Bioinformatics analysis of genes related to ferroptosis in hepatic ischemia-reperfusion injury

Abstract

Background Primary liver cancer is the sixth most commonly diagnosed cancer and the third leading cause of cancer death worldwide in 2020. Liver resection or liver transplantation are the two most prominent modalities for the treatment of primary liver cancer, and both inevitably result in HIRI, causing serious complications for patients. Ferroptosis, a newly discovered mode of cell death, is closely related to HIRI. We further investigated the relationship between the two by means of bioinformatics analysis. Methods The GEO database dataset GSE112713 and FerrDB database data were selected for analysis using bioinformatic analysis methods (differential analysis, FRGs identification, GO analysis, KEGG analysis, PPI network construction and analysis, Hub gene screening with GO analysis and KEGG analysis, inter-gene interaction prediction, drug-gene interaction prediction, miRNA prediction). Results Volcano, Venn, bar chart, bubble chart, PPI network, and Cytoscape network plots were plotted. Conclusion There is a close relationship between HIRI and ferroptosis, and inhibition of ferroptosis could be a new approach to mitigate HIRI treatment.