Validation of a new prognostic staging system for hepatocellular carcinoma: a comparison of the biomarker-combined Japan Integrated Staging Score, the conventional Japan Integrated Staging Score and the BALAD Score

Oncology. 2008:75 Suppl 1:83-90. doi: 10.1159/000173428. Epub 2008 Dec 17.

Abstract

Objectives: The conventional Japan Integrated Staging (c-JIS) score has been reported to effectively stratify patients with hepatocellular carcinoma (HCC). Recently, two new staging systems, the biomarker-combined JIS (bm-JIS) score and the BALAD score, have been proposed. Both staging systems include three tumor markers: alpha-fetoprotein (AFP), lens culinaris agglutinin-reactive AFP and des-gamma-carboxy prothrombin specific for HCC. The aim of this study is to evaluate the performance of these three staging systems.

Methods: A total of 1,173 HCC patients were included in this study. The stratification ability and prognostic predictive power were compared between these three staging systems.

Results: These three staging systems effectively predicted the patient survival. When accounting for the best prognostic subgroup of each staging systems (i.e. score of 0), there were significant differences between the bm-JIS score and the BALAD score and, likewise, between the c-JIS score and the BALAD score. The likelihood ratio chi(2) test showed the highest value and the Akaike information criterion value was lowest in the bm-JIS score.

Conclusions: The bm-JIS score showed good stratification ability and was thus demonstrated to be a better predictor of the prognosis than the c-JIS score and the BALAD score, especially for the patients with a good prognosis.

Publication types

  • Comparative Study
  • Validation Study

MeSH terms

  • Adult
  • Aged
  • Aged, 80 and over
  • Biomarkers, Tumor / analysis
  • Carcinoma, Hepatocellular / pathology*
  • Female
  • Humans
  • Japan
  • Liver Neoplasms / pathology*
  • Male
  • Middle Aged
  • Neoplasm Staging / methods*
  • Predictive Value of Tests
  • Prognosis

Substances

  • Biomarkers, Tumor