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Chunhui Zhang 1 Article
Breast cancer
Elevated Expression of RIOK1 Is Correlated with Breast Cancer Hormone Receptor Status and Promotes Cancer Progression
Zhiqi Huang, Xingyu Li, Tian Xie, Changjiang Gu, Kan Ni, Qingqing Yin, Xiaolei Cao, Chunhui Zhang
Cancer Res Treat. 2020;52(4):1067-1083.   Published online May 8, 2020
DOI: https://doi.org/10.4143/crt.2020.187
AbstractAbstract PDFSupplementary MaterialPubReaderePub
Purpose
RIOK1 has been proved to play an important role in cancer cell proliferation and migration in various types of cancers—such as colorectal and gastric cancers. However, the expression of RIOK1 in breast cancer (BC) and the relationship between RIOK1 expression and the development of BC are not well characterized. In this study, we assessed the expression of RIOK1 in BC and evaluated the mechanisms underlying its biological function in this disease context.
Materials and Methods
We used immunohistochemistry, western blot and quantitative real-time polymerase chain reaction to evaluate the expression of RIOK1 in BC patients. Then, knockdown or overexpression of RIOK1 were used to evaluate the effect on BC cells in vitro and in vivo. Finally, we predicted miR-204-5p could be a potential regulator of RIOK1.
Results
We found that the expression levels of RIOK1 were significantly higher in hormone receptor (HR)–negative BC patients and was associated with tumor grades (p=0.010) and p53 expression (p=0.008) and survival duration (p=0.011). Kaplan-Meier analysis suggested a tendency for the poor prognosis. In vitro, knockdown of RIOK1 could inhibit proliferation, invasion, and induced apoptosis in HR-negative BC cells and inhibited tumorigenesis in vivo, while overexpression of RIOK1 promoted HR-positive tumor progression. MiR-204-5p could regulate RIOK1 expression and be involved in BC progression.
Conclusion
These findings indicate that RIOK1 expression could be a biomarker of HR-negative BC, and it may serve as an effective prognostic indicator and promote BC progression.

Citations

Citations to this article as recorded by  
  • Establishment of a 5-gene risk model related to regulatory T cells for predicting gastric cancer prognosis
    Gang Hu, Ningjie Sun, Jiansong Jiang, Xiansheng Chen
    Cancer Cell International.2020;[Epub]     CrossRef
  • 7,347 View
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  • 9 Web of Science
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