Evaluation of PD-L1 as a biomarker for immunotherapy for hepatocellular carcinoma: systematic review and meta-analysis

Navigating the complexities: challenges and opportunities in conversion therapy for advanced hepatocellular carcinoma

Primary liver cancer ranks as the sixth most prevalent malignant tumor and stands as the second leading cause of cancer-related mortality globally, posing a significant threat to public health. Hepatocellular carcinoma (HCC) is the most common type of liver cancer worldwide. Surgical resection remains the cornerstone treatment for achieving radical cure and prolonged survival in HCC patients. Contrary to Western countries, the majority of HCC patients in China present with hepatitis B virus infection and consequent liver cirrhosis, with most cases diagnosed at an intermediate or advanced stage. This complexity results in a poor prognosis. Recent advancements in local therapeutic techniques and the introduction of systemic therapies, including targeted and immunotherapy agents, have provided new avenues for both clinical and basic conversion therapy for advanced HCC. Integrating multi-dimensional local and systemic therapies, multi-modal sequential, and comprehensive multidisciplinary approaches into the management of HCC patients has demonstrated promising conversion success rates. This holistic management strategy involves combining multiple treatment modalities vertically and coordinating various disciplines horizontally. However, significant challenges remain, including the precise selection of patients eligible for conversion therapy, the optimal choice of conversion therapy regimens, and the accurate determination of surgical timing post-conversion therapy. Addressing these challenges is crucial for hepatobiliary surgeons. High-quality, randomized controlled trials are urgently needed to generate robust evidence for clinical practice. This review aims to synthesize the latest research developments both in China and internationally and examines key issues in the realm of HCC conversion therapy.

Biomarkers for Immunotherapy Efficacy in Advanced Hepatocellular Carcinoma: A Comprehensive Review

Hepatocellular carcinoma (HCC), the most common primary liver malignancy and the sixth most common cancer globally, remains fatal for many patients with inappropriate responses to treatment. Recent advancements in immunotherapy have transformed the treatment landscape for advanced HCC. However, variability in patient responses to immunotherapy highlights the need for biomarkers that can predict treatment outcomes. This manuscript comprehensively reviews the evolving role of biomarkers in immunotherapy efficacy, spanning from blood-derived indicators-alpha-fetoprotein, inflammatory markers, cytokines, circulating tumor cells, and their DNA-to tissue-derived indicators-programmed cell death ligand 1 expression, tumor mutational burden, microsatellite instability, and tumor-infiltrating lymphocytes. The current body of evidence suggests that these biomarkers hold promise for improving patient selection and predicting immunotherapy outcomes. Each biomarker offers unique insights into disease biology and the immune landscape of HCC, potentially enhancing the precision of treatment strategies. However, challenges such as methodological variability, high costs, inconsistent findings, and the need for large-scale validation in well-powered two-arm trial studies persist, making them currently unsuitable for integration into standard care. Addressing these challenges through standardized techniques and implementation of further studies will be critical for the future incorporation of these biomarkers into clinical practice for advanced HCC.

New insights into immune cells in cancer immunotherapy: from epigenetic modification, metabolic modulation to cell communication

Cancer is one of the leading causes of death worldwide, and more effective ways of attacking cancer are being sought. Cancer immunotherapy is a new and effective therapeutic method after surgery, radiotherapy, chemotherapy, and targeted therapy. Cancer immunotherapy aims to kill tumor cells by stimulating or rebuilding the body's immune system, with specific efficiency and high safety. However, only few tumor patients respond to immunotherapy and due to the complex and variable characters of cancer immune escape, the behavior and regulatory mechanisms of immune cells need to be deeply explored from more dimensions. Epigenetic modifications, metabolic modulation, and cell-to-cell communication are key factors in immune cell adaptation and response to the complex tumor microenvironment. They collectively determine the state and function of immune cells through modulating gene expression, changing in energy and nutrient demands. In addition, immune cells engage in complex communication networks with other immune components, which are mediated by exosomes, cytokines, and chemokines, and are pivotal in shaping the tumor progression and therapeutic response. Understanding the interactions and combined effects of such multidimensions mechanisms in immune cell modulation is important for revealing the mechanisms of immunotherapy failure and developing new therapeutic targets and strategies.

Immunotherapy in hepatocellular carcinoma: an overview of immune checkpoint inhibitors, drug resistance, and adverse effects

Hepatocellular carcinoma (HCC) is a concerning liver cancer with rising incidence and mortality rates worldwide. The effectiveness of traditional therapies in managing advanced HCC is limited, necessitating the development of new therapeutic strategies. Immune checkpoint inhibitors (ICIs) have emerged as a promising strategy for HCC management. By preventing tumor cells from evading immune surveillance through immunological checkpoints, ICIs can restore the immune system’s ability to target and eliminate tumors. While ICIs show promise in enhancing the immune response against malignancies, challenges such as drug resistance and adverse reactions hinder their efficacy. To address these challenges, developing individualized ICI treatment strategies is critical. Combining targeted therapy and immunotherapy holds the potential for comprehensive therapeutic effects. Additionally, biomarker-based individualized ICI treatment strategies offer promise in predicting treatment response and guiding personalized patient care. Future research should explore emerging ICI treatment methods to optimize HCC immunotherapy. This review provides an overview of ICIs as a new treatment for HCC, demonstrating some success in promoting the tumor immune response. However, drug resistance and adverse reactions remain important considerations that must be addressed. As tailored treatment plans evolve, the prospect of immunotherapy for HCC is expected to grow, offering new opportunities for improved patient outcomes.

