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Bioinformatics-based genetic analysis of correlation between esophageal cancer and iron death

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DOI: 10.23977/tranc.2023.040101 | Downloads: 23 | Views: 857


Jinfeng Yao 1, Shuangquan Wang 1


1 Shaanxi University of Chinese Medicine, Xianyang, Shaanxi, China

Corresponding Author

Shuangquan Wang


Tounderstand whether there is a correlation between esophageal cancer and iron death, we performed a series of integrative analyses of gene expression profiles of esophageal cancer and driver genes of iron death through bioinformatics, and finally we identified 9 genes associated with iron death with significant overall prognostic variability of the genes. Through gene enrichment we understood that these 9 genes were associated with various pathways such as autophagy and metabolism. Among them, CDO1 and YAP1 genes have the greatest impact on esophageal cancer and may become potential prognostic markers for esophageal cancer. 


Esophageal Cancer, Iron Death, Prognostic differences


Jinfeng Yao, Shuangquan Wang, Bioinformatics-based genetic analysis of correlation between esophageal cancer and iron death. Transactions on Cancer (2023) Vol. 4: 1-8. DOI:


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