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Fig. 4 | Journal of Translational Medicine

Fig. 4

From: Genome wide-scale CRISPR-Cas9 knockout screens identify a fitness score for optimized risk stratification in colorectal cancer

Fig. 4

Construction of the nomogram model (A) Multivariate cox regression analysis of the CFG22 score and clinicopathologic features in the GSE39582, GSE17536, GSE161158, TCGA cohorts. (B-D) The nomogram prediction model for the probability of survival (B), calibration curves (C) and cumulative hazard (D) in patients with of colorectal cancer in the merged cohort containing the GSE39582, GSE17536, GSE161158, TCGA cohorts. (E) Decision curve analysis in the merged cohorts. X-axis represents risk threshold and y-axis represents net benefit. High- and low-risk group was identified according to the median of CFG22 score. *, p < 0.05; **, p < 0.01; ***, p < 0.001

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