Establishment of a risk model correlated with metabolism based on RNA-binding proteins associated with cell pyroptosis in acute myeloid leukemia

Ting Bin; Chao Lin; Fang-Jie Liu; Ying Wang; Xiao-Jun Xu; Dong-Jun Lin; Jing Tang; Bo Lu

doi:10.3389/fonc.2022.1059978

Establishment of a risk model correlated with metabolism based on RNA-binding proteins associated with cell pyroptosis in acute myeloid leukemia

Front Oncol. 2022 Nov 17:12:1059978. doi: 10.3389/fonc.2022.1059978. eCollection 2022.

Authors

Ting Bin¹, Chao Lin², Fang-Jie Liu¹, Ying Wang¹, Xiao-Jun Xu¹, Dong-Jun Lin¹, Jing Tang¹, Bo Lu¹

Affiliations

¹ Department of Haematology, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, China.
² Department of Pediatrics, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, China.

Abstract

Background: RNA-binding protein (RBP) regulates acute myeloid leukemia (AML) by participating in mRNA editing and modification. Pyroptosis also plays an immunomodulatory function in AML. Therefore, this study aimed to identify pyroptosis-related RBP genes that could predict the prognosis of AML patients.

Methods: AML related expression data were downloaded from the UCSC website and Gene Expression Omnibus (GEO) database. Pyroptosis-RPB-related differentially expressed genes (PRBP-DEGs) were conducted with a protein-protein interactions (PPI) network to screen out the key PRBP-DEGs, based on which a risk model was constructed by Cox analysis, and evaluated by plotting Receiver operating characteristic (ROC) curves and survival curves. Independent prognostic analysis was performed and a nomogram was constructed. Finally, enrichment analysis was performed for high and low risk groups.

Reuslts: A total of 71 PRBP-DEGs were obtained and a pyroptosis-RPB-related risk model was constructed based on IFIT5, MRPL14, MRPL21, MRPL39, MVP, and PUSL1 acquired from Cox analysis. RiskScore, age, and cytogenetics risk category were identified as independent prognostic factors, and the nomogram based on these independent prognostic factors could accurately predict 1-, 3- and 5-year survival of AML patients. Gene set enrichment analysis (GSEA) showed that the high-risk and low-risk groups were mainly enriched in metabolic- and immune-related processes and pathways.

Conclusion: In this study, a risk score model correlated with metabolism based on RNA-binding proteins associated with cell pyroptosis in acute myeloid leukemia was established, which provided a theoretical basis and reference value for therapeutic studies and prognosis of AML.

Keywords: RNA-binding protein; acute myeloid leukemia; metabolism; prognostic model; pyroptosis.