Heliyon· 2026Q1
Genomic alterations in hepatocellular carcinoma patients undergoing liver transplantation predict recurrence and prognosis
- 1citations
- Q1SCImago
- 2026year
Short summary
A novel 13-gene model derived from whole exome sequencing predicts recurrence-free survival (RFS) and overall survival (OS) in hepatocellular carcinoma (HCC) patients post-liver transplantation (LT).
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Key points
- Whole exome sequencing identified a unique genomic mutation spectrum in HCC patients post-LT, with BCLAF1, MUC4, TP53, FMN2, and TTC7A being predominantly mutated.
- The recurrence group (n=14) showed significantly inferior overall survival (OS) compared to the non-recurrence group (n=23) (p < 0.0001).
- 304 genes were identified as independent predictors for recurrence-free survival (RFS), and 482 genes for OS (p < 0.05).
- A novel 13-gene model was developed, significantly influencing both RFS and OS, with a high-risk category indicating poorer outcomes.
AI-generated from the title and abstract; the full text is not read.
Abstract
Abstract Liver transplantation (LT) stands as a pivotal treatment for hepatocellular carcinoma (HCC), outperforming comprehensive treatments in long-term efficacy. However, the 5-year post-LT survival rate hovers between 60% and 70%, largely due to recurrent HCC, spotlighting the critical need for biomarkers that can predict recurrence and prognosis following LT. Our study embarked on this challenge by retrospectively analyzing data from 37 HCC patients who underwent LT from January 2019 to January 2021. Employing whole exome sequencing on tissue and control blood samples, we segregated these patients into recurrence (n = 14) and non-recurrence groups (n = 23), based on a one-year postoperative threshold. Our analysis unveiled a distinctive genomic mutation spectrum in these patients, highlighting five predominantly mutated genes: BCLAF1, MUC4, TP53, FMN2, and TTC7A. Notably, clinical features between the two groups showed no significant divergence. However, the recurrence group demonstrated markedly inferior overall survival (OS) compared to their counterparts (p < 0.0001). Multivariate regression pinpointed 304 genes as independent predictors for recurrence-free survival (RFS) and 482 genes for OS (p < 0.05). Additionally, our research led to the development of a novel 13-gene model, which markedly influences both RFS and OS. Patients classified within the high-risk category of this model experienced significantly poorer outcomes. This study is a trailblazer in linking genomic alterations with the recurrence and survival rates of HCC patients post-LT, introducing a 13-gene model that offers substantial predictive and prognostic utility.
The authors' abstract, as published at the source. Heliyon, 2026 · DOI ↗
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Field: Hepatology
HepatologyMedicine