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. 2022 Jul 22;13:923194. doi: 10.3389/fimmu.2022.923194

Figure 2.

Figure 2

Copy number profiles, intertumoral heterogeneity, and EMT signature subpopulations are identified. (A) The chromosomal landscape of copy number for 13,634 epithelial cells of seven primary tumors; amplification (red) and deletions (blue). (B) The chromosomal landscape of copy number for 2849 epithelial cells of metastatic tumors and primary tumors of the HG3 patient (L_HG3_P means the primary tumor from the left ovary in the HG3 patient; R_HG3_P means the primary tumor from the right ovary in HG3 patient). (C) The UMAP projection of 17,551 epithelial cells from 10 tumors of six patients (indicated by labels and colors) reveals tumor-specific clusters. (D) Differentially expressed genes of the top 10 genes (rows) that are differentially expressed in each cluster (columns). (E) Differentially expressed genes between Scissor+ cells and all other cells in HGSOCs, each point represents a gene. Red: significant genes; Black: NS genes. avg_logFC: log 2 fold-change of the average expression between the two groups. ((log-FC > 0.25, FDR <0.05) (F) Enrichment of significant genes related to Reactome and Hallmark pathways. (G) Kaplan-Meier plot shows that high expression of EMT signature has shorter overall survival in ovarian cancer. The high and low patients are split by the mean expression of the EMT-related gene set.