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Circulating Extracellular Vesicles Reflect Dynamic Shifts in Liver Transcriptome Following Tumour Resection

Research output: Contribution to journal › Article › peer-review

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Abstract

Background/Objectives: Poor outcomes in liver cancer are often driven by late-stage diagnoses and high recurrence rates following surgical resection, highlighting a critical clinical need for non-invasive surveillance tools. This proof-of-concept study investigates the utility of circulating extracellular vesicles (EVs) to track dynamic molecular shifts and monitor patient response following tumour resection. 

Methods: Small ribonucleic acid (RNA) sequencing was conducted on matched tumour tissue, tissue-derived EVs, and plasma EVs collected at the time of surgery from patients with liver cancer. To capture longitudinal transcriptomic changes, plasma EVs were also collected at a post-operative follow-up appointment. 

Results: At the time of surgery, the transcriptomic profile of circulating plasma EVs strongly correlated with both the matched tumour tissue and tissue-derived EVs, exhibiting substantial transcript overlap. However, at post-operative follow-up, the circulating EV cargo significantly diverged from the primary tumour profile. This loss of similarity was characterised by a distinct shift in RNA cargo, including 173 uniquely detected transcripts absent at baseline. 

Conclusions: Circulating EVs accurately reflect the local hepatic transcriptome at the time of surgery, but their profile dynamically and fundamentally diverges once the tumour is removed. This post-surgical divergence provides an initial proof-of-concept that utilising patients as their own internal control to longitudinally profile EV cargo may track the clearance of tumour signals and monitor post-surgical systemic changes, highlighting their potential utility for future longitudinal studies aimed at tracking cancer progression and recurrence.

Original languageEnglish
Article number2109
Number of pages21
JournalCancers
Volume18
Issue number13
DOIs
Publication statusPublished - 1 Jul 2026

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • blood biomarkers
  • extracellular vesicles
  • hepatocellular carcinoma
  • liquid biopsy
  • molecular oncology

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