Affiliation:
1. Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai 200032, China
2. National Clinical Research Center for Interventional Medicine, Shanghai 200032, China
Abstract
Albumin to gamma-glutamyltransferase ratio (AGR) is a newly developed biomarker for the prediction of patients’ prognosis in solid tumors. The purpose of the study was to establish a novel AGR-based nomogram to predict tumor prognosis in patients with early-stage HCC undergoing radiofrequency ablation (RFA). 394 hepatocellular carcinoma (HCC) patients who had received RFA as initial treatment were classified into the training cohort and validation cohort. Independent prognostic factors were identified by univariate and multivariate analyses. The value of AGR was evaluated by the concordance index (
-index), receiver operating characteristic (ROC) curves, and likelihood ratio tests (LAT). Logistic regression and nomogram were performed to establish the pretreatment scoring model based on the clinical variables. As a result,
was identified as the best cutoff value to predict overall survival (OS) in the training cohort. According to the results of multivariate analysis, AGR was an independent indicator for OS and recurrence-free survival (RFS). In both training cohort and validation cohort, the high-AGR group showed better RFS and OS than the low-AGR group. What is more, the
-index, area under the ROC curves, and LAT
values suggested that AGR outperformed the Child-Pugh (CP) grade and albumin-bilirubin (ALBI) grade in terms of predicting OS. The AGR, AKP, and tumor size were used to establish the OS nomogram. Besides, the results of Hosmer-Lemeshow test and calibration curve analysis displayed that both nomograms in the training and validation cohorts performed well in terms of calibration. Therefore, the AGR-based nomogram can predict the postoperative prognosis of early HCC patients undergoing RFA.
Funder
National Clinical Research Center for Interventional Medicine
Subject
Biochemistry, medical,Clinical Biochemistry,Genetics,Molecular Biology,General Medicine
Cited by
3 articles.
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