2 years is a reasonable age cut-off level for prognostic assessment of children with hepatoblastoma

Eur Rev Med Pharmacol Sci. 2023 Nov;27(21):10553-10562. doi: 10.26355/eurrev_202311_34333.

Abstract

Objective: We aimed to elucidate the prognostic significance of age in hepatoblastoma patients.

Patients and methods: Data from 783 patients with hepatoblastoma were obtained from the Surveillance, Epidemiology and End Results database (2000-2018). The best age cut-off level was determined by X-tile, and the Kaplan-Meier method was used to estimate overall survival (OS) and cancer-specific survival (CSS). The results of the X-tile were verified by selecting the appropriate cut-off value to maximize the difference in survival outcomes at intervals of 1 year. The Cox regression model was used to determine the prognostic impact of risk factors and age.

Results: X-tile analysis determined that 2 years was the best cut-off age for OS and CSS. The overall prognosis in the ≥ 2 years group was worse than that in the < 2 years group (OS: p = 0.00017; CSS: p < 0.0001). In Cox univariate analysis, when 2 years was used as the standard group, the numbers of patients in the two groups were similar, with high hazard ratio (HR) value and narrow 95% confidence interval (CI) (OS: HR, 1.834; 95% CI, 1.329 - 2.532; p < 0.001; CSS: HR, 1.988; 95% CI, 1.410 - 2.801; p < 0.001), which was consistent with the age cut-off point determined by X-tile. Cox multivariate analysis showed that age ≥ 2 years, black ethnicity, no surgery, no chemotherapy, distant metastasis, and tumor size ≥ 5 cm were independent predictors of poor OS and CSS. On subgroup analysis, patients aged ≥ 2 years had worse survival if they were Caucasian, had elevated alpha-fetoprotein, tumor size ≥ 5 cm, or distant metastasis.

Conclusions: Age is an important prognostic factor for hepatoblastoma. Age ≥ 2 years at diagnosis may predict poor prognosis and more active treatment measures can be implemented.

MeSH terms

  • Child
  • Hepatoblastoma* / diagnosis
  • Humans
  • Liver Neoplasms* / diagnosis
  • Prognosis
  • Proportional Hazards Models
  • SEER Program