ArticleExperimental and clinical transplantation : official journal of the Middle East Society for Organ Transplantation2020
Accuracy of Milan, University of California San Francisco, and Up-To-7 Criteria in Predicting Tumor Recurrence Following Deceased-Donor Liver Transplant in Patients With Hepatocellular Carcinoma.
Article in Experimental and clinical transplantation : official journal of the Middle East Society for Organ Transplantation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Hepatocellular Carcinoma Recurrence After Liver Transplantation: Current Insights and Future Directions.Journal of clinical medicine · 2025Review
- Nutritional therapy for hepatocellular carcinoma.World journal of gastrointestinal oncology · 2021Review
- Utility of Inflammatory Markers in Predicting Hepatocellular Carcinoma Survival after Liver Transplantation.BioMed research international · 2019Article
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15 authors.
Funding
Abstract
objectivesWe aimed to investigate the accuracy of the Milan, University of California San Francisco, and Up-to-7 criteria in predicting tumor recurrence after liver transplant for hepatocellular carcinoma. MATERIALS AND
methodsFor this study, 165 patients with deceased-donor liver transplant for hepatocellular carcinoma were evaluated. The Milan, University of California San Francisco, and Up-to-7 criteria were calculated based on explant pathology.
resultsTumor recurrence rate after liver transplant was 14.6%. Of 165 patients, 115 (70%) were within Milan, 131 (79%) were within University of California San Francisco, and 135 (82%) were within Up-to-7 criteria. The odds ratio of tumor recurrence in patients outside versus within criteria for Milan, University of California San Francisco, and Up-to-7 was 3.6 (95% confidence interval, 1.5-9.1; P = .005), 7.5 (95% confidence interval, 2.5-19.3; P < .001), and 7.5 (95% confidence interval, 2.9-19.6; P < .001) times higher, respectively. The sensitivity of being outside of Milan in predicting tumor recurrence was comparable to University of California San Francisco and Up-to-7 criteria (56.5%, 56.5%, and 52.2%, respectively). Specificity was highest in Up-to-7 (87.3%) versus 85.2% for University of California San Francisco and 73.9% for Milan criteria. The area under the curve for Milan, University of California San Francisco, and Up-to-7 criteria was 0.63, 0.65, and 0.63.
conclusionsApplication of standard criteria has significantly improved prediction of hepatocellular carcinoma recurrence. However, these criteria are inadequate, supporting the importance of other factors, including tumor biology. Research is ongoing in discovering novel biomarkers as predictors of tumor recurrence.
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