Hepatocellular carcinoma (HCC) is the sixth most common malignancy and the third leading cause of cancer‐related death worldwide. Contemporary advances in systemic and locoregional therapies have led to changes in peer‐reviewed guidelines regarding systemic therapy as well as the possibility of downstaging disease that may enable some patients with advanced disease to ultimately undergo partial hepatectomy or transplantation with curative intent. This review focuses on all modalities of therapy for HCC, guided by modern‐day practice‐changing randomized data where available. The surgical management of HCC, including resection and transplantation, both of which have evolving criteria for what is considered biologically resectable and transplantable, as well as locoregional therapy (i.e., therapeutic embolization, ablation, radiation, and hepatic arterial infusion), are discussed. Historical and modern‐day practice‐changing trials evaluating immunotherapy with targeted therapies for advanced disease, as well as adjuvant systemic therapy, are also summarized. In addition, this article examines the critical dimension of toxicities and patient‐oriented considerations to ensure a comprehensive and balanced discourse on treatment implications.

The innate immune system is a critical regulator of the adaptive immune responses that lead to allograft rejection. It is increasingly recognized that endogenous molecules released from tissue injury and cell death are potent activators of innate immunity. Mitochondria, ancestrally related to bacteria, possess an array of endogenous innate immune‐activating molecules. We have recently demonstrated that extracellular mitochondria are abundant in the circulation of deceased organ donors and that their presence correlates with early allograft dysfunction. Here we demonstrate the ability of mitochondria to activate endothelial cells (ECs), the initial barrier between a solid organ allograft and its host. We find that mitochondria exposure leads to the upregulation of EC adhesion molecules and their production of inflammatory cytokines and chemokines. Additionally, mitochondrial exposure causes dendritic cells to upregulate costimulatory molecules. Infusion of isolated mitochondria into heart donors leads to significant increase in allograft rejection in a murine heterotopic heart transplantation model. Finally, co‐incubation of human peripheral blood mononuclear cells with mitochondria‐treated ECs results in increased numbers of effector (IFN‐γ⁺, TNF‐α⁺) CD8⁺ T cells. These data indicate that circulating extracellular mitochondria in deceased organ donors may directly activate allograft ECs and promote graft rejection in transplant recipients.

Although the perioperative mortality from hepatic resection has improved considerably, this procedure is still associated with substantial morbidity and resource use. The goal of this investigation was to characterize the incidence, patterns, and risk factors for early reoperation and readmission after hepatectomy. Perioperative outcomes of 1,281 patients undergoing hepatic resection at an academic center from 1996 to 2009 were analyzed. The indications for early reoperation and readmission (90 days) were reviewed. Multivariate logistic regression analysis was performed to determine variables associated with reoperation and readmission. A scoring system was generated to predict the need for readmission after hepatectomy. Eighty-seven patients (6.8%) required reoperation. The perioperative mortality in patients requiring reoperation was significantly higher than for those not requiring reoperation (23.0% vs 3.4%; p < 0.001). Variables associated with reoperation included male sex, performance of concomitant major nonhepatic procedures, and greater intraoperative blood loss. One hundred and eighty-four patients (14.4%) required readmission. Variables associated with readmission included major hepatectomy, development of major postoperative complications, and index hospitalization >7 days. A Readmission Prediction Score ranging from 0 to 4 was generated and directly correlated with need for readmission. In the current era of hepatic surgery, early reoperation and readmission remain relatively frequent. As we care for patients who are increasingly receiving regionalized care far from home, we must be mindful of patients at increased risk for readmission. The development of strategies to minimize the complications that necessitate reoperation and readmission is critical to improving patient care.

HCC recurrence following liver transplantation (LT) is highly morbid and occurs despite strict patient selection criteria. Individualized prediction of post-LT HCC recurrence risk remains an important need. Clinico-radiologic and pathologic data of 4981 patients with HCC undergoing LT from the US Multicenter HCC Transplant Consortium (UMHTC) were analyzed to develop a REcurrent Liver cAncer Prediction ScorE (RELAPSE). Multivariable Fine and Gray competing risk analysis and machine learning algorithms (Random Survival Forest and Classification and Regression Tree models) identified variables to model HCC recurrence. RELAPSE was externally validated in 1160 HCC LT recipients from the European Hepatocellular Cancer Liver Transplant study group. Of 4981 UMHTC patients with HCC undergoing LT, 71.9% were within Milan criteria, 16.1% were initially beyond Milan criteria with 9.4% downstaged before LT, and 12.0% had incidental HCC on explant pathology. Overall and recurrence-free survival at 1, 3, and 5 years was 89.7%, 78.6%, and 69.8% and 86.8%, 74.9%, and 66.7%, respectively, with a 5-year incidence of HCC recurrence of 12.5% (median 16 months) and non-HCC mortality of 20.8%. A multivariable model identified maximum alpha-fetoprotein (HR = 1.35 per-log SD, 95% CI,1.22–1.50, p < 0.001), neutrophil-lymphocyte ratio (HR = 1.16 per-log SD, 95% CI,1.04–1.28, p < 0.006), pathologic maximum tumor diameter (HR = 1.53 per-log SD, 95% CI, 1.35–1.73, p < 0.001), microvascular (HR = 2.37, 95%–CI, 1.87–2.99, p < 0.001) and macrovascular (HR = 3.38, 95% CI, 2.41–4.75, p < 0.001) invasion, and tumor differentiation (moderate HR = 1.75, 95% CI, 1.29–2.37, p < 0.001; poor HR = 2.62, 95% CI, 1.54–3.32, p < 0.001) as independent variables predicting post-LT HCC recurrence (C-statistic = 0.78). Machine learning algorithms incorporating additional covariates improved prediction of recurrence (Random Survival Forest C-statistic = 0.81). Despite significant differences in European Hepatocellular Cancer Liver Transplant recipient radiologic, treatment, and pathologic characteristics, external validation of RELAPSE demonstrated consistent 2- and 5-year recurrence risk discrimination (AUCs 0.77 and 0.75, respectively). We developed and externally validated a RELAPSE score that accurately discriminates post-LT HCC recurrence risk and may allow for individualized post-LT surveillance, immunosuppression modification, and selection of high-risk patients for adjuvant therapies.