Machine Learning Developed a Programmed Cell Death Signature for Predicting Prognosis, Ecosystem, and Drug Sensitivity in Ovarian Cancer

Figure 5

Single-cell analysis revealing the distinct ecosystem in OC patients. (a) tSNE plot of 34 cell clusters and 6 major cell types from 7 OC single-cell samples. (b) Dotplot showing average expression levels of cell marker genes of major cell types. ((c) and (d)) SNE plot of subcell types of T cells and expression pattern of cell markers in dotplot. ((e) and (f)) SNE plot of subcell types of myeloid cells and expression pattern of cell markers in dotplot. (g) CellChat revealing cell–cell communication network via known ligand-receptor pairs in OC samples with different CDS scores. (h) The low CDS-derived B cells, CD8⁺ cytotoxic T, and M1-like macrophage possessed a higher number of ligand-receptor pairs, whereas the CD4⁺ exhauster T and CD8⁺ exhauster T possessed fewer ligand-receptor pairs.

(a)

(b)

(c)

(d)

(e)

(f)

(g)

(h)