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.核糖体生物发生（Ribosome biogenesis, RB）对细胞增殖至关重要，但核糖体生物发生相关基因（RB-related genes, RBRGs）在胃癌中的作用仍有待阐明。本研究利用癌症基因组图谱（The Cancer Genome Atlas, TCGA）与基因表达综合数据库（Gene Expression Omnibus, GEO）的数据，筛选得到差异表达的RB相关基因，并构建了一个稳健的7基因预后模型。高风险患者群体呈现出致癌通路激活、细胞周期与DNA修复通路受抑制、M2巨噬细胞及调节性T细胞（Tregs）富集的特征，且对多种抗肿瘤药物的敏感性显著升高。该基于RB相关基因的预后模型可有效预测胃癌患者的预后，并揭示胃癌亚型特异性的生物学与免疫学特征。