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Fig. 3 | Genome Medicine

Fig. 3

From: Molecular profiling of human non-small cell lung cancer by single-cell RNA-seq

Fig. 3

Mixed-lineage and single-lineage tumor cells in the same patient originate from common tumor ancestor cells. a Line plots showing the gene expression levels of clinical lineage-specific markers for single tumor cells from P19 and P22. b Heatmap showing the identified mitochondria mutations specific to tumor epithelial cells from P19. c PCA plot of single cells from P19, colored by redefined cell type, sample regions, and selected mitochondrial mutations. d Heatmap showing identified mitochondria mutations specific to tumor epithelial cells from P22. e PCA plot of single cells from P22, colored by cancer type, sample regions, and selected mitochondrial mutations. f PCA profiles of single cells from P19, colored by CNV clusters inferred by single-cell RNA-seq data. Only the cells with a corresponding CNV subtype with more than 10 cells were used for PCA analysis. g PCA profiles of single cells from P22, colored by CNV clusters inferred by single-cell RNA-seq data. Only the cells with a corresponding CNV subtype with more than 10 cells were used for PCA analysis. h Survival analysis of disease-free survival (DFS) and overall survival (OS) in ADC and SCC samples from TCGA. Mixed-lineage features were calculated based on the expression levels of the identified lineage marker genes for ADC, SCC, and NET. Samples with high scores and low scores represent high lineage-mixing features and low lineage-mixing features, respectively. i Mixed-lineage features evaluation for EGFR mutant samples and wild-type samples in ADC and SCC samples from TCGA, respectively. Mixed-lineage features were calculated based on the expression levels of the identified lineage marker genes for ADC, SCC, and NET. The higher the score indicates the higher lineage-mixed features

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