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.

Frontiers in Oncology
|December 5, 2022
PubMed
Abstract

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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