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Lerouge L, Ruch A, Pierson J, Thomas N, Barberi-Heyob M. Non-targeted effects of radiation therapy for glioblastoma. Heliyon 2024; 10:e30813. [PMID: 38778925 PMCID: PMC11109805 DOI: 10.1016/j.heliyon.2024.e30813] [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: 02/07/2024] [Revised: 04/05/2024] [Accepted: 05/06/2024] [Indexed: 05/25/2024] Open
Abstract
Radiotherapy is recommended for the treatment of brain tumors such as glioblastoma (GBM) and brain metastases. Various curative and palliative scenarios suggest improved local-regional control. Although the underlying mechanisms are not yet clear, additional therapeutic effects have been described, including proximity and abscopal reactions at the treatment site. Clinical and preclinical data suggest that the immune system plays an essential role in regulating the non-targeted effects of radiotherapy for GBM. This article reviews current biological mechanisms for regulating the non-targeted effects caused by external and internal radiotherapy, and how they might be applied in a clinical context. Optimization of therapeutic regimens requires assessment of the complexity of the host immune system on the activity of immunosuppressive or immunostimulatory cells, such as glioma-associated macrophages and microglia. This article also discusses recent preclinical models adapted to post-radiotherapy responses. This narrative review explores and discusses the current status of immune responses both locally via the "bystander effect" and remotely via the "abscopal effect". Preclinical and clinical observations demonstrate that unirradiated cells, near or far from the irradiation site, can control the tumor response. Nevertheless, previous studies do not address the problem in its global context, and present gaps regarding the link between the role of the immune system in the control of non-targeted effects for different types of radiotherapy and different fractionation schemes applied to GBM. This narrative synthesis of the scientific literature should help to update and critique available preclinical and medical knowledge. Indirectly, it will help formulate new research projects based on the synthesis and interpretation of results from a non-systematic selection of published studies.
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Affiliation(s)
- Lucie Lerouge
- Department of Biology, Signals and Systems in Cancer and Neuroscience, CRAN, UMR7039, Université de Lorraine, CNRS, 54500 Vandœuvre-lès-Nancy, France
| | - Aurélie Ruch
- Department of Biology, Signals and Systems in Cancer and Neuroscience, CRAN, UMR7039, Université de Lorraine, CNRS, 54500 Vandœuvre-lès-Nancy, France
| | - Julien Pierson
- Department of Biology, Signals and Systems in Cancer and Neuroscience, CRAN, UMR7039, Université de Lorraine, CNRS, 54500 Vandœuvre-lès-Nancy, France
| | - Noémie Thomas
- Department of Biology, Signals and Systems in Cancer and Neuroscience, CRAN, UMR7039, Université de Lorraine, CNRS, 54500 Vandœuvre-lès-Nancy, France
| | - Muriel Barberi-Heyob
- Department of Biology, Signals and Systems in Cancer and Neuroscience, CRAN, UMR7039, Université de Lorraine, CNRS, 54500 Vandœuvre-lès-Nancy, France
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2
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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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Valdes PA, Yu CC(J, Aronson J, Ghosh D, Zhao Y, An B, Bernstock JD, Bhere D, Felicella MM, Viapiano MS, Shah K, Chiocca EA, Boyden ES. Improved immunostaining of nanostructures and cells in human brain specimens through expansion-mediated protein decrowding. Sci Transl Med 2024; 16:eabo0049. [PMID: 38295184 PMCID: PMC10911838 DOI: 10.1126/scitranslmed.abo0049] [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: 01/06/2022] [Accepted: 01/10/2024] [Indexed: 02/02/2024]
Abstract
Proteins are densely packed in cells and tissues, where they form complex nanostructures. Expansion microscopy (ExM) variants have been used to separate proteins from each other in preserved biospecimens, improving antibody access to epitopes. Here, we present an ExM variant, decrowding expansion pathology (dExPath), that can expand proteins away from each other in human brain pathology specimens, including formalin-fixed paraffin-embedded (FFPE) clinical specimens. Immunostaining of dExPath-expanded specimens reveals, with nanoscale precision, previously unobserved cellular structures, as well as more continuous patterns of staining. This enhanced molecular staining results in observation of previously invisible disease marker-positive cell populations in human glioma specimens, with potential implications for tumor aggressiveness. dExPath results in improved fluorescence signals even as it eliminates lipofuscin-associated autofluorescence. Thus, this form of expansion-mediated protein decrowding may, through improved epitope access for antibodies, render immunohistochemistry more powerful in clinical science and, perhaps, diagnosis.
