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Updated: Aug 19, 2025

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Published on: June 6, 2025
Establishment of a risk model correlated with metabolism based on RNA-binding proteins associated with cell
Ting Bin1, Chao Lin2, Fang-Jie Liu1
1Department of Haematology, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, China.
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.
Insights
This study identifies key RNA-binding proteins (RBPs) involved in pyroptosis to predict acute myeloid leukemia (AML) prognosis. A novel risk model using these genes accurately forecasts patient survival and highlights metabolic and immune pathway roles.
Area of Science:
- Oncology
- Molecular Biology
- Immunology
Background:
- RNA-binding proteins (RBPs) regulate gene expression in acute myeloid leukemia (AML).
- Pyroptosis, a programmed cell death pathway, modulates the immune response in AML.
- Identifying prognostic biomarkers in AML is crucial for patient management.
Purpose of the Study:
- To identify pyroptosis-related RNA-binding protein (RBP) genes.
- To develop a predictive model for acute myeloid leukemia (AML) patient prognosis.
- To explore the functional pathways associated with different risk groups in AML.
Main Methods:
- Downloaded AML expression data from public databases (UCSC, GEO).
- Constructed a protein-protein interaction (PPI) network to identify key pyroptosis-RBP differentially expressed genes (PRBP-DEGs).
- Developed a prognostic risk model using Cox analysis and validated it with ROC and survival curves, including nomogram construction and GSEA.
Main Results:
- Identified 71 PRBP-DEGs and established a risk model using IFIT5, MRPL14, MRPL21, MRPL39, MVP, and PUSL1.
- RiskScore, age, and cytogenetics were independent prognostic factors, with the nomogram accurately predicting 1-, 3-, and 5-year survival.
- GSEA revealed enrichment in metabolic and immune-related processes for high- and low-risk groups.
Conclusions:
- Established a novel risk score model based on pyroptosis-related RBPs for AML prognosis.
- The model, incorporating metabolic correlations, offers a valuable reference for AML therapeutic strategies and outcome prediction.
- This research provides a foundation for understanding RBP roles in AML pathogenesis and immune regulation.
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