ArticleFrontiers in immunology2022
Differences of macrophages in the tumor microenvironment as an underlying key factor in glioma patients.
Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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11 citing papers in PubMed, 15 citations in OpenAlex.
- The subtype identification of colorectal cancer and construction of the risk model based on cholesterol synthesis-related genes to predict prognosis and guide immunotherapy.International journal of colorectal disease · 2026Article
- IL-1βJournal of neuroinflammation · 2025Article
- Review
- Integrated Analysis to Reveal Heterogeneity of Tumor-Associated Neutrophils in Glioma.Cancer medicine · 2025Article
- Leveraging Single-Cell Multi-Omics to Decode Tumor Microenvironment Diversity and Therapeutic Resistance.Pharmaceuticals (Basel, Switzerland) · 2025Review
- The prognostic and immune significance of PLBD1 in pan-cancer and its roles in proliferation and invasion of glioma.Journal of Cancer · 2024Article
- TCHH as a Novel Prognostic Biomarker for Patients with Gastric Cancer by Bioinformatics Analysis.Clinical and experimental gastroenterology · 2024Article
- Molecular and immunological features of TREM1 and its emergence as a prognostic indicator in glioma.Frontiers in immunology · 2024Article
- Article
- Abnormalities of Sphingolipids Metabolic Pathways in the Pathogenesis of Psoriasis.Metabolites · 2023Review
- Pleiotropic Roles of a KEAP1-Associated Deubiquitinase, OTUD1.Antioxidants (Basel, Switzerland) · 2023Review
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Authors and funding
6 authors at 3 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
Background: Macrophages, the major immune cells in glioma microenvironment, are closely related to tumor prognosis. Further studies are needed to investigate macrophages, which will be helpful to fully understand the role of it and early achieve clinical translation. Methods: A total of 1334 glioma cases were enrolled in this study from 3 databases. In our works, the single cell cohorts from GSE89567, GSE84465, and the Chinese Glioma Genome Atlas (CGGA) datasets were used to analyze the key genes of macrophage. The bulk sequencing data from the Cancer Genome Atlas (TCGA) and CGGA datasets were respectively divided into the training set and validation set to test prognostic value of the key genes from single cell analysis. Results: Quantitative and functional differences significantly emerge in macrophage clusters between LGG and GBM. Firstly, we used the Seurat R package to identify 281 genes differentially expressed genes in macrophage clusters between LGG and GBM. Furthermore, based on these genes, we developed a predictive risk model to predict prognosis and reflect the immune microenvironment in glioma. The risk score calculation formula was yielded as follows: Risk score = (0.11 × EXP Conclusion: This study further confirms that the proportion of macrophage infiltration is not only significantly different, but the function of them is also different. The signature, identified from the differentially expressed macrophage-related genes impacts poor prognosis and short overall survival and may act as therapeutic targets in the future.
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