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Affiliation(s)
- Pablo A. Valdes
- Department of Neurosurgery, University of Texas Medical Branch, Galveston, TX, 77555
- Department of Neurosurgery, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA, 02115
- Media Arts and Sciences, MIT, Cambridge, MA, USA, 02115
| | - Chih-Chieh (Jay) Yu
- Media Arts and Sciences, MIT, Cambridge, MA, USA, 02115
- Department of Biological Engineering, MIT, MA, USA, 02139
- McGovern Institute for Brain Research, MIT, Cambridge, MA, USA, 02139
- RIKEN Center for Brain Science, Saitama, Japan, 351-0198
| | - Jenna Aronson
- Media Arts and Sciences, MIT, Cambridge, MA, USA, 02115
- McGovern Institute for Brain Research, MIT, Cambridge, MA, USA, 02139
- RIKEN Center for Brain Science, Saitama, Japan, 351-0198
| | - Debarati Ghosh
- McGovern Institute for Brain Research, MIT, Cambridge, MA, USA, 02139
- Department of Brain and Cognitive Sciences, MIT, Cambridge, MA, USA, 02139
| | - Yongxin Zhao
- Media Arts and Sciences, MIT, Cambridge, MA, USA, 02115
- Department of Biological Sciences, Carnegie Mellon University, Pittsburgh, PA, USA, 15213
| | - Bobae An
- Media Arts and Sciences, MIT, Cambridge, MA, USA, 02115
- McGovern Institute for Brain Research, MIT, Cambridge, MA, USA, 02139
| | - Joshua D. Bernstock
- Department of Neurosurgery, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA, 02115
- Koch Institute, MIT, Cambridge, MA, USA, 02139
| | - Deepak Bhere
- Department of Neurosurgery, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA, 02115
- Department of Pathology, Microbiology and Immunology, School of Medicine Columbia, University of South Carolina, Columbia, SC, USA, 29209
- Center for Stem Cell and Translational Immunotherapy, Harvard Medical School/Brigham and Women’s Hospital, Boston, MA, USA, 02115
| | - Michelle M. Felicella
- Department of Pathology, University of Texas Medical Branch, Galveston, TX, USA, 77555
| | - Mariano S. Viapiano
- Department of Neuroscience and Physiology, SUNY Upstate Medical University, Syracuse, NY, USA, 13210
| | - Khalid Shah
- Department of Neurosurgery, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA, 02115
- Center for Stem Cell and Translational Immunotherapy, Harvard Medical School/Brigham and Women’s Hospital, Boston, MA, USA, 02115
| | - E. Antonio Chiocca
- Department of Neurosurgery, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA, 02115
| | - Edward S. Boyden
- Media Arts and Sciences, MIT, Cambridge, MA, USA, 02115
- Department of Biological Engineering, MIT, MA, USA, 02139
- McGovern Institute for Brain Research, MIT, Cambridge, MA, USA, 02139
- Department of Brain and Cognitive Sciences, MIT, Cambridge, MA, USA, 02139
- Koch Institute, MIT, Cambridge, MA, USA, 02139
- MIT Center for Neurobiological Engineering and K. Lisa Yang Center for Bionics, MIT, Cambridge, MA, USA, 02139
- Howard Hughes Medical Institute, Cambridge, MA, USA, 02139
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4
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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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Tao JC, Yu D, Shao W, Zhou DR, Wang Y, Hou SQ, Deng K, Lin N. Interactions between microglia and glioma in tumor microenvironment. Front Oncol 2023; 13:1236268. [PMID: 37700840 PMCID: PMC10493873 DOI: 10.3389/fonc.2023.1236268] [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: 06/07/2023] [Accepted: 08/14/2023] [Indexed: 09/14/2023] Open
Abstract
Gliomas, the most prevalent primary tumors in the central nervous system, are marked by their immunosuppressive properties and consequent poor patient prognosis. Current evidence emphasizes the pivotal role of the tumor microenvironment in the progression of gliomas, largely attributed to tumor-associated macrophages (brain-resident microglia and bone marrow-derived macrophages) that create a tumor microenvironment conducive to the growth and invasion of tumor cells. Yet, distinguishing between these two cell subgroups remains a challenge. Thus, our review starts by analyzing the heterogeneity between these two cell subsets, then places emphasis on elucidating the complex interactions between microglia and glioma cells. Finally, we conclude with a summary of current attempts at immunotherapy that target microglia. However, given that independent research on microglia is still in its initial stages and has many shortcomings at the present time, we express our related concerns and hope that further research will be carried out to address these issues in the future.
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Affiliation(s)
- Jin-Cheng Tao
- Department of Neurosurgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Dong Yu
- Department of Neurosurgery, The Affiliated Chuzhou Hospital of Anhui Medical University, The First People’s Hospital of Chuzhou, Chuzhou, Anhui, China
| | - Wei Shao
- Department of Neurosurgery, The Affiliated Chuzhou Hospital of Anhui Medical University, The First People’s Hospital of Chuzhou, Chuzhou, Anhui, China
| | - Dong-Rui Zhou
- Department of Neurosurgery, The Affiliated Chuzhou Hospital of Anhui Medical University, The First People’s Hospital of Chuzhou, Chuzhou, Anhui, China
| | - Yu Wang
- Department of Neurosurgery, The Affiliated Chuzhou Hospital of Anhui Medical University, The First People’s Hospital of Chuzhou, Chuzhou, Anhui, China
| | - Shi-Qiang Hou
- Department of Neurosurgery, The Affiliated Chuzhou Hospital of Anhui Medical University, The First People’s Hospital of Chuzhou, Chuzhou, Anhui, China
| | - Ke Deng
- Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ning Lin
- Department of Neurosurgery, The Affiliated Chuzhou Hospital of Anhui Medical University, The First People’s Hospital of Chuzhou, Chuzhou, Anhui, China
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6
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Möckl A, Sevenich L. Take my breath away: TAM-ing anti-cancer immunity in hypoxic niches. Immunity 2023; 56:1704-1706. [PMID: 37557077 DOI: 10.1016/j.immuni.2023.07.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Revised: 07/14/2023] [Accepted: 07/14/2023] [Indexed: 08/11/2023]
Abstract
Hypoxia is a major driver of tumor aggressiveness and therapy resistance in GBM. In this issue of Immunity, Sattiraju et al. functionally link hypoxia with diminished anti-cancer immunity caused by sequestration of immunosuppressive TAMs and CTLs in pseudopalisades in GBM.
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Affiliation(s)
- Aylin Möckl
- Institute for Tumor Biology and Experimental Therapy, Georg-Speyer-Haus, Frankfurt am Main, Germany; Johannes Gutenberg-University Mainz, Mainz, Germany
| | - Lisa Sevenich
- Institute for Tumor Biology and Experimental Therapy, Georg-Speyer-Haus, Frankfurt am Main, Germany; Frankfurt Cancer Institute (FCI), Goethe University Frankfurt, Frankfurt am Main, Germany; German Cancer Consortium (DKTK, Partner Site Frankfurt/Mainz) and German Cancer Research Center (DKFZ), Heidelberg, Germany.
