A Prognostic Model To Predict Survival After Recurrence Among Patients With Recurrent Hepatocellular Carcinoma

Author:

Moazzam Zorays1,Alaimo Laura12,Endo Yutaka1,Lima Henrique A.1,Woldesenbet Selamawit1,Rueda Belisario Ortiz1,Yang Jason1,Ratti Francesca3,Marques Hugo P.4,Cauchy Francois5,Lam Vincent6,Poultsides George A.7,Popescu Irinel8,Alexandrescu Sorin8,Martel Guillaume9,Guglielmi Alfredo2,Hugh Tom10,Aldrighetti Luca3,Shen Feng11,Endo Itaru12,Pawlik Timothy M.1

Affiliation:

1. Department of Surgery, The Ohio State University Wexner Medical Center and James Comprehensive Cancer Center, Columbus, OH

2. Department of Surgery, University of Verona, Verona, Italy

3. Department of Surgery, Ospedale San Raffaele, Milan, Italy

4. Department of Surgery, Curry Cabral Hospital, Lisbon, Portugal

5. Department of Hepatobiliopancreatic Surgery, APHP, Beaujon Hospital, Clichy, France

6. Department of Surgery, Westmead Hospital, Sydney, NSW, Australia

7. Department of Surgery, Stanford University, Stanford, CA

8. Department of Surgery, Fundeni Clinical Institute, Bucharest, Romania

9. Department of Surgery, University of Ottawa, Ottawa, ON, Canada

10. Department of Surgery, School of Medicine, The University of Sydney, Sydney, NSW, Australia

11. The Eastern Hepatobiliary Surgery Hospital, Second Military Medical University, Shanghai, China

12. Yokohama City University School of Medicine, Yokohama, Japan

Abstract

Objective: We sought to develop and validate a preoperative model to predict survival after recurrence (SAR) in hepatocellular carcinoma (HCC). Background: Although HCC is characterized by recurrence as high as 60%, models to predict outcomes after recurrence remain relatively unexplored. Methods: Patients who developed recurrent HCC between 2000 and 2020 were identified from an international multi-institutional database. Clinicopathologic data on primary disease and laboratory and radiologic imaging data on recurrent disease were collected. Multivariable Cox regression analysis and internal bootstrap validation (5000 repetitions) were used to develop and validate the SARScore. Optimal Survival Tree analysis was used to characterize SAR among patients treated with various treatment modalities. Results: Among 497 patients who developed recurrent HCC, median SAR was 41.2 months (95% CI 38.1–52.0). The presence of cirrhosis, number of primary tumors, primary macrovascular invasion, primary R1 resection margin, AFP>400 ng/mL on the diagnosis of recurrent disease, radiologic extrahepatic recurrence, radiologic size and number of recurrent lesions, radiologic recurrent bilobar disease, and early recurrence (≤24 months) were included in the model. The SARScore successfully stratified 1-, 3- and 5-year SAR and demonstrated strong discriminatory ability (3-year AUC: 0.75, 95% CI 0.70–0.79). While a subset of patients benefitted from resection/ablation, Optimal Survival Tree analysis revealed that patients with high SARScore disease had the worst outcomes (5-year AUC; training: 0.79 vs. testing: 0.71). The SARScore model was made available online for ease of use and clinical applicability (https://yutaka-endo.shinyapps.io/SARScore/). Conclusion: The SARScore demonstrated strong discriminatory ability and may be a clinically useful tool to help stratify risk and guide treatment for patients with recurrent HCC.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Surgery

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Is Cell-Free DNA Testing in Hepatocellular Carcinoma Ready for Prime Time?;International Journal of Molecular Sciences;2023-09-18

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