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Metroticket 2.0 Model for Analysis of Competing Risks of Death After Liver Transplantation for Hepatocellular Carcinoma

  • 0General Surgery and Liver Transplantation Unit, University of Milan, Istituto Nazionale Tumori (National Cancer Institute), Istituto di Ricovero e Cura a Carattere Scientifico Foundation, Milan, Italy.
Gastroenterology +

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October 10, 2017

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October 10, 2017

View abstract on PubMed

Summary

This summary is machine-generated.

A new model using alpha-fetoprotein (AFP) levels and tumor size/number predicts survival after liver transplantation for hepatocellular carcinoma (HCC). This tool helps select patients and improve outcomes for HCC liver transplant recipients.

Area Of Science

  • Hepatobiliary surgery
  • Transplant oncology
  • Medical diagnostics

Background

  • Outcomes of liver transplantation for hepatocellular carcinoma (HCC) depend on cancer-related and non-cancer events.
  • Hepatitis C virus (HCV) treatments have decreased non-cancer events, making HCC-specific death a key endpoint.
  • A competing-risk analysis was performed to identify factors influencing HCC patient survival post-transplant.

Purpose Of The Study

  • To evaluate factors associated with survival in HCC patients undergoing liver transplantation.
  • To develop a prognostic model for HCC patients based on pre-transplant features.
  • To refine selection criteria and endpoints for liver transplantation in HCC patients.

Main Methods

  • Multivariable competing-risk regression analysis of 1018 patients (Italy) and 341 patients (China).
  • Collected pre-transplant data including tumor characteristics, alpha-fetoprotein (AFP) levels, and liver disease severity.
  • Defined HCC-specific death as death related to tumor recurrence, spread, or worsened liver function due to cancer.

Main Results

  • Combined tumor number, size, and log(AFP) level significantly predicted HCC-specific death (c-statistic 0.780).
  • The model accurately predicted 5-year survival in a validation set (accuracy 0.721).
  • The developed model outperformed existing criteria (Milan, UCSF, Shanghai-Fudan, Up-to-7, AFP French) in predicting 5-year post-transplant survival.

Conclusions

  • A prognostic model using AFP, tumor size, and number predicts HCC-related death risk after liver transplantation.
  • This model can aid in selecting appropriate candidates and setting endpoints for liver transplantation.
  • An online calculator is available for predicting 5-year survival and HCC-related death risk.

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