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. 2021 Oct 20;21:552. doi: 10.1186/s12935-021-02252-9

Fig. 8.

Fig. 8

ac The IC50 values of six anti-cancer drugs were predicted by pRRophetic algorithm and were Z-score normalized. The difference between high- and low-CAF risk groups of each drug in a TCGA COAD/READ, b GSE39582 and c GSE17536 cohort was compared by Wilcoxon test (** P < 0.01, *** P < 0.001). df TIDE analysis for predicting the likelihood of clinical response to immune checkpoint inhibitors in d TCGA COAD/READ, e GSE39582 and f GSE17536 cohort. Patients with a lower CAF risk score are more likely to respond from immune therapy