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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: 20 | Views: 637

Author(s)

Jinfeng Yao 1, Shuangquan Wang 1

Affiliation(s)

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

Corresponding Author

Shuangquan Wang

ABSTRACT

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. 

KEYWORDS

Esophageal Cancer, Iron Death, Prognostic differences

CITE THIS PAPER

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: http://dx.doi.org/10.23977/tranc.2023.040101.

REFERENCES

[1] Lin D-C. Large-scale genomic analyses reveal alterations and mechanisms underlying clonal evolution and immune evasion in esophageal cancer [J]. Nature Communications, 2023, 14(1).
[2] Wang X-Y, Beeraka N M, Xue N-N, et al. Identification of a three-gene prognostic signature for radioresistant esophageal squamous cell carcinoma [J]. World Journal of Clinical Oncology, 2023, 14(01): 13-26.
[3] Cui S, Mcgranahan N, Gao J, et al. Tracking the evolution of esophageal squamous cell carcinoma under dynamic immune selection by multi-omics sequencing [J]. Nature Communications, 2023, 14(1).
[4] Du Q-C, Wang X-Y, Hu C-K, et al. Integrative analysis of platelet-related genes for the prognosis of esophageal cancer [J]. World Journal of Clinical Cases, 2022, 10(33): 12077-88.
[5] Chen T, Cheng H, Chen X, et al. Family history of esophageal cancer increases the risk of esophageal squamous cell carcinoma [J]. Scientific Reports, 2015, 5(1).
[6] Asombang A W, Kayamba V, Lisulo M M, et al. Esophageal squamous cell cancer in a highly endemic region [J]. World Journal of Gastroenterology, 2016, 22(09): 2811-7.
[7] Zhou J, Guo T, Zhou L, et al. The ferroptosis signature predicts the prognosis and immune microenvironment of nasopharyngeal carcinoma [J]. Sci Rep, 2023, 13(1): 1861.
[8] Zhang Q, Kuang G, Li W, et al. Stimuli-Responsive Gene Delivery Nanocarriers for Cancer Therapy [J]. Nano-Micro Letters, 2023, 15(03): 305-37.
[9] Zhang P, Yao L, Chen M, et al. Prognostic factors affecting long-term outcomes in patients with brain metastasis from esophageal carcinoma [J]. Chinese Journal of Cancer Research, 2020, 32(06): 778-89.
[10] Marx A, Schumann A, Hoflmayer D, et al. Up regulation of the Hippo signalling effector YAP1 is linked to early biochemical recurrence in prostate cancers [J]. Sci Rep, 2020, 10(1): 8916.

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