Cox regression models of NCS for both overall survival (OS) and disease-free survival (DFS) in Italian and Japanese cohorts
| Cohort | Survival | Log-rank test | Likelihood ratio test | HR | 95% CI | Confounders |
| Italian | OS | 4.52e-08 | 6.63e-06 | 0.313 | (0.189 to 0.518) | AlphaFP, CHILD, multinodularity |
| Italian | DFS | 0.0261 | 0.285 | 0.791 | (0.515 to 1.22) | Multinodularity |
| Japanese | OS | 0.0091 | 0.0203 | 0.544 | (0.325 to 0.91) | Age |
| Japanese | DFS | 0.00837 | 0.0778 | 0.704 | (0.476 to 1.04) | BCLC |
The models are evaluated in terms of: (1) p-value from log-rank test assessing the fit performance of the whole model including both NCS and confounders; (2) p-value from likelihood ratio test assessing the statistical significance of the specific coefficient estimated for NCS in the model, used to derive the corresponding HR with the related 95% CI. The confounders reported in the last column are those selected for the final model after the step-down selection procedure described in the Materials and methods section.
AlphaFP, alpha-fetoprotein tumor marker; BCLC, Barcelona Clinic Liver Cancer Staging System; CHILD, Child-Pugh Staging System; NCS, necroptosis core score.