Fig. 7: Prediction of response to drug treatments in CRC based on cellular states. | Communications Biology

Fig. 7: Prediction of response to drug treatments in CRC based on cellular states.

From: Deep immunophenotyping reveals clinically distinct cellular states and ecosystems in large-scale colorectal cancer

Fig. 7

a Association between cellular states and therapeutic benefit from FOLFIRI and FOLFOX treatments in CRC. Cell states were ranked by p-values of the associations with overall survival. b The association between cellular states with therapeutic benefits for FOLFIRI and FOLFOX treatment, separately. c Kaplan–Meier plots showing differences in survival between patients with Mon/Mac S01 and other states. d Kaplan–Meier plots showing differences in survival between patients with CD8 T cells S01 and other states. e Kaplan–Meier plots showing differences in survival between responders and non-responders with Mon/Mac S01 states. f Kaplan–Meier plots showing differences in survival between responders and non-responders with CD8 T cells S01 states. g Heatmap showing the association between cellular states and therapeutic benefits for drugs used for CRC therapy. TCGA CRC cohorts were used. h Schematic diagram showing the prediction of response to drug treatments by considering the cellular states in CRC. *p < 0.05.

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