Weighted gene coexpression network analysis on immune-related biomarkers in colon cancer
Objective To identify the immune-related prognostic genes that may be involved in the development and progression of colon cancer,and to screen the immune biomarkers analyzing the data from The Cancer Genome Atlas(TCGA)and Gene Expression Omnibus database(GEO)by weighted gene co-expression network.Methods The study was from November to December 2022.The weighted gene coexpression network analysis was performed on immune-related genes in GSE41657 and TCGA datasets for colon cancer,and the immune-related biomarkers were screened from key modules.The gene expression data and clinical information from the TCGA database were further analyzed.Results The most critical immune-related modules in the occurrence and development of colon cancer were obtained;their functions were enriched in chemokine signaling,migration,activation,proliferation,and migration of immune cells;their pathways were enriched in the chemokine signaling pathway,antigen processing and presentation,MAPK signaling pathway,HIF-1 signaling pathway,PI3K-Akt signaling pathway,and NF-Kappa B signaling pathway.Ten genes were identified as the prognostic targets of colon cancer,including NMB,SCG2,IL1A,ULBP2,INHBB,COLEC12,F2RL1,ANGPTL1,NR3C2,and TNFRSF17.Two genes,COLEC12 and ANGPTL1,which were the most closely correlated with colon cancer immunity,were screened out through the TIMER database.They were enriched in many immune-related and cancer-related pathways,including the JAK Stat signaling pathway,Toll-like receptor signaling pathway,and MAPK signaling pathway.They may play important roles in tumor immune microenvironment.Conclusion COLEC12 and ANGPTL1 may regulate colon cancer and its immune microenvironment through a variety of signaling pathways,and are expected to become potential immunotherapy targets.
Colon cancerWeighted gene coexpression network analysisImmune related biomarkersCancer genome atlasGene Expression Omnibus database
国家科技期刊平台
NSTL
万方数据
