Single-Cell Transcriptome Analysis Reveals RGS1 as a New Marker and Promoting Factor for T-Cell Exhaustion in Multiple Cancers

Front Immunol. 2021 Dec 8:12:767070. doi: 10.3389/fimmu.2021.767070. eCollection 2021.

Abstract

T-cell exhaustion is one of the main reasons of tumor immune escape. Using single-cell transcriptome data of CD8+ T cells in multiple cancers, we identified different cell types, in which Pre_exhaust and exhausted T cells participated in negative regulation of immune system process. By analyzing the coexpression network patterns and differentially expressed genes of Pre_exhaust, exhausted, and effector T cells, we identified 35 genes related to T-cell exhaustion, whose high GSVA scores were associated with significantly poor prognosis in various cancers. In the differentially expressed genes, RGS1 showed the greatest fold change in Pre_exhaust and exhausted cells of three cancers compared with effector T cells, and high expression of RGS1 was also associated with poor prognosis in various cancers. Additionally, RGS1 protein was upregulated significantly in tumor tissues in the immunohistochemistry verification. Furthermore, RGS1 displayed positive correlation with the 35 genes, especially highly correlated with PDCD1, CTLA4, HAVCR2, and TNFRSF9 in CD8+ T cells and cancer tissues, indicating the important roles of RGS1 in CD8+ T-cell exhaustion. Considering the GTP-hydrolysis activity of RGS1 and significantly high mRNA and protein expression in cancer tissues, we speculated that RGS1 potentially mediate the T-cell retention to lead to the persistent antigen stimulation, resulting in T-cell exhaustion. In conclusion, our findings suggest that RGS1 is a new marker and promoting factor for CD8+ T-cell exhaustion and provide theoretical basis for research and immunotherapy of exhausted cells.

Keywords: RGS1; T-cell exhaustion; multiple cancers; poor prognosis; single-cell transcriptome.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Biomarkers, Tumor / genetics*
  • Biomarkers, Tumor / metabolism
  • CD8-Positive T-Lymphocytes / metabolism*
  • Gene Expression Profiling / methods*
  • Gene Ontology
  • Gene Regulatory Networks
  • Humans
  • Kaplan-Meier Estimate
  • Neoplasms / genetics*
  • Neoplasms / metabolism
  • Neoplasms / pathology
  • Prognosis
  • RGS Proteins / genetics*
  • RGS Proteins / metabolism
  • Single-Cell Analysis / methods*
  • Tumor Microenvironment / genetics

Substances

  • Biomarkers, Tumor
  • RGS Proteins
  • RGS1 protein, human