In recent years, the incidence of primary liver cancer has been increasing, among which hepatocellular carcinoma (HCC) being the most common subtype. The treatment of early HCC is mainly surgery, but most patients are not diagnosed until the late stage of the disease. The treatment methods and effects are very limited and the prognosis is very poor. Although targeted therapy has prolonged the overall survival of patients with HCC, the overall efficacy is unsatisfactory. The emergence of immunotherapy has brought new therapeutic prospects for HCC. Immune checkpoint inhibitors, among which programmed death-1/programmed death ligand-1 and cytotoxic T-lymphocyte associated antigen-4 are the representative immunological checkpoints, have attracted more attention. This article will introduce the application of immune checkpoint inhibitors in the treatment of advanced HCC, in order to provide a theoretical basis for the use of immune checkpoint inhibitors in the treatment of advanced HCC.
Dendritic cells (DCs) are the most potent and specialized antigen-presenting cells (APCs) currently known, which play a crucial role in initiating and amplifying both the innate and adaptive immune responses. During the process of immune function, migration ability of DCs and the number of effector T cells which activated by DCs are closely related to the efficiency of immune function. However, because of the complexity of immune system, in the immune response process caused by the skin chronic inflammatory, much is still unknown about the dynamic changes of cell count with time. Therefore, we created a differential equations model to reflect the initial stages of the immune response process caused by the skin chronic inflammatory via setting the function and initial conditions of parameters. The results showed that the model was able to simulate migration and proliferation of cells in vivo within realistic time scales in accordance with the proliferation and migration efficiency in real terms. In addition, the preliminary model can biologically predict the realistic dynamics of DCs and T cells at different time points. All these results may provide a theoretical reference for studying the immune function of DCs as well as guiding the clinical treatment for immune related diseases further.