Tao Wang, Aoran Zeng, Lili Zhu, Fengzhi Liu, Bowen Pang, Yan Liu, Zijian Liu, Jing Wang
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引用次数: 0
Abstract
This study investigated the relationship between ferroptosis related genes and the prognosis of gastric cancer patients. Gene expression and corresponding clinical data were obtained from the TCGA database. Differentially expressed genes in gastric cancer were identified using R software, and prognostic-related genes were screened using univariate Cox regression analysis. Prognostic genes related to ferroptosis were determined using a Venn diagram. A prognostic model was constructed using LASSO-Cox regression analysis. Additionally, the expression of DUSP1 in gastric cancer was validated through immunohistochemistry, Western blot, and qRT-PCR. The impact of DUSP1 on ferroptosis was analyzed by measuring iron and lipid content in gastric cancer cell lines. A total of 407 gastric cancer patients were included as the training cohort. Fifteen prognostic genes related to ferroptosis were identified, and an 11-gene prognostic model was constructed. Risk scores were calculated for each patient, revealing that the overall survival rate was higher in the low-risk group compared to the high-risk group. ROC curves, PCA plots, and Kaplan-Meier survival curves demonstrated the model's efficacy in predicting 5-year survival rates (AUC = 0.716). Increased DUSP1 expression, correlated with higher Fe2+ and lipid ROS levels, was observed in gastric cancer cells with increasing Erastin concentration. The prognostic model effectively predicts gastric cancer patient outcomes. DUSP1 is lowly expressed in gastric cancer tissues and is associated with malignancy and metastasis, playing a role in ferroptosis in gastric cancer cells.
期刊介绍：
Cell Biochemistry and Biophysics (CBB) aims to publish papers on the nature of the biochemical and biophysical mechanisms underlying the structure, control and function of cellular systems
The reports should be within the framework of modern biochemistry and chemistry, biophysics and cell physiology, physics and engineering, molecular and structural biology. The relationship between molecular structure and function under investigation is emphasized.
Examples of subject areas that CBB publishes are:
· biochemical and biophysical aspects of cell structure and function;
· interactions of cells and their molecular/macromolecular constituents;
· innovative developments in genetic and biomolecular engineering;
· computer-based analysis of tissues, cells, cell networks, organelles, and molecular/macromolecular assemblies;
· photometric, spectroscopic, microscopic, mechanical, and electrical methodologies/techniques in analytical cytology, cytometry and innovative instrument design
For articles that focus on computational aspects, authors should be clear about which docking and molecular dynamics algorithms or software packages are being used as well as details on the system parameterization, simulations conditions etc. In addition, docking calculations (virtual screening, QSAR, etc.) should be validated either by experimental studies or one or more reliable theoretical cross-validation methods.
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