg
- Department of Cancer Research, Luxembourg Institute of Health, L-1526 Luxembourg, Luxembourg
- Centre Hospitalier Luxembourg, 1210 Luxembourg, Luxembourg
| | | | - Frank Hertel
- Centre Hospitalier Luxembourg, 1210 Luxembourg, Luxembourg
| | - Michel Mittelbronn
- Department of Life Sciences and Medicine, Faculty of Science, Technology and Medicine (FSTM), University of Luxembourg, L-4367 Belvaux, Luxembourg
- Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, L-4362 Esch-sur-Alzette, Luxembourg
- Department of Cancer Research, Luxembourg Institute of Health, L-1526 Luxembourg, Luxembourg
- Luxembourg Center of Neuropathology (LCNP), Luxembourg
- National Center of Pathology (NCP), Laboratoire National de Santé, L-3555 Dudelange, Luxembourg
| | - Dieter H Heiland
- Microenvironment and Immunology Research Laboratory, Medical Center - University of Freiburg, Freiburg, Germany
- Department of Neurosurgery, Medical Center - University of Freiburg, Freiburg, Germany
- Department of Neurological Surgery, Lou and Jean Malnati Brain Tumor Institute, Robert H. Lurie Comprehensive Cancer Center, Feinberg School of Medicine, Northwestern University, Chicago, Illinois
| | - Alexander Skupin
- Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, L-4362 Esch-sur-Alzette, Luxembourg
- Department of Physics and Material Science, University Luxembourg, L-4367 Belvaux, Luxembourg
- Department of Neuroscience, University of California San Diego, La Jolla, CA 92093, USA
| | - Petr V Nazarov
- Multiomics Data Science, Department of Cancer Research, Luxembourg Institute of Health, L-1445 Strassen, Luxembourg
| | - Simone P Niclou
- NORLUX Neuro-Oncology Laboratory, Department of Cancer Research, Luxembourg Institute of Health (LIH), L-1526 Luxembourg, Luxembourg
- Department of Life Sciences and Medicine, Faculty of Science, Technology and Medicine (FSTM), University of Luxembourg, L-4367 Belvaux, Luxembourg
| | - Alessandro Michelucci
- NORLUX Neuro-Oncology Laboratory, Department of Cancer Research, Luxembourg Institute of Health (LIH), L-1526 Luxembourg, Luxembourg
- Neuro-Immunology Group, Department of Cancer Research, Luxembourg Institute of Health, L-1526 Luxembourg, Luxembourg
- Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, L-4362 Esch-sur-Alzette, Luxembourg
| | - Anna Golebiewska
- NORLUX Neuro-Oncology Laboratory, Department of Cancer Research, Luxembourg Institute of Health (LIH), L-1526 Luxembourg, Luxembourg
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Kirchgaessner R, Watson C, Creason A, Keutler K, Goecks J. Imputing Single-Cell Protein Abundance in Multiplex Tissue Imaging. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.12.05.570058. [PMID: 38106203 PMCID: PMC10723289 DOI: 10.1101/2023.12.05.570058] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/19/2023]
Abstract
Multiplex tissue imaging are a collection of increasingly popular single-cell spatial proteomics and transcriptomics assays for characterizing biological tissues both compositionally and spatially. However, several technical issues limit the utility of multiplex tissue imaging, including the limited number of RNAs and proteins that can be assayed, tissue loss, and protein probe failure. In this work, we demonstrate how machine learning methods can address these limitations by imputing protein abundance at the single-cell level using multiplex tissue imaging datasets from a breast cancer cohort. We first compared machine learning methods' strengths and weaknesses for imputing single-cell protein abundance. Machine learning methods used in this work include regularized linear regression, gradient-boosted regression trees, and deep learning autoencoders. We also incorporated cellular spatial information to improve imputation performance. Using machine learning, single-cell protein expression can be imputed with mean absolute error ranging between 0.05-0.3 on a [0,1] scale. Our results demonstrate (1) the feasibility of imputing single-cell abundance levels for many proteins using machine learning to overcome the technical constraints of multiplex tissue imaging and (2) how including cellular spatial information can substantially enhance imputation results.
