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August 25, 2025Clinical and Experimental MedicineOpen Access

A novel prognostic signature integrating disulfidptosis- and ferroptosis-related genes in acute myeloid leukemia

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Authors

HJHuihui JiangLLLiang LiTLTingting Liu

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Overview

Prognostic signature predicts drug sensitivity and immunotherapy response in acute myeloid leukemia, highlighting key immune interactions.

Key Points

  • The prognostic signature accurately predicts patient outcomes in acute myeloid leukemia, enhancing treatment precision.
  • Kaplan–Meier survival analysis confirmed that distinct risk groups show significant survival differences, with immune infiltration differences identified.
  • Analysis utilized the least absolute shrinkage and selection operator algorithm to formulate a reliable risk signature from TCGA-LAML datasets.
  • This signature may lead to more effective therapeutic strategies tailored to individual patients based on their unique risk profiles.

Cite This Study

Jiang et al. (2025) studied this question.

synapsesocial.com/papers/68af7b2a7567bf4f94ff3499https://doi.org/10.1007/s10238-025-01670-7
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Also Consider

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  1. 1Integrative Genomic and Immune Profiling to Identify and Characterize High-Risk Subgroups in Acute Myeloid Leukemia: Development of a 20-Gene Predictive Signature and Its Clinical Implications.2025 · 2 citations
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  3. 3Construction of a prognostic risk model for acute myeloid leukemia based on exosomal genes and analysis of immune microenvironment characteristics2025 · 4 citations
  4. 4Lysosome-derived biomarkers for predicting survival outcome in acute myeloid leukemia2025
  5. 5Derivation 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 infiltration2025