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International Journal of Biological Sciences
Article . 2021 . Peer-reviewed
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International Journal of Biological Sciences
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Ferroptosis-related Genes for Overall Survival Prediction in Patients with Colorectal Cancer can be Inhibited by Gallic acid

Authors: Hong, Zongchao; Tang, Peili; Liu, Bo; Ran, Chongwang; Yuan, Chong; Zhang, Ying; Lu, Yi; +3 Authors

Ferroptosis-related Genes for Overall Survival Prediction in Patients with Colorectal Cancer can be Inhibited by Gallic acid

Abstract

Colorectal cancer (CRC) is one of the most deadly malignant tumors, which seriously threatens human health. Ferroptosis, a new type of iron-dependent cell regulatory necrosis. Inducing ferroptosis of tumor cells is regarded as a potential treatment strategy. However, the prognostic value of ferroptosis-related genes in CRC remains to be further elucidated. Gallic acid, widely used in the chemical, pharmaceutical, and food fields, is a dietary supplement with potential prescription significance. In this study, the mRNA expression profiles and corresponding clinical data of CRC patients were downloaded from public databases. Gene Expression Profiling Interactive Analysis (GEPIA) was used to evaluate the expression levels of ferroptosis-related genes. In addition, bioinformatics analysis showed the prognostic value of ferroptosis-related genes in CRC. Molecular docking predicts the binding status of gallic acid and ferroptosis-related genes. The experiment confirmed the correctness of the predicted results. Our results show that in the TCGA cohort, 30 ferroptosis-related genes are differentially expressed between CRC and adjacent normal tissues. Among them, eight differentially expressed genes are related to overall survival. Gallic acid can bind to ferroptosis-related targets and regulate the expression of corresponding proteins, and ferroptosis inhibitors reversed the experimental results. In summary, eight new ferroptosis-related genes can be used to predict the prognosis of CRC. Gallic acid can improve CRC by regulating ferroptosis.

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Keywords

Gene Expression Profiling, HCT116 Cells, Rats, Molecular Docking Simulation, Disease Models, Animal, Case-Control Studies, Gallic Acid, Animals, Ferroptosis, Humans, Colitis, Ulcerative, Protein Interaction Maps, Drug Screening Assays, Antitumor, Colorectal Neoplasms, Research Paper

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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
62
Top 1%
Top 10%
Top 1%
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gold
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Cancer Research