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September 10, 2025PLoS ONEOpen Access

Derivation of a novel multi‐gene prognostic model based on regulated cell death pathways in acute myeloid leukemia: A comprehensive bioinformatic analysis integrating gene expression, mutation profiling, and immune infiltration

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Authors

APAli Ahmadi PeyghanANAmir Abas NavidiniaDBDavood Bashash

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Overview

Comprehensive bioinformatic analysis integrated gene expression and mutation profiling to improve prognosis in AML patients.

Key Points

  • A novel four-gene prognostic model accurately predicts survival outcomes in acute myeloid leukemia (AML) patients.
  • The model showed strong predictive accuracy with AUC values of 91% for 5-year survival in the training cohort.
  • Mutation analysis revealed key mutations associated with prognosis, including DNMT3A and RUNX1 in high-risk patients.
  • Increased M2 macrophage infiltration in high-risk patients suggests potential immune mechanisms influencing clinical outcomes.

Cite This Study

Peyghan et al. (2025) studied this question.

synapsesocial.com/papers/68c23f1fb210217d64795a97https://doi.org/10.1371/journal.pone.0328412
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