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Affiliation(s)
- Raphael Kirchgaessner
- Department of Biomedical Engineering, Oregon Health & Science University, Portland, OR 97239
- The Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239
| | - Cameron Watson
- Department of Biomedical Engineering, Oregon Health & Science University, Portland, OR 97239
- The Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239
| | - Allison Creason
- Department of Biomedical Engineering, Oregon Health & Science University, Portland, OR 97239
- The Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239
| | - Kaya Keutler
- Department of Chemical Physiology and Biochemistry, Oregon Health & Science University, Portland, OR 97210, USA
| | - Jeremy Goecks
- Department of Biomedical Engineering, Oregon Health & Science University, Portland, OR 97239
- Department of Machine Learning, Moffitt Cancer Center, Tampa, FL 33612
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Cao L, Xie W, Ma W, Zhao H, Wang J, Liang Z, Tian S, Wang B, Ma J. The unique immune ecosystems in pediatric brain tumors: integrating single-cell and bulk RNA-sequencing. Front Immunol 2023; 14:1238684. [PMID: 38094301 PMCID: PMC10716463 DOI: 10.3389/fimmu.2023.1238684] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Accepted: 10/27/2023] [Indexed: 12/18/2023] Open
Abstract
Background The significant progress of immune therapy in non-central nervous system tumors has sparked interest in employing the same strategy for adult brain tumors. However, the advancement of immunotherapy in pediatric central nervous system (CNS) tumors is not yet on par. Currently, there is a lack of comprehensive comparative studies investigating the immune ecosystem in pediatric and adult CNS tumors at a high-resolution single-cell level. Methods In this study, we comprehensively analyzed over 0.3 million cells from 171 samples, encompassing adult gliomas (IDH wild type and IDH mutation) as well as four major types of pediatric brain tumors (medulloblastoma (MB), ependymoma (EPN), H3K27M-mutation (DIPG), and pediatric IDH-mutation glioma (P-IDH-M)). Our approach involved integrating publicly available and newly generated single-cell datasets. We compared the immune landscapes in different brain tumors, as well as the detailed functional phenotypes of T-cell and myeloid subpopulations. Through single-cell analysis, we identified gene sets associated with major cell types in the tumor microenvironment (gene features from single-cell data, scFes) and compared them with existing gene sets such as GSEA and xCell. The CBTTC and external GEO cohort was used to analyze and validate the immune-stromal-tumor patterns in pediatric brain tumors which might potentially respond to the immunotherapy. Results From the perspective of single-cell analysis, it was observed that major pediatric brain tumors (MB, EPN, P-IDH-M, DIPG) exhibited lower immune contents compared with adult gliomas. Additionally, these pediatric brain tumors displayed diverse immunophenotypes, particularly in regard to myeloid cells. Notably, the presence of HLA-enriched myeloid cells in MB was found to be independently associated with prognosis. Moreover, the scFes, when compared with commonly used gene features, demonstrated superior performance in independent single-cell datasets across various tumor types. Furthermore, our study revealed the existence of heterogeneous immune ecosystems at the bulk-RNA sequencing level among different brain tumor types. In addition, we identified several immune-stromal-tumor patterns that could potentially exhibit significant responses to conventional immune checkpoint inhibitors. Conclusion The single-cell technique provides a rational path to deeply understand the unique immune ecosystem of pediatric brain tumors. In spite of the traditional attitudes of "cold" tumor towards pediatric brain tumor, the immune-stroma-tumor patterns identified in this study suggest the feasibility of immune checkpoint inhibitors and pave the way for the upcoming tide of immunotherapy in pediatric brain tumors.
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Affiliation(s)
| | | | | | | | | | | | - Shuaiwei Tian
- Department of Pediatric Neurosurgery, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Baocheng Wang
- Department of Pediatric Neurosurgery, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jie Ma
- Department of Pediatric Neurosurgery, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
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41
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Blanco-Carmona E, Narayanan A, Hernandez I, Nieto JC, Elosua-Bayes M, Sun X, Schmidt C, Pamir N, Özduman K, Herold-Mende C, Pagani F, Cominelli M, Taranda J, Wick W, von Deimling A, Poliani PL, Rehli M, Schlesner M, Heyn H, Turcan Ş. Tumor heterogeneity and tumor-microglia interactions in primary and recurrent IDH1-mutant gliomas. Cell Rep Med 2023; 4:101249. [PMID: 37883975 PMCID: PMC10694621 DOI: 10.1016/j.xcrm.2023.101249] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Revised: 08/06/2023] [Accepted: 09/27/2023] [Indexed: 10/28/2023]
Abstract
The isocitrate dehydrogenase (IDH) gene is recurrently mutated in adult diffuse gliomas. IDH-mutant gliomas are categorized into oligodendrogliomas and astrocytomas, each with unique pathological features. Here, we use single-nucleus RNA and ATAC sequencing to compare the molecular heterogeneity of these glioma subtypes. In addition to astrocyte-like, oligodendrocyte progenitor-like, and cycling tumor subpopulations, a tumor population enriched for ribosomal genes and translation elongation factors is primarily present in oligodendrogliomas. Longitudinal analysis of astrocytomas indicates that the proportion of tumor subpopulations remains stable in recurrent tumors. Analysis of tumor-associated microglia/macrophages (TAMs) reveals significant differences between oligodendrogliomas, with astrocytomas harboring inflammatory TAMs expressing phosphorylated STAT1, as confirmed by immunohistochemistry. Furthermore, inferred receptor-ligand interactions between tumor subpopulations and TAMs may contribute to TAM state diversity. Overall, our study sheds light on distinct tumor populations, TAM heterogeneity, TAM-tumor interactions in IDH-mutant glioma subtypes, and the relative stability of tumor subpopulations in recurrent astrocytomas.