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7
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Jahandideh A, Yarizadeh M, Noei-Khesht Masjedi M, Fatehnejad M, Jahandideh R, Soheili R, Eslami Y, Zokaei M, Ahmadvand A, Ghalamkarpour N, Kumar Pandey R, Nabi Afjadi M, Payandeh Z. Macrophage's role in solid tumors: two edges of a sword. Cancer Cell Int 2023; 23:150. [PMID: 37525217 PMCID: PMC10391843 DOI: 10.1186/s12935-023-02999-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2023] [Accepted: 07/24/2023] [Indexed: 08/02/2023] Open
Abstract
The tumor microenvironment is overwhelmingly dictated by macrophages, intimately affiliated with tumors, exercising pivotal roles in multiple processes, including angiogenesis, extracellular matrix reconfiguration, cellular proliferation, metastasis, and immunosuppression. They further exhibit resilience to chemotherapy and immunotherapy via meticulous checkpoint blockades. When appropriately stimulated, macrophages can morph into a potent bidirectional component of the immune system, engulfing malignant cells and annihilating them with cytotoxic substances, thus rendering them intriguing candidates for therapeutic targets. As myelomonocytic cells relentlessly amass within tumor tissues, macrophages rise as prime contenders for cell therapy upon the development of chimeric antigen receptor effector cells. Given the significant incidence of macrophage infiltration correlated with an unfavorable prognosis and heightened resistance to chemotherapy in solid tumors, we delve into the intricate role of macrophages in cancer propagation and their promising potential in confronting four formidable cancer variants-namely, melanoma, colon, glioma, and breast cancers.
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Affiliation(s)
- Arian Jahandideh
- Student Research Committee, Mazandaran University of Medical Sciences, Sari, Iran
- Usern Office, Mazandaran University of Medical Sciences, Sari, Iran
| | - Mahsa Yarizadeh
- Islamic Azad University, Tehran Medical Branch, Tehran, Iran
| | - Maryam Noei-Khesht Masjedi
- Department of Medical Biotechnology, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Mina Fatehnejad
- Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Romina Jahandideh
- Student Research Committee, Mazandaran University of Medical Sciences, Sari, Iran
| | - Roben Soheili
- Department of Microbiology, Faculty of Advanced Science and Technology, Tehran Medical Science, Islamic Azad University, Tehran, Iran
| | - Yeganeh Eslami
- Faculty of Medicine, Mazandaran University of Medical Sciences, Sari, Iran
| | - Maryam Zokaei
- Department of Food Science and Technology, Faculty of Nutrition Science, Food Science and Technology/National Nutrition and Food Technology Research Institute, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Ardavan Ahmadvand
- Faculty of Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Nogol Ghalamkarpour
- Department of Clinical Laboratory Sciences, School of Allied Medicine, Student Research Committee, Lorestan University of Medical Sciences, Khorramabad, Iran
| | - Rajan Kumar Pandey
- Department Medical Biochemistry and Biophysics, Division Medical Inflammation Research, Karolinska Institute, Stockholm, Sweden
| | - Mohsen Nabi Afjadi
- Department of Biochemistry, Faculty of Biological Sciences, Tarbiat Modares University, Tehran, Iran.
| | - Zahra Payandeh
- Department Medical Biochemistry and Biophysics, Division Medical Inflammation Research, Karolinska Institute, Stockholm, Sweden.
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8
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Noorani I, Sidlauskas K, Pellow S, Savage R, Norman JL, Chatelet DS, Fabian M, Grundy P, Ching J, Nicoll JAR, Boche D. Clinical impact of anti-inflammatory microglia and macrophage phenotypes at glioblastoma margins. Brain Commun 2023; 5:fcad176. [PMID: 37324244 PMCID: PMC10265726 DOI: 10.1093/braincomms/fcad176] [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: 03/23/2023] [Revised: 04/19/2023] [Accepted: 06/01/2023] [Indexed: 06/17/2023] Open
Abstract
Glioblastoma is a devastating brain cancer for which effective treatments are required. Tumour-associated microglia and macrophages promote glioblastoma growth in an immune-suppressed microenvironment. Most recurrences occur at the invasive margin of the surrounding brain, yet the relationships between microglia/macrophage phenotypes, T cells and programmed death-ligand 1 (an immune checkpoint) across human glioblastoma regions are understudied. In this study, we performed a quantitative immunohistochemical analysis of 15 markers of microglia/macrophage phenotypes (including anti-inflammatory markers triggering receptor expressed on myeloid cells 2 and CD163, and the low-affinity-activating receptor CD32a), T cells, natural killer cells and programmed death-ligand 1, in 59 human IDH1-wild-type glioblastoma multi-regional samples (n = 177; 1 sample at tumour core, 2 samples at the margins: the infiltrating zone and leading edge). Assessment was made for the prognostic value of markers; the results were validated in an independent cohort. Microglia/macrophage motility and activation (Iba1, CD68), programmed death-ligand 1 and CD4+ T cells were reduced, and homeostatic microglia (P2RY12) were increased in the invasive margins compared with the tumour core. There were significant positive correlations between microglia/macrophage markers CD68 (phagocytic)/triggering receptor expressed on myeloid cells 2 (anti-inflammatory) and CD8+ T cells in the invasive margins but not in the tumour core (P < 0.01). Programmed death-ligand 1 expression was associated with microglia/macrophage markers (including anti-inflammatory) CD68, CD163, CD32a and triggering receptor expressed on myeloid cells 2, only in the leading edge of glioblastomas (P < 0.01). Similarly, there was a positive correlation between programmed death-ligand 1 expression and CD8+ T-cell infiltration in the leading edge (P < 0.001). There was no relationship between CD64 (a receptor for autoreactive T-cell responses) and CD8+/CD4+ T cells, or between the microglia/macrophage antigen presentation marker HLA-DR and microglial motility (Iba1) in the tumour margins. Natural killer cell infiltration (CD335+) correlated with CD8+ T cells and with CD68/CD163/triggering receptor expressed on myeloid cells 2 anti-inflammatory microglia/macrophages at the leading edge. In an independent large glioblastoma cohort with transcriptomic data, positive correlations between anti-inflammatory microglia/macrophage markers (triggering receptor expressed on myeloid cells 2, CD163 and CD32a) and CD4+/CD8+/programmed death-ligand 1 RNA expression were validated (P < 0.001). Finally, multivariate analysis showed that high triggering receptor expressed on myeloid cells 2, programmed death-ligand 1 and CD32a expression at the leading edge were significantly associated with poorer overall patient survival (hazard ratio = 2.05, 3.42 and 2.11, respectively), independent of clinical variables. In conclusion, anti-inflammatory microglia/macrophages, CD8+ T cells and programmed death-ligand 1 are correlated in the invasive margins of glioblastoma, consistent with immune-suppressive interactions. High triggering receptor expressed on myeloid cells 2, programmed death-ligand 1 and CD32a expression at the human glioblastoma leading edge are predictors of poorer overall survival. Given substantial interest in targeting microglia/macrophages, together with immune checkpoint inhibitors in cancer, these data have major clinical implications.
