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Post-transplant inflammatory cytokine signature adds value for predicting tumor recurrence after liver transplantation for hepatocellular carcinoma

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A Letter to the Editor to this article was published on 29 April 2024

Abstract

Background

Cytokines are key regulators of post-transplant inflammation responses which reconstitute post-transplant hepatic and systemic environments to influence the likelihood of tumor relapse. This study investigated the prognostic value of post-transplant cytokines on tumor recurrence after liver transplantation (LT) for hepatocellular carcinoma (HCC).

Methods

A retrospective analysis was conducted in prospectively collected 150 adult HCC patients who received liver transplantation from 1997 to 2015. The post-transplant 41 inflammatory cytokines were quantified by multiplexing analysis and determined their prognostic value for predicting post-LT tumor recurrence by receiver operative characteristic analysis. A prediction model for post-LT tumor recurrence was generated by the logistic regression and internally validated Bootstrapping and compared with external prediction models.

Results

Post-transplant circulating CCL11, IFNα2, and IL17A cytokines were identified to be significant predictors of post-LT tumor recurrence and survival. A prediction score composed of the post-transplant 3-cytokine (P3C) signature, UCSF criteria, and pre-LT AFP was established. The P3C-UCSF-AFP score significantly predicted post-LT tumor recurrence and poor survival both in deceased donor liver transplantation (DDLT) and living donor liver transplantation (LDLT). The P3C-UCSF-AFP score was validated to significantly predict post-LT 2-year and 5-year tumor recurrence, outperforming the RETREAT score, French AFP model, up-to-seven, UCSF criteria, and Milan criteria. Importantly, the P3C-UCSF-AFP score could cost-effectively stratify high-risk recipients subjected to a refinement of post-recurrence survival.

Conclusion

The integrated P3C-UCSF-AFP score not only compensated for the pre-LT unpredictability and predicted post-LT tumor recurrence accurately, but also guided the clinical refinements of post-LT surveillance and therapeutic strategies in transplant oncology.

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Data Availability

Data generated or analyzed during this study are available from the corresponding author on reasonable request.

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Funding

This study was supported by the grants from Theme-based Research Scheme (TRS: T12-703/19R), General Research Funding (GRFs: 17106921; 17124219; 17122517), and Collaborative Research Funding (CRFs: C7026-18G & C7021-21G) of Research Grants Council, and Seed Fund for Basic Research (201910159141 & 202011159038) of HKU, Hong Kong.

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Authors and Affiliations

Authors

Contributions

All authors contributed to the study conception and design. Material preparation, data collection and analysis were performed by JL, OW-HY, LP, HCS, HL, XXY, and AC-YC. The first draft of the manuscript was written by KT-PN, JL, and KM and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

Corresponding authors

Correspondence to Chung Mau Lo or Kwan Man.

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Conflict of interest

Kevin Tak-Pan Ng, Jiang Liu, Oscar Wai-Ho Yeung, Li Pang, Hoi Chung Shiu, Hui Liu, Xin Xiang Yang, Albert Chi-Yan Chan, Tiffany Cho-Lam Wong, Chung Mau Lo, Kwan Man declare no conflict of interest.

Ethical approval

The use of clinical samples for research purposes was approved by the Institutional Review Board of the University of Hong Kong/Hospital Authority Hong Kong West Cluster (HKU/HA/HKW IRB).

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All patients gave written informed consent.

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All authors approved the manuscript for publication.

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Ng, K.TP., Liu, J., Yeung, O.WH. et al. Post-transplant inflammatory cytokine signature adds value for predicting tumor recurrence after liver transplantation for hepatocellular carcinoma. Hepatol Int 17, 1596–1609 (2023). https://doi.org/10.1007/s12072-023-10566-1

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  • DOI: https://doi.org/10.1007/s12072-023-10566-1

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