2.3. Construction of risk score
CRC
REGRESSION
In order to select the survival-related miRNAs, univariate Cox regression analysis was applied on m6A-related miRNAs, and the acquired miRNAs were adopted into the next analysis. To explore the mechanisms of the miRNAs in CRC, Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis was used via the website tool DIANA-mirPath v.3 (The expression profiles of m6A-related miRNAs and corresponding clinical information were divided into training set and validation set randomly with a 1:1 ratio. The miRNA expression profiles were normalized by log2 before analysis. The least absolute shrinkage and selection operator (LASSO) cox regression analysis was performed to construct of risk score in training set via “glmnet” package.To estimate the independent prognostic value of clinical data and risk score of CRC, univariate and multivariate Cox regression analyses was used in all CRC patients. Besides, hazard ratio (HR) and 95% confidence interval (CI) were also calculated. Furthermore, to improve the prediction power, the nomogram was constructed via “rms” package, including age, gender, TNM stage and risk score.