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 5. Validation of the Stemness Subtype classification and exploration of the relevant clinical features and somatic mutational characteristics. (A, B) Differences in clinical features between distinct Stemness Subtypes in TCGA cohorts. (C, D) The waterfall plot of tumor somatic mutation established by those with Stemness Subtype I and Stemness Subtype II. Each column represented individual patients. The upper bar plot showed TMB, the number on the right indicated the mutation frequency in each gene. The right bar plot showed the proportion of each variant type. (E) Distribution of TMB between two subtypes. (F) The comparisons of mutational status of ATRX, BRAF, EGFR, IDH1, PTEN, TERT, and TP53 promoter between Stemness Subtype I and II. (*p < 0.05; **p < 0.01; ***p < 0.001; Kruskal-Wallis value).