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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
Table 1 Correlation between key genes and prognosis of hepatocellular carcinoma patients
Characteristic | Total, n | Univariate analysis | Multivariate analysis | ||
Hazard ratio (95%CI) | P value | Hazard ratio (95%CI) | P value | ||
ATIC | 339 | 1.042 (1.027-1.058) | < 0.001 | 1.011 (0.989-1.033) | 0.348 |
EZH2 | 339 | 1.196 (1.128-1.269) | < 0.001 | 1.087 (1.006-1.174) | 0.035 |
HDGF | 339 | 1.010 (1.006-1.014) | < 0.001 | 1.004 (0.999-1.026) | 0.104 |
HEXB | 339 | 1.027 (1.014-1.039) | < 0.001 | 1.013 (0.999-1.026) | 0.060 |
HSPA4 | 339 | 1.040 (1.023-1.058) | < 0.001 | 1.017 (0.996-1.039) | 0.117 |
NRAS | 339 | 1.066 (1.042-1.091) | < 0.001 | 1.031 (1.003-1.059) | 0.032 |
PPT1 | 339 | 1.030 (1.019-1.041) | < 0.001 | 1.004 (0.988-1.020) | 0.665 |
- 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