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Updated: Aug 21, 2025
In Vitro Assay to Study Tumor-macrophage Interaction
Published on: August 1, 2019
Differences of macrophages in the tumor microenvironment as an underlying key factor in glioma patients
Yangyang Wang1, Yan Liu1, Chengkai Zhang1
1Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
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 × EXPMACC1) + (-0.31 × EXPOTUD1) + (-0.09 × EXPTCHH) + (0.26 × EXPADPRH) + (-0.40× EXPABCG2) + (0.21 × EXPPLBD1) + (0.12 × EXPANG) + (0.29 × EXPQPCT). The risk score was independently related to prognosis. Further, significant differences existed in immunological characteristics between the low- and high-risk score groups. What is more, mutation analysis found different genomic patterns associated with the risk score.
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.
Insights
Macrophages play a key role in glioma prognosis. This study identified macrophage-related genes and developed a predictive model for glioma patients, highlighting their potential as therapeutic targets.
Area of Science:
- Oncology
- Immunology
- Bioinformatics
Background:
- Macrophages are crucial immune cells within the glioma microenvironment, significantly influencing tumor prognosis.
- Understanding macrophage roles in glioma is essential for clinical translation and improved patient outcomes.
Purpose of the Study:
- To investigate the quantitative and functional differences of macrophages in glioma.
- To identify key macrophage-related genes and develop a predictive model for glioma prognosis.
Main Methods:
- Analysis of 1334 glioma cases from TCGA and CGGA databases.
- Utilized single-cell RNA sequencing data (GSE89567, GSE84465) to identify differentially expressed genes in macrophage clusters.
- Developed a prognostic risk model based on key macrophage genes using bulk sequencing data.
Main Results:
- Identified 281 differentially expressed genes in macrophage clusters between low-grade glioma (LGG) and glioblastoma (GBM).
- Developed a risk score model that independently predicts glioma prognosis and reflects the tumor immune microenvironment.
- Observed significant differences in immunological characteristics and genomic patterns between low- and high-risk groups.
Conclusions:
- Confirms distinct proportions and functions of infiltrating macrophages in glioma.
- The identified macrophage gene signature impacts prognosis and overall survival, suggesting potential therapeutic targets.