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Affiliation(s)
- Imran Noorani
- Department of Neuromuscular Diseases, The Francis Crick Institute and University College London, London NW1 1AT, UK
- Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, London SO16 6AQ, UK
| | - Kastytis Sidlauskas
- Clinical Neurosciences, Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
- Centre for Tumour Biology, Barts Cancer Institute, Queen Mary University of London, London, UK
| | - Sean Pellow
- Clinical Neurosciences, Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Reece Savage
- Clinical Neurosciences, Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Jeannette L Norman
- Histochemistry Research Unit, Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
| | - David S Chatelet
- Biomedical Imaging Unit, Southampton General Hospital, University of Southampton, Southampton, UK
| | - Mark Fabian
- Department of Cellular Pathology, University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Paul Grundy
- Department of Neurosurgery, Wessex Neurological Centre, University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Jeng Ching
- Department of Neurosurgery, Wessex Neurological Centre, University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - James A R Nicoll
- Clinical Neurosciences, Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
- Department of Cellular Pathology, University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Delphine Boche
- Clinical Neurosciences, Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
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9
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Microglia and Brain Macrophages as Drivers of Glioma Progression. Int J Mol Sci 2022; 23:ijms232415612. [PMID: 36555253 PMCID: PMC9779147 DOI: 10.3390/ijms232415612] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Revised: 12/05/2022] [Accepted: 12/06/2022] [Indexed: 12/14/2022] Open
Abstract
Evidence is accumulating that the tumour microenvironment (TME) has a key role in the progression of gliomas. Non-neoplastic cells in addition to the tumour cells are therefore finding increasing attention. Microglia and other glioma-associated macrophages are at the centre of this interest especially in the context of therapeutic considerations. New ideas have emerged regarding the role of microglia and, more recently, blood-derived brain macrophages in glioblastoma (GBM) progression. We are now beginning to understand the mechanisms that allow malignant glioma cells to weaken microglia and brain macrophage defence mechanisms. Surface molecules and cytokines have a prominent role in microglia/macrophage-glioma cell interactions, and we discuss them in detail. The involvement of exosomes and microRNAs forms another focus of this review. In addition, certain microglia and glioma cell pathways deserve special attention. These "synergistic" (we suggest calling them "Janus") pathways are active in both glioma cells and microglia/macrophages where they act in concert supporting malignant glioma progression. Examples include CCN4 (WISP1)/Integrin α6β1/Akt and CHI3L1/PI3K/Akt/mTOR. They represent attractive therapeutic targets.
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10
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Park JH, Lee HK. Current Understanding of Hypoxia in Glioblastoma Multiforme and Its Response to Immunotherapy. Cancers (Basel) 2022; 14:cancers14051176. [PMID: 35267480 PMCID: PMC8909860 DOI: 10.3390/cancers14051176] [Citation(s) in RCA: 33] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Revised: 02/20/2022] [Accepted: 02/23/2022] [Indexed: 02/06/2023] Open
Abstract
Simple Summary Glioblastoma multiforme (GBM) is the most aggressive tumor type in the central nervous system. Hypoxia, defined as a lack of sufficient oxygen in tissues, is the most detrimental factor for the survival of GBM patients, promoting drug resistance, and invasion and inhibition of immune responses. Traditionally, tumor hypoxia has been studied from a narrow viewpoint, excluding the immune system and focusing primarily on the effect of hypoxia on blood vessels and tumor cells. More recently, however, evidence highlighting the important role of immunosurveillance has been uncovered for multiple tumors, including GBM. Thus, connecting the knowledge gained from traditional hypoxia studies with findings from recent immunological studies is urgently needed to better understand the role of hypoxia in cancer. Abstract Hypoxia is a hallmark of glioblastoma multiforme (GBM), the most aggressive cancer of the central nervous system, and is associated with multiple aspects of tumor pathogenesis. For example, hypoxia induces resistance to conventional cancer therapies and inhibits antitumor immune responses. Thus, targeting hypoxia is an attractive strategy for GBM therapy. However, traditional studies on hypoxia have largely excluded the immune system. Recently, the critical role of the immune system in the defense against multiple tumors has become apparent, leading to the development of effective immunotherapies targeting numerous cancer types. Critically, however, GBM is classified as a “cold tumor” due to poor immune responses. Thus, to improve GBM responsiveness against immunotherapies, an improved understanding of both immune function in GBM and the role of hypoxia in mediating immune responses within the GBM microenvironment is needed. In this review, we discuss the role of hypoxia in GBM from a clinical, pathological, and immunological perspective.
