Research Paper Volume 15, Issue 24 pp 15084—15113

Figure 2. Construction of CMscore. (A) Venn diagram indicating 13 copper metabolism-related genes with prognostic significance less than 0.1 in GSE14520 and TCGA-LIHC datasets. (B, C) The LASSO Cox regression model was constructed from 13 copper metabolism-related genes. The tuning parameter (λ) was calculated based on the partial likelihood deviance with ten-fold cross validation. An optimal log λ value shown by the vertical black dot-lines in the plots. The six signature genes were identified according to the best fit profile. (D) The distribution and optimal cutoff value of CMscore, the OS status of each sample, and the expression value of the six crucial genes in the GSE14520 dataset. (E) The box plot showing the expression of six crucial genes in tumor and normal livers from the GSE14520 datasets. (F, G) The 2D (F) and 3D (G) plots of the PCA of the GSE14520 dataset based on the expression profiles of the 6 signature genes. (H) The prognostic significance of CMscore in GSE14520. The Kaplan-Meier method was used for prognosis analysis. (I) Time-dependent ROC analyses of the CMscore regarding the OS and survival status in the GSE14520 dataset. (J) The prognostic significance of CMscore in TCGA-LIHC. The Kaplan-Meier method was used for prognosis analysis. (K) Time-dependent ROC analyses of the CMscore regarding the OS and survival status in the TCGA-LIHC dataset. P-values were shown as *p < 0.05, **p < 0.01, ***p < 0.001, and ****p < 0.0001.