Research Paper Volume 16, Issue 14 pp 11248—11274
A stemness-based signature with inspiring indications in discriminating the prognosis, immune response, and somatic mutation of endometrial cancer patients revealed by machine learning
Figure 6. Evaluation of immunogenomic patterns and functional analysis in two stemness subtypes. (A) Different stromal score, immune scores, ESTIMATE scores, and tumor purity in two subtypes. (B) Different distributions of 22 kinds of tumor-infiltrating cells in two subtypes (*p < 0.05; **p < 0.01; ***p < 0.001). (C) Different proportions of high and low immunity tumors in two stemness subtype. (D) The expression levels of PD-1, PD-L1, PD-L2, CTLA-4, CD80 and CD86 in Stemness Subtype I and II. (E) Survival analyses for subgroup patients stratified by both stemness subtype and TMB using Kaplan-Meier curves. (p < 0.001, Log-rank test). (F) GSEA showed the significantly enriched KEGG pathways based Stemness Subtype I and II. (G) Fractions of EC patients were shown in the form of a Sankey map according to different classifications (clinical stage: I/II/III/IV; stemness subtypes: I and II; immunity: high and low).