Breast cancer has been increasing in developing countries; this cancer is becoming a fundamental health problem for these countries. Glyceraldehyde-3-phosphate dehydrogenase (GAPDH) is a classical glycolytic enzyme correlated with the hormonal receptor concentrations, cell proliferation, tumor grade and stage, drug resistance, and outcome of breast cancer cells. Furthermore, genetic variations in miRNA binding sites could be played an essential role in breast cancer risk and survival. In this study, the SNP rs1803622 at the 3′-UTR of GAPDH was chosen as a candidate SNP for investigation based on bioinformatics studies. This polymorphism was genotyped in an Iranian population with 123 breast cancer patients and 117 matched healthy controls using the Allele-Specific Primer (ASP)-PCR method. The functional impact of this genetic variation on the post-transcriptional regulation of GAPDH gene were bioinformatically studied. The genotyping data, for the first time, successfully identified frequencies of GG, GT, and TT to be 7%, 61%, and 32% in breast cancer patients, respectively. In particular, the assessed frequencies of allele G was 38% while risk allele T was 62% in these population. Results revealed that compared with the GG genotype of rs1803622, T allele was related to a significantly increased risk of breast cancer in a dominant genetic model Significant difference in allele and genotype distributions in the SNP rs1803622 was found between the high and low expression levels of estrogen, progesterone, and HER2 receptors. Furthermore, allele and genotype frequencies in the SNP rs1803622 were also related to the stage and grade of breast cancer. Surprisingly, Genotype and allele frequencies in this SNP were also significantly different in metastatic and non-metastatic breast cancer samples. Finally, the bioinformatics data suggested that the SNP rs1803622 might be involved in transcriptional regulation of the GAPDH gene by hsa-miR-548g.
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