Impact of curcumin on ferroptosis-related genes in colorectal cancer: Insights from in-silico and in-vitro studies.
Ali Ahmadizad FirouzjaeiSeyed Hamid Aghaee-BakhtiariAli TaftiKazem SharifiMohammad Hassan Jafari Najaf AbadiSamaneh RezaeiSamira Mohammadi-YeganehPublished in: Cell biochemistry and function (2023)
Colorectal cancer (CRC) is responsible for a significant number of cancer-related fatalities worldwide. Researchers are investigating the therapeutic potential of ferroptosis, a type of iron-dependent controlled cell death, in the context of CRC. Curcumin, a natural compound found in turmeric, exhibits anticancer properties. This study explores the effects of curcumin on genes related to ferroptosis (FRGs) in CRC. To gather CRC data, we used the Gene Expression Profiling Interactive Analysis (GEPIA) and Gene Expression Omnibus (GEO) databases, while FRGs were obtained from the FerrDb database and PubMed. We identified 739 CRC differentially expressed genes (DEGs) in CRC and discovered 39 genes that were common genes between FRGs and CRC DEGs. The DEGs related to ferroptosis were enriched with various biological processes and molecular functions, including the regulation of signal transduction and glucose metabolism. Using the Drug Gene Interaction Database (DGIdb), we predicted drugs targeting CRC-DEGs and identified 17 potential drug targets. Additionally, we identified eight essential proteins related to ferroptosis in CRC, including MYC, IL1B, and SLC1A5. Survival analysis revealed that alterations in gene expression of CDC25A, DDR2, FABP4, IL1B, SNCA, and TFAM were associated with prognosis in CRC patients. In SW480 human CRC cells, treatment with curcumin decreased the expression of MYC, IL1B, and EZH2 mRNA, while simultaneously increasing the expression of SLCA5 and CAV1. The findings of this study suggest that curcumin could regulate FRGs in CRC and have the potential to be utilized as a therapeutic agent for treating CRC.
Keyphrases
- cell death
- gene expression
- genome wide
- genome wide identification
- dna methylation
- cell cycle arrest
- binding protein
- endothelial cells
- emergency department
- bioinformatics analysis
- machine learning
- signaling pathway
- climate change
- molecular docking
- smoking cessation
- patient reported
- long non coding rna
- molecular dynamics simulations
- peritoneal dialysis