Research Paper Advance Articles

Figure 3. Model construction and evaluation of disease predictive value. (A–C) The dataset, comprising the overall, training, and testing sets, underwent stratification based on the risk score. Following this, samples were delineated into high-risk (depicted in red) and low-risk (depicted in blue) groups, utilizing the median risk score as the threshold. (D–F) The relationship between the risk score and both survival time and patient status was examined across the entire dataset, training set, and testing set. (G–I) Examination of the expression profiles of each Disulfidptosis-Associated LncRNA (DAL) was conducted, comparing high-risk and low-risk groups within the entire dataset, training set, and testing set. (J–L) Survival curves were juxtaposed between the high-risk and low-risk groups in the entire dataset, training set, and testing set to elucidate differences in survival outcomes. (M–O) Time-related Receiver Operating Characteristic (ROC) curve analysis was executed to appraise the predictive performance of the model across the entire dataset, training set, and testing set.