Research Article
Identification of Prognostic lncRNA Related to the Immune Microenvironment of Soft Tissue Sarcoma
Figure 5
Establishment of the Cox regression model of disease-free survival (DFS). (a) Univariate Cox analysis of overall survival- (OS-) related variables (Supplementary document 3). (b, c) Least absolute shrinkage and selection operator (LASSO) regression was used to construct a predictive model to select the optimal lncRNA related to DFS. (d) Survival analysis of the prognostic model. The upper part shows the K-M curve of the high- and low-risk groups; the bottom part shows the change in the number of surviving patients in the high- and low-risk groups over time. Yellow represents high-risk groups, and blue represents low-risk groups. (e) The receiver operating characteristic (ROC) curve of the forecast model at 3, 5, and 7 years. Red represents 3 years, green represents 5 years, and blue represents 7 years.
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