Construction and validation of a Novel SERGs signature
cancer, breast cancer
CANCER, BREAST CANCER
Univariate Cox analysis of overall survival (OS) was conducted to screen for SERGs with prognostic value and visualized by forest plots (
After that, patients in training set were divided into low-risk and high-risk groups with the median value of risk score as the threshold value, and the OS between groups were compared by Kaplan-Meier (KM) analysis. Then, time-dependent receiver operating characteristic (ROC) curve analysis was performed with “survivalROC” R package to evaluate the predictive accuracy of the SERGs signature. In order to validate the prognostic model, the risk score for every breast cancer patient in testing set was also calculated in accordance with the same formula as training set, and patients in testing set were further divided into low-risk and high-risk groups according to the median value of risk score (median value of the testing set was different from the threshold from the training set).DNA methylation plays a key role in prognostic assessment and potential biomarkers for cancer development [