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Spatially Resolved Microglia/Macrophages in Recurrent Glioblastomas Overexpress Fatty Acid Metabolism and Phagocytic
Akshitkumar M Mistry1,2, Jonah Daneshmand3, SeonYeong Jamie Seo1
1Department of Neurosurgery, University of Louisville, Louisville, KY 40202, USA.
Background:
Glioblastoma (GBM) tumors are rich in tumor-associated microglia/macrophages. Changes associated with treatment in this specific cell population are poorly understood. Therefore, we studied changes in gene expression of tumor-associated microglia/macrophages (Iba1+) cells in de novo versus recurrent GBMs.
Methods:
NanoString GeoMx® Digital Spatial Transcriptomic Profiling of microglia/macrophages (Iba1+) and glial cells (Gfap+) cells identified on tumor sections was performed on paired de novo and recurrent samples obtained from three IDH-wildtype GBM patients. The impact of differentially expressed genes on patient survival was evaluated using publicly available data.
Results:
Unsupervised analyses of the NanoString GeoMx® Digital Spatial Profiling data revealed clustering based on the transcriptomic data from Iba1+ and Gfap+ cells. As expected, conventional differential gene expression and enrichment analyses revealed upregulation of immune-function-related genes in Iba1+ cells compared to Gfap+ cells. A focused differential gene expression analysis revealed upregulation of phagocytosis and fatty acid/lipid metabolism genes in Iba1+ cells in recurrent GBM samples compared to de novo GBM samples. Importantly, of these genes, the lipid metabolism gene PLD3 consistently correlated with survival in multiple different publicly available datasets.
Conclusion:
Tumor-associated microglia/macrophages in recurrent GBM overexpress genes involved in fatty acid/lipid metabolism. Further investigation is needed to fully delineate the role of PLD phospholipases in GBM progression.
Insights
Tumor-associated microglia/macrophages in recurrent glioblastoma (GBM) show increased fatty acid and lipid metabolism gene expression. The lipid metabolism gene PLD3 correlates with survival in GBM patients.
Area of Science:
- Neuro-oncology
- Cancer immunology
- Genomics
Background:
- Glioblastoma (GBM) tumors feature abundant tumor-associated microglia/macrophages.
- Understanding treatment-induced changes in these cells is crucial.
- This study investigates gene expression shifts in microglia/macrophages (Iba1+) between de novo and recurrent GBMs.
Purpose of the Study:
- To analyze gene expression changes in microglia/macrophages (Iba1+) and glial cells (Gfap+) in de novo versus recurrent GBM.
- To identify key genes and pathways altered during GBM recurrence.
- To assess the correlation of differentially expressed genes with patient survival.
Main Methods:
- NanoString GeoMx® Digital Spatial Transcriptomic Profiling was employed on paired de novo and recurrent GBM samples.
- Microglia/macrophages (Iba1+) and glial cells (Gfap+) were analyzed.
- Publicly available datasets were used to evaluate the impact of gene expression on patient survival.
Main Results:
- Transcriptomic data revealed distinct clustering of Iba1+ and Gfap+ cells.
- Immune-function genes were upregulated in Iba1+ cells compared to Gfap+ cells.
- Recurrent GBM samples showed upregulation of phagocytosis and fatty acid/lipid metabolism genes in Iba1+ cells, with PLD3 strongly correlating with survival.
Conclusions:
- Recurrent GBM microglia/macrophages exhibit overexpression of genes related to fatty acid/lipid metabolism.
- The gene PLD3 is a potential prognostic marker in GBM.
- Further research into PLD phospholipases' role in GBM progression is warranted.
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