A BCLC-based prognostic nomogram for hepatocellular carcinoma: Development and validation

This study aimed to improve prognostic prediction for hepatocellular carcinoma by incorporating additional clinical factors into the Barcelona Clinic Liver Cancer staging system. A nomogram was developed using retrospective data from 536 patients and validated in an independent cohort of 102 patients. Independent prognostic factors identified by Cox regression included age, alpha-fetoprotein, gamma-glutamyl transpeptidase, and the Barcelona Clinic Liver Cancer stage. The nomogram showed superior discrimination and calibration compared with the staging system alone, with consistent results in the validation cohort. This tool enables more individualized survival estimation and may assist in clinical decision-making for patients with hepatocellular carcinoma.

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Publication Details

Journal
iScience
Published
2026-04-17
DOI
https://doi.org/10.1016/j.isci.2026.115806
Primary Topic
Hepatocellular Carcinoma Treatment and Prognosis
Type
article
Field-Weighted Citation Impact
0.00

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article

A BCLC-based prognostic nomogram for hepatocellular carcinoma: Development and validation

Di Sun, Ming-Cheng Guan, Bao-Hua Zhang, Xin-Cheng He et al.
iScience
Hepatocellular Carcinoma Treatment and Prognosis
article

A BCLC-based prognostic nomogram for hepatocellular carcinoma: Development and validation

Di Sun, Ming-Cheng Guan, Bao-Hua Zhang, Xin-Cheng He, Ji Wang, Hong Zhu, Na Li
article en

Abstract

This study aimed to improve prognostic prediction for hepatocellular carcinoma by incorporating additional clinical factors into the Barcelona Clinic Liver Cancer staging system. A nomogram was developed using retrospective data from 536 patients and validated in an independent cohort of 102 patients. Independent prognostic factors identified by Cox regression included age, alpha-fetoprotein, gamma-glutamyl transpeptidase, and the Barcelona Clinic Liver Cancer stage. The nomogram showed superior discrimination and calibration compared with the staging system alone, with consistent results in the validation cohort. This tool enables more individualized survival estimation and may assist in clinical decision-making for patients with hepatocellular carcinoma.

iScienceVol. 29(5)
Jiangnan University (CN), Soochow University (CN), Wuxi Fourth People's Hospital (CN), Second Affiliated Hospital of Soochow University (CN), First Affiliated Hospital of Soochow University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 32%
Hepatocellular Carcinoma Treatment and Prognosis
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A BCLC-based prognostic nomogram for hepatocellular carcinoma: Development and validation — Di Sun, Ming-Cheng Guan, et al. · iScience (2026) | TGRS Research Map | TGRS