Potential Role of Toll-like Receptor 2 Expression and Polymorphisms in Colon Cancer Susceptibility in the Saudi Arabian Population
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Background: Inflammation is a fundamental factor that contributes to the development and progression of several types of cancer including colon cancer. Toll-like receptors () and their signaling pathways have been reported to be associated with chronic inflammation and thereby induced cancer. Our aim was to investigate the expression and polymorphisms of and their association with colon cancer.
Methods: Real-time PCR and immunohistochemistry were used to investigate gene expression and to evaluate the potential risk of predisposition to colon cancer caused by three tagging single-nucleotide polymorphisms (SNPs) on , including rs3804100, rs4696480, and rs3804099. TaqMan assay was conducted on samples from 115 patients with colon cancer and 102 age- and sex-matched normal individuals.
Results: We found that, was highly expressed in epithelial colon cancer cells and both mRNA and protein levels, and significantly decreased in tumor tissues compared to normal tissues. Two of three SNPs increased the risk of colon cancer. However, rs3804099 increased the risk of colon cancer development by more than 3.8- and 5-fold in female patients and patients aged less than 57 years, respectively. The T allele of rs3804100 showed a significant association with patients less than 57 years. In silico analysis of the nucleotide substitution in SNP rs3804100 and rs3804099 determined that 67% and 70% probability of these single nucleotide variants alter splicing phenotypes, rs3804100 more specifically result on activating an additional splice site. Genotype and allele frequencies of rs4696480 were similar between the overall study populations. Thus, rs4696480 appear to be not involved in colon cancer in our study population.
Conclusions: There was a significant link between innate immunity deregulation through disruption of the and potential development of colon cancer. These SNPs can be used as screening markers for predicting colon cancer risk earlier in life to implement necessary prevention.
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