فهرست نشریات علمی دسترسی آزاد ایران

Background and Objectives: The relationship between ferroptosis characteristics and immune-associated cells in patients with metastatic colorectal cancer (mCRC) and their impact on patient prognosis is unclear.To investigate the relationship between iron death factor and immune-related cells and the prognosis of patients with metastatic colorectal cancer (mCRC).   Methods: Publicly available gene expression data and complete clinical annotation information from the Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) databases were utilised. Differentially expressed genes between mCRC patients and normal samples were obtained by R software. Enable the “ConsensusClusterPlus” tool for grouping and survival analysis of patients. Prognostic risk models were then constructed using multifactor regression analysis and the LASSO algorithm. We further constructed prognostic histograms and mapped gene-immune cell correlation networks.   Results: We included five datasets (GSE68468, GSE62321, GSE14297, GSE6988, GSE40367) from the GEO database. TCGA database had 35 up-regulated genes and 29 down-regulated genes associated with colorectal cancer metastasis (n=87). ALOX15 (P=0.003, HR=2.26, 95%CI: 1.32-3.84), SLC1A5 (P=0.032, HR=0.36, 95%CI: 0.14-0.92), and PT-stage (P=0.014, HR=3.42, 95%CI: 1.29-9.09) were associated with PFS in mCRC from multifactorial analysis. Lasso regression prognostic model model function:Riskscore=(0.2934)*RPL8 expression level+(-0.2941)*SLC1A5 expression level +(-0.0859)*EMC2 expression level. The signature prognostic model showed a negative correlation between riskscore and Neutrophil expression (P=0.001, R=-0.35, 95%CI: -0.52-(-0.14)).   Conclusion: SLC1A5, EMC2, and RPL8 may be key genes affecting the prognosis of patients with mCRC. Relatively low neutrophil expression may be accompanied by patients suffering from a higher risk of mCRC.