Abstract
Bladder cancer is one of the most predominant tumors of the genitourinary tract. In addition to pathological findings, the molecular modifications that might affect tumorigenesis and tumor outcome should be considered when treating bladder cancer. Accordingly, we aimed to investigate the expression levels of both the ASPM and TEF genes in bladder cancer tissues and their value in disease prognosis. The expression levels of the ASPM and TEF genes were analyzed by quantitative real-time PCR (qRT-PCR) in 90 bladder cancer tissue specimens and 90 specimens of normal urinary bladder tissue taken away from the tumor site. The upregulation of ASPM expression and the downregulation of TEF expression were observed in bladder cancer tissues compared to adjacent normal tissues, and these levels were correlated with high-grade tumors, advanced stage disease and the presence of metastasis. Both genes had the ability to predict metastatic association with sensitivity (84.62%) and specificity (68.42%; *P < 0.001) for the ASPM gene and for the TEF gene with sensitivity (80.77%) and specificity (78.95%; *P < 0.001). Additionally, Kaplan–Meier survival analysis indicated that elevated ASPM expression levels and reduced TEF expression levels significantly correlated with decreased overall survival and progression-free survival. The current analysis concludes that ASPM and TEF expressions might be used as potential biomarkers in bladder cancer patients.
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All the authors have contributed to the study to an adequate degree to be named as authors. AAS and SES performed the lab investigation and the molecular analysis and selected the study design. SG and ME were responsible for samples and data collections and evaluation of the involved patients. AS Performed the pathological examinations and all authors participate in writing and revision of the paper and approved the final manuscript.
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Saleh, A.A., Gohar, S.F., Hemida, A.S. et al. Evaluation of ASPM and TEF Gene Expressions as Potential Biomarkers for Bladder Cancer. Biochem Genet 58, 490–507 (2020). https://doi.org/10.1007/s10528-020-09962-1
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DOI: https://doi.org/10.1007/s10528-020-09962-1