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Identification and validation of a novel ferroptosis-related gene model for predicting the prognosis of gastric cancer patients

Author

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  • Gang Liu
  • Jian-ying Ma
  • Gang Hu
  • Huan Jin

Abstract

Background: Ferroptosis is a novel form of regulated cell death that plays a critical role in tumorigenesis. The purpose of this study was to establish a ferroptosis-associated gene (FRG) signature and assess its clinical outcome in gastric cancer (GC). Methods: Differentially expressed FRGs were identified using gene expression profiles from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) database. Univariate and least absolute shrinkage and selection operator (LASSO) Cox regression analyses were performed to construct a prognostic signature. The model was validated using an independent GEO dataset, and a genomic-clinicopathologic nomogram integrating risk scores and clinicopathological features was established. Results: An 8-FRG signature was constructed to calculate the risk score and classify GC patients into two risk groups (high- and low-risk) according to the median value of the risk score. The signature showed a robust predictive capacity in the stratification analysis. A high-risk score was associated with advanced clinicopathological features and an unfavorable prognosis. The predictive accuracy of the signature was confirmed using an independent GSE84437 dataset. Patients in the two groups showed different enrichment of immune cells and immune-related pathways. Finally, we established a genomic-clinicopathologic nomogram (based on risk score, age, and tumor stage) to predict the overall survival (OS) of GC patients. Conclusions: The novel FRG signature may be a reliable tool for assisting clinicians in predicting the OS of GC patients and may facilitate personalized treatment.

Suggested Citation

  • Gang Liu & Jian-ying Ma & Gang Hu & Huan Jin, 2021. "Identification and validation of a novel ferroptosis-related gene model for predicting the prognosis of gastric cancer patients," PLOS ONE, Public Library of Science, vol. 16(7), pages 1-16, July.
  • Handle: RePEc:plo:pone00:0254368
    DOI: 10.1371/journal.pone.0254368
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    References listed on IDEAS

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    1. Le Jiang & Ning Kon & Tongyuan Li & Shang-Jui Wang & Tao Su & Hanina Hibshoosh & Richard Baer & Wei Gu, 2015. "Ferroptosis as a p53-mediated activity during tumour suppression," Nature, Nature, vol. 520(7545), pages 57-62, April.
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