Sapisochin, Gonzalo

Background and Aims: Liver transplantation has evolved from a treatment restricted to patients with end-stage liver disease to a therapeutic option for selected patients with primary and metastatic liver malignancies. This review explores the rapidly expanding field of transplant oncology, highlighting its role in hepatocellular carcinoma, colorectal liver metastasis, neuroendocrine liver metastasis, and intrahepatic and perihilar cholangiocarcinoma. Emphasis is placed on strategies to broaden eligibility, optimize donor organ use, and improve oncologic outcomes. Approach and Results: We synthesized current evidence from clinical series, registries, and experimental protocols to evaluate patient selection criteria, outcomes, and peri-transplant management. Key topics include downstaging approaches to meet transplant criteria, such as locoregional therapies and systemic regimens, and their prognostic implications. Advances in donor utilization have been analyzed for their capacity to expand the graft pool. In addition, the review addresses the integration of oncologic principles into immunosuppression regimens, balancing graft protection with cancer control. Collectively, the reported studies demonstrate improved survival and reduced recurrence when stringent selection and multimodal therapy were applied. Conclusions: Transplant oncology reshapes the therapeutic landscape of liver malignancies, with growing evidence supporting liver transplantation in carefully selected patients beyond traditional indications. Optimized downstaging, innovative donor strategies, and tailored immunosuppression are pivotal for safe expansion. Continued collaboration between the transplant and oncology disciplines, along with prospective trials, is essential to further define standardized protocols and solidify transplantation as a cornerstone of multidisciplinary cancer care.

Early allograft failure (EAF) after living donor liver transplantation (LDLT) remains a clinical challenge. Existing prediction models developed for deceased donor transplantation poorly apply to LDLT due to distinct surgical and physiological factors. This study identifies clinical determinants of EAF and develops an LDLT-specific prediction model. We conducted a multicenter retrospective cohort study from 17 high-volume LDLT centers (January 2016–December 2020) with external validation at a tertiary center in Saudi Arabia (January 2015–December 2022). The primary outcome was EAF (graft loss or patient death ≤90 d). Multivariable mixed-effects logistic regression identified preoperative/intraoperative risk factors. The EAGLE-LDLT model was constructed using postoperative laboratory values. Performance was compared against established models (EAD, MEAF, A2ALL) using ROC analysis and decision curve analysis. The development cohort included 2944 adult LDLT recipients (67.7% male; median age 55 y; median MELD 14) with a 5.5% EAF rate. External validation included 1020 recipients (median MELD 21, 6.7% EAF). Independent risk factors for EAF were MELD (OR 1.06, 95% CI 1.04–1.08), donor BMI (OR 1.05, 95% CI 1.00–1.10), portal vein thrombosis (OR 1.73, 95% CI 1.13–2.63), and hepaticojejunostomy (OR 1.58, 95% CI 1.06–2.36). The EAGLE-LDLT model incorporating peak ALT (>468 U/L), peak INR (>1.9), and bilirubin (>3.5 mg/dL) and INR (>1.3) at POD7, demonstrated superior discrimination (AUC=0.81) compared with MEAF (AUC=0.77, p =0.004), EAD (AUC=0.67, p <0.001), and A2ALL (AUC=0.65, p <0.001). EAGLE-LDLT achieved balanced sensitivity (75.0%) and specificity (73.7%), effectively stratifying patients into high-risk (15% of patients; 40.4% EAF incidence) and low-risk groups. Preoperative and intraoperative clinical factors predict EAF in LDLT. The EAGLE-LDLT model accurately identifies LDLT recipients at the highest risk for EAF postoperatively.

The success of living donor liver transplantation (LDLT) has bridged the growing gap between organ demand and availability in patients with liver failure or liver cancer. Safety of the living liver donor (LLD) is paramount, and astute intraoperative management plays a critical role in ensuring optimal outcomes for them. Given that intraoperative surgical and anesthesia practices vary widely across centers, the International Liver Transplantation Society (ILTS) and the International Living Donor Liver Transplantation Group (iLDLT Group) convened a global consensus conference in Toronto in March 2025 to develop guidelines for intraoperative management of the LLD. This manuscript details the recommendations on intraoperative considerations for the safety of LLD developed by Working Group II of the Consensus Scientific Committee, using the Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) system for assessment of recommendations, and the Danish model of consensus. Working Group II focused on intraoperative monitoring, fluid and ventilation strategies, surgical techniques for vascular and biliary division, surgeon and center-specific experience, and intraoperative crises planning. These guidelines aim to support both established and emerging LDLT teams to ensure high-quality and safe intraoperative care for the LLD.

