4.8 Article

The pyroptosis-related gene signature predicts prognosis and indicates the immune microenvironment status of chronic lymphocytic leukemia

Journal

FRONTIERS IN IMMUNOLOGY
Volume 13, Issue -, Pages -

Publisher

FRONTIERS MEDIA SA
DOI: 10.3389/fimmu.2022.939978

Keywords

Chronic lymphocytic leukemia; pyroptosis; prognosis; immune microenvironment; gene

Categories

Funding

  1. National Natural Science Foundation of China [82170166, 82100207, 81970146, 81900167]
  2. National Science Foundation of China International Cooperation and Exchange Program [81720108002]
  3. Six Talent Peaks Project in Jiangsu Province 2019 [WSN-001]
  4. Translational Research Grant of NCRCH [2020ZKZB01]

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This study identified differentially expressed pyroptosis-related genes (PRGs) between CLL and normal B cells, and constructed a risk model with three PRG signatures that showed high efficacy in predicting overall survival and time to first treatment in CLL. Functional and pathway analysis further revealed dysregulated immune and inflammatory responses in the high-risk group, as well as decreased immune cell infiltration and activity of immune-related pathways.
Chronic lymphocytic leukemia (CLL) is the most common leukemia in the Western world with great heterogeneity. Pyroptosis has recently been recognized as an inflammatory form of programmed cell death (PCD) and shares a close relationship with apoptosis. Although the role of apoptosis in CLL was comprehensively studied and successfully applied in clinical treatment, the relationship between pyroptosis genes and CLL remained largely unknown. In this study, eight differentially expressed pyroptosis-related genes (PRGs) were identified between CLL and normal B cells. In order to screen out the prognostic value of differentially expressed PRGs, univariate and multivariate Cox regression analyses were conducted and a risk model with three PRG signatures (GSDME, NLRP3, and PLCG1) was constructed. All CLL samples were stratified into high- and low-risk subgroups according to risk scores. The risk model showed high efficacy in predicting both overall survival (OS) and time to first treatment (TTFT). Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and Gene Set Enrichment Analysis (GSEA) showed the dysregulation of immune and inflammatory response in the high-risk group. Single-sample GSEA (ssGSEA) of immune cell infiltration and the activity of immune-related pathways also displayed decreased antitumor immunity in the high-risk group. In conclusion, PRGs are of prognostic value in CLL and may play important roles in tumor immunity, and the underlying relationship between PRGs and CLL needs to be explored further.

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