Cancers · 2020 · 23 citations · 36 references
Radiotherapy is commonly used to treat oral cancer patients in the current clinics; however, a subpopulation of patients shows poor radiosensitivity. Therefore, the aim of this study is to identify a biomarker or druggable target to enhance the effectiveness of radiotherapy on oral cancer patients. By performing an in silico analysis against public databases, we found that the upregulation of <i>FOXD1</i>, a gene encoding forkhead box d1 (Foxd1), is extensively detected in primary tumors compared to normal tissues and associated with a poor outcome in oral cancer patients receiving irradiation treatment. Moreover, our data showed that the level of <i>FOXD1</i> transcript is causally relevant to the effective dosage of irradiation in a panel of oral cancer cell lines. The <i>FOXD1</i> knockdown (FOXD1-KD) dramatically suppressed the colony-forming ability of oral cancer cells after irradiation treatment. Differentially expressed genes analysis showed that <i>G3BP2</i>, a negative regulator of p53, is predominantly repressed after FOXD1-KD and transcriptionally regulated by Foxd1, as judged by a luciferase-based promoter assay in oral cancer cells. Gene set enrichment analysis significantly predicted the inhibition of E2F-related signaling pathway but the activation of the interferons (IFNs) and p53-associated cellular functions, which were further validated by luciferase reporter assays in the FOXD1-KD oral cancer cells. Robustly, our data showed that FOXD1-KD fosters the expression of <i>TXNIP</i>, a downstream effector of IFN signaling and activator of p53, in oral cancer cells. These findings suggest that <i>FOXD1</i> targeting might potentiate the anti-cancer effectiveness of radiotherapy and promote immune surveillance on oral cancer.
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The Role of Tumoral FOXP3 on Cell Proliferation, Migration, and Invasion in Gastric Cancer
Lu Zhang, Jianghao Xu, Xuan Zhang et al. · Cellular Physiology and Biochemistry · 2017 · 4.1K citations · Full text
Ting Li, Hanqing Guo, Hong Li et al. · Gut · 2019 · 137 citations · Full text