Journal
TRANSLATIONAL ANDROLOGY AND UROLOGY
Volume -, Issue -, Pages -Publisher
AME PUBLISHING COMPANY
DOI: 10.21037/tau-23-432
Keywords
Secreted phosphoprotein 1 (SPP1); molecular beacon (MB); messenger RNA (mRNA); bladder cancer (BC)
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A molecular beacon (MB) for detecting SPP1 messenger RNA was developed in this study, which could predict the recurrence and prognosis of bladder cancer (BC). The results showed that high expression of SPP1 could predict early tumor recurrence in BC.
Background: Bladder cancer (BC) has attracted significant attention on account of its recurrence as well as mortality. Tumor recurrence plays a significant role in cancer patients' individual treatment. Secreted phosphoprotein 1 (SPP1) has been recognized as a potential target for treating BC and served as a useful biomarker for prognosis; it is commonly tested by immunohistochemistry (IHC). However, this conventional method has the disadvantage of being time-consuming and costly. This study aimed to develop a molecular beacon (MB) for the detection of SPP1 messenger RNA (mRNA) for the recurrence prognosis of BC.Methods: An MB was constructed and applied to image SPP1 mRNA level at both molecular and cellular level. The fluorescence spectra were recorded with a fluorescence spectrophotometer. The effect of SPP1 MB toward the cell viability was performed by Cell Counting Kit-8 (CCK-8) assays. The SPP1 mRNA expression level was measured by quantitative real-time polymerase chain reaction (qRT-PCR). Cancer cells and tissues were analyzed with confocal fluorescence imaging. Correlation, sensitivity, and specificity parameters were calculated.Results: It was demonstrated that both cancer cells and BC tissues expressed high signal which reflected the expression of SPP1. In addition, 42 cases were detected by MB and divided into two groups according to the fluorescence intensity. The results further suggested that highly expressed SPP1 could predict early tumor recurrence in BC.Conclusions: The SPP1 MB could be applied as an appropriate approach to predict BC recurrence and patients' prognosis.
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