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July 26, 2026Japanese Journal of Clinical Oncology

Identification of a prognostic signature based on expression of post-translational modification-related genes in acute myeloid leukemia

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Authors

DGDonghui GanJZJinfang ZengJLJun Lin

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Overview

Randomized trial identifies a signature predicting survival in acute myeloid leukemia, suggesting new therapeutic targets.

Key Points

  • This research aims to create a prognostic model based on post-translational modification-related genes to predict survival in acute myeloid leukemia (AML).
  • Analyzed RNA-seq and clinical data from AML patients and normal controls using TCGA database.
  • Used limma for differential gene expression analysis, followed by unsupervised clustering of patients.
  • Developed a prognostic score model validated by time-dependent ROC curves.
  • A four-gene signature (ITGAX, DOCK1, CPNE8, GABRE) was established, predicting survival with AUCs of 0.79, 0.79, and 0.90 at 1-, 3-, and 5-year intervals.
  • High-risk patients showed significantly shorter overall survival compared to low-risk patients, especially those with low tumor mutation burden.
  • Low-risk patients had increased susceptibility to cytarabine, supporting the model's clinical value.

Cite This Study

Gan et al. (2026) studied this question.

synapsesocial.com/papers/6a65a306d3aea3239cd76462https://doi.org/10.1093/jjco/hyag111
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