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11
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Glioblastoma Microenvironment and Cellular Interactions. Cancers (Basel) 2022; 14:cancers14041092. [PMID: 35205842 PMCID: PMC8870579 DOI: 10.3390/cancers14041092] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2022] [Revised: 01/31/2022] [Accepted: 02/16/2022] [Indexed: 12/11/2022] Open
Abstract
Simple Summary This paper summarizes the crosstalk between tumor/non-tumor cells and other elements of the glioblastoma (GB) microenvironment. In tumor pathology, glial cells result in the highest number of cancers, and GB is considered the most lethal tumor of the central nervous system (CNS). The tumor microenvironment (TME) is a complex peritumoral hallo composed of tumor cells and several non-tumor cells (e.g., nervous cells, stem cells, fibroblasts, vascular and immune cells), which might be a key factor for the ineffective treatment since the microenvironment modulates the biologic status of the tumor with the increase in its evasion capacity. A deeper understanding of cell–cell interactions in the TME and with the tumor cells could be the basis for a more efficient therapy. Abstract The central nervous system (CNS) represents a complex network of different cells, such as neurons, glial cells, and blood vessels. In tumor pathology, glial cells result in the highest number of cancers, and glioblastoma (GB) is considered the most lethal tumor in this region. The development of GB leads to the infiltration of healthy tissue through the interaction between all the elements of the brain network. This results in a GB microenvironment, a complex peritumoral hallo composed of tumor cells and several non-tumor cells (e.g., nervous cells, stem cells, fibroblasts, vascular and immune cells), which might be the principal factor for the ineffective treatment due to the fact that the microenvironment modulates the biologic status of the tumor with the increase in its evasion capacity. Crosstalk between glioma cells and the brain microenvironment finally inhibits the beneficial action of molecular pathways, favoring the development and invasion of the tumor and its increasing resistance to treatment. A deeper understanding of cell–cell interactions in the tumor microenvironment (TME) and with the tumor cells could be the basis for a more efficient therapy.
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12
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Ma J, Chen CC, Li M. Macrophages/Microglia in the Glioblastoma Tumor Microenvironment. Int J Mol Sci 2021; 22:ijms22115775. [PMID: 34071306 PMCID: PMC8198046 DOI: 10.3390/ijms22115775] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2021] [Revised: 05/22/2021] [Accepted: 05/26/2021] [Indexed: 12/23/2022] Open
Abstract
The complex interaction between glioblastoma and its microenvironment has been recognized for decades. Among various immune profiles, the major population is tumor-associated macrophage, with microglia as its localized homolog. The present definition of such myeloid cells is based on a series of cell markers. These good sentinel cells experience significant changes, facilitating glioblastoma development and protecting it from therapeutic treatments. Huge, complicated mechanisms are involved during the overall processes. A lot of effort has been dedicated to crack the mysterious codes in macrophage/microglia recruiting, activating, reprogramming, and functioning. We have made our path. With more and more key factors identified, a lot of new therapeutic methods could be explored to break the ominous loop, to enhance tumor sensitivity to treatments, and to improve the prognosis of glioblastoma patients. However, it might be a synergistic system rather than a series of clear, stepwise events. There are still significant challenges before the light of truth can shine onto the field. Here, we summarize recent advances in this field, reviewing the path we have been on and where we are now.
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Affiliation(s)
| | | | - Ming Li
- Correspondence: (C.C.C.); (M.L.)
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13
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Dugandžija T, Drljača J, Bulajić D, Isaković A, Stilinović N, Sekulić S, Čapo I. Hallmarks of tumor-associated microglia response to experimental U87 human glioblastoma xenograft. Tissue Cell 2021; 72:101557. [PMID: 34051646 DOI: 10.1016/j.tice.2021.101557] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Revised: 05/07/2021] [Accepted: 05/11/2021] [Indexed: 12/15/2022]
Abstract
Glioblastoma (GBM) is one of the deadliest primary brain neoplasm, heavily infiltrated with tumor-associated microglia/macrophages (TAM), which has received a great deal of interest. Bearing in mind that the number of peripheral macrophages by the 14th day is negligible, in our study TAM were referred to as microglia. Here we evaluated histopathological characterization of TAM and kinetics of their infiltration in U87 orthotopic GBM, a commonly used model in preclinical research. To mimic different stages of GBM growth, we evaluated three-time points. Our data showed that the highest areal density of TAM was 7 days after GBM inoculation, with ability to proliferate early after initiation of GBM growth. The areal density of TAM within the tumor correlated with GBM growth and proliferation. Moreover, microglia underwent substantial morphological changes upon exposure to GBM cells. A transition from ramified morphology in peritumoral area to ameboid shape with larger soma and shortened, thick branches in the tumor core was observed. Higher areal fraction of blood vessels also correlated with the areal density of TAM. Given these pro-invasive features of microglia, this GBM model represents a good basis for further testing microglia as a target and new strategy to fight with.
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Affiliation(s)
- Tihomir Dugandžija
- Faculty of Medicine, Department of Epidemiology, University of Novi Sad, Hajduk Veljkova 3, Novi Sad, 21000, Serbia; Oncology Institute of Vojvodina, Put doktora Goldmana 4, Sremska Kamenica, 21204, Serbia
| | - Jovana Drljača
- Faculty of Medicine, University of Novi Sad, Hajduk Veljkova 3, Novi Sad, 21000, Serbia; Center for Medical and Pharmaceutical Investigations and Quality Control, Faculty of Medicine, University of Novi Sad, Hajduk Veljkova 3, Novi Sad, 21000, Serbia.