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Affiliation(s)
- Enrique Blanco-Carmona
- Hopp Children's Cancer Center (KiTZ), Heidelberg, Germany; Division of Pediatric Neurooncology, German Cancer Research Center (DKFZ) and German Cancer Consortium (DKTK), Heidelberg, Germany
| | - Ashwin Narayanan
- Neurology Clinic and National Center for Tumor Diseases, Heidelberg University Hospital and Heidelberg University, Heidelberg, Germany
| | - Inmaculada Hernandez
- Next Generation Sequencing Core, Leibniz Institute for Immunotherapy, c/o University Hospital Regensburg, Regensburg, Germany; CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Barcelona, Spain
| | - Juan C Nieto
- CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Barcelona, Spain
| | - Marc Elosua-Bayes
- CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Barcelona, Spain
| | - Xueyuan Sun
- Neurology Clinic and National Center for Tumor Diseases, Heidelberg University Hospital and Heidelberg University, Heidelberg, Germany; DKTK CCU Neurooncology, DKFZ, Heidelberg, Germany
| | - Claudia Schmidt
- Core Facility Unit Light Microscopy, DKFZ, Heidelberg, Germany
| | - Necmettin Pamir
- Acıbadem Mehmet Ali Aydınlar University, School of Medicine, Department of Neurosurgery, Istanbul, Turkey
| | - Koray Özduman
- Acıbadem Mehmet Ali Aydınlar University, School of Medicine, Department of Neurosurgery, Istanbul, Turkey
| | - Christel Herold-Mende
- Division of Experimental Neurosurgery, Department of Neurosurgery, Heidelberg University Hospital, Heidelberg, Germany
| | - Francesca Pagani
- Pathology Unit, Department of Molecular and Translational Medicine, University of Brescia Medical School, Brescia, Italy
| | - Manuela Cominelli
- Pathology Unit, Department of Molecular and Translational Medicine, University of Brescia Medical School, Brescia, Italy
| | - Julian Taranda
- Neurology Clinic and National Center for Tumor Diseases, Heidelberg University Hospital and Heidelberg University, Heidelberg, Germany; DKTK CCU Neurooncology, DKFZ, Heidelberg, Germany
| | - Wolfgang Wick
- Neurology Clinic and National Center for Tumor Diseases, Heidelberg University Hospital and Heidelberg University, Heidelberg, Germany; DKTK CCU Neurooncology, DKFZ, Heidelberg, Germany
| | - Andreas von Deimling
- Department of Neuropathology, Heidelberg University Hospital, and DKTK CCU Neuropathology, DKFZ, Heidelberg, Germany
| | - Pietro Luigi Poliani
- Pathology Unit, Department of Molecular and Translational Medicine, University of Brescia Medical School, Brescia, Italy
| | - Michael Rehli
- Next Generation Sequencing Core, Leibniz Institute for Immunotherapy, c/o University Hospital Regensburg, Regensburg, Germany; Department of Internal Medicine III, University Hospital Regensburg, Regensburg, Germany
| | - Matthias Schlesner
- Biomedical Informatics, Data Mining and Data Analytics, Faculty for Applied Informatics, University of Augsburg, Augsburg, Germany
| | - Holger Heyn
- CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Barcelona, Spain; Universitat Pompeu Fabra, Barcelona, Spain.
| | - Şevin Turcan
- Neurology Clinic and National Center for Tumor Diseases, Heidelberg University Hospital and Heidelberg University, Heidelberg, Germany; DKTK CCU Neurooncology, DKFZ, Heidelberg, Germany.
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Linville RM, Maressa J, Guo Z, Chung TD, Farrell A, Jha R, Searson PC. A tissue-engineered model of the blood-tumor barrier during metastatic breast cancer. Fluids Barriers CNS 2023; 20:80. [PMID: 37924145 PMCID: PMC10623725 DOI: 10.1186/s12987-023-00482-9] [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: 07/07/2023] [Accepted: 10/22/2023] [Indexed: 11/06/2023] Open
Abstract
Metastatic brain cancer has poor prognosis due to challenges in both detection and treatment. One contributor to poor prognosis is the blood-brain barrier (BBB), which severely limits the transport of therapeutic agents to intracranial tumors. During the development of brain metastases from primary breast cancer, the BBB is modified and is termed the 'blood-tumor barrier' (BTB). A better understanding of the differences between the BBB and BTB across cancer types and stages may assist in identifying new therapeutic targets. Here, we utilize a tissue-engineered microvessel model with induced pluripotent stem cell (iPSC)-derived brain microvascular endothelial-like cells (iBMECs) and surrounded by human breast metastatic cancer spheroids with brain tropism. We directly compare BBB and BTB in vitro microvessels to unravel both physical and chemical interactions occurring during perivascular cancer growth. We determine the dynamics of vascular co-option by cancer cells, modes of vascular degeneration, and quantify the endothelial barrier to antibody transport. Additionally, using bulk RNA sequencing, ELISA of microvessel perfusates, and related functional assays, we probe early brain endothelial changes in the presence of cancer cells. We find that immune cell adhesion and endothelial turnover are elevated within the metastatic BTB, and that macrophages exert a unique influence on BTB identity. Our model provides a novel three-dimensional system to study mechanisms of cancer-vascular-immune interactions and drug delivery occurring within the BTB.
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Affiliation(s)
- Raleigh M Linville
- Institute for Nanobiotechnology, Johns Hopkins University, 100 Croft Hall, 3400 North Charles Street, Baltimore, MD, 21218, USA
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Joanna Maressa
- Institute for Nanobiotechnology, Johns Hopkins University, 100 Croft Hall, 3400 North Charles Street, Baltimore, MD, 21218, USA
- Department of Materials Science and Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Zhaobin Guo
- Institute for Nanobiotechnology, Johns Hopkins University, 100 Croft Hall, 3400 North Charles Street, Baltimore, MD, 21218, USA
| | - Tracy D Chung
- Institute for Nanobiotechnology, Johns Hopkins University, 100 Croft Hall, 3400 North Charles Street, Baltimore, MD, 21218, USA
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Alanna Farrell
- Institute for Nanobiotechnology, Johns Hopkins University, 100 Croft Hall, 3400 North Charles Street, Baltimore, MD, 21218, USA
| | - Ria Jha
- Institute for Nanobiotechnology, Johns Hopkins University, 100 Croft Hall, 3400 North Charles Street, Baltimore, MD, 21218, USA
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Peter C Searson
- Institute for Nanobiotechnology, Johns Hopkins University, 100 Croft Hall, 3400 North Charles Street, Baltimore, MD, 21218, USA.
