Mapping the exhausted and tolerized myeloid populations in the glioblastoma tumor microenvironment.

2066 Background: Glioblastoma (GBM) is a highly malignant brain tumor characterized by an immunosuppressive microenvironment and rapid development of therapeutic resistance. In GBM, myeloid cells can comprise 30–50% of the tumor and critically regulate its immune microenvironment. Evidence from aging and CNS diseases suggests that microglia can adopt dysfunctional states of exhaustion and tolerance that extend beyond the M1/M2 paradigm, thus prompting us to investigate whether these phenotypes contribute to immune escape and progression of GBM. Methods: Paired RNA-seq of tumor specimens from newly diagnosed and recurrent GBM patients (n=14) was used to examine aging-related gene expression during treatment and progression. Open-access human glioma single-cell RNA-seq data (GSE182109) were analyzed to characterize exhaustion and tolerance across macrophage subpopulations based on molecular/metabolic signatures. Results: Patient tumor RNA-Seq revealed that the aging-related TREM2-APOE axis is present in recurrent GBM, suggesting accelerated brain aging. Single-cell RNA-seq identified nine myeloid clusters, including four microglial states (homeostatic-, activated-, AP-, and a-microglia) and two macrophage populations (anti-inflammatory and immunosuppressive). We found that AP-microglia showed disease-associated activation, with high CD45/CD11C/TREM2 expression and concurrent upregulation of the exhaustion markers PD-L1 and CD38. Moreover, microglial activation-related signaling in AP-microglia includes increased STAT1/2-IRF9 signaling, which can promote immunosuppression by inducing PD-L1. On the other hand, a-microglia is unique in its high expression of activation-restraining and tolerance markers, such as SPRY/P2RY13, rather than the classic microglial marker TMEM119/P2RY12. Both AP-microglia and a-microglia are shown to lose expression of the inflammatory cytokines TNF-α and IL-1β, consistent with the characteristics of exhausted and tolerized microglia. Unlike resident microglia, the immunosuppressive macrophage cluster exhibits a monocyte-tolerized phenotype, with downregulated FABP4 and increased SOD2, CLEC4E, and SLC2A6. It also shows a similar panel of LPS-induced monocyte exhaustion with TLR4/MyD88/SRC and STAT3/IL-10 upregulation. Conclusions: Our analysis indicates that AP-microglia are exhausted and a-microglia are tolerized in GBM, with shared markers of dysfunction across macrophages linking myeloid impairment to immune suppression and treatment-associated brain aging. These findings implicate myeloid exhaustion in GBM immune escape and identify potential therapeutic targets.

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Publication Details

Journal
Journal of Clinical Oncology
Published
2026-05-27
DOI
https://doi.org/10.1200/jco.2026.44.16_suppl.2066
Primary Topic
Neuroinflammation and Neurodegeneration Mechanisms
Type
article
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article

Mapping the exhausted and tolerized myeloid populations in the glioblastoma tumor microenvironment.

Jian‐Ying Chuang, Yu-Ting Tsai, Jamie Sagastume, Glenn J. Lesser et al.
Journal of Clinical Oncology
Neuroinflammation and Neurodegeneration Mechanisms
article

Mapping the exhausted and tolerized myeloid populations in the glioblastoma tumor microenvironment.

Jian‐Ying Chuang, Yu-Ting Tsai, Jamie Sagastume, Glenn J. Lesser, David Soto-Pantoja, Pin-Yuan Chen, Tsung-I Hsu
article en

Abstract

2066 Background: Glioblastoma (GBM) is a highly malignant brain tumor characterized by an immunosuppressive microenvironment and rapid development of therapeutic resistance. In GBM, myeloid cells can comprise 30–50% of the tumor and critically regulate its immune microenvironment. Evidence from aging and CNS diseases suggests that microglia can adopt dysfunctional states of exhaustion and tolerance that extend beyond the M1/M2 paradigm, thus prompting us to investigate whether these phenotypes contribute to immune escape and progression of GBM. Methods: Paired RNA-seq of tumor specimens from newly diagnosed and recurrent GBM patients (n=14) was used to examine aging-related gene expression during treatment and progression. Open-access human glioma single-cell RNA-seq data (GSE182109) were analyzed to characterize exhaustion and tolerance across macrophage subpopulations based on molecular/metabolic signatures. Results: Patient tumor RNA-Seq revealed that the aging-related TREM2-APOE axis is present in recurrent GBM, suggesting accelerated brain aging. Single-cell RNA-seq identified nine myeloid clusters, including four microglial states (homeostatic-, activated-, AP-, and a-microglia) and two macrophage populations (anti-inflammatory and immunosuppressive). We found that AP-microglia showed disease-associated activation, with high CD45/CD11C/TREM2 expression and concurrent upregulation of the exhaustion markers PD-L1 and CD38. Moreover, microglial activation-related signaling in AP-microglia includes increased STAT1/2-IRF9 signaling, which can promote immunosuppression by inducing PD-L1. On the other hand, a-microglia is unique in its high expression of activation-restraining and tolerance markers, such as SPRY/P2RY13, rather than the classic microglial marker TMEM119/P2RY12. Both AP-microglia and a-microglia are shown to lose expression of the inflammatory cytokines TNF-α and IL-1β, consistent with the characteristics of exhausted and tolerized microglia. Unlike resident microglia, the immunosuppressive macrophage cluster exhibits a monocyte-tolerized phenotype, with downregulated FABP4 and increased SOD2, CLEC4E, and SLC2A6. It also shows a similar panel of LPS-induced monocyte exhaustion with TLR4/MyD88/SRC and STAT3/IL-10 upregulation. Conclusions: Our analysis indicates that AP-microglia are exhausted and a-microglia are tolerized in GBM, with shared markers of dysfunction across macrophages linking myeloid impairment to immune suppression and treatment-associated brain aging. These findings implicate myeloid exhaustion in GBM immune escape and identify potential therapeutic targets.

Journal of Clinical OncologyVol. 44(16_suppl)
Wake Forest University (US), Taipei Medical University (TW)
Good health and well-being
Openalex Percentile: Top 7%
Neuroinflammation and Neurodegeneration Mechanisms
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