| | - Dragica Bulajić
- Faculty of Medicine, University of Novi Sad, Hajduk Veljkova 3, Novi Sad, 21000, Serbia; Center for Medical and Pharmaceutical Investigations and Quality Control, Faculty of Medicine, University of Novi Sad, Hajduk Veljkova 3, Novi Sad, 21000, Serbia
| | - Aleksandra Isaković
- Institute of Medical and Clinical Biochemistry, School of Medicine, University of Belgrade, Pasterova 2, Belgrade, 11000, Serbia
| | - Nebojša Stilinović
- Faculty of Medicine, Department of Pharmacology, Toxicology and Clinical Pharmacology, University of Novi Sad, Hajduk Veljkova 3, Novi Sad, 21000, Serbia
| | - Slobodan Sekulić
- Faculty of Medicine, University of Novi Sad, Hajduk Veljkova 3, Novi Sad, 21000, Serbia; Department of Neurology, University Hospital, Clinical Center of Vojvodina, Hajduk Veljkova 1-7, Novi Sad, 21000, Serbia
| | - Ivan Čapo
- Center for Medical and Pharmaceutical Investigations and Quality Control, Faculty of Medicine, University of Novi Sad, Hajduk Veljkova 3, Novi Sad, 21000, Serbia; Faculty of Medicine, Department of Histology and Embryology, University of Novi Sad, Hajduk Veljkova 3, Novi Sad, 21000, Serbia
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14
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Virtuoso A, Giovannoni R, De Luca C, Gargano F, Cerasuolo M, Maggio N, Lavitrano M, Papa M. The Glioblastoma Microenvironment: Morphology, Metabolism, and Molecular Signature of Glial Dynamics to Discover Metabolic Rewiring Sequence. Int J Mol Sci 2021; 22:3301. [PMID: 33804873 PMCID: PMC8036663 DOI: 10.3390/ijms22073301] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Revised: 03/17/2021] [Accepted: 03/22/2021] [Indexed: 02/07/2023] Open
Abstract
Different functional states determine glioblastoma (GBM) heterogeneity. Brain cancer cells coexist with the glial cells in a functional syncytium based on a continuous metabolic rewiring. However, standard glioma therapies do not account for the effects of the glial cells within the tumor microenvironment. This may be a possible reason for the lack of improvements in patients with high-grade gliomas therapies. Cell metabolism and bioenergetic fitness depend on the availability of nutrients and interactions in the microenvironment. It is strictly related to the cell location in the tumor mass, proximity to blood vessels, biochemical gradients, and tumor evolution, underlying the influence of the context and the timeline in anti-tumor therapeutic approaches. Besides the cancer metabolic strategies, here we review the modifications found in the GBM-associated glia, focusing on morphological, molecular, and metabolic features. We propose to analyze the GBM metabolic rewiring processes from a systems biology perspective. We aim at defining the crosstalk between GBM and the glial cells as modules. The complex networking may be expressed by metabolic modules corresponding to the GBM growth and spreading phases. Variation in the oxidative phosphorylation (OXPHOS) rate and regulation appears to be the most important part of the metabolic and functional heterogeneity, correlating with glycolysis and response to hypoxia. Integrated metabolic modules along with molecular and morphological features could allow the identification of key factors for controlling the GBM-stroma metabolism in multi-targeted, time-dependent therapies.
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Affiliation(s)
- Assunta Virtuoso
- Laboratory of Neuronal Networks, Department of Mental and Physical Health and Preventive Medicine, University of Campania ‘‘Luigi Vanvitelli”, 80138 Naples, Italy; (A.V.); (F.G.); (M.C.); (M.P.)
- School of Medicine and Surgery, University of Milano-Bicocca, 20900 Monza, Italy;
| | | | - Ciro De Luca
- Laboratory of Neuronal Networks, Department of Mental and Physical Health and Preventive Medicine, University of Campania ‘‘Luigi Vanvitelli”, 80138 Naples, Italy; (A.V.); (F.G.); (M.C.); (M.P.)
| | - Francesca Gargano
- Laboratory of Neuronal Networks, Department of Mental and Physical Health and Preventive Medicine, University of Campania ‘‘Luigi Vanvitelli”, 80138 Naples, Italy; (A.V.); (F.G.); (M.C.); (M.P.)
| | - Michele Cerasuolo
- Laboratory of Neuronal Networks, Department of Mental and Physical Health and Preventive Medicine, University of Campania ‘‘Luigi Vanvitelli”, 80138 Naples, Italy; (A.V.); (F.G.); (M.C.); (M.P.)
| | - Nicola Maggio
- Department of Neurology, Sackler Faculty of Medicine, Sagol School of Neuroscience, Tel Aviv University, Tel Aviv 6997801, Israel;
- Department of Neurology, The Chaim Sheba Medical Center, Ramat Gan 5211401, Israel
| | - Marialuisa Lavitrano
- School of Medicine and Surgery, University of Milano-Bicocca, 20900 Monza, Italy;
| | - Michele Papa
- Laboratory of Neuronal Networks, Department of Mental and Physical Health and Preventive Medicine, University of Campania ‘‘Luigi Vanvitelli”, 80138 Naples, Italy; (A.V.); (F.G.); (M.C.); (M.P.)
- SYSBIO Centre of Systems Biology ISBE-IT, University of Milano-Bicocca, 20126 Milan, Italy
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15
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Cribaro GP, Saavedra-López E, Romarate L, Mitxitorena I, Díaz LR, Casanova PV, Roig-Martínez M, Gallego JM, Perez-Vallés A, Barcia C. Three-dimensional vascular microenvironment landscape in human glioblastoma. Acta Neuropathol Commun 2021; 9:24. [PMID: 33579378 PMCID: PMC7879533 DOI: 10.1186/s40478-020-01115-0] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2020] [Accepted: 12/28/2020] [Indexed: 12/18/2022] Open
Abstract
The cellular complexity of glioblastoma microenvironments is still poorly understood. In-depth, cell-resolution tissue analyses of human material are rare but highly necessary to understand the biology of this deadly tumor. Here we present a unique 3D visualization revealing the cellular composition of human GBM in detail and considering its critical association with the neo-vascular niche. Our images show a complex vascular map of human 3D biopsies with increased vascular heterogeneity and altered spatial relationship with astrocytes or glioma-cell counterparts. High-resolution analysis of the structural layers of the blood brain barrier showed a multilayered fenestration of endothelium and basement membrane. Careful examination of T cell position and migration relative to vascular walls revealed increased infiltration corresponding with tumor proliferation. In addition, the analysis of the myeloid landscape not only showed a volumetric increase in glioma-associated microglia and macrophages relative to GBM proliferation but also revealed distinct phenotypes in tumor nest and stroma. Images and data sets are available on demand as a resource for public access.
