| For more than 20 years,gene expression profiling has been one of the research directions of probability and statistics,bioinformatics,and computer science.Through the data analysis of gene expression profiles,exploring the course of cancer development from the perspective of genes and its relationship with the tumor microenvironment has become one of the most popular topics at the moment.Reactive oxygen species(ROS)are closely related to tumor immune microenvironment.In this study,we first downloaded ROS related gene data from GSEA database,and screened four genes(NOS3,TRAF2,MYB and ARG1)that can independently affect the prognosis of gastric cancer patients through Cox model univariate and multivariate analysis.A ROS related model was established to calculate the risk score using the four genes,and the samples from the Cancer Genome Atlas(TCGA)and Gene Expression Omnibus(GEO)were divided into high-risk group and low-risk group.By comparing the models based on age,gender,tumor,lymph node and metastasis stage,we observed that the risk score was closely related to the prognosis of patients.Furthermore,we studied the enrichment of reactive oxygen species(ROS)-related pathways in high-risk and low-risk groups.By analyzing the infiltration of ROS related high-risk and low-risk immune cells in the two databases,we found that there were significant differences in the infiltration of five kinds of cells in high-risk and low-risk groups.Finally,we confirmed that two genes CCL2 and CCL19,which are closely related to ROS and can regulate cell infiltration,are positively correlated with ROS in TCGA database and negatively correlated with ROS in geo database.Therefore,ROS model is closely related to the prognosis of patients,and can affect the infiltration of immune cells.These results are helpful for further study of ROS and its immune microenvironment. |
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