Predictive Value of Peripheral Blood Eosinophil Count on the Efficacy of Treatment with Camrelizumab in Combination with Lenvatinib in Patients with Advanced Hepatitis B-Associated Hepatocellular Carcinoma

Objective: To examine the effects of peripheral blood eosinophil (EOS) count and its dynamic alterations on the treatment efficacy and prognosis of patients with advanced hepatitis B virus-associated hepatocellular carcinoma (HBV-HCC) receiving camrelizumab combined with lenvatinib (C + L) therapy. Methods: A retrospective analysis was performed on 200 patients with advanced HBV-HCC who were admitted to two centers from January 2018 to August 2023 and treated with C + L. EOS, neutrophil-to-lymphocyte ratio (NLR), and platelet-to-lymphocyte ratio (PLR) were determined before C + L treatment (EOS0, NLR0, and PLR0) and after three cycles of treatment (EOS3, NLR3, and PLR3). The area under the curve was calculated using the receiver operating characteristic (ROC) curve. NLR and PLR served as references to analyze the effect of differences in EOS in predicting the survival efficacy of patients with HBV-HCC treated using C + L. The independent risk factors affecting progression-free survival (PFS) and overall survival (OS) were analyzed using univariate and multivariate Cox proportional risk models. Results: The ROC curve revealed that the predictive value of EOS3 was better than those of NLR3 and PLR3 for the long-term treatment efficacy of patients with intermediate and advanced HBV-HCC receiving C + L. Statistically significant differences were observed between groups with different levels of EOS0 and EOS3 and the evaluation of treatment efficacy after 3 weeks (P < 0.05). The median PFS of the high-EOS0 group was higher than that of the low-EOS0 group (P = 0.027); median PFS of the high EOS3 group was higher than that of the low EOS3 group (P = 0.018); median OS of the high EOS0 group was higher than that of the low EOS0 group (P = 0.032); median OS of the high EOS3 group was higher than that of the low EOS3 group (P < 0.0001). Multifactorial Cox analysis revealed that EOS3 was an independent predictor of PFS and that EOS0 was an independent predictor of OS (P < 0.05). Conclusion: EOS may be an ideal indicator for predicting the treatment efficacy and prognosis of patients with advanced HBV-HCC receiving C + L.

Biomarkers predicting the efficacy of immune checkpoint inhibitors in hepatocellular carcinoma

In recent years, immune checkpoint inhibitors (ICIs) have emerged as a transformative approach in treating advanced hepatocellular carcinoma (HCC). Despite their success, challenges persist, including concerns about their effectiveness, treatment costs, frequent occurrence of treatment-related adverse events, and tumor hyperprogression. Therefore, it is imperative to identify indicators capable of predicting the efficacy of ICIs treatment, enabling optimal patient selection to maximize clinical benefits while minimizing unnecessary toxic side effects and economic losses. This review paper categorizes prognostic biomarkers of ICIs treatment into the following categories: biochemical and cytological indicators, tumor-related markers, imaging and personal features, etiology, gut microbiome, and immune-related adverse events (irAEs). By organizing these indicators systematically, we aim to guide biomarker exploration and inform clinical treatment decisions.

Efficacy and safety of PD-1/PD-L1 inhibitors combined with anti-angiogenic therapy for the unresectable hepatocellular carcinoma and the benefit for hepatitis B virus etiology subgroup: a systematic review and meta-analysis of randomized controlled trials

BACKGROUND

Hepatocellular carcinoma (HCC) is the third leading cause of cancer-related death, worldwide. The predominant causative factor for HCC is hepatitis B virus (HBV) infection. We conducted a meta-analysis to estimate the efficacy and safety of PD-1/PD-L1 inhibitors combined with anti-angiogenic therapy for the first-line treatment of the unresectable HCC and to evaluate the benefits of different geographic regions and etiology stratifications.

METHODS

Randomized clinical trials published up to 12th November 2022 were searched by online databases. Moreover, effects of hazard ratio (HR) for overall survival (OS) and progression-free survival (PFS) were extracted from included studies. Pooled odds ratio (OR) and 95% CI for objective response rate (ORR), disease control rate (DCR), and treatment-related adverse events (TRAEs) were calculated.

RESULTS

A total of 3057 patients from five phase III randomized clinical trials were collected and reviewed for this meta-analysis. The pooled HR of OS (HR = 0.71; 95% CI: 0.60-0.85) and PFS (HR = 0.64; 95% CI: 0.53-0.77) demonstrated significantly better benefit in PD-1/PD-L1 inhibitors combination group than targeted monotherapy to treat unresectable HCC. In addition, combination therapy showed better ORR and DCR, with ORs of 3.29 (95% CI: 1.92-5.62) and 1.88 (95% CI: 1.35-2.61), respectively. The subgroup analysis indicated that PD-1/PD-L1 inhibitors combination therapy was significantly superior to anti-angiogenic monotherapy for HBV-related HCC in terms of OS (HR = 0.64; 95% CI: 0.55-0.74) and PFS (HR = 0.53; 95% CI:0.47-0.59), while there was no significant difference in patients with HCV (OS, HR = 0.81, p = 0.1) or non-viral (OS, HR = 0.91, p = 0.37; PFS, HR = 0.77, p = 0.05).

CONCLUSIONS

Meta-analysis revealed for the first-time that PD-1/PD-L1 inhibitors combination therapy for unresectable HCC was associated with better clinical outcomes than anti-angiogenic monotherapy, especially for HBV infection and Asian population.