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

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.

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Publication Details

Journal
Cancers
Published
2026-06-29
DOI
https://doi.org/10.3390/cancers18132109
Primary Topic
Extracellular vesicles in disease
Type
article
Field-Weighted Citation Impact
0.00

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article

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

John W. Chen, Daniel Daly, Savio George Barreto, Lauren A. Newman et al.
Cancers
Extracellular vesicles in disease
article

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

John W. Chen, Daniel Daly, Savio George Barreto, Lauren A. Newman, Andrew Rowland, Zivile Useckaite, Mark E. Brooke‐Smith, Fiona Whelan, Janina Kaczmarczyk, Sonja Klebe, Eu Ling Neo
article en

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.

CancersVol. 18(13)
South Australia Pathology (AU), Flinders University (AU), Flinders Medical Centre (AU), Adelaide Institute for Sleep Health (AU), The University of Adelaide (AU)
Flinders Foundation
No poverty
Openalex Percentile: Top 11%
Extracellular vesicles in disease
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