Cancer Genetics and Epigenetics, 2025, Vol.13, No.5, 236-244 http://medscipublisher.com/index.php/cge 241 5.3 Clinical significance The above case analysis shows that the characteristics of the tumor immune microenvironment (TIME) are very important for predicting recurrence. A large number of regulatory T cells (Tregs) and M2-type macrophages, along with the expression of some immune genes, can serve as signals of early recurrence and also help identify patients who require closer follow-up or additional treatment (Wang et al., 2021). Conversely, if there are more cytotoxic T cells and dendritic cells in the tumor immune microenvironment (TIME), the risk of early recurrence is usually lower and the treatment effect for patients is better (Maus et al., 2022; Sun, 2024). Incorporating the spatial and molecular characteristics of TIME into clinical assessment is conducive to establishing individualized recurrence risk prediction models and providing guidance for immunotherapy measures. Understanding the changing trend of the postoperative immune microenvironment is of great significance for formulating plans to prevent the recurrence of solid tumors such as liver cancer and improving the survival rate of patients (Andersen et al., 2021). 6 Explanation and Enlightenment 6.1 Causal relationship and correlation between time and recurrence Although many studies have shown that the tumor immune microenvironment (TIME) is closely related to cancer recurrence, it is still rather difficult to clarify the causal relationship. The composition of immune cells - such as the abundance or scarcity of CD8+T cells, or the presence or absence of inhibitory myeloid cells - is associated with the recurrence risk and prognosis of various cancers such as liver cancer (HCC). However, most of these results only indicate correlation because TIME is simultaneously affected by the tumor itself and the body's immunity. It is difficult to determine whether immune changes are the cause of recurrence or merely reflect the characteristics of the tumor (Chen et al., 2022; Hwang et al., 2024). Experimental and computational models suggest that inhibitory components in TIME, such as regulatory T cells and myeloid-derived suppressor cells, may directly promote immune escape and tumor regrowth, indicating that they may have causal effects. However, there is a constant interaction between tumors and the immune microenvironment, so immune characteristics may be both the cause and the result of recurrence. This requires more long-term and mechanistic research to clarify the relationship between the two (Chen et al., 2023; Shrestha et al., 2024). 6.2 Immunological differences of recurrent subtypes The immune characteristics of patients with different recurrence types are also different. For instance, in the early stage of recurrence, the immunosuppressive effect of the tumor immune microenvironment (TIME) is usually stronger, which contains a large number of regulatory T cells, M2-type macrophages and T cells with decreased function. In the late stage of recurrence, more cytotoxic T cells and memory T cells may emerge (Chen et al., 2023). The immune characteristics of some recurrent subtypes (such as inflammatory tumors or "immunodeficient" tumors) can also affect the risk of recurrence and treatment outcomes. Generally speaking, the recurrence interval of inflammatory tumors is longer (Chen et al., 2022; Hwang et al., 2024). Further research at the spatial and molecular levels has revealed that different recurrence subtypes also have differences in the quantity and distribution of immune cells, as well as the expression of immune checkpoint molecules. This information can help doctors predict recurrence and also assist in choosing appropriate treatment methods (Shrestha et al., 2024). These differences indicate that analyzing each patient's own immune characteristics is of great significance for assessing the risk of recurrence and formulating treatment plans. 6.3 Limitations of current research and future development directions At present, there are still some limitations in the research on the relationship between TIME and recurrence, such as excessive reliance on retrospective data, large differences in patient populations, and inconsistent immunoassay methods, etc. (Chen et al., 2022; Chen et al., 2023). Most studies are of an observational nature and it is difficult to draw causal conclusions. Moreover, they usually only analyze a single time point and cannot reflect the dynamic changes of the immune microenvironment (Hwang et al., 2024). Furthermore, much of the evidence comes from other types of cancer, and the conclusion may not be directly applicable to liver cancer.
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