Predictive Value of Serum Autotaxin for Hepatocellular Carcinoma Recurrence After Curative Radiofrequency Ablation

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Authors: Takanobu Iwadare, Hiroyuki Kobayashi, Takefumi Kimura, Taiki Okumura, T. Nakajima, Shun‐ichi Wakabayashi, Yūki Yamashita, Naoyuki Fujimori, Hideo Kunimoto, Satoshi Shimamoto, Koji Igarashi, Takuro Uchida
+2 more Takeji Umemura, Naoki Tanaka
Cited by: 0
References: 30

Abstract

BACKGROUND: Despite recent treatment advancements, the high recurrence rate of hepatocellular carcinoma (HCC) following curative therapy remains a significant challenge. Autotaxin (ATX) is a key biomarker in chronic liver disease that has a yet unclarified role in predicting HCC recurrence. This study examined whether precurative radiofrequency ablation (RFA) serum ATX level could serve as a predictor of HCC recurrence after treatment. METHODS: Fifty-six HCC patients (37 [66%] male; median age: 74 years) treated by curative RFA were retrospectively analyzed. RESULTS: Twenty-one patients experienced HCC recurrence during follow-up. ATX demonstrated superior predictive performance for HCC recurrence after RFA, with an area under the receiver operating characteristic curve of 0.729, sensitivity of 0.857, and specificity of 0.629. Kaplan-Meier analysis revealed that patients with high ATX had a significantly higher incidence of HCC recurrence than those with low ATX (p = 0.0006). In univariate analysis, the significant predictors of HCC recurrence included ATX (≥ 1.323 mg/L; hazard ratio [HR]: 6.49; 95% confidence interval [CI]: 1.90-22.13; p = 0.003), fibrosis-4 index (≥ 3.524; HR: 2.75; 95% CI: 1.00-7.55; p = 0.050), and mac-2 binding protein glycosylation isomer (≥ 3.85; HR: 2.12; 95% CI: 1.08-4.19; p = 0.030). According to multivariate Cox proportional hazards analysis with seven different models adjusting for age and various established biomarkers, ATX consistently emerged as the only significant independent predictor of HCC recurrence, with HR values ranging from 6.38 to 10.50 (all p < 0.05). CONCLUSION: Serum ATX is a promising biomarker for predicting HCC recurrence post-RFA treatment that may outperform conventional markers.

Fields of Study & Subjects

Sphingolipid Metabolism and Signaling Caveolin-1 and cellular processes Intracerebral and Subarachnoid Hemorrhage Research

Publication details

Journal / source
Cancer Medicine
Volume
15
Issue
1
Pages
e71506–e71506
Publication date
1 January 2026
Language
EN