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©The Author(s) 2024.
World J Clin Cases. Aug 26, 2024; 12(24): 5568-5582
Published online Aug 26, 2024. doi: 10.12998/wjcc.v12.i24.5568
Published online Aug 26, 2024. doi: 10.12998/wjcc.v12.i24.5568
Figure 4 Evaluation and validation of risk model.
A and B: Based on the Cancer Genome Atlas (TCGA)-Hepatocellular carcinoma (HCC) and GSE25097 datasets, the risk score was higher in the HCC samples; C: Relationship of risk score with age; D: Relationship of risk score with sex; E: Relationship of risk score with grade; F: Relationship of risk score with pathological stage; G: Receiver operating characteristic (ROC) curve of the risk score in the TCGA-HCC; H: ROC curve of the risk score in the GSE25097 datasets for distinguishing HCC and normal samples. S1 + S2: Stage I and stage II; S3 + S4: Stage III and stage IV. AUC: Area under the curve; CI: Confidence interval.
- Citation: Yu TY, Zhan ZJ, Lin Q, Huang ZH. Computed tomography-based radiomics predicts the fibroblast-related gene EZH2 expression level and survival of hepatocellular carcinoma. World J Clin Cases 2024; 12(24): 5568-5582
- URL: https://www.wjgnet.com/2307-8960/full/v12/i24/5568.htm
- DOI: https://dx.doi.org/10.12998/wjcc.v12.i24.5568