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16
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Altieri R, Barbagallo D, Certo F, Broggi G, Ragusa M, Di Pietro C, Caltabiano R, Magro G, Peschillo S, Purrello M, Barbagallo G. Peritumoral Microenvironment in High-Grade Gliomas: From FLAIRectomy to Microglia-Glioma Cross-Talk. Brain Sci 2021; 11:200. [PMID: 33561993 PMCID: PMC7915863 DOI: 10.3390/brainsci11020200] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2020] [Revised: 01/28/2021] [Accepted: 02/03/2021] [Indexed: 12/17/2022] Open
Abstract
Cellular composition and molecular signatures of the glioma core compared with infiltrative margins are different, and it is well known that the tumor edge is enriched in microglia. In this review of the literature, we summarize the role of the peritumoral area in high-grade gliomas (HGGs) from surgical and biological points of view. There is evidence on the dual role of microglia in HGGs-a scavenger-tumoricidal role when microglia are activated in an M1 phenotype and a role favoring tumor growth and infiltration/migration when microglia are activated in an M2 phenotype. Microglia polarization is mediated by complex pathways involving cross-talk with glioma cells. In this scenario, extracellular vesicles and their miRNA cargo seem to play a central role. The switch to a specific phenotype correlates with prognosis and the pathological assessment of a specific microglial setting can predict a patient's outcome. Some authors have designed an engineered microglial cell as a biologically active vehicle for the delivery of intraoperative near-infrared fluorescent dye with the aim of helping surgeons detect peritumoral infiltrated areas during resection. Furthermore, the pharmacological modulation of microglia-glioma cross-talk paves the way to more effective therapies.
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Affiliation(s)
- Roberto Altieri
- Department of Neurological Surgery, Policlinico “G. Rodolico-S. Marco” University Hospital, 95121 Catania, Italy; (F.C.); (S.P.); (G.B.)
- Interdisciplinary Research Center on Brain Tumors Diagnosis and Treatment, University of Catania, 95123 Catania, Italy; (D.B.); (M.R.); (M.P.)
| | - Davide Barbagallo
- Interdisciplinary Research Center on Brain Tumors Diagnosis and Treatment, University of Catania, 95123 Catania, Italy; (D.B.); (M.R.); (M.P.)
- Department of Biomedical and Biotechnological Sciences—Section of Biology and Genetics Giovanni Sichel, University of Catania, 95123 Catania, Italy;
| | - Francesco Certo
- Department of Neurological Surgery, Policlinico “G. Rodolico-S. Marco” University Hospital, 95121 Catania, Italy; (F.C.); (S.P.); (G.B.)
- Interdisciplinary Research Center on Brain Tumors Diagnosis and Treatment, University of Catania, 95123 Catania, Italy; (D.B.); (M.R.); (M.P.)
| | - Giuseppe Broggi
- Department of Medical and Surgical Sciences and Advanced Technologies “G. F. Ingrassia”, Anatomic Pathology, University of Catania, 95123 Catania, Italy; (G.B.); (R.C.); (G.M.)
| | - Marco Ragusa
- Interdisciplinary Research Center on Brain Tumors Diagnosis and Treatment, University of Catania, 95123 Catania, Italy; (D.B.); (M.R.); (M.P.)
- Department of Biomedical and Biotechnological Sciences—Section of Biology and Genetics Giovanni Sichel, University of Catania, 95123 Catania, Italy;
- Oasi Research Institute—IRCCS, 94018 Troina, Italy
| | - Cinzia Di Pietro
- Department of Biomedical and Biotechnological Sciences—Section of Biology and Genetics Giovanni Sichel, University of Catania, 95123 Catania, Italy;
| | - Rosario Caltabiano
- Department of Medical and Surgical Sciences and Advanced Technologies “G. F. Ingrassia”, Anatomic Pathology, University of Catania, 95123 Catania, Italy; (G.B.); (R.C.); (G.M.)
| | - Gaetano Magro
- Department of Medical and Surgical Sciences and Advanced Technologies “G. F. Ingrassia”, Anatomic Pathology, University of Catania, 95123 Catania, Italy; (G.B.); (R.C.); (G.M.)
| | - Simone Peschillo
- Department of Neurological Surgery, Policlinico “G. Rodolico-S. Marco” University Hospital, 95121 Catania, Italy; (F.C.); (S.P.); (G.B.)
| | - Michele Purrello
- Interdisciplinary Research Center on Brain Tumors Diagnosis and Treatment, University of Catania, 95123 Catania, Italy; (D.B.); (M.R.); (M.P.)
- Department of Biomedical and Biotechnological Sciences—Section of Biology and Genetics Giovanni Sichel, University of Catania, 95123 Catania, Italy;
| | - Giuseppe Barbagallo
- Department of Neurological Surgery, Policlinico “G. Rodolico-S. Marco” University Hospital, 95121 Catania, Italy; (F.C.); (S.P.); (G.B.)
- Interdisciplinary Research Center on Brain Tumors Diagnosis and Treatment, University of Catania, 95123 Catania, Italy; (D.B.); (M.R.); (M.P.)
