Novel Therapies for Hepatocellular Carcinoma

Evaluation of cardiovascular events in patients with hepatocellular carcinoma treated with sorafenib in the clinical practice. The CARDIO-SOR study

BACKGROUND AND AIMS

The effectiveness of systemic treatment in advanced hepatocellular carcinoma (HCC) depends on the selection of patients, management of cirrhosis complications and expertise to treat adverse events. The aims of the study are to assess the frequency and management of cardiovascular events in HCC patients treated with sorafenib (SOR) and to create a scale to predict the onset of major adverse cardiovascular events (MACE).

METHOD

Observational retrospective study with consecutive HCC patients treated with SOR between 2007 and 2019 in a western centre. In order to classify cardiovascular risk pre-SOR, we designed the CARDIOSOR scale with age, hypertension, diabetes, dyslipidaemia and peripheral vascular disease. Other adverse events, dosing and outcome data were collected during a homogeneous protocolled follow-up.

RESULTS

Two hundred ninety-nine patients were included (219 BCLC-C). The median overall survival was 11.1 months (IQR 5.6-20.5), and duration of treatment was 7.4 months (IQR 3.3-14.7). Seventeen patients (6%) stopped SOR due to cardiovascular event. Thirty-three patients suffered MACE (7 heart failure, 11 acute coronary syndrome, 12 cerebrovascular accident and 8 peripheral vascular ischemia); 99 had a minor cardiovascular event, mainly hypertension (n = 81). Age was the only independent factor associated to MACE (HR 1.07; 95% CI 1.03-1.12; P = .002). The CARDIOSOR scale allows to identify the group of patients with higher risk of MACE (sHR 3.4; 95% CI 1.4-6.7; P = .04).

CONCLUSION

The incidence of cardiovascular events in HCC patients treated with SOR is higher than expected. Multidisciplinary approach and clinical tools like CARDIOSOR scale could be helpful to manage these patients.

Modeling Hepatocellular Carcinoma Cells Dynamics by Serological and Imaging Biomarkers to Explain the Different Responses to Sorafenib and Regorafenib

Simple Summary

Systemic therapy in advanced hepatocellular-carcinomas (HCC) has limited benefits, but some patients show partial responses (PR) and a few even a complete response (CR). Understanding the biological mechanisms could help clinicians in decision-making. Aim of this study was to develop a physic-mathematical model to investigate tumor dynamics using α-fetoprotein (AFP) and protein induced by vitamin K absence-II (PIVKA-II) measures combined with digital imaging. The model was set-up in three prototype patients with CR/PR to sorafenib and PR to regorafenib, and then applied in seven patients with different types of response. Overall, the rate constant of cancer cells production ranged between 0.250–0.372 C × day⁻¹. During therapy, neo-angiogenesis reduction was higher in four CR than in four PR or stable disease (SD) and in two non-responders (median: 83.2% vs. 29.4% vs. 2.0%). Tumor vasculature decay appeared accelerated in CR. We conclude that modeling serological and imaging biomarkers could help personalization of systemic therapy.

Abstract

In advanced HCC, tyrosine-kinase inhibitors obtain partial responses (PR) in some patients and complete responses (CR) in a few. Better understanding of the mechanism of response could be achieved by the radiomic approach combining digital imaging and serological biomarkers (α-fetoprotein, AFP and protein induced by vitamin K absence-II, PIVKA-II) kinetics. A physic-mathematical model was developed to investigate cancer cells and vasculature dynamics in three prototype patients receiving sorafenib and/or regorafenib and applied in seven others for validation. Overall four patients showed CR, two PR, two stable-disease (SD) and two progressive-disease (PD). The rate constant of cancer cells production was higher in PD than in PR-SD and CR (median: 0.398 vs. 0.325 vs. 0.316 C × day⁻¹). Therapy induced reduction of neo-angiogenesis was greater in CR than in PR-SD and PD (median: 83.2% vs. 29.4% and 2.0%), as the reduction of cell-proliferation (55.2% vs. 7.6% and 0.7%). An additional dose-dependent acceleration of tumor vasculature decay was also observed in CR. AFP and cancer cells followed the same kinetics, whereas PIVKA-II time/dose dependent fluctuations were influenced also by tissue ischemia. In conclusion, pending confirmation in a larger HCC cohort, modeling serological and imaging biomarkers could be a new tool for systemic therapy personalization.