Background and Aims: Liver transplant is a specialized treatment for a spectrum of indications that use a scarce resource. Transplant is guided by principles of justice, equity, and benefit, with a constant conflict between competing interests. Organs are a national resource with a goal of equitable distribution across sites. An AASLD guideline for the evaluation and selection of appropriate candidates for transplant has been available since 2005. Methods: A multidisciplinary writing group of liver transplant experts and a librarian convened over 24 months. The writing group reviewed the literature, generated guideline recommendations, and rated the level of evidence for each recommendation based on the Oxford Center for Evidence-Based Medicine. The group categorized the strength of recommendations based on the level of evidence, risk-benefit ratio, and patient preferences. Conclusions: Liver transplant is a lifesaving procedure that should be offered to selected patients with clear indications and a reasonable prospect of benefit. The evaluation is designed to identify those in need, to outline hurdles to a successful outcome, and to develop an effective transplant plan. The goal of this document is to provide a template for this process.

AbstractBackground and AimsIdentifying international differences in utilization and outcomes of liver transplantation (LT) after donation after circulatory death (DCD) donation provides a unique opportunity for benchmarking and population‐level insight.MethodsAdult (≥18 years) LT data between 2008 and 2018 from the UK and US were used to assess mortality and graft failure after DCD LT. We used time‐dependent Cox‐regression methods to estimate hazard ratios (HR) for risk‐adjusted short‐term (0–90 days) and longer‐term (90 days–5 years) outcomes.ResultsOne‐thousand five‐hundred‐and‐sixty LT receipts from the UK and 3426 from the US were included. Over the study period, the use of DCD livers increased from 15.7% to 23.9% in the UK compared to 5.1% to 7.6% in the US. In the UK, DCD donors were older (UK:51 vs. US:33 years) with longer cold ischaemia time (UK: 437 vs. US: 333 min). Recipients in the US had higher Model for End‐stage Liver Disease (MELD) scores, higher body mass index, higher proportions of ascites, encephalopathy, diabetes and previous abdominal surgeries. No difference in the risk‐adjusted short‐term mortality or graft failure was observed between the countries. In the longer‐term (90 days–5 years), the UK had lower mortality and graft failure (adj.mortality HR:UK: 0.63 (95% CI: 0.49–0.80); graft failure HR: UK: 0.72, 95% CI: 0.58–0.91). The cumulative incidence of retransplantation was higher in the UK (5 years: UK: 11.9% vs. 4.6%; p < .001).ConclusionsFor those receiving a DCD LT, longer‐term post‐transplant outcomes in the UK are superior to the US, however, significant differences in recipient illness, graft quality and access to retransplantation were seen between the two countries.

Abstract Background and Aims Following liver resection (LR) for HCC, the likelihood of survival is dynamic, in that multiple recurrences and/or metastases are possible, each having variable impacts on outcomes. We sought to evaluate the natural progression, pattern, and timing of various disease states after LR for HCC using multistate modeling and to create a practical calculator to provide prognostic information for patients and clinicians. Approach and Results Adult patients undergoing LR for HCC between January 2000 and December 2018 were retrospectively identified at a single center. Multistate analysis modeled post‐LR tumor progression by describing transitions between distinct disease states. In this model, the states included surgery, intrahepatic recurrence (first, second, third, fourth, fifth), distant metastasis with or without intrahepatic recurrence, and death. Of the 486 patients included, 169 (34.8%) remained recurrence‐free, 205 (42.2%) developed intrahepatic recurrence, 80 (16.5%) developed distant metastasis, and 32 (7%) died. For an average patient having undergone LR, there was a 33.1% chance of remaining disease‐free, a 31.0% chance of at least one intrahepatic recurrence, a 16.3% chance of distant metastasis, and a 19.8% chance of death within the first 60 months post‐LR. The transition probability from surgery to first intrahepatic recurrence, without a subsequent state transition, increased from 3% (3 months) to 17.4% (30 months) and 17.2% (60 months). Factors that could modify these probabilities included tumor size, satellite lesions, and microvascular invasion. The online multistate model calculator can be found on https://multistatehcc.shinyapps.io/home/. Conclusions In contrast to standard single time‐to‐event estimates, multistate modeling provides more realistic prognostication of outcomes after LR for HCC by taking into account many postoperative disease states and transitions between them. Our multistate modeling calculator can provide meaningful data to guide the management of patients undergoing postoperative surveillance and therapy.