Prognostic Factors of Liver Transplantation for Hepatocellular Carcinoma: A Surveillance, Epidemiology, and End Results (SEER) Database Analysis
Objective We aimed to identify new, more accurate risk factors of liver transplantation for liver cancer through using the Surveillance, Epidemiology, and End Results (SEER) database. Methods Using the SEER database, we identified patients that had undergone surgical resection for non-metastatic hepatocellular carcinoma (HCC) and subsequent liver transplantation between 2010 and 2017. Overall survival (OS) was estimated using Kaplan-Meier plotter. Cox proportional hazards regression modelling was used to identify factors independently associated with recurrent disease [presented as adjusted hazard ratios (HR) with 95% CIs]. Results Totally, 1530 eligible patients were included in the analysis. There were significant differences in ethnicity (P=0.04), cancer stage (P<0.001), vascular invasion (P<0.001) and gall bladder involvement (P<0.001) between the groups that survived, died due to cancer, or died due to other causes. In the Cox regression model, there were no significant differences in OS at 5 years with different operative strategies (autotransplantation versus allotransplantation), nor at survival at 1 year with neoadjuvant radiotherapy. However, neoadjuvant radiotherapy did appear to improve survival at both 3 years (HR: 0.540, 95% CI: 0.326–0.896, P=0.017) and 5 years (HR: 0.338, 95% CI: 0.153–0.747, P=0.007) from diagnosis. Conclusion This study demonstrated differences in patient characteristics between prognostic groups after liver resection and transplantation for HCC. These criteria can be used to inform patient selection and consent in this setting. Preoperative radiotherapy may improve long-term survival post-transplantation..
| Medienart: |
Artikel |
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| Erscheinungsjahr: |
2023 |
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| Erschienen: |
2023 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:43 |
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| Enthalten in: |
Current medical science - 43(2023), 2 vom: Apr., Seite 329-335 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Li, Jun-bo [VerfasserIn] |
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| Links: |
Volltext [lizenzpflichtig] |
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| Anmerkungen: |
© Huazhong University of Science and Technology 2023 |
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| doi: |
10.1007/s11596-023-2720-y |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
OLC2134711973 |
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| 520 | |a Objective We aimed to identify new, more accurate risk factors of liver transplantation for liver cancer through using the Surveillance, Epidemiology, and End Results (SEER) database. Methods Using the SEER database, we identified patients that had undergone surgical resection for non-metastatic hepatocellular carcinoma (HCC) and subsequent liver transplantation between 2010 and 2017. Overall survival (OS) was estimated using Kaplan-Meier plotter. Cox proportional hazards regression modelling was used to identify factors independently associated with recurrent disease [presented as adjusted hazard ratios (HR) with 95% CIs]. Results Totally, 1530 eligible patients were included in the analysis. There were significant differences in ethnicity (P=0.04), cancer stage (P<0.001), vascular invasion (P<0.001) and gall bladder involvement (P<0.001) between the groups that survived, died due to cancer, or died due to other causes. In the Cox regression model, there were no significant differences in OS at 5 years with different operative strategies (autotransplantation versus allotransplantation), nor at survival at 1 year with neoadjuvant radiotherapy. However, neoadjuvant radiotherapy did appear to improve survival at both 3 years (HR: 0.540, 95% CI: 0.326–0.896, P=0.017) and 5 years (HR: 0.338, 95% CI: 0.153–0.747, P=0.007) from diagnosis. Conclusion This study demonstrated differences in patient characteristics between prognostic groups after liver resection and transplantation for HCC. These criteria can be used to inform patient selection and consent in this setting. Preoperative radiotherapy may improve long-term survival post-transplantation. | ||
| 700 | 1 | |a Zhao, Yuan-yuan |4 aut | |
| 700 | 1 | |a Dai, Chen |4 aut | |
| 700 | 1 | |a Chen, Dong |4 aut | |
| 700 | 1 | |a Wei, Lai |4 aut | |
| 700 | 1 | |a Yang, Bo |4 aut | |
| 700 | 1 | |a Chen, Zhi-shui |4 aut | |
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