Advances and Future Developments in Liver Transplantation for Cancers: 2nd Edition

A special issue of Cancers (ISSN 2072-6694). This special issue belongs to the section "Transplant Oncology".

Deadline for manuscript submissions: 31 January 2026 | Viewed by 395

Special Issue Editor


E-Mail Website
Guest Editor
Department of Hepato-Biliary and Pancreatic Surgery, and Liver Transplantation, Paul Brousse Hospital, AP-HP, 94800 Villejuif, France
Interests: hepatocellular carcinoma; cholangiocarcinoma; liver transplantation; portal hypertension; augmented reality; fluorescence; digital twin
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue is a continuation of our previous Special Issue titled “Advances and Future Developments in Liver Transplantation for Cancers” (https://www.mdpi.com/journal/cancers/special_issues/45E6IV0Z9X).

Liver transplantation is undoubtedly the best treatment for HCC and end-stage liver disease. It is a procedure that has clearly reached maturity despite very large regional differences (including preferential access to deceased versus living donors). However, the global shortage of organs limits access to transplantation and the foreseeable increase in indications, as well as rising epidemiology of primary liver cancers, indicate a worrying worsening of this shortage in the near future. It is therefore urgent to propose solutions to improve access to grafts, using marginal, partial, ex vivo perfused, or artificial organs. Innovations have already been implemented, and many others are under development.

This Special Issue invites hepatobiliary and transplant surgeons, hepatologists, and oncologists to discuss recent advances in the field of liver transplantation with a key interest in recent oncologic advances and their interaction with liver transplantation.

We aim to focus on the following:

  • Currently debated indications and potential evolution of recipients’ demographics;
  • New onco-surgical strategies for HCC (immunotherapy, radioembolization, etc.) and impact on transplantation: timing, specific surgical risks, downstaging, post-transplant oncological results, etc.;
  • Ex vivo liver perfusion;
  • Orthotopic and heterotopic auxiliary liver transplantation—the RAPID procedure;
  • Living donor liver transplantation in Eastern and Western countries;
  • Artificial livers, organoids, bioengineering: dream or reality in the short term?
  • Mathematical models and numerical simulations in the field of transplantation: why should they be of interest for the surgeon for the selection of patients?
  • New surgical strategies/technical tips in LT: portal thrombosis, complex vascular reconstructions, redo-LT, management of large-for-size syndrome, portal flow modulation, etc.;
  • Challenges and pitfalls of combined transplants (heart, lungs).

Dr. Nicolas Golse
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Cancers is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2900 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • machine perfusion
  • marginal graft
  • split liver
  • immunotherapy
  • auxiliary liver transplantation
  • digital twin
  • modeling
  • organoid

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue polices can be found here.

Related Special Issue

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

19 pages, 2200 KiB  
Article
HepatoPredict Accurately Selects Hepatocellular Carcinoma Patients for Liver Transplantation Regardless of Tumor Heterogeneity
by Rita Andrade, Judith Perez-Rojas, Sílvia Gomes da Silva, Migla Miskinyte, Margarida C. Quaresma, Laura P. Frazão, Carolina Peixoto, Almudena Cubells, Eva M. Montalvá, António Figueiredo, Augusta Cipriano, Maria Gonçalves-Reis, Daniela Proença, André Folgado, José B. Pereira-Leal, Rui Caetano Oliveira, Hugo Pinto-Marques, José Guilherme Tralhão, Marina Berenguer and Joana Cardoso
Cancers 2025, 17(3), 500; https://doi.org/10.3390/cancers17030500 - 2 Feb 2025
Viewed by 457
Abstract
Background/Objectives: Hepatocellular carcinoma (HCC) is a major cause of cancer-related deaths rising worldwide. This is leading to an increased demand for liver transplantation (LT), the most effective treatment for HCC in its initial stages. However, current patient selection criteria are limited in predicting [...] Read more.
Background/Objectives: Hepatocellular carcinoma (HCC) is a major cause of cancer-related deaths rising worldwide. This is leading to an increased demand for liver transplantation (LT), the most effective treatment for HCC in its initial stages. However, current patient selection criteria are limited in predicting recurrence and raise ethical concerns about equitable access to care. This study aims to enhance patient selection by refining the HepatoPredict (HP) tool, a machine learning-based model that combines molecular and clinical data to forecast LT outcomes. Methods: The updated HP algorithm was trained on a two-center dataset and assessed against standard clinical criteria. Its prognostic performance was evaluated through accuracy metrics, with additional analyses considering tumor heterogeneity and potential sampling bias. Results: HP outperformed all clinical criteria, particularly regarding negative predictive value, addressing critical limitations in existing selection strategies. It also demonstrated improved differentiation of recurrence-free and overall survival outcomes. Importantly, the prognostic accuracy of HP remained largely unaffected by intra-nodule and intra-patient heterogeneity, indicating its robustness even when biopsies were taken from smaller or non-dominant nodules. Conclusions: These findings support the usage of HP as a valuable tool for optimizing LT candidate selection, promoting fair organ allocation and enhancing patient outcomes through integrated analysis of molecular and clinical data. Full article
Show Figures

Figure 1

Back to TopTop