Table 1.
Predictors of immunophenotypic group based on logistic regression analysis.
| Group I | Group II | Group III | |||||||
|---|---|---|---|---|---|---|---|---|---|
| Coef. | SE | p-value | Coef. | SE | p-value | Coef. | SE | p-value | |
| APC | −0.166 | 0.235 | 0.480 | 0.104 | 0.228 | 0.649 | −0.279 | 0.225 | 0.215 |
| CTNNB1 | −0.019 | 0.229 | 0.935 | 0.114 | 0.230 | 0.620 | −0.015 | 0.217 | 0.944 |
| WNT1 | 2.240 | 1.226 | 0.068 | 2.130 | 1.242 | 0.086 | 2.117 | 1.225 | 0.084 |
| WNT2 | 0.970 | 0.410 | 0.018* | 0.967 | 0.425 | 0.023* | 0.331 | 0.437 | 0.449 |
| WNT3A | 0.141 | 0.235 | 0.547 | −0.146 | 0.291 | 0.615 | −0.032 | 0.237 | 0.891 |
| WNT5A | 0.232 | 0.277 | 0.401 | −0.607 | 0.329 | 0.065 | 0.078 | 0.246 | 0.751 |
| WNT7A | −0.323 | 0.303 | 0.286 | −0.501 | 0.316 | 0.113 | −0.828 | 0.402 | 0.039* |
| TGFB1 | 1.030 | 0.409 | 0.012* | 1.341 | 0.421 | 0.001** | 0.736 | 0.418 | 0.079 |
| TGFB2 | −0.232 | 0.179 | 0.195 | −0.242 | 0.200 | 0.226 | −0.318 | 0.219 | 0.145 |
| TGFB3 | 0.097 | 0.355 | 0.785 | −0.098 | 0.385 | 0.799 | −0.034 | 0.390 | 0.930 |
| VEGFA | 0.203 | 0.234 | 0.385 | 0.321 | 0.235 | 0.172 | 0.312 | 0.216 | 0.148 |
A multinomial logistic regression model showed that WNT2 and TGFB1 had the strongest influence on determining group identity, using Group IV as a baseline. This table lists regression coefficients (Coef.) and standard errors (SE), *p < 0.05, **p < 0.01.