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.
- Department of Materials Science and Engineering, Johns Hopkins University, Baltimore, MD, USA.
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Hänsch L, Peipp M, Mastall M, Villars D, Myburgh R, Silginer M, Weiss T, Gramatzki D, Vasella F, Manz MG, Weller M, Roth P. Chimeric antigen receptor T cell-based targeting of CD317 as a novel immunotherapeutic strategy against glioblastoma. Neuro Oncol 2023; 25:2001-2014. [PMID: 37335916 PMCID: PMC10628943 DOI: 10.1093/neuonc/noad108] [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: 10/03/2022] [Indexed: 06/21/2023] Open
Abstract
BACKGROUND Chimeric antigen receptor (CAR) T cell therapy has proven to be successful against hematological malignancies. However, exploiting CAR T cells to treat solid tumors is more challenging for various reasons including the lack of suitable target antigens. Here, we identify the transmembrane protein CD317 as a novel target antigen for CAR T cell therapy against glioblastoma, one of the most aggressive solid tumors. METHODS CD317-targeting CAR T cells were generated by lentivirally transducing human T cells from healthy donors. The anti-glioma activity of CD317-CAR T cells toward various glioma cells was assessed in vitro in cell lysis assays. Subsequently, we determined the efficacy of CD317-CAR T cells to control tumor growth in vivo in clinically relevant mouse glioma models. RESULTS We generated CD317-specific CAR T cells and demonstrate strong anti-tumor activity against several glioma cell lines as well as primary patient-derived cells with varying CD317 expression levels in vitro. A CRISPR/Cas9-mediated knockout of CD317 protected glioma cells from CAR T cell lysis, demonstrating the target specificity of the approach. Silencing of CD317 expression in T cells by RNA interference reduced fratricide of engineered T cells and further improved their effector function. Using orthotopic glioma mouse models, we demonstrate the antigen-specific anti-tumor activity of CD317-CAR T cells, which resulted in prolonged survival and cure of a fraction of CAR T cell-treated animals. CONCLUSIONS These data reveal a promising role of CD317-CAR T cell therapy against glioblastoma, which warrants further evaluation to translate this immunotherapeutic strategy into clinical neuro-oncology.
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Affiliation(s)
- Lena Hänsch
- Department of Neurology and Brain Tumor Center, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | - Matthias Peipp
- Division of Antibody-Based Immunotherapy, Department of Internal Medicine II, University Hospital Schleswig-Holstein, Campus Kiel, Kiel, Germany
- Division of Antibody-based Immunotherapy, Christian-Albrechts-University, Kiel, Germany
| | - Maximilian Mastall
- Department of Neurology and Brain Tumor Center, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | - Danielle Villars
- Department of Neurology and Brain Tumor Center, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | - Renier Myburgh
- Department of Medical Oncology and Hematology, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | - Manuela Silginer
- Department of Neurology and Brain Tumor Center, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | - Tobias Weiss
- Department of Neurology and Brain Tumor Center, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | - Dorothee Gramatzki
- Department of Neurology and Brain Tumor Center, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | - Flavio Vasella
- Department of Neurology and Brain Tumor Center, University Hospital Zurich and University of Zurich, Zurich, Switzerland
- Department of Neurosurgery, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | - Markus G Manz
- Department of Medical Oncology and Hematology, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | - Michael Weller
- Department of Neurology and Brain Tumor Center, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | - Patrick Roth
- Department of Neurology and Brain Tumor Center, University Hospital Zurich and University of Zurich, Zurich, Switzerland
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Silvin A, Qian J, Ginhoux F. Brain macrophage development, diversity and dysregulation in health and disease. Cell Mol Immunol 2023; 20:1277-1289. [PMID: 37365324 PMCID: PMC10616292 DOI: 10.1038/s41423-023-01053-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Accepted: 06/01/2023] [Indexed: 06/28/2023] Open
Abstract
Brain macrophages include microglia in the parenchyma, border-associated macrophages in the meningeal-choroid plexus-perivascular space, and monocyte-derived macrophages that infiltrate the brain under various disease conditions. The vast heterogeneity of these cells has been elucidated over the last decade using revolutionary multiomics technologies. As such, we can now start to define these various macrophage populations according to their ontogeny and their diverse functional programs during brain development, homeostasis and disease pathogenesis. In this review, we first outline the critical roles played by brain macrophages during development and healthy aging. We then discuss how brain macrophages might undergo reprogramming and contribute to neurodegenerative disorders, autoimmune diseases, and glioma. Finally, we speculate about the most recent and ongoing discoveries that are prompting translational attempts to leverage brain macrophages as prognostic markers or therapeutic targets for diseases that affect the brain.
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Affiliation(s)
- Aymeric Silvin
- INSERM U1015, Gustave Roussy Cancer Campus, Villejuif, 94800, France
| | - Jiawen Qian
- Shanghai Institute of Immunology, Department of Immunology and Microbiology, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Florent Ginhoux
- INSERM U1015, Gustave Roussy Cancer Campus, Villejuif, 94800, France.
