Siglec-7 and Siglec-9 are glycoimmune checkpoints predominantly expressed on tumor-associated myeloid cells, including tumor-associated macrophages (TAMs). These receptors play a critical role in suppressing T cell activation and effector functions through mechanisms such as dephosphorylation of T cell receptor (TCR)-related signaling pathways. Recent studies have demonstrated that the targeted degradation of these receptors can significantly influence T cell memory formation within the tumor microenvironment (TME).
The degradation of Siglec-7 and -9 is achieved through a novel degrader that targets these receptors for lysosomal degradation. This process has been shown to enhance T cell activation markers, such as CD69 and CD25, and promote T cell proliferation and cytokine production (e.g., IFN-γ and TNF-α) when T cells are co-cultured with myeloid cells treated with the degrader. This indicates that the removal of these inhibitory signals allows T cells to regain their functional capabilities, which is essential for effective anti-tumor immunity.
Importantly, the combination of Siglec-7/9 degradation with immune checkpoint blockade (e.g., anti-CTLA-4 therapy) has been shown to significantly increase the frequency of memory T cells, including effector memory T (TEM) and central memory T (TCM) cells. This combination therapy not only enhances the overall T cell response but also leads to the formation of long-lasting T cell memory, as evidenced by the ability of T cells from treated mice to control tumor growth upon rechallenge (indicating the establishment of immune memory) (see ).
Degradation of Siglec-7 and -9 also leads to a reprogramming of the TME, shifting it from an immunosuppressive to a more permissive environment for T cell infiltration and activity. This is achieved by enhancing the antigen presentation capabilities of TAMs, which are crucial for T cell activation and memory formation. The combination treatment has been shown to increase the accumulation of MHC-II high macrophages, which are associated with tumor-suppressive properties, while decreasing MHC-II low counterparts.
In summary, the degradation of Siglec-7 and -9 significantly enhances T cell activation and memory formation within the tumor microenvironment by removing inhibitory signals, improving antigen presentation, and reprogramming myeloid cells. This approach represents a promising strategy to improve the efficacy of cancer immunotherapies.
This analysis will utilize gene expression datasets to evaluate the impact of Siglec-7/9 degradation on T cell memory markers such as CD69, CD25, and PD-1.
import pandas as pd import seaborn as sns import matplotlib.pyplot as plt data = pd.read_csv('gene_expression_data.csv') # Filter for T cell memory markers memory_markers = ['CD69', 'CD25', 'PD-1'] filtered_data = data[data['gene'].isin(memory_markers)] # Plotting the expression levels plt.figure(figsize=(10, 6)) sns.boxplot(x='gene', y='expression', data=filtered_data) plt.title('Expression Levels of T Cell Memory Markers Post-Siglec-7/9 Degradation') plt.show()