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Xinyuan XIE, Xiaochen NIU, Jianhui SUN, Yahan ZHANG, Pengfei CHEN. Ferroptosis-Related LncRNAs Signature Predicts the Prognosis of Stomach Adenocarcinoma[J]. Journal of Kunming Medical University.
Citation: Xinyuan XIE, Xiaochen NIU, Jianhui SUN, Yahan ZHANG, Pengfei CHEN. Ferroptosis-Related LncRNAs Signature Predicts the Prognosis of Stomach Adenocarcinoma[J]. Journal of Kunming Medical University.

Ferroptosis-Related LncRNAs Signature Predicts the Prognosis of Stomach Adenocarcinoma

  • Received Date: 2024-05-15
    Available Online: 2024-11-07
  •   Objective  To establish a prognostic model that predicts the survival and prognosis of gastric adenocarcinoma patients by studying the LncRNAs related to iron death in gastric cancer cells, thereby providing a theoretical basis for the development of their biomarkers and therapeutic targets.   Methods  The transcript sequencing data of gastric adenocarcinoma patients in the TCGA database were analyzed and intersected with iron death-related genes, which were screened for iron death-related LncRNAs by co-expression and differential analysis methods. One-way and multifactorial Cox regression analyses were used to screen out the prognostic-related LncRNAs in gastric adenocarcinoma patients, so as to establish the prognostic scoring models. On this basis, risk values were calculated for each sample, and the reliability of the model was fully verified. According to the model results, differences in the immune infiltration and immune response between the high- and low-risk groups were analyzed.   Results  Tumor tissues were screened for 503 LncRNAs (431 up-regulated and 72 down-regulated) associated with iron death compared to the normal tissues; univariate Cox regression analysis yielded 33 LncRNAs that could be used as the independent risk factors, whereas multivariate Cox regression analysis constructed a predictive model consisting of 17 LncRNAs. Survival curves indicated that patients with the high risk had the significantly lower survival rates than those with the low risk (P < 0.001). Unifactorial and multifactorial independent prognostic analyses showed that age, stage, and risk value were independent risk factors for patients; Time-dependent ROC curves suggested that the predicted AUC values of the model's 1-, 2-, and 3-year survival rates were 0.751, 0.799, and 0.779 respectively, proving that the model was reliable and stable. There were significant differences in multiple immune activation responses, the degree of immune cell infiltration, and the expression levels of immune check points between the high- and low-risk groups.   Conclusion  The established prognostic prediction model based on iron death-related lncRNAs for gastric adenocarcinoma patients can better assess the prognosis of patients, and the lncRNAs included in the model have the feasibility of being developed into biomarkers and therapeutic targets.
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