- Shanghai Institute of Immunology, Department of Immunology and Microbiology, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
- Singapore Immunology Network, Agency for Science, Technology and Research, Singapore, 138648, Republic of Singapore.
- Translational Immunology Institute, SingHealth Duke-NUS Academic Medical Centre, Singapore, 169856, Singapore.
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45
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Miller TE, El Farran CA, Couturier CP, Chen Z, D’Antonio JP, Verga J, Villanueva MA, Castro LNG, Tong YE, Saadi TA, Chiocca AN, Fischer DS, Heiland DH, Guerriero JL, Petrecca K, Suva ML, Shalek AK, Bernstein BE. Programs, Origins, and Niches of Immunomodulatory Myeloid Cells in Gliomas. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.10.24.563466. [PMID: 37961527 PMCID: PMC10634776 DOI: 10.1101/2023.10.24.563466] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2023]
Abstract
Gliomas are incurable malignancies notable for an immunosuppressive microenvironment with abundant myeloid cells whose immunomodulatory properties remain poorly defined. Here, utilizing scRNA-seq data for 183,062 myeloid cells from 85 human tumors, we discover that nearly all glioma-associated myeloid cells express at least one of four immunomodulatory activity programs: Scavenger Immunosuppressive, C1Q Immunosuppressive, CXCR4 Inflammatory, and IL1B Inflammatory. All four programs are present in IDH1 mutant and wild-type gliomas and are expressed in macrophages, monocytes, and microglia whether of blood or resident myeloid cell origins. Integrating our scRNA-seq data with mitochondrial DNA-based lineage tracing, spatial transcriptomics, and organoid explant systems that model peripheral monocyte infiltration, we show that these programs are driven by microenvironmental cues and therapies rather than myeloid cell type, origin, or mutation status. The C1Q Immunosuppressive program is driven by routinely administered dexamethasone. The Scavenger Immunosuppressive program includes ligands with established roles in T-cell suppression, is induced in hypoxic regions, and is associated with immunotherapy resistance. Both immunosuppressive programs are less prevalent in lower-grade gliomas, which are instead enriched for the CXCR4 Inflammatory program. Our study provides a framework to understand immunomodulatory myeloid cells in glioma, and a foundation to develop more effective immunotherapies.
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Affiliation(s)
- Tyler E. Miller
- Department of Pathology and Center for Cancer Research, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
- Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
- Department of Cancer Biology, Dana Farber Cancer Institute, Boston, MA 02215, USA
- Department of Cell Biology and Pathology, Harvard Medical School, Boston, MA 02215, USA
- Ludwig Center at Harvard Medical School, Boston, MA, USA
| | - Chadi A. El Farran
- Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
- Department of Cancer Biology, Dana Farber Cancer Institute, Boston, MA 02215, USA
- Department of Cell Biology and Pathology, Harvard Medical School, Boston, MA 02215, USA
- Ludwig Center at Harvard Medical School, Boston, MA, USA
| | - Charles P. Couturier
- Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
- Department of Cancer Biology, Dana Farber Cancer Institute, Boston, MA 02215, USA
- Institute for Medical Engineering and Sciences and Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
- Department of Neurosurgery, Brigham and Women’s Hospital, Boston, MA 02115 USA
- Ragon Institute of MGH, MIT and Harvard, Cambridge, MA 02139, USA
| | - Zeyu Chen
- Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
- Department of Cancer Biology, Dana Farber Cancer Institute, Boston, MA 02215, USA
- Department of Cell Biology and Pathology, Harvard Medical School, Boston, MA 02215, USA
| | - Joshua P. D’Antonio
- Department of Cancer Biology, Dana Farber Cancer Institute, Boston, MA 02215, USA
- Department of Cell Biology and Pathology, Harvard Medical School, Boston, MA 02215, USA
| | - Julia Verga
- Department of Cancer Biology, Dana Farber Cancer Institute, Boston, MA 02215, USA
| | - Martin A. Villanueva
- Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
- Institute for Medical Engineering and Sciences and Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - L. Nicolas Gonzalez Castro
- Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
- Center for Neuro-Oncology, Dana-Farber Cancer Institute; Department of Neurology, Brigham and Women’s Hospital, Boston, MA 02115 USA
| | - Yuzhou Evelyn Tong
- Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
- Institute for Medical Engineering and Sciences and Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
- Ragon Institute of MGH, MIT and Harvard, Cambridge, MA 02139, USA
| | - Tariq Al Saadi
- Department of Neurology and Neurosurgery, Montreal Neurological Institute-Hospital, McGill University, Montreal, Quebec, Canada
| | - Andrew N. Chiocca
- Department of Cancer Biology, Dana Farber Cancer Institute, Boston, MA 02215, USA
| | | | - Dieter Henrik Heiland
- Microenvironment and Immunology Research Laboratory, Medical Center - University of Freiburg, Freiburg, Germany. Department of Neurological Surgery, Northwestern University Feinberg School of Medicine, Chicago, USA
| | - Jennifer L. Guerriero
- Ludwig Center at Harvard Medical School, Boston, MA, USA
- Breast Oncology Program, Dana-Farber Cancer Institute; Division of Breast Surgery, Department of Surgery, Brigham and Women’s Hospital, Boston, MA, USA
| | - Kevin Petrecca
- Department of Neurology and Neurosurgery, Montreal Neurological Institute-Hospital, McGill University, Montreal, Quebec, Canada
| | - Mario L. Suva
- Department of Pathology and Center for Cancer Research, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
- Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
