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Macrophage-mediated myelin recycling fuels brain cancer malignancy (VISIUM)

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NIAID Data Ecosystem2026-05-02 收录
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https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE266147
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Tumors growing in metabolically-challenged environments, such as glioblastoma in the brain, are particularly reliant on cross-talk with their tumor microenvironment (TME) to satisfy their high energetic needs. However, the intricacies of this metabolic interplay and the consequences on immune cell subset diversity and function remain largely unexplored. We interrogated the heterogeneity of the glioblastoma TME using single cell multi-omics analyses in preclinical glioblastoma mouse models and patient samples, and identified metabolically-rewired tumor-associated macrophage (TAM) subpopulations that fuel glioblastoma malignancy. These TAM subsets, termed lipid-laden macrophages (LLMs) to reflect their increased lipid metabolism activity and cholesterol storage, are epigenetically rewired, display immunosuppressive features and are enriched in the aggressive mesenchymal glioblastoma subtype. In response to TME-derived cues triggering liver-X-receptor (LXR) expression, macrophages increase engulfment of cholesterol-rich myelin debris and acquire an LLM phenotype. Subsequently, LLMs directly transfer myelin-derived lipids to cancer cells in an LXR/Abca1-dependent manner, thereby fueling the heightened metabolic demands of mesenchymal glioblastoma. Furthermore, LLM content predicts clinical outcomes and immune checkpoint blockade response in glioblastoma patients and other cancer types. Our work provides an in-depth understanding of the immune-metabolic interplay during glioblastoma progression in a subtype- and microanatomical niche-dependent manner, thereby laying a framework for the discovery of targetable metabolic vulnerabilities in glioblastoma. To reveal the reciprocal interactions between macrophages and tumor cells that fuel glioblastoma malignancy, we investigated the dynamic contexture of the glioblastoma TME at the single cell and spatial transcriptomic levels, in two genetically-engineered mouse models (GEMMs) that recapitulate key characteristics of human gliomagenesis and therapeutic response. Both GEMMs involve enforced expression of platelet-derived growth factor-b in Nestin-positive progenitor cells, either in an Ink4a/ArfKO background (herein termed PDG-Ink4a), or in combination with a short-hairpin-mediated knockdown of p53 in tumor cells (herein termed PDG-p53). Orthogonally, publicly available transcriptional datasets of glioblastoma patients enabled the validation of our murine models’ clinical relevance. We explored the dynamic heterogeneity of macrophage subsets in relation to their local microenvironment, employing multi-omics approaches and a wide range of functional ex vivo and in vitro assays to unveil novel pro-tumorigenic interactions underlying macrophage and tumor cell co-evolution in the glioblastoma TME.
创建时间:
2024-09-30
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