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Bioinformatic Analysis of GCN1 as a Novel Diagnostic and Prognostic Biomarker in Hepatocellular Carcinoma and Preliminary Exploration of Its Molecular Mechanisms
World Journal of Cancer and Oncology Research
| Vol 4, Issue 1
Table 3. Univariate and Multivariate Cox RegressionResults
| Characteristics | HR (95% CI) | P value |
| a. | ||
| Pathologic T stage (T2&T3&T4VS.T1) | 2.126 (1.481 - 3.052) | < 0.001 |
| Pathologic N stage (N1 VS. N0) | 2.029 (0.497 - 8.281) | 0.324 |
| Pathologic M stage (M1 VS. M0) | 4.077 (1.281 - 12.973) | 0.017 |
| Gender (Female VS. Male) | 1.261 (0.885 - 1.796) | 0.200 |
| Age (> 60 VS.<= 60) | 1.205 (0.850 - 1.708) | 0.295 |
| BMI (> 25 VS.<= 25) | 0.798 (0.550 - 1.158) | 0.235 |
| AFP (ng/ml) (> 400 VS.<= 400) | 1.075 (0.658 - 1.759) | 0.772 |
| Albumin(g/dl) (>= 3.5 VS.< 3.5) | 0.897 (0.549 - 1.464) | 0.662 |
| Prothrombin time (> 4 VS.<= 4) | 1.335 (0.881 - 2.023) | 0.174 |
| Vascular invasion (Yes VS. No) | 1.344 (0.887 - 2.035) | 0.163 |
| GCN1 expression (High VS. Low) | 1.604 (1.133 - 2.271) | 0.008 |
| b. | ||
| Pathologic T stage (T2&T3&T4VS.T1) | 2.010 (1.395 - 2.897) | < 0.001 |
| GCN1 expression (High VS. Low) | 1.454 (1.021 - 2.070) | 0.038 |