Skip to main content
Fig. 1 | Genome Medicine

Fig. 1

From: Predicting heterogeneity in clone-specific therapeutic vulnerabilities using single-cell transcriptomic signatures

Fig. 1

Impact of intra-patient transcriptomic heterogeneity on clinical outcomes. a Scatterplots showing the correlation between transcriptomic heterogeneity estimates based on in silico deconvolution (ITTH score) versus single-cell analysis derived values (scITTH score). b Survival analysis with ITTH clusters (Low/Medium/High) identified significant differences across various cancer types (FDR-corrected log-rank p value<0.05). c Plots depicting the overlap between clusters based on transcriptomic profiles (TC) and ITTH scores. P values are based on Fisher’s exact test and indicate that the clusters are distinct for most cancer types. d Comparison between ITTH scores of patients from different RECIST classes for Doxorubicin, Carboplatin, and Leucovorin highlighting significant differences (*FDR-corrected Wilcoxon p value<0.05)

Back to article page