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Journal of Cancer
Article . 2024 . Peer-reviewed
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DOK1 facilitates the advancement of ccRCC

Authors: Xie, Wei; Zhang, Yuanfeng; Shu, Bian; Zhang, Zhechuan; Zhang, Ronggui;

DOK1 facilitates the advancement of ccRCC

Abstract

Background: Renal cell carcinoma (RCC) is one of the most common human cancers. Clear cell renal cell carcinoma (ccRCC) is a major subtype of RCC. However, the molecular mechanisms underlying ccRCC oncogenesis require further investigation. Docking protein 1 (DOK1) is a putative tumor suppressor gene; however, its role in ccRCC remains unclear. Methods: Bioinformatic analysis was used to illustrate the poor prognosis associated with DOK1 expression and its role in tumor development in ccRCC in patients. qPCR (quantitative polymerase chain reaction) and western blotting assays were used to validate DOK1 expression in ccRCC cells. In vitro experiments were performed to further elucidate the biological role of DOK1 in ccRCC. Results: DOK1 was overexpressed in ccRCC tissues and cells at both mRNA and protein levels. High DOK1 expression closely correlated with poor survival in patients with ccRCC. DOK1 expression significantly accelerated ccRCC proliferation, migration, invasion, and epithelial-mesenchymal transition (EMT). Through PI3K (phosphatidylin-ositol-3-kinase)/AKT (protein kinase B)/GSK3β (glycogen synthase kinase 3 beta) signaling, DOK1 may control the progression of ccRCC. Conclusion: DOK1 has the potential to serve as a valuable biomarker and target for treatment in ccRCC through its regulation of PI3K/AKT/GSK3β signaling to promote ccRCC progression.

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Research Paper

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    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.
    Top 10%
    influence
    This indicator 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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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
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!
3
Top 10%
Average
Average
Green
gold
Related to Research communities
Cancer Research