Akademik Veri Yönetim Sistemi
INTERNATIONAL JOURNAL OF PHARMACOLOGY, cilt.20, sa.2, ss.279-289, 2024 (SCI-Expanded)
Background and Objective: Renal Cell Carcinoma (RCC) is the most frequent urological tumor in women and the third most prevalent
in men after prostate cancer and bladder cancer. Vitamin C, which is sometimes referred to as ascorbic acid (AsA), is one of the most
essential water-soluble vitamins in everyday life. The AsA, when administered in large enough amounts, has been shown to have
anti-cancer effects. The current study looked at how vitamin C works in RCC by combing through several open-source data sets.
Materials and Methods: First, using DrugBank 5.1.10, 28 direct protein targets (DPTs) of vitamin C were identified. As a further step, the
signaling pathways and protein-protein interaction (PPI) network of vitamin C DPTs was studied. From this, it was found that vitamin C
is associated with RCC. After that, cBioPortal was used to categorize mutations in four vitamin C DPTs (SLC2A1, EGLN1, EGLN3 and EGLN2)
associated with RCC. Then, 341 genes associated with RCC through the DISEASES database were identified. Results: It was determined
that RCC in the vitamin C-related KEGG pathway is linked to the SLC2A1, EGLN1, EGLN3 and EGLN2 genes. Finally, five consistent
coexpressed genes (EGLN1, EGLN3, ALB, EGLN2 and SLC2A1) as potential therapeutic targets of vitamin C in RCC were found. Significant
enrichment in the EGLN3, EGLN1 and EGLN2 genes was detected by GO analysis of the biological process. Conclusion: The molecular
mechanism underpinning vitamin Cʼs role in RCC might be better understood with the use of an integrated bioinformatics investigation.
It can be said that integrated bioinformatic analysis, can shed light on future studies on the interaction between drugs and diseases.