| | - Alex K. Shalek
- Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
- Institute for Medical Engineering and Sciences and Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
- Ragon Institute of MGH, MIT and Harvard, Cambridge, MA 02139, USA
| | - Bradley E. Bernstein
- Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
- Department of Cancer Biology, Dana Farber Cancer Institute, Boston, MA 02215, USA
- Department of Cell Biology and Pathology, Harvard Medical School, Boston, MA 02215, USA
- Ludwig Center at Harvard Medical School, Boston, MA, USA
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Bhattacharyya S, Ehsan SF, Karacosta LG. Phenotypic maps for precision medicine: a promising systems biology tool for assessing therapy response and resistance at a personalized level. FRONTIERS IN NETWORK PHYSIOLOGY 2023; 3:1256104. [PMID: 37964768 PMCID: PMC10642209 DOI: 10.3389/fnetp.2023.1256104] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Accepted: 09/28/2023] [Indexed: 11/16/2023]
Abstract
In this perspective we discuss how tumor heterogeneity and therapy resistance necessitate a focus on more personalized approaches, prompting a shift toward precision medicine. At the heart of the shift towards personalized medicine, omics-driven systems biology becomes a driving force as it leverages high-throughput technologies and novel bioinformatics tools. These enable the creation of systems-based maps, providing a comprehensive view of individual tumor's functional plasticity. We highlight the innovative PHENOSTAMP program, which leverages high-dimensional data to construct a visually intuitive and user-friendly map. This map was created to encapsulate complex transitional states in cancer cells, such as Epithelial-Mesenchymal Transition (EMT) and Mesenchymal-Epithelial Transition (MET), offering a visually intuitive way to understand disease progression and therapeutic responses at single-cell resolution in relation to EMT-related single-cell phenotypes. Most importantly, PHENOSTAMP functions as a reference map, which allows researchers and clinicians to assess one clinical specimen at a time in relation to their phenotypic heterogeneity, setting the foundation on constructing phenotypic maps for personalized medicine. This perspective argues that such dynamic predictive maps could also catalyze the development of personalized cancer treatment. They hold the potential to transform our understanding of cancer biology, providing a foundation for a future where therapy is tailored to each patient's unique molecular and cellular tumor profile. As our knowledge of cancer expands, these maps can be continually refined, ensuring they remain a valuable tool in precision oncology.
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Affiliation(s)
- Sayantan Bhattacharyya
- Department of Cancer Systems Imaging, University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Shafqat F. Ehsan
- Department of Cancer Systems Imaging, University of Texas MD Anderson Cancer Center, Houston, TX, United States
- Department of Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Loukia G. Karacosta
- Department of Cancer Systems Imaging, University of Texas MD Anderson Cancer Center, Houston, TX, United States
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Musca B, Russo MG, Tushe A, Magri S, Battaggia G, Pinton L, Bonaudo C, Della Puppa A, Mandruzzato S. The immune cell landscape of glioblastoma patients highlights a myeloid-enriched and immune suppressed microenvironment compared to metastatic brain tumors. Front Immunol 2023; 14:1236824. [PMID: 37936683 PMCID: PMC10626453 DOI: 10.3389/fimmu.2023.1236824] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Accepted: 10/04/2023] [Indexed: 11/09/2023] Open
Abstract
Introduction Brain metastases (BrM), which commonly arise in patients with melanoma, breast cancer and lung cancer, are associated with a poor clinical prognosis. In this context, the tumor microenvironment (TME) plays an important role since it either promotes or inhibits tumor progression. Our previous studies have characterized the immunosuppressive microenvironment of glioblastoma (GBM). The aim of this study is to compare the immune profiles of BrM and GBM in order to identify potential differences that may be exploited in their differential treatment. Methods Tumor and/or blood samples were taken from 20 BrM patients and 19 GBM patients. Multi-parametric flow cytometry was used to evaluate myeloid and lymphoid cells, as well as the expression of immune checkpoints in the TME and blood. In selected cases, the immunosuppressive ability of sorted myeloid cells was tested, and the ex vivo proliferation of myeloid, lymphoid and tumor cell populations was analyzed. Results High frequencies of myeloid cells dominated both the BrM and GBM landscapes, but a higher presence of tumor-associated macrophages was observed in GBM, while BrM were characterized by a significant presence of tumor-infiltrating lymphocytes. Exhaustion markers were highly expressed in all T cells from both primary and metastatic brain tumors. Ex vivo analysis of the cell cycle of a single sample of a BrM and of a GBM revealed subsets of proliferating tumor cells and blood-derived macrophages, but quiescent resident microglial cells and few proliferating lymphocytes. Macrophages sorted from a single lung BrM exhibited a strong immunosuppressive activity, as previously shown for primary GBM. Finally, a significant expansion of some myeloid cell subsets was observed in the blood of both GBM and BrM patients. Discussion Our results define the main characteristics of the immune profile of BrM and GBM, which are distinguished by different levels of immunosuppressive myeloid cells and lymphocytes devoid of effector function. Understanding the role of the different cells in establishing the metastatic setting is critical for improving the therapeutic efficacy of new targeted immunotherapy strategies.
