3.2. Development and validation of risk score
CRC
REGRESSION, COLORECTAL CANCER, INTERACTION
A total of 29 m6A-related miRNAs were found to be related with survival via univariate Cox regression analysis. These miRNAs may play important roles in m6A modification of CRC, so KEGG pathway analysis was used and the results showed that these miRNAs were enriched in MAPK signaling pathway, Ras signaling pathway, Wnt signaling pathway, Hippo signaling pathway, TGF-β signaling pathway and so on (Fig. (A) KEGG enrichment analysis was used based on website tool DIANA-mirPath v.3. (B) Interaction network showed the correlation among m6A modification regulators and m6A-related miRNAs. The red diamonds meant m6A modification regulators and the green ellipses meant miRNAs.We screened these miRNAs by the LASSO Cox regression and only 5 miRNAs were selected into the model in training set (Fig. (A) The optimum lambda value was selected in LASSO cox regression analysis. (B) Change of coefficients with different lambda value in the model. (C and D) Risk score, survival time and heatmap of 5 miRNAs between high-risk group and low-risk group in training set and validation set.(A and B) ROC curves of risk score based on the 5 miRNAs to predict 5-yr survival rate in training set and validation set, respectively. (C and D) K–M survival curves of different risk groups were performed in training set and validation set, respectively. (E) Univariate and multivariate Cox regression analyses were used in all CRC patients. CRC = colorectal cancer, K–M, Kaplan–Meier.To investigate the independent risk factor of all CRC patients, univariate and multivariate Cox regression analysis were used. As is shown in Figure 