Aims: Although aberrant expression of peroxidasin-like (PXDNL) has been associated with carcinogenesis, its potential role in the Urothelial Carcinoma of the Bladder (UCB) remains unknown. The present study aimed to explore the role of PXDNL in UCB carcinogenesis and its potential clinical value.
Main Methods: Based on The Cancer Genome Atlas (TCGA) data, bioinformatics was used to explore the potential clinical value of PXDNL. Wound healing and Transwell invasion assays were employed for the purpose of assessing the cell motility, while the Western Blotting experiments were utilized for investigating the protein expression pattern of PXDNL in UCB and investigating the Epithelial-to-Mesenchymal Transition (EMT) and Wnt/β-catenin pathways for understanding the probable mechanisms involved.
Key Finds: PXDNL mRNA was overexpressed in UCB tissues and indicated a poor prognosis. High PXDNL mRNA levels were also associated with advanced clinicopathological features and were regarded as independent prognostic factors for UCB. However, PXDNL showed a weak correlation with immune cell infiltration in UCB. In addition, the findings of the study verified that the existing form of the PXDNL protein was 57-kDa and it was upregulated in the UCB cell lines and tissue samples. Furthermore, silencing PXDNL inhibited, while overexpressing PXDNL promoted EMT and motility of UCB cells in vitro. Mechanistic studies showed that PXDNL activated UCB cell motility via the Wnt/β-catenin pathway.
Significance: The results reveal a novel molecular target that could be further explored for developing preventive, predictive, and individualized treatment strategies for UCB.
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http://dx.doi.org/10.1016/j.lfs.2022.121270 | DOI Listing |
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Therapeutic failure in breast cancer patients is largely attributed to postoperative advancement and therapy resistance. Nevertheless, an efficacious prognostic signature for recognizing this population is lacking. The basement membrane (BM) has been proven to be strongly involved in cancer progression and metastasis, and has the potential to be a powerful predictor in breast cancer.
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