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Fig. 7 | Journal of Translational Medicine

Fig. 7

From: Integration of single-cell regulon atlas and multi-omics data for prognostic stratification and personalized treatment prediction in human lung adenocarcinoma

Fig. 7

LPRI predict drug response in the chemotherapy and immunotherapy. A Veen plot shows the number of potential drug candidates from three databases, PRISM, CTRP v1, and CTRP v2. B Strategy for discovering potential sensitive drugs associated with LPRI. C Spearman’s correlation between LPRI and predicted AUCs of drugs. D Pathway annotation of potential sensitive drugs. E TIDE prediction scores between low- and high-risk subgroups. F Kaplan–Meier curves of overall survival in the high and -low (blue) subgroups based on LPRI after the PD-L1 blockade immunotherapy in the IMvigor210 cohort. ‘ns’ means no statistical significance, ∗P < 0.05, ∗∗P < 0.01, ∗∗∗P < 0.001 and ∗∗∗∗P < 0.0001

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