Macrophage polarization-related gene signature for risk stratification and prognosis of survival in gliomas

J Cell Mol Med. 2024 Oct;28(20):e70000. doi: 10.1111/jcmm.70000.

Abstract

Macrophage polarization plays an essential role in tumour immune cell infiltration and tumour growth. In this study, we selected a series of genes distinguishing between M1 and M2 macrophages and explored their prognostic value in gliomas. A total of 170 genes were included in our study. The CGGA database was used as the training cohort and the TCGA database as the validation cohort. The biological processes and functions were identified by GO and KEGG analysis. Kaplan-Meier analysis was used to compare survival differences between groups. Importantly, we built a risk score model using Cox regression analysis based on the CGGA and verified it in the TCGA database and our sequencing data. Patients with gliomas in the high-risk group were associated with high pathologic grade, IDH WT status, MGMT promoter unmethylation, 1p19q non-codeletion and prone to have a poor outcome. GEPIA results revealed that CD300C, CNRIP1 and MYO1F are the most related genes of immune infiltrations. The differential expression of these genes between low-grade gliomas and glioblastomas was confirmed by q-RT-PCR. Macrophage polarization-related gene signatures can predict the malignancy and outcome of patients with gliomas and might act as a promising target for glioma immunotherapy in the future.

Keywords: glioma; immune infiltration; immunotherapy; macrophage polarization; tumour microenvironment.

MeSH terms

  • Biomarkers, Tumor / genetics
  • Brain Neoplasms / genetics
  • Brain Neoplasms / immunology
  • Brain Neoplasms / mortality
  • Brain Neoplasms / pathology
  • Female
  • Gene Expression Profiling
  • Gene Expression Regulation, Neoplastic*
  • Glioma* / genetics
  • Glioma* / immunology
  • Glioma* / mortality
  • Glioma* / pathology
  • Humans
  • Kaplan-Meier Estimate
  • Macrophage Activation / genetics
  • Macrophages* / immunology
  • Macrophages* / metabolism
  • Male
  • Prognosis
  • Risk Assessment
  • Transcriptome / genetics

Substances

  • Biomarkers, Tumor