已发表论文

用于预测肝细胞癌极早期复发的ANT评分列线图

 

Authors Yu Z, Wang H, Huo Q, Cao W, Jin L, Liu J, Wei F 

Received 28 July 2025

Accepted for publication 25 October 2025

Published 5 November 2025 Volume 2025:12 Pages 2477—2490

DOI https://doi.org/10.2147/JHC.S556733

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 2

Editor who approved publication: Dr Mohamed Shaker

Zichen Yu,1,2 Hanyu Wang,1,3 Qiang Huo,4 Wenli Cao,1,3 Liming Jin,1 Jie Liu,1 Fangqiang Wei1 

1Department of General Surgery, Cancer Center, Division of Hepatobiliary and Pancreatic Surgery, Zhejiang Provincial People’s Hospital, Affiliated People’s Hospital, Hangzhou Medical College, Hangzhou, Zhejiang Province, 310014, People’s Republic of China; 2Department of Postgraduate Training Base Alliance of Wenzhou Medical University, Wenzhou, Zhejiang Province, People’s Republic of China; 3Department of Public Health, Hangzhou Medical College, Hangzhou, Zhejiang Province, 310059, People’s Republic of China; 4Department of General Surgery, Zhoushan Dinghai Central Hospital, Dinghai District of Zhejiang Provincial People’s Hospital, Zhoushan, Zhejiang Province, 316000, People’s Republic of China

Correspondence: Fangqiang Wei, Department of General Surgery, Cancer center, Division of Hepatobiliary and Pancreatic Surgery, Zhejiang Provincial People’s Hospital, Affiliated People’s Hospital, Hangzhou Medical College, Hangzhou, Zhejiang Province, 310014, People’s Republic of China, Email wdfwfq@126.com

Background: Very early recurrence (VER), defined as recurrence within one year after curative resection of hepatocellular carcinoma (HCC), significantly impacts long-term survival. This study aimed to develop and validate the ANT Score, a novel prognostic model integrating nutrition, inflammation, and tumor burden to refine VER prediction.
Methods: A retrospective cohort of HCC patients undergoing curative liver resection was analyzed. Key predictors were identified using least absolute shrinkage and selection operator (LASSO) regression and multivariate logistic regression, forming the ANT Score. Model performance was evaluated through receiver operating characteristic (ROC) curve analysis, DeLong’s test, calibration curves, and decision curve analysis (DCA). The prognostic value of capsule integrity was also assessed.
Results: Among 459 included patients, 118 (25.7%) experienced VER. Patients were randomly assigned to training (70%) and test (30%) cohorts. The ANT Score, comprising albumin-to-alkaline phosphatase ratio (AAPR), neutrophil-to-albumin ratio (NPAR), and tumor burden score (TBS), demonstrated superior predictive performance (area under the curve [AUC] = 0.751, 95% confidence interval: 0.669– 0.832, P < 0.05) compared to conventional markers. Capsule incompleteness was an independent risk factor but did not significantly enhance predictive accuracy (AUC = 0.76 vs 0.751, P > 0.05, DeLong test). The ANT Score-based nomogram exhibited excellent calibration and clinical utility in DCA.
Conclusion: The ANT Score is an independent and superior predictor of VER after curative HCC resection. The ANT Score-based nomogram showed promising predictive value, offering a practical tool for individualized risk assessment. External validation and prospective studies are warranted to further assess its clinical applicability.

Keywords: hepatocellular carcinoma, very early recurrence, ANT score, curative resection, model