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February 28, 2026Scientific ReportsOpen Access

Combining tissue-derived microRNAs with clinical risk models for prediction of HCC recurrence after liver transplantation: A proof-of-concept study

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Authors

TLTheresa LedererKLKonrad LehrSBStefanie Bobe

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Overview

This proof-of-concept study evaluates microRNAs to predict HCC recurrence in patients after liver transplantation, suggesting improved risk assessment.

Key Points

  • The aim is to assess the predictive ability of microRNAs combined with clinical risk models for HCC recurrence post-liver transplantation.
  • Retrospective analysis including 20 patients with HCC who underwent liver transplantation
  • MiRNA profiling on formalin-fixed, paraffin-embedded HCC tissue
  • Evaluation of miRNA expression in conjunction with clinical risk models
  • Kaplan-Meier analysis to assess recurrence-free survival
  • Identified a 3-miRNA signature (miR-3692-5p, miR-424, miR-718) that distinguishes between recurrence and non-recurrence
  • Increased area under the ROC curve from 0.7 to 0.94-0.96 with the addition of miRNA signature to clinical models
  • High-risk patients had a shorter median recurrence-free survival of 17 months compared to 38.5 months for low-risk patients, p < 0.05

Cite This Study

Lederer et al. (2026) studied this question.

synapsesocial.com/papers/69a288170a974eb0d3c04068https://doi.org/10.1038/s41598-026-41688-9
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Genomic alterations in hepatocellular carcinoma patients undergoing liver transplantation predict recurrence and prognosis2024
  2. 2Prognostic significance and molecular implication of microRNAs in hepatocellular carcinoma following curative surgical resection2026
  3. 3Explant-based prognostic models for hepatocellular carcinoma recurrence after liver transplantation: A systematic review and meta-analysis2025 · 1 citations
  4. 4Circulating miR-184 and miR-206 as predictive biomarkers for early recurrence in HBV-related hepatocellular carcinoma: a prospective study2026
  5. 5An interpretable machine learning model using routine clinical data for early recurrence prediction in hepatocellular carcinoma2026