2.3. Construction of the Multiomics Prognostic Signature for EC

Subsequent filtration of the 457 significant DEGs, 746 differential methylation loci, 482 mutated, and 380 copy number varied genes was completed by LASSO penalized Cox regression with overall survival as the dependent variable. Finally, 22 molecules were adopted for modeling. Next, Kaplan–Meier curves were depicted to show the prognostic power of the 22-gene-signature where the risk score of each patient was calculated with the following formula: ∑_iⁿ Coef_i^∗X_i (Coef_i: cox regression coefficient, X_i: expression value of corresponding molecule, n = 22). Following that, patients were stratified into a high- and low-risk group according to the median risk score. A ROC (receiver operator characteristic) curve and multivariate Cox regression were also used to evaluate its prognostic performance and independent prognostic efficiency.