As of 2020, hepatocellular carcinoma (HCC) is the sixth leading cause of cancer-related deaths, making it one of the world's major public health issues. The incidence of HCC is increasing year by year, from 14 million cases worldwide in 2012 to an estimated 22 million cases by 2030. Most HCC patients are not diagnosed until late stages, thus missing the optimal treatment window. In recent years, comprehensive therapy with immune targeting as the core has made breakthrough progress in the treatment of advanced liver cancer, bringing good news to patients with advanced liver cancer. Clinical trials have shown that immunotherapy combined with targeted therapy is effective in the treatment of unresectable hepatocellular carcinoma. Patients have significant clinical value. However, the therapeutic effect of immune targeting varies depending on the complex tumor microenvironment of HCC. Therefore, there is an urgent need to establish an efficacy evaluation model for comprehensive treatment to accurately classify and stratify patients and select the best treatment plan.

Intratumoral T cell and B cell infiltration has been extensively studied and is associated with good prognosis in most tumors. In recent years, tertiary lymphoid structures (TLS) have gradually gained in-depth understanding. Tertiary lymphoid structures are lymphatic aggregates formed at sites of inflammation in autoimmune diseases, infections, and cancers. They can provide local antigen presentation sites and generate effector T cells and central memory T cells, thereby providing humoral and cellular anti-tumor specificity. Sexual immune response provides an important microenvironment. Further studies have shown that the presence of intratumoral TLS is associated with reduced risk of recurrence and improved survival in most solid tumors, and mature TLS was found to be a key site of tumor-specific immune responses in pancreatic ductal adenocarcinoma, which is consistent with immunotherapy. related to efficacy. In addition, more and more studies have found that clinical characteristics such as vascular endothelial growth factor (VEGF) levels are related to the effect of comprehensive treatment of liver cancer. Studies have shown that plasma VEGF levels are significantly related to the survival rate of patients with hepatocellular carcinoma, and VEGF levels are important for their prognosis. Stratification has excellent clinical value.

Therefore, this study focused on the characteristic parameters of liver cancer tumor microenvironment such as TLS, PD-L1 expression level, and VEGF level to construct a liver cancer comprehensive treatment efficacy evaluation model to guide the selection of treatment options.

The predictive accuracy of the constructed model was determined by measuring the specificity, sensitivity, and area under the receiver operating characteristic (ROC) curve in the validation sample. Discrimination refers to the ability of a predictive model to accurately identify patients at low and high risk for the event under investigation, usually expressed as the area under the ROC curve. A predictive model with an ROC of 0.75 is considered to have good discrimination, whereas an area of 0.5 is considered equivalent to a coin toss.