Molecular Detection of Genetic Susceptibility to Bladder Cancer in Egyptian Patients

Document Type : Research Articles

Authors

1 Department of Biochemistry, Theodor Bilharz Research Institute, Cairo, Egypt.

2 Faculty of Biotechnology, MSA University, Cairo, Egypt.

3 Department of Urology, Theodor Bilharz Research Institute, Cairo, Egypt.

4 Department of Pathology, Theodor Bilharz Research Institute, Cairo, Egypt.

Abstract

Objective: Genome-wide association studies (GWAS) have identified a number of genetic variants associated with the susceptibility of bladder cancer (BC) in European and Chinese populations. Here, we assessed the association of two of these variants, rs9642880 and rs710521 in an Egyptian patients and also examined the expression of c-Myc.The basis was due to the absence of studies on Egyptian patients to determine the association between rs9642880& rs710521 and bladder cancer risk, particularly due to the known role of the variant (rs9642880) in the Progression and development of bladder cancer. Methods: Urine samples were collected from onehundred and fiftybladder cancer patients under particular standards and fifty healthy controls. Genomic DNA was extracted,  rs9642880 G>T and rs710521 A>G polymorphisms were amplified, assessed via restriction fragment length polymorphism(RFLP) and sequenced. Urine retrieved results were compared to the histopathological diagnosis of tissue biopsies and to the results of C-Myc immunohistochemistry. Data were statistically analyzed using Microsoft Excel 2016, association between significant genotypes of the two studied variables and bladder cancer risk was performed. Results: We found that the TT genotype of rs9642880 G>T was strongly associated with the risk of bladder cancer, andfor rs710521 A>G, AG genotype was also identified to has an association with bladder cancer risk.All 150 tumor sections showed positive immunoreactivity for c-Myc in the nucleus and the cytoplasm. Conclusion: Identifying the association to risk of bladder cancer using genetic analysis will help in the early detection of the disease.

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