Machine learning-random forest model was used to construct gene signature associated with cuproptosis to predict the prognosis of gastric cancer

The purpose of the present study was to establish a prognostic model of CRGs and provide directions for the diagnosis and treatment of GC. Transcriptome and clinical data of patients with GC were collected from The Cancer Genome Atlas and Gene Expression Omnibus datasets.