Hepato Cellular Carcinoma

Chronic liver diseases affect 1.5 billion people worldwide and can lead to cirrhosis and hepatocellular carcinoma (HCC), which ranks as the third leading cause of cancer-related mortality globally. Despite advances in the treatment of hepatitis B and C, metabolic diseases, and addiction, HCC incidence continues to rise. In France, between 2010 and 2015, the five-year survival rate for liver cancer (90% of which is HCC) was 18% for men and 19% for women. Treatment of HCC is based on the BCLC classification (Barcelona Clinic Liver Cancer), which evaluates both cancer progression and liver function (Child-Pugh classification). Patients at early stages (0 or A) have a survival rate of over 5 years, while those at more advanced stages (C or D) have significantly lower survival rates, highlighting the importance of better early detection tools. Current screening for HCC in cirrhotic patients involves biannual US-scan. However, ultrasound sensitivity for detecting tumors smaller than 2 cm is around 25%. Therefore, developing personalized strategies to predict and detect early-stage HCC is crucial to improving patient outcomes. Various clinical and biological scores have been developed to assess the risk of developing HCC in cirrhotic patients, but these scores remain imperfect. Molecular heterogeneity in HCC, as revealed by transcriptomic studies, could explain the variability in outcomes and treatment responses. This heterogeneity in occurrence, phenotype, and progression of HCC suggests individual singularities that are not yet well understood. These individual singularities are likely linked to the autonomic nervous system (ANS), particularly in the central nervous system (CNS), which regulates various physiological processes. The ANS consists of the sympathetic nervous system (SNS), mainly adrenergic, and the parasympathetic nervous system (PNS), mainly cholinergic. These two systems function antagonistically but with different temporal dynamics. A better understanding of the interaction between tumor cells and their environment through the ANS could lead to the identification of new biomarkers to predict HCC development and therapeutic targets. The role of the ANS in cancer development has been explored in various cancers, including prostate, stomach, pancreatic, breast, and ovarian cancers, where the ANS regulates inflammation and immune responses. In chronic liver diseases, the liver is innervated by both sympathetic and parasympathetic fibers, and this innervation plays a role in regulating metabolism, liver regeneration, and fibrosis progression. Chronic liver disease etiologies, such as alcohol consumption, metabolic syndrome, and viral hepatitis, disrupt the balance between the SNS and PNS, contributing to liver dysfunction. The severity of liver damage is linked to autonomic dysfunction, and heart rate variability, a marker of PNS activity, is correlated with survival in patients with terminal-stage HCC. Our recent research has shown that patients with HCC exhibit a reconfiguration of the intrahepatic ANS, with a consistent cholinergic orientation at the neuro-hepatic synapse. Patients with parasympathetic orientation (as compared to sympathetic orientation) have more aggressive tumors, shorter survival, and, from a pharmacological perspective, anticholinergics increase sensitivity to targeted HCC therapies. Tumor cells and cytotoxic lymphocytes are most strongly associated with cholinergic receptor enrichment and depletion, respectively. In this context, the PSYLIVER-PILOTE study builds on these findings by investigating the involvement of the ANS in HCC through non-invasive extra-hepatic measures. The SNS and PNS are connected to brain regions involved in cognitive, emotional, and social information processing, such as the anterior cingulate cortex, insula, ventromedial prefrontal cortex, amygdala, and hypothalamus. These brain areas are involved in cognitive control and emotional processing. Additionally, experimental data from polyvagal theory and neurovisceral integration theory highlight the role of the ANS in regulating cognitive, emotional, and social processes, as well as psycho-behavioral traits. For instance, confronting a person with cognitive tasks and emotional or social information alters the balance of sympathetic and parasympathetic activity. Similar changes are observed in psycho-behavioral disorders like depression, emotional dysregulation, stress, and aggression. Thus, the PSYLIVER-PILOTE study aims to identify extra-hepatic markers of ANS activity associated with HCC, analyzing both electrophysiological indices (from the peripheral nervous system) and psycho-behavioral indices (from the central nervous system). This project could open new avenues for early HCC detection and the development of personalized treatments

The investigators are doing this study to learn if a combination of immunotherapy and a liver-directed tumor procedure can safely and effectively shrink or control liver cancer (hepatocellular carcinoma, HCC). The goal is to try to lower the stage of the cancer so that more patients may become eligible for a liver transplant. The investigators will also closely watch for side effects from the study treatments. Section 2 has more details.

Intro: The present clinical research protocol is part of the LEOPARD European project (Grant n° 101080964 Horizon Europe) which aims to design and validate new predictive models of mortality among liver transplantation (LT) candidates. MELD based-liver graft allocation systems have become increasingly inaccurate over the last decade to predict mortality/dropout of liver transplantation (LT) candidates on the waitlist (WL). Wide disparities in mortality/dropout on the WL also exist across European countries, ranging from 5 to 30% according to transplantation indications and countries. In this setting, the European Commission- Horizon Europe funded-LEOPARD project intends to design new, 2nd generation, AI-machine learning-based predictive models of delisting in LT candidates, to better serve on time patients with the highest risk of dropout on the WL and to improve equity of access to LT across Europe. Hypothesis/Objective: The scientific justification of the LEOPARD TVDCS is therefore to collect a large set of data in liver transplantation candidates listed in Europe a) to design and b) to validate LEOPARD 2nd generation AI-based predictive models of mortality/dropout The primary objective is to develop new predictive models of mortality/drop out on the waitlist in patients with decompensated cirrhosis, or other end-stage chronic liver diseases, and in patients listed for Hepato-cellular carcinoma (HCC). Method: Longitudinal multicenter prospective health care data collection cohort study in 2 sets : Training/development set : Prospective health care data collection in 3,000 patients listed in 50 centres across 7 countries and Validation set: Prospective health care data collection in 1,500 subsequent patients listed in the same 50 centres.

Intro: The present clinical research protocol is part of the LEOPARD European project (Grant n° 101080964 Horizon Europe) which aims to design and validate new predictive models of mortality among liver transplantation (LT) candidates. MELD based-liver graft allocation systems have become increasingly inaccurate over the last decade to predict mortality/dropout of liver transplantation (LT) candidates on the waitlist (WL). Wide disparities in mortality/dropout on the WL also exist across European countries, ranging from 5 to 30% according to transplantation indications. In this setting, the European Commission- Horizon Europe funded-LEOPARD project intends to design new, 2nd generation, AI-machine learning-based predictive models of delisting in LT candidates, to better serve on time patients with the highest risk of dropout on the WL and to improve equity of access to LT across Europe. Hypothesis/Objective The scientific justification of the LEOPARD PVC1 is therefore 1. to build an external cohort of LT candidates to test and validate the LEOPARD models, therefore providing robust evidence for adoption of LEOPARD models by Organ Sharing Organizations (OSOs). 2. to collect granular data, bio- and tissues sampes and images to test last-generation OMICs predictors and radiomics, therefore opening the door to design of 3rd generation, precision medicine-based predictive models. The primary objective of the LEOPARD longitudinal study is to test and validate AI-based 2nd generation LEOPARD predictive models of mortality/drop out on the waitlist in patients with decompensated cirrhosis, or other end-stage chronic liver diseases, and in patients listed for HCC. Method Multicenter Prospective longitudinal study in up to 630 enrolments (in case of replacing participants after inclusion) to obtain 600 patients meeting selection criteria, in 30 hospitals in 5 European countries including France, Italy, The Netherlands, Belgium and Germany.