Glioblastoma-instructed microglia transition to heterogeneous phenotypic states with phagocytic and dendritic cell-like features in patient tumors and patient-derived orthotopic xenografts
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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| Medienart: |
E-Artikel |
| Erscheinungsjahr: |
2023 |
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| Erschienen: |
2023 |
| Enthalten in: |
Zur Gesamtaufnahme - year:2023 |
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| Enthalten in: |
bioRxiv : the preprint server for biology - (2023) vom: 12. Dez. |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Yabo, Yahaya A [VerfasserIn] |
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| Links: |
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| Themen: |
Glioblastoma |
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| Anmerkungen: |
Date Revised 15.04.2024 published: Electronic UpdateIn: Genome Med. 2024 Apr 2;16(1):51. - PMID 38566128 Citation Status PubMed-not-MEDLINE |
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| doi: |
10.1101/2023.03.05.531162 |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM354508261 |
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| 100 | 1 | |a Yabo, Yahaya A |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Glioblastoma-instructed microglia transition to heterogeneous phenotypic states with phagocytic and dendritic cell-like features in patient tumors and patient-derived orthotopic xenografts |
| 264 | 1 | |c 2023 | |
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| 500 | |a Date Revised 15.04.2024 | ||
| 500 | |a published: Electronic | ||
| 500 | |a UpdateIn: Genome Med. 2024 Apr 2;16(1):51. - PMID 38566128 | ||
| 500 | |a Citation Status PubMed-not-MEDLINE | ||
| 520 | |a 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 | ||
| 520 | |a 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 | ||
| 520 | |a 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 | ||
| 520 | |a 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 | ||
| 650 | 4 | |a Preprint | |
| 650 | 4 | |a Glioblastoma | |
| 650 | 4 | |a Microglia | |
| 650 | 4 | |a Myeloid cells | |
| 650 | 4 | |a Patient-derived orthotopic xenografts | |
| 650 | 4 | |a Single-cell RNA-sequencing | |
| 650 | 4 | |a Tumor microenvironment | |
| 700 | 1 | |a Moreno-Sanchez, Pilar M |e verfasserin |4 aut | |
| 700 | 1 | |a Pires-Afonso, Yolanda |e verfasserin |4 aut | |
| 700 | 1 | |a Kaoma, Tony |e verfasserin |4 aut | |
| 700 | 1 | |a Nosirov, Bakhtiyor |e verfasserin |4 aut | |
| 700 | 1 | |a Scafidi, Andrea |e verfasserin |4 aut | |
| 700 | 1 | |a Ermini, Luca |e verfasserin |4 aut | |
| 700 | 1 | |a Lipsa, Anuja |e verfasserin |4 aut | |
| 700 | 1 | |a Oudin, Anaïs |e verfasserin |4 aut | |
| 700 | 1 | |a Kyriakis, Dimitrios |e verfasserin |4 aut | |
| 700 | 1 | |a Grzyb, Kamil |e verfasserin |4 aut | |
| 700 | 1 | |a Poovathingal, Suresh K |e verfasserin |4 aut | |
| 700 | 1 | |a Poli, Aurélie |e verfasserin |4 aut | |
| 700 | 1 | |a Muller, Arnaud |e verfasserin |4 aut | |
| 700 | 1 | |a Toth, Reka |e verfasserin |4 aut | |
| 700 | 1 | |a Klink, Barbara |e verfasserin |4 aut | |
| 700 | 1 | |a Berchem, Guy |e verfasserin |4 aut | |
| 700 | 1 | |a Berthold, Christophe |e verfasserin |4 aut | |
| 700 | 1 | |a Hertel, Frank |e verfasserin |4 aut | |
| 700 | 1 | |a Mittelbronn, Michel |e verfasserin |4 aut | |
| 700 | 1 | |a Heiland, Dieter H |e verfasserin |4 aut | |
| 700 | 1 | |a Skupin, Alexander |e verfasserin |4 aut | |
| 700 | 1 | |a Nazarov, Petr V |e verfasserin |4 aut | |
| 700 | 1 | |a Niclou, Simone P |e verfasserin |4 aut | |
| 700 | 1 | |a Michelucci, Alessandro |e verfasserin |4 aut | |
| 700 | 1 | |a Golebiewska, Anna |e verfasserin |4 aut | |
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