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Affiliation(s)
- Beatrice Musca
- Immunology and Molecular Oncology, Veneto Institute of Oncology IOV – IRCCS, Padova, Italy
| | - Maria Giovanna Russo
- Immunology and Molecular Oncology, Veneto Institute of Oncology IOV – IRCCS, Padova, Italy
| | - Ada Tushe
- Department of Surgery, Oncology and Gastroenterology, University of Padova, Padova, Italy
| | - Sara Magri
- Department of Surgery, Oncology and Gastroenterology, University of Padova, Padova, Italy
| | - Greta Battaggia
- Immunology and Molecular Oncology, Veneto Institute of Oncology IOV – IRCCS, Padova, Italy
| | - Laura Pinton
- Immunology and Molecular Oncology, Veneto Institute of Oncology IOV – IRCCS, Padova, Italy
| | - Camilla Bonaudo
- Neurosurgery, Department of NEUROFARBA, University Hospital of Careggi, University of Florence, Florence, Italy
| | - Alessandro Della Puppa
- Neurosurgery, Department of NEUROFARBA, University Hospital of Careggi, University of Florence, Florence, Italy
| | - Susanna Mandruzzato
- Immunology and Molecular Oncology, Veneto Institute of Oncology IOV – IRCCS, Padova, Italy
- Department of Surgery, Oncology and Gastroenterology, University of Padova, Padova, Italy
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Gardam B, Gargett T, Brown MP, Ebert LM. Targeting the dendritic cell-T cell axis to develop effective immunotherapies for glioblastoma. Front Immunol 2023; 14:1261257. [PMID: 37928547 PMCID: PMC10623138 DOI: 10.3389/fimmu.2023.1261257] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Accepted: 10/09/2023] [Indexed: 11/07/2023] Open
Abstract
Glioblastoma is an aggressive primary brain tumor that has seen few advances in treatments for over 20 years. In response to this desperate clinical need, multiple immunotherapy strategies are under development, including CAR-T cells, immune checkpoint inhibitors, oncolytic viruses and dendritic cell vaccines, although these approaches are yet to yield significant clinical benefit. Potential reasons for the lack of success so far include the immunosuppressive tumor microenvironment, the blood-brain barrier, and systemic changes to the immune system driven by both the tumor and its treatment. Furthermore, while T cells are essential effector cells for tumor control, dendritic cells play an equally important role in T cell activation, and emerging evidence suggests the dendritic cell compartment may be deeply compromised in glioblastoma patients. In this review, we describe the immunotherapy approaches currently under development for glioblastoma and the challenges faced, with a particular emphasis on the critical role of the dendritic cell-T cell axis. We suggest a number of strategies that could be used to boost dendritic cell number and function and propose that the use of these in combination with T cell-targeting strategies could lead to successful tumor control.
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Affiliation(s)
- Bryan Gardam
- Adelaide Medical School, The University of Adelaide, Adelaide, SA, Australia
- Translational Oncology Laboratory, Centre for Cancer Biology, University of South Australia and South Australia (SA) Pathology, Adelaide, SA, Australia
| | - Tessa Gargett
- Adelaide Medical School, The University of Adelaide, Adelaide, SA, Australia
- Translational Oncology Laboratory, Centre for Cancer Biology, University of South Australia and South Australia (SA) Pathology, Adelaide, SA, Australia
- Cancer Clinical Trials Unit, Royal Adelaide Hospital, Adelaide, SA, Australia
| | - Michael P. Brown
- Adelaide Medical School, The University of Adelaide, Adelaide, SA, Australia
- Translational Oncology Laboratory, Centre for Cancer Biology, University of South Australia and South Australia (SA) Pathology, Adelaide, SA, Australia
- Cancer Clinical Trials Unit, Royal Adelaide Hospital, Adelaide, SA, Australia
| | - Lisa M. Ebert
- Adelaide Medical School, The University of Adelaide, Adelaide, SA, Australia
- Translational Oncology Laboratory, Centre for Cancer Biology, University of South Australia and South Australia (SA) Pathology, Adelaide, SA, Australia
- Cancer Clinical Trials Unit, Royal Adelaide Hospital, Adelaide, SA, Australia
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Adir O, Sagi-Assif O, Meshel T, Ben-Menachem S, Pasmanik-Chor M, Hoon DSB, Witz IP, Izraely S. Heterogeneity in the Metastatic Microenvironment: JunB-Expressing Microglia Cells as Potential Drivers of Melanoma Brain Metastasis Progression. Cancers (Basel) 2023; 15:4979. [PMID: 37894348 PMCID: PMC10605008 DOI: 10.3390/cancers15204979] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Revised: 10/02/2023] [Accepted: 10/10/2023] [Indexed: 10/29/2023] Open
Abstract
Reciprocal signaling between melanoma brain metastatic (MBM) cells and microglia reprograms the phenotype of both interaction partners, including upregulation of the transcription factor JunB in microglia. Here, we aimed to elucidate the impact of microglial JunB upregulation on MBM progression. For molecular profiling, we employed RNA-seq and reverse-phase protein array (RPPA). To test microglial JunB functions, we generated microglia variants stably overexpressing JunB (JunBhi) or with downregulated levels of JunB (JunBlo). Melanoma-derived factors, namely leukemia inhibitory factor (LIF), controlled JunB upregulation through Janus kinase (JAK)/signal transducer and activator of transcription 3 (STAT3) signaling. The expression levels of JunB in melanoma-associated microglia were heterogeneous. Flow cytometry analysis revealed the existence of basal-level JunB-expressing microglia alongside microglia highly expressing JunB. Proteomic profiling revealed a differential protein expression in JunBhi and JunBlo cells, namely the expression of microglia activation markers Iba-1 and CD150, and the immunosuppressive molecules SOCS3 and PD-L1. Functionally, JunBhi microglia displayed decreased migratory capacity and phagocytic activity. JunBlo microglia reduced melanoma proliferation and migration, while JunBhi microglia preserved the ability of melanoma cells to proliferate in three-dimensional co-cultures, that was abrogated by targeting leukemia inhibitory factor receptor (LIFR) in control microglia-melanoma spheroids. Altogether, these data highlight a melanoma-mediated heterogenous effect on microglial JunB expression, dictating the nature of their functional involvement in MBM progression. Targeting microglia highly expressing JunB may potentially be utilized for MBM theranostics.
