Stemness signatures reflect prognostic disturbances in gastric cancer

Figure 3 Development of the gastric cancer stemness sensitivity model and functional enrichment analysis of Niemann-Pick type C2. A: Univariate Cox regression analysis of module genes; B: Selection of optimal genes for prognosis prediction using LASSO regression; C: Multivariate Cox regression analysis of selected model genes; D: Comparison of gastric cancer stemness sensitivity (GCSS) scores, survival times, and model gene expression between high and low GCSS groups; E: Uniform manifold approximation and projection (UMAP) visualization of clustered tumor cells from scRNA-seq data; F: UMAP plots showing groups with high and low Niemann-Pick type C2 (NPC2) expression; G-I: Enrichment analyses for the NPC2 high-expression group across Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and other pathway datasets; J: Heatmap of differentially expressed genes between NPC2-high and -low groups from bulk RNA-seq; K and L: Enrichment analysis of differentially expressed genes in GO and KEGG.