Neutrophil extracellular traps−related signature predicts the prognosis and immune infiltration in gastric cancer

Introduction Gastric cancer (GC) is the fifth most prevalent globally, with third highest case fatality rate. Neutrophil extracellular traps (NETs) are a reticulated structure of DNA, histones, and antimicrobial peptides produced by active neutrophils that trap pathogens. Even though NETs associated poorer recurrence-free survival (RFS) overall (OS), specifics this interaction between cells yet unknown. Methods The keywords “neutrophil gastric cancer” were used in GEO database for retrieval, GSE188741 dataset was selected to obtain NETs-related gene. 27 genes screened univariate Cox regression analysis ( p < 0.05). employed identify categorize NETs-subgroups GC patients under Consensus clustering analysis. 808 TCGA-STAD combined GES84437 randomly divided into training group n = 403) test at ratio 1:1 validate signature. Results Based on Multivariate LASSO develop prognosis model. We developed very specific nomogram improve NETs-clinical score’s usefulness. Similarly, we also performed great result pan-cancer study NETs-score. Low scores linked higher MSI-H (microsatellite instability-high), mutation load, immune activity. stem cell (CSC) index chemotherapeutic treatment sensitivity connected NET score. Our comprehensive suggests have role tumor microenvironment, clinicopathological features, prognosis. Discussion NETs-score risk model provides basis better therapy outcomes patients.