Bioinformatic Analysis of GCN1 as a Novel Diagnostic and Prognostic Biomarker in Hepatocellular Carcinoma and Preliminary Exploration of Its Molecular Mechanisms
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 |
|
|
|
|
