Interventional radiology meets immuno-oncology for hepatocellular carcinoma

Prognostic Effect of Sarcopenia in Hepatocellular Carcinoma Patients Targeted with Interventional Therapy Combined with Immunotherapy and Targeted Therapy

Objective

To investigated the association between sarcopenia and the prognosis and adverse events of hepatocellular carcinoma (HCC) patients undergoing interventional therapy combined with immunotherapy and targeted therapy.

Methods

Between January 2019 and December 2022, patients with unresectable HCC who received interventional therapy combined with immunotherapy and targeted therapy were included in this study. Total skeletal muscle area at the L3 level was normalized for height in m2 as the skeletal muscle index (SMI). All patients were divided into low and high SMI group according to the median SMI.

Results

Ninety-six consecutive patients were included eventually, with 49 patients in the high-SMI group and 47 patients in the low-SMI group. In the low-SMI group, the median overall survival (OS) was 459.00 days (95% CI, 334.76-583.24 days), and the 3-, 6-, and 12-month OS rates were 100%, 89.4% and 68.1%, respectively. In the high-SMI group, the median OS was not reached, and the 3-, 6-, and 12-month OS rates were 100%, 98% and 79.5%, respectively (p<0.05). SMI and Barcelona Clinic Liver Cancer (BCLC) C stage were independent prognostic factors for OS (p<0.05). In the low-SMI group, 26 patients had treatment-related adverse events (TRAEs), resulting in dose adjustment or treatment suspension for 10 patients. In the high-SMI group, 33 patients had TRAEs, and 18 patients received dose adjustment or treatment suspension; the between-group difference was nonsignificant (p>0.05).

Conclusion

SMI is associated with the prognosis of HCC patients receiving interventional therapy combined with immunotherapy and targeted therapy, and sarcopenia is an independent risk factor for OS. However, sarcopenia does not seem to predict the occurrence of adverse events.

Modeling the Synergistic Impact of Yttrium 90 Radioembolization and Immune Checkpoint Inhibitors on Hepatocellular Carcinoma

The impact of yttrium 90 radioembolization (Y90-RE) in combination with immune checkpoint inhibitors (ICIs) has recently gained attention. However, it is unclear how sequencing and dosage affect therapeutic efficacy. The purpose of this study was to develop a mathematical model to simulate the synergistic effects of Y90-RE and ICI combination therapy and find the optimal treatment sequences and dosages. We generated a hypothetical patient cohort and conducted simulations to apply different treatments to the same patient. The compartment of models is described with ordinary differential equations (ODEs), which represent targeted tumors, non-targeted tumors, and lymphocytes. We considered Y90-RE as a local treatment and ICIs as a systemic treatment. The model simulations show that Y90-RE and ICIs administered simultaneously yield greater benefits than subsequent sequential therapy. In addition, applying Y90-RE before ICIs has more benefits than applying ICIs before Y90-RE. Moreover, we also observed that the median PFS increased up to 31~36 months, and the DM rates at 3 years decreased up to 36~48% as the dosage of the two drugs increased (p < 0.05). The proposed model predicts a significant benefit of Y90-RE with ICIs from the results of the reduced irradiated tumor burden and the associated immune activation and suppression. Our model is expected to help optimize complex strategies and predict the efficacy of clinical trials for HCC patients.

NK cell marker gene-based model shows good predictive ability in prognosis and response to immunotherapies in hepatocellular carcinoma

Hepatocellular carcinoma (HCC) is the fourth leading cause of malignancy worldwide, and its progression is influenced by the immune microenvironment. Natural killer (NK) cells are essential in the anti-tumor response and have been linked to immunotherapies for cancers. Therefore, it is important to unify and validate the role of NK cell-related gene signatures in HCC. In this study, we used RNA-seq analysis on HCC samples from public databases. We applied the ConsensusClusterPlus tool to construct the consensus matrix and cluster the samples based on their NK cell-related expression profile data. We employed the least absolute shrinkage and selection operator regression analysis to identify the hub genes. Additionally, we utilized the CIBERSORT and ESTIMATE web-based methods to perform immune-related evaluations. Our results showed that the NK cell-related gene-based classification divided HCC patients into three clusters. The C3 cluster was activated in immune activation signaling pathways and showed better prognosis and good clinical features. In contrast, the C1 cluster was remarkably enriched in cell cycle pathways. The stromal score, immune score, and ESTIMATE score in C3 were much higher than those in C2 and C1. Furthermore, we identified six hub genes: CDC20, HMOX1, S100A9, CFHR3, PCN1, and GZMA. The NK cell-related genes-based risk score subgroups demonstrated that a higher risk score subgroup showed poorer prognosis. In summary, our findings suggest that NK cell-related genes play an essential role in HCC prognosis prediction and have therapeutic potential in promoting NK cell antitumor immunity. The six identified hub genes may serve as useful biomarkers for novel therapeutic targets.

Immunotherapy for Hepatocellular Carcinoma in the Setting of Liver Transplantation: A Review

The emerging field of immuno-oncology has brought exciting developments in the treatment of hepatocellular carcinoma (HCC). It has also raised urgent questions about the role of immunotherapy in the setting of liver transplantation, both before and after transplant. A growing body of evidence points to the safety and efficacy of immunotherapeutic agents as potential adjuncts for successful down-staging of advanced HCCs to allow successful transplant in carefully selected patients. For patients with recurrent HCC post-transplant, immunotherapy has a limited, yet growing role. In this review, we describe optimal regimens in the setting of liver transplantation.