Bioinformatic Analysis of Common Nutritional Gene Variants Associated with Ovarian Cancer

Background: Ovarian cancer is one of the leading causes of cancer-related morbidity and mortality worldwide. Common variants in the expression of nutritional genes play an important role in the tumorigenesis and progression of ovarian cancer. The aim of this study was to comprehensively identify common variants of key nutritional genes associated with ovarian cancer using bioinformatics approaches.Methods: Relevant genetic and transcriptomic data were extracted from the public databases of NCBI, Gene, PubChem, and GEO. Common gene variants were selected based on their involvement in carcinogenic pathways, mutation profiles, and available experimental evidence. Bioinformatics tools were used to analyze gene expression patterns, chromosomal locations, mutation types, and biological functions.Results: A total of ۲۵ key genes associated with common variants in the expression of nutritional genes related to ovarian cancer were identified. These genes are involved in essential biological processes, including folate and one-carbon metabolism, lipid metabolism and obesity, glucose and insulin metabolism, inflammation and oxidative stress, hormone metabolism, and vitamin D metabolism. These functional groups showed the strongest associations with the incidence and progression of ovarian cancer based on SNP and gene expression studies. Furthermore, most of these genes were significantly upregulated in tumor samples.Conclusion: This comprehensive gene profile highlights potential biomarkers and therapeutic targets associated with common variants in nutritional genes involved in ovarian cancer. These findings may provide new insights into the molecular mechanisms of ovarian cancer and contribute to the development of improved diagnostic and therapeutic strategies.

کلیدواژه ها:

Ovarian cancer ، Nutritional genes ، Bioinformatics ، Gene expression ، SNPs