Regulation of prognosis-related Siglecs in the glioma microenvironment

J Cancer Res Clin Oncol. 2021 Nov;147(11):3343-3357. doi: 10.1007/s00432-021-03762-9. Epub 2021 Sep 1.

Abstract

Purpose: The anti-inflammatory environment of glioma reduces the efficacy of immunotherapies. Therefore, it is vital to transform the immunosuppressive microenvironment of glioma into a pro-inflammatory environment. Sialic acid-binding immunoglobulin-type lectins (Siglecs) can serve as immune checkpoint targets that enhance the anti-tumor immune response. However, the roles of Siglecs in the glioma microenvironment are unknown. This study was conducted to identify targets to inhibit the anti-inflammatory environment to improve therapeutic outcomes in patients with glioma.

Methods: We analyzed the regulatory effect of prognosis-related Siglecs identified from data available in The Cancer Genome Atlas database (TCGA) and China Glioma Genome Atlas Data portal on the immunosuppressive microenvironment of glioma. The effects of prognosis-related Siglecs on the glioma microenvironment were investigated by determining the Pearson correlation coefficients of the Siglecs in transcriptome data from the TCGA database.

Results: Siglec-1, -9, -10, and -14 were closely associated with the prognosis of patients with glioma. The expression of these four Siglecs was significantly increased in the high-risk group and positively correlated with anti-inflammatory cytokine levels in the glioma microenvironment.

Conclusion: Our study provides insights into the effects of prognosis-related Siglecs in glioma immunotherapy, suggesting that targeted prognosis-related Siglecs can modify the microenvironment of glioma and improve the sensitivity of patients with glioma to immunotherapy.

Keywords: Anti-inflammatory; Glioma; Microenvironment; Siglec.

MeSH terms

  • Brain Neoplasms / genetics*
  • Brain Neoplasms / immunology*
  • Glioma / genetics*
  • Glioma / immunology*
  • Humans
  • Macrophages / immunology
  • Nomograms
  • Prognosis
  • Proportional Hazards Models
  • Risk
  • Sialic Acid Binding Immunoglobulin-like Lectins / genetics*
  • Sialic Acid Binding Immunoglobulin-like Lectins / immunology*
  • Transcriptome
  • Tumor Microenvironment / genetics
  • Tumor Microenvironment / immunology

Substances

  • Sialic Acid Binding Immunoglobulin-like Lectins