INTERNATIONAL CONGRESS OF
PharmacoGenetics
A Bioinformatics Analysis of Common Genetic Variants in Nutrient-Related Genes Associated with Oral Cancer
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Farzaneh Ramezani Hombari ,1,*
1. Shahid Beheshti University of Medical Sciences, Health Park, Hakimieh, Second West Floor (Genomics Laboratory)
- Introduction: Oral cancer is one of the most common malignancies of the head and neck region, with a relatively high mortality rate and approximately 300,000 new cases diagnosed globally each year. In recent years, increasing attention has been given to the role of nutrition and genes involved in nutrient metabolism in modulating cancer risk. Particularly, the interaction between genetics and diet (nutrigenomics) has emerged as a key area of interest in understanding cancer susceptibility and treatment response. Genes such as MTHFR, GSTM1, SOD2, IL6, VDR, and APOE are involved in critical pathways like DNA methylation, detoxification, oxidative stress, and inflammation regulation.
- Methods: This study employed a bioinformatics-based approach using databases including NCBI, Ensembl, and KEGG. Genes associated with nutrient metabolism that have been previously linked to oral cancer were identified and analyzed. Common single nucleotide polymorphisms (SNPs) within these genes were extracted and evaluated. Functional pathway analysis and protein–protein interaction (PPI) network analysis were performed to determine the biological relevance of these variants and their involvement in oral carcinogenesis.
- Results: Our findings revealed that several high-impact variants, such as rs1801133 in MTHFR and rs366631 (GSTM1 deletion), may significantly influence oral cancer risk. These variants can alter gene expression and protein function, affecting key pathways involved in oxidative stress, inflammation, and nutrient metabolism. Notably, these genes play important roles in detoxification responses to carcinogens, especially in individuals exposed to tobacco.
- Conclusion: This study highlights the potential influence of genetic variants in nutrient-related genes on oral cancer susceptibility. Bioinformatics analysis of these SNPs provides a better understanding of the molecular mechanisms underlying disease development and supports the application of personalized and targeted nutritional or pharmacogenomic interventions.
- Keywords: Oral Cancer, nutrition,pharmacigenomic
