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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 2. Univariate Logistic Regression Analysis
| Characteristics | Total (N) | OR (95% CI) | P value |
| Pathologic T stage (T2&T3&T4 vs. T1) | 371 | 1.941 (1.285 – 2.933) | 0.002 |
| Pathologic N stage (N1 vs. N0) | 258 | 2.687 (0.276 – 26.173) | 0.395 |
| Pathologic M stage (M1 vs. M0) | 272 | 0.314 (0.032 – 3.057) | 0.318 |
| Gender (Female vs. Male) | 374 | 1.375 (0.890 – 2.125) | 0.151 |
| Age (> 60 vs. <= 60) | 373 | 0.816 (0.543 – 1.225) | 0.326 |
| BMI (> 25 vs. <= 25) | 337 | 0.739 (0.481 – 1.135) | 0.167 |
| AFP(ng/ml) (> 400 vs. <= 400) | 280 | 3.697 (2.014 – 6.785) | < 0.001 |
| Albumin(g/dl) (>= 3.5 vs. < 3.5) | 300 | 1.254 (0.728 – 2.159) | 0.414 |
| Prothrombin time (> 4 vs. <= 4) | 297 | 1.119 (0.681 – 1.839) | 0.658 |
| Vascular invasion (Yes vs. No) | 318 | 1.459 (0.917 – 2.320) | 0.111 |