MRNASeq of glioma cells
Ontology highlight
ABSTRACT:
ORGANISM(S): Mus musculus
PROVIDER: GSE160669 | GEO | 2022/07/07
REPOSITORIES: GEO
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Project description:Notch activity in tumor cells shapes interferon-gamma response and immune microenvironment in glioma
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Project description:While immune signaling has emerged as a defining feature of the glioma microenvironment, local selection of responding T cells and their anti-tumor potential as a population are difficult to measure directly in patients. High-throughput sequencing of T cell receptor repertoires (TCRseq) provides a population-wide statistical description of how T cells respond to disease. Here, we define new immunophenotypes in glioma based on TCRseq and RNA-Seq of tumor tissue, non-neoplastic brain tissue, and peripheral blood from patients. Using information theory, we characterize antigen-driven selection in glioma and its relationship with the expression of distinct immune-functional pathways in the tumor microenvironment. Finally, we identify a strong relationship between usage of certain TCR in peripheral blood and the divergence of the infiltrating T cell population from the peripheral repertoire. We anticipate that these immunophenotypes will be foundational to monitoring and predicting response to anti-glioma vaccines and immunotherapy. We characterized the T cell receptor (TCR) repertoires of 11 high-grade glioma patients, three low-grade glioma patients, and thee non-glioma patients by TCRseq of brain-infiltrating T cells and matching peripheral blood. In addition, we obtained gene expression profiles from brain tissue of each patient by RNA-Seq. We additionally measured the TCR repertoires exclusively from peripheral blood of one additional non-glioma patient.
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Project description:While immune signaling has emerged as a defining feature of the glioma microenvironment, local selection of responding T cells and their anti-tumor potential as a population are difficult to measure directly in patients. High-throughput sequencing of T cell receptor repertoires (TCRseq) provides a population-wide statistical description of how T cells respond to disease. Here, we define new immunophenotypes in glioma based on TCRseq and RNA-Seq of tumor tissue, non-neoplastic brain tissue, and peripheral blood from patients. Using information theory, we characterize antigen-driven selection in glioma and its relationship with the expression of distinct immune-functional pathways in the tumor microenvironment. Finally, we identify a strong relationship between usage of certain TCR in peripheral blood and the divergence of the infiltrating T cell population from the peripheral repertoire. We anticipate that these immunophenotypes will be foundational to monitoring and predicting response to anti-glioma vaccines and immunotherapy.
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Project description:Low grade gliomas (LGG) account for about two-thirds of all glioma diagnoses in adolescents and young adults (AYA) and malignant progression of these patients leads to dismal outcomes. Recent studies have shown the importance of the dynamic tumor microenvironment in high-grade gliomas (HGG), yet its role is still poorly understood in low-grade glioma malignant progression. Here, we investigated the heterogeneity of the immune microenvironment using a platelet-derived growth factor (PDGF)-driven RCAS (replication-competent ASLV long terminal repeat with a splice acceptor) glioma model that recapitulates the malignant progression of low to high-grade glioma in humans and also provides a model system to characterize immune cell trafficking and evolution. To illuminate changes in the immune cell landscape during tumor progression, we performed single-cell RNA sequencing on immune cells isolated from animals bearing no tumor (NT), LGG and HGG, with a particular focus on the myeloid cell compartment, which is known to mediate glioma immunosuppression. LGGs demonstrated significantly increased infiltrating T cells, CD4 T cells, CD8 T cells, B cells, and natural killer cells in the tumor microenvironment, whereas HGGs significantly abrogated this infiltration. Our study identified two distinct macrophage clusters in the tumor microenvironment; one cluster appeared to be bone marrow-derived while another was defined by overexpression of Trem2, a known anti-tumor immunity marker in myeloid cell subpopulations. Our data demonstrates that these two distinct macrophage clusters show an immune-activated phenotype (Stat1, Tnf, Cxcl9 and Cxcl10) in LGG which evolves to an immunosuppressive state (Lgals3, Apoc1 and Id2) in HGG that restricts T cell recruitment and activation. We identified CD74 and macrophage migration inhibition factor (MIF) as potential targets for these distinct macrophage populations. Interestingly, these results were mirrored by our analysis of the TCGA dataset, which demonstrated a statistically significant association between CD74 overexpression and decreased overall survival in AYA patients with grade II LGGs. Targeting immunosuppressive myeloid cells and intra-tumoral macrophages within this therapeutic window may ameliorate mechanisms associated with immunosuppression before and during malignant progression.
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