Published online Jan 7, 2027. doi: 10.3748/wjg.122971
Revised: July 3, 2026
Accepted: July 29, 2026
Published online: January 7, 2027
Processing time: 189 Days and 20.5 Hours
Nutritional, immune, and inflammatory status of patients are closely associated with tumor progression and prognosis. However, comprehensive prognostic indicators that integrates nutritional, immune, and inflammatory status remain limited in hepatocellular carcinoma (HCC) patients after liver transplantation (LT).
To develop a composite index prognostic immune-inflammatory-nutritional (PIIN) score and evaluating its predictive value for post-LT prognosis in HCC patients.
This study adopted a retrospective cohort study design and included 269 HCC patients underwent LT. Nutritional, immune, and inflammatory indexes were integrated to construct the PIIN score using least absolute shrinkage and selection operator regression. A predictive nomogram was subsequently established by incorporating the PIIN score and clinicopathological variables, which was intended for perioperative or postoperative risk stratification. Its performance was evaluated using calibration curves, time-dependent receiver operating characteristic analysis, the concordance index, and decision curve analysis.
Neutrophil-to-lymphocyte ratio, prognostic nutritional index, platelet-to-lymphocyte ratio, systemic immune-inflammation index and systemic inflammation response index were identified to construct PIIN score. Patients with high PIIN score had significantly worse overall survival (OS) and disease-free survival (DFS) than those with low PIIN score in both training and validation cohorts after stratified according to the training-set-derived cutoff value of the PIIN score. Multivariable analysis confirmed PIIN score as an independent prognostic factor for OS [hazard ratio (HR) = 3.277, 95% confidence interval (CI): 2.270-4.731; P < 0.001] and DFS (HR = 3.007, 95%CI: 2.099-4.307; P < 0.001) in both training and validation cohort. A PIIN-based nomogram incorporating PIIN score, tumor number, tumor size, alpha fetoprotein and differentiation was developed, showing favorable discrimination, calibration, and clinical utility, with better predictive performance than conventional criteria.
PIIN score may help predict post-transplant outcomes in HCC patients. A PIIN-based model incorporating PIIN score and clinicopathological indexes may serve as a potentially useful tool for risk stratification.
Core Tip: Although nutritional, immune and inflammatory status affect hepatocellular carcinoma (HCC) prognosis, com