Study on predictive value of ferroptosis-related alternative splicing events for the prognosis and treatment response of gastric cancer
LI Zhiyong
LI Yuxi
GUO Lei
FAN Xiaopeng
GUO Peng
Abstract：Objective To evaluate the value of ferroptosis-related alternative splicing events in predicting the prognosis of gastric cancer and to explore their impacts on the tumor microenvironment and response to the treatment.Methods Based on the transcriptome data of gastric cancer from The Cancer Genome Atlas(TCGA)database,ferroptosis-related alternative splicing events were screened.A nomogram model for predicting the prognosis of gastric cancer was constructed using LASSO regression and multivariate Cox regression.The predictive ability of the model and its underlying mechanisms were verified by combining functional enrichment analysis,assessment of immune cell infiltration and in vitro experiments.Results It was finally determined that a nomogram model for predicting the prognosis of gastric cancer was constructed based on 12 alternative splicing events related to ferroptosis.According to the median risk scores,the patients were divided into high-risk group(203 patients)and low-risk group(203 patients).The low-risk group exhibited the characteristics of immune activation,with a significantly improved prognosis(P＜0.05),and was more likely to benefit from targeted therapy and immunotherapy.The in vitro experiments confirmed that the high expression of the splicing factor SF3A2 promoted cell proliferation by inhibiting ferroptosis.Conclusion Ferroptosis-related alternative splicing events have good efficiency in predicting the prognosis and treatment response of gastric cancer,providing a potential basis for formulating individualized treatment strategies.
Keywords：FerroptosisGastric cancerPrognosisAlternative splicingTumor microenvironment
Publication Date：2025-09-30
Online Publishing Date：2025-10-24(First online date of this platform, not the publication date of the document)
Pages：7( 999-1005 )