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Affiliation(s)
- Orit Adir
- The Shmunis School of Biomedicine and Cancer Research, The George S. Wise Faculty of Life Science, Tel Aviv University, Tel Aviv 6997801, Israel; (O.A.); (O.S.-A.); (T.M.); (S.B.-M.); (I.P.W.)
| | - Orit Sagi-Assif
- The Shmunis School of Biomedicine and Cancer Research, The George S. Wise Faculty of Life Science, Tel Aviv University, Tel Aviv 6997801, Israel; (O.A.); (O.S.-A.); (T.M.); (S.B.-M.); (I.P.W.)
| | - Tsipi Meshel
- The Shmunis School of Biomedicine and Cancer Research, The George S. Wise Faculty of Life Science, Tel Aviv University, Tel Aviv 6997801, Israel; (O.A.); (O.S.-A.); (T.M.); (S.B.-M.); (I.P.W.)
| | - Shlomit Ben-Menachem
- The Shmunis School of Biomedicine and Cancer Research, The George S. Wise Faculty of Life Science, Tel Aviv University, Tel Aviv 6997801, Israel; (O.A.); (O.S.-A.); (T.M.); (S.B.-M.); (I.P.W.)
| | - Metsada Pasmanik-Chor
- Bioinformatics Unit, The George S. Wise Faculty of Life Science, Tel Aviv University, Tel Aviv 6997801, Israel;
| | - Dave S. B. Hoon
- Department of Translational Molecular Medicine, Saint John’s Cancer Institute, Providence Saint John’s Health Center, Santa Monica, CA 90404, USA;
| | - Isaac P. Witz
- The Shmunis School of Biomedicine and Cancer Research, The George S. Wise Faculty of Life Science, Tel Aviv University, Tel Aviv 6997801, Israel; (O.A.); (O.S.-A.); (T.M.); (S.B.-M.); (I.P.W.)
| | - Sivan Izraely
- The Shmunis School of Biomedicine and Cancer Research, The George S. Wise Faculty of Life Science, Tel Aviv University, Tel Aviv 6997801, Israel; (O.A.); (O.S.-A.); (T.M.); (S.B.-M.); (I.P.W.)
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50
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Messiaen J, Jacobs SA, De Smet F. The tumor micro-environment in pediatric glioma: friend or foe? Front Immunol 2023; 14:1227126. [PMID: 37901250 PMCID: PMC10611473 DOI: 10.3389/fimmu.2023.1227126] [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: 05/22/2023] [Accepted: 09/27/2023] [Indexed: 10/31/2023] Open
Abstract
Brain tumors are the leading cause of morbidity and mortality related to cancer in children, where high-grade glioma harbor the worst prognosis. It has become obvious that pediatric glioma differs significantly from their adult counterparts, rendering extrapolations difficult. Curative options for several types of glioma are lacking, albeit ongoing research efforts and clinical trials. As already proven in the past, inter- and intratumoral heterogeneity plays an important role in the resistance to therapy and thus implicates morbidity and mortality for these patients. However, while less studied, the tumor micro-environment (TME) adds another level of heterogeneity. Knowledge gaps exist on how the TME interacts with the tumor cells and how the location of the various cell types in the TME influences tumor growth and the response to treatment. Some studies identified the presence of several (immune) cell types as prognostic factors, but often lack a deeper understanding of the underlying mechanisms, possibly leading to contradictory findings. Although the TME in pediatric glioma is regarded as "cold", several treatment options are emerging, with the TME being the primary target of treatment. Therefore, it is crucial to study the TME of pediatric glioma, so that the interactions between TME, tumoral cells and therapeutics can be better understood before, during and after treatment. In this review, we provide an overview of the available insights into the composition and role of the TME across different types of pediatric glioma. Moreover, where possible, we provide a framework on how a particular TME may influence responses to conventional- and/or immunotherapy.
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Affiliation(s)
- Julie Messiaen
- Department of Pediatrics, University Hospitals Leuven, Leuven, Belgium
- Laboratory for Precision Cancer Medicine, Translational Cell and Tissue Research, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium
| | - Sandra A. Jacobs
- Department of Pediatrics, University Hospitals Leuven, Leuven, Belgium
- Pediatric Oncology, Department of Oncology, KU Leuven, Leuven, Belgium
| | - Frederik De Smet
- Laboratory for Precision Cancer Medicine, Translational Cell and Tissue Research, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium
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