Development and validation of a nomogram for predicting postoperative survival in patients with multifocal hepatocellular carcinoma
- Open Access
- 01-12-2025
- Hepatocellular Carcinoma
- Research
- Authors
- Bojun Liu
- Gongming Zhang
- Guangming Li
- Published in
- Discover Oncology | Issue 1/2025
Abstract
Background
Hepatocellular carcinoma (HCC) is the fifth most common malignant tumor and the third leading cause of cancer-related death worldwide. Despite the significance of multifocality in HCC (M-HCC), most studies have predominantly treated it as a prognostic factor, lacking in-depth investigation into its prognostic implications. This retrospective study aims to integrate clinical and laboratory examinations to construct a predictive model that more accurately forecasts the prognosis of patients with M-HCC. This aims to guide personalized treatment strategies and improve overall survival rates.
Methods
We applied the Lasso and cross-validated Lasso (CV-Lasso) combined with Random Forest analysis to explore the prognostic factors influencing M-HCC. Simultaneously, we utilized the identified prognostic factors to construct a Nomogram. This Nomogram assigns scores based on the magnitude of the impact of each factor on prognosis, enabling the prediction of postoperative survival rates for patients. Subsequently, the model-derived risk scores categorized patients into low-risk and high-risk groups, and Kaplan–Meier curves were generated.
Results
The patients, who were enrolled, were divided into training and validation sets. Factors influencing the prognosis of M-HCC were identified through Lasso, cross-validated Lasso, and Random Forest analyses, revealing seven key factors: Age, Antiviral, Child–Pugh, Cirrhosis, White Blood Cell (WBC), Platelets (PLT), and Thrombin Time (TT). Nomograms were constructed based on these factors to predict 3-year, 5-year, and 8-year survival rates. ROC curves confirmed the predictive capability of various factors, with larger areas under the curve at 5 (AUC = 0.653) and 8 years (AUC = 0.733). Kaplan–Meier curves stratified patients into low-risk and high-risk groups, showing significantly higher survival times in the low-risk group (p < 0.0001).
Conclusions
Postoperative antiviral treatment for patients with M-HCC, aimed at enhancing immune function and protecting liver function, has been shown to extend patient survival. Simultaneously, factors such as Child–Pugh, age, and Cirrhosis in patients with M-HCC have been associated with a decrease in postoperative survival time.
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- Title
- Development and validation of a nomogram for predicting postoperative survival in patients with multifocal hepatocellular carcinoma
- Authors
-
Bojun Liu
Gongming Zhang
Guangming Li
- Publication date
- 01-12-2025
- Publisher
- Springer US
- Published in
-
Discover Oncology / Issue 1/2025
Print ISSN: 1868-8497
Electronic ISSN: 2730-6011 - DOI
- https://doi.org/10.1007/s12672-025-03812-5
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