A novel prognostic score model based on combining systemic and hepatic inflammation markers in the prognosis of HBV-associated hepatocellular carcinoma patients

Abstract

Objectives: The study aimed to evaluate the prognostic value of systemic inflammation markers [neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), Prognostic Nutritional Index (PNI)] and hepatic inflammation markers [aspartate aminotransferase-to-platelet ratio index (APRI), γ-glutamyl transferase (γ-GT)/alanine aminotransferase (ALT)] in patients with hepatitis B virus (HBV)-associated hepatocellular carcinoma (HCC) and further to develop a novel prognostic score model. Methods: A total of 401 cases with HBV-associated HCC who underwent hepatectomy as initial therapy were included in the analysis. Kaplan–Meier was performed to construct survival curves and receiver operating characteristic (ROC) analysis was used to detect the optimal cut-off value of markers. The prognostic score model was constructed using significant inflammation markers in the Cox model. Each factor was given a score of 1 and patients were stratified according to the scores. Results: In the Cox model, α-fetoprotein (AFP), ALT, tumour differentiation, maximum size of tumours, TNM stage, PNI and γ-GT/ALT were independently prognostic factors. We established a preoperative inflammation-based prognostic scoring model combining PNI and γ-GT/ALT. The novel preoperative inflammation-based prognostic score was superior (area under the curve [AUC], 0.659) to 7th tumour-node-metastasis (TNM) stage (AUC, 0.600) despite no statistical significance (p =.1036). Conclusion: PNI and γ-GT/ALT are independent predictors for prognosis. The novel prognostic score model based on systemic and hepatic inflammation markers is suitable for the prognosis evaluation in patients with HBV-associated HCC.