Comprehensive analysis of disulfidptosis related genes and prognosis of gastric cancer
Qian Li, Long-Kuan Yin
Abstract
BACKGROUND: Gastric cancer (GC) is a common malignant tumor of the digestive system. Disulfidptosis is a new programmed cell death mechanism, although its specific mechanism in GC is incompletely understood. AIM: In this study, we used bioinformatics analysis to explore a disulfidptosis-based predictive model related to GC prognosis and to identify potential therapeutic targets and sensitive drugs for GC. METHODS: We extracted GC-related data from The Cancer Genome Atlas and Gene Expression Omnibus databases. R software (version 4.2.1) was used for correlation analysis. RESULTS: is a potential therapeutic target for treating GC. Bosutinib and other drugs are sensitive for the treatment of GC. CONCLUSION: represents a potential therapeutic target for GC.