Prognostic model construction and mechanism analysis of ribosome biogenesis-related genes in gastric cancer based on WGCNA and machine learning methods

Ribosome biogenesis (RB) is crucial for cell proliferation, but the role of RB-related genes (RBRGs) in gastric cancer remains unclear. Using TCGA and GEO data, we identified differentially expressed RBRGs and constructed a robust 7-gene prognostic model. High-risk patients exhibited activated oncogenic pathways, suppressed cell cycle/DNA repair, enriched M2 macrophages and Tregs, and increased sensitivity to various antitumor drugs. This RBRG-based model effectively predicts gastric cancer prognosis and reveals subtype-specific biological and immune characteristics.