Figure 1.

Construction and validation of an autophagy-related long non-coding RNA (lncRNA) prognostic signature in the training cohort. The forest map showed that 9 autophagy-related lncRNAs might be correlated with overall survival based on the Kaplan–Meier (KM) method and univariate Cox regression analysis (A). The KM survival analysis showed that patients in the high-risk group had a shorter overall survival time (B). Principal component analysis (PCA) showed that the high- and low-risk patients were located in two distinct distribution clusters; the red dots represented high-risk patients, whereas the blue dots represented low-risk patients (C). The time-dependent receiver-operating characteristic (ROC) curve showed that the area under the ROC curve (AUC) value for the prognostic signature was 0.728 (D). The distribution of risk scores between low- and high-risk groups; The red dots represented high-risk patients, whereas the green dots represented low-risk patients (E). The scatter plot showed the relationship between the risk score and survival time; the red dots represented high-risk patients, whereas the green dots represented low-risk patients (F).