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Journal of the American Chemical Society | Development of Small-Molecule Inhibitors Targeting Multiple Siglec Immune Checkpoints and Their Role in Enhancing Anti-Tumor Immunity

Journal of the American Chemical Society | Development of Small-Molecule Inhibitors Targeting Multiple Siglec Immune Checkpoints and Their Role in Enhancing Anti-Tumor Immunity
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This study provides a new strategy to overcome the limitations of single-target approaches in tumor immunotherapy. By developing broad-spectrum Siglec inhibitors, it directly guides experimental designs aimed at restoring the functions of macrophages and NK cells.

 

Literature Overview

The article titled "A Common Small-Molecule Inhibitor Targeting Multiple Siglecs Associated with Immune Checkpoint Suppression of Cytotoxicity and Phagocytosis," published in the Journal of the American Chemical Society, systematically explores the design, synthesis, and functional validation of a universal small-molecule inhibitor targeting the Siglec family of immune checkpoints to reverse tumor immune evasion. The paper first reviews the success of immune checkpoint inhibitors in tumor immunotherapy, then points out that, in addition to PD-1/PD-L1, the Siglec family serves as another critical class of inhibitory receptors. In the tumor microenvironment, Siglecs significantly inhibit macrophage phagocytosis and NK cell cytotoxicity by recognizing sialic acid-modified glycan chains on the surface of tumor cells, thereby becoming a key mechanism of tumor immune evasion.

Background Knowledge

This research aims to address the pressing challenge of therapeutic resistance in breast cancer and various solid tumors caused by an immunosuppressive microenvironment. Currently, clinical interventions targeting key inhibitory receptors such as Siglec-10 and Siglec-9 are scarce, and traditional antibody therapies face bottlenecks such as high costs and single-target limitations. Tumor cells often utilize ligands like CD24 to bind Siglec-10 or overexpress sialic acid modifications, activating inhibitory signaling pathways on macrophages and NK cells, leading to immune surveillance failure. This study focuses on using chemo-enzymatic synthesis to create glycan structures containing non-natural Neu5Gc, screening for small-molecule inhibitors capable of simultaneously binding with high affinity to multiple inhibitory Siglec subtypes (e.g., Siglec-7, Siglec-9, Siglec-10, Siglec-11), thereby blocking their interaction with tumor cell surfaces and relieving immune suppression.

 

 

Research Methods and Experiments

The authors first synthesized a library of over 60 sialic acid-containing glycans via chemo-enzymatic methods and assembled them into a glycan array to screen for high-affinity ligands. The study focused on evaluating the binding capabilities of non-natural Neu5Gc-modified glycans (such as compound R3) with various Siglec proteins. Key evidence showed that R3 exhibited extremely high affinity for Siglec-10 on the glycan array (KD approximately 50 nM) and could significantly block the binding of Siglec-10 to HER2-low MCF-7 breast cancer cells. Subsequently, flow cytometry was used to verify the competitive inhibitory effect of R3 on Siglec-10 binding at the cellular level, and mass spectrometry analysis confirmed the presence of abundant sialic acid modifications on the surface of MCF-7 cells.

In the functional validation phase, an in vitro co-culture system was constructed, co-culturing differentiated macrophages (including M0, M1, and M2 types) and NK cells with MCF-7 tumor cells. Experimental results showed that after adding R3, the phagocytosis rate of macrophages toward tumor cells increased significantly, with the phagocytic activity of M2-type macrophages enhanced by 56.2% to 137.9%. Simultaneously, NK cell-mediated cytotoxicity increased by 54.4%. Furthermore, the study evaluated the synergistic effect of combining R3 with Trastuzumab, finding that the combination produced antibody-dependent cellular phagocytosis (ADCP) effects far superior to monotherapy.

Key Conclusions and Perspectives

  • Non-natural Neu5Gc-modified glycan R3 was identified as a high-affinity universal ligand for Siglec-10, Siglec-7, Siglec-9, and Siglec-11, with binding capabilities significantly superior to natural Neu5Ac-modified glycans.
  • It was confirmed that R3 effectively blocks the interaction between Siglec-10 and CD24, relieving the immunosuppressive state of macrophages and significantly enhancing their phagocytosis of HER2-low MCF-7 cells, providing a new chemical tool for tumor immunotherapy.
  • The study reveals that combining R3 with Trastuzumab has a significant synergistic effect, greatly enhancing ADCP and ADCC effects, suggesting that joint targeting of immune checkpoints and Fc receptor-mediated effector functions is an effective strategy to optimize antibody drug efficacy.
  • It is pointed out that Siglec family members are widely expressed and function redundantly in the tumor microenvironment; developing broad-spectrum small-molecule inhibitors offers greater cost-effectiveness and clinical translation potential compared to single-target antibodies.

Research Significance and Prospects

This discovery provides a completely new perspective for drug development: designing universal small molecules targeting glycan-protein interactions to simultaneously block multiple inhibitory Siglec pathways, thereby overcoming the complexity of tumor immune evasion. In terms of clinical monitoring, this study suggests that Neu5Gc-modified glycans may serve as potential biomarkers for assessing Siglec-mediated immune suppression. Additionally, this strategy holds significant value for disease modeling. Future research can further utilize humanized mouse models to verify the pharmacokinetics and anti-tumor efficacy of R3 in vivo, promoting its clinical translation.

 

 

Conclusion

Through the close integration of chemical synthesis and biological validation, this study successfully developed a small-molecule inhibitor, R3, capable of simultaneously targeting multiple Siglec immune checkpoints. This achievement not only reveals the critical role of Neu5Gc-modified glycans in relieving the suppression of macrophages and NK cells but also provides a new paradigm for tumor immunotherapy that surpasses traditional antibody therapies. From the perspective of laboratory-to-clinical translation, R3 and its derivatives are expected to become a cornerstