Development of an esophageal cancer prognosis model based on pyroptosis and ferroptosis genes
To understand and assess the prognosis of esophageal cancer patients,predicting disease progres-sion and survival,this study collected relevant genes and clinical data associated with esophageal cancer from the Gene Expression Omnibus(GEO)database.Genes related to pyroptosis and ferroptosis were screened,A prognostic risk model for esophageal cancer was developed using the random forest algorithm and validated in The Cancer Genome Atlas(TCGA)-ESCA cohort.Additionally,the infiltration of immune cells in the tu-mor microenvironment of different risk groups was analyzed.The results revealed that the survival of the low-risk group in the training cohort was significantly better than that of the high-risk group(P<0.05).Further-more,the low-risk group in the training cohort had increased CD4+T cells and higher expression levels of CD8A,GZMB,and PRF1(P<0.05)compared to the high-risk group.The above results indicated that the ESCA prognostic model constructed based on pyroptosis and ferroptosis genomics provided important ref-erences for the clinical treatment of esophageal cancer patients.