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17
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Toedebusch R, Grodzki AC, Dickinson PJ, Woolard K, Vinson N, Sturges B, Snyder J, Li CF, Nagasaka O, Consales B, Vernau K, Knipe M, Murthy V, Lein PJ, Toedebusch CM. Glioma-associated microglia/macrophages augment tumorigenicity in canine astrocytoma, a naturally occurring model of human glioma. Neurooncol Adv 2021; 3:vdab062. [PMID: 34131649 PMCID: PMC8193901 DOI: 10.1093/noajnl/vdab062] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/02/2022] Open
Abstract
BACKGROUND Glioma-associated microglia/macrophages (GAMs) markedly influence glioma progression. Under the influence of transforming growth factor beta (TGFB), GAMs are polarized toward a tumor-supportive phenotype. However, neither therapeutic targeting of GAM recruitment nor TGFB signaling demonstrated efficacy in glioma patients despite efficacy in preclinical models, underscoring the need for a comprehensive understanding of the TGFB/GAM axis. Spontaneously occurring canine gliomas share many features with human glioma and provide a complementary translational animal model for further study. Given the importance of GAM and TGFB in human glioma, the aims of this study were to further define the GAM-associated molecular profile and the relevance of TGFB signaling in canine glioma that may serve as the basis for future translational studies. METHODS GAM morphometry, levels of GAM-associated molecules, and the canonical TGFB signaling axis were compared in archived samples of canine astrocytomas versus normal canine brain. Furthermore, the effect of TGFB on the malignant phenotype of canine astrocytoma cells was evaluated. RESULTS GAMs diffusely infiltrated canine astrocytomas. GAM density was increased in high-grade tumors that correlated with a pro-tumorigenic molecular signature and upregulation of the canonical TGFB signaling axis. Moreover, TGFB1 enhanced the migration of canine astrocytoma cells in vitro. CONCLUSIONS Canine astrocytomas share a similar GAM-associated immune landscape with human adult glioma. Our data also support a contributing role for TGFB1 signaling in the malignant phenotype of canine astrocytoma. These data further support naturally occurring canine glioma as a valid model for the investigation of GAM-associated therapeutic strategies for human malignant glioma.
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Affiliation(s)
- Ryan Toedebusch
- Department of Surgical and Radiological Sciences, School of Veterinary Medicine, University of California, Davis, Davis, California, USA
| | - Ana Cristina Grodzki
- Department of Molecular Biosciences, School of Veterinary Medicine, University of California, Davis, Davis, California, USA
| | - Peter J Dickinson
- Department of Surgical and Radiological Sciences, School of Veterinary Medicine, University of California, Davis, Davis, California, USA
| | - Kevin Woolard
- Department of Pathology, Microbiology, and Immunology, School of Veterinary Medicine, University of California, Davis, Davis, California, USA
| | - Nicole Vinson
- Department of Surgical and Radiological Sciences, School of Veterinary Medicine, University of California, Davis, Davis, California, USA
| | - Beverly Sturges
- Department of Surgical and Radiological Sciences, School of Veterinary Medicine, University of California, Davis, Davis, California, USA
| | - John Snyder
- Riemann Computing, LLC, St. Louis, Missouri, USA
| | - Chai-Fei Li
- Department of Surgical and Radiological Sciences, School of Veterinary Medicine, University of California, Davis, Davis, California, USA
| | - Ori Nagasaka
- Department of Surgical and Radiological Sciences, School of Veterinary Medicine, University of California, Davis, Davis, California, USA
| | - Blaire Consales
- Department of Surgical and Radiological Sciences, School of Veterinary Medicine, University of California, Davis, Davis, California, USA
| | - Karen Vernau
- Department of Surgical and Radiological Sciences, School of Veterinary Medicine, University of California, Davis, Davis, California, USA
| | - Marguerite Knipe
- Department of Surgical and Radiological Sciences, School of Veterinary Medicine, University of California, Davis, Davis, California, USA
| | - Vishal Murthy
- Department of Surgical and Radiological Sciences, School of Veterinary Medicine, University of California, Davis, Davis, California, USA
| | - Pamela J Lein
- Department of Molecular Biosciences, School of Veterinary Medicine, University of California, Davis, Davis, California, USA
| | - Christine M Toedebusch
- Department of Surgical and Radiological Sciences, School of Veterinary Medicine, University of California, Davis, Davis, California, USA
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18
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Abstract
Tumor progression is profoundly influenced by interactions between cancer cells and the tumor microenvironment (TME). Among the various non-neoplastic cells present, immune cells are critical players in tumor development and have thus emerged as attractive therapeutic targets. Malignant gliomas exhibit a unique immune landscape characterized by high numbers of tumor-associated macrophages (TAMs). Despite encouraging preclinical results, targeting TAMs has yielded limited clinical success as a strategy for slowing glioma progression. The slow translational progress of TAM-targeted therapies is due in part to an incomplete understanding of the factors driving TAM recruitment, differentiation, and polarization. Furthermore, the functions that TAMs adopt in gliomas remain largely unknown. Progress in addressing these gaps requires sophisticated culture platforms capable of capturing key cellular and physical TME features. This review summarizes the current understanding of TAMs in gliomas and highlights the utility of in vitro TME models for investigating TAM-cancer cell cross talk.
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Affiliation(s)
- Erin A. Akins
- University of California, Berkeley – University of California, San Francisco Graduate Program in Bioengineering, Berkeley, CA 94720, USA
- Department of Bioengineering, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Manish K. Aghi
- Department of Neurosurgery, University of California San Francisco, San Francisco, CA 94143, USA
| | - Sanjay Kumar
- University of California, Berkeley – University of California, San Francisco Graduate Program in Bioengineering, Berkeley, CA 94720, USA
- Department of Bioengineering, University of California, Berkeley, Berkeley, CA 94720, USA
- Department of Chemical and Biomolecular Engineering, University of California, Berkeley, Berkeley, CA 94720, USA
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