Research Paper Volume 16, Issue 11 pp 10142—10164
Prognostic implication and immunotherapy response prediction of a novel ubiquitination-related gene signature in liver cancer
Figure 3. Creation of a signature related to ubiquitination from four genes in various clusters of HCC patients. LASSO Cox regression analysis penalizes genes that are expressed differentially (DEGs). (A, B) Cross-validation of potential genes using the lowest lambda value. (C) The risk score determines the survival time and status of every patient with HCC. (D) The expression of the four URGs in the low- and high-risk groups can be visualized through a heatmap. (E, F) Analysis of the signature using principal component analysis (PCA) and t-distributed stochastic neighbor embedding (t-SNE) was performed. (G) Comparative analysis of survival rates in two different risk subcategories. (H) The accuracy of the signature can be evaluated by analyzing the ROC curves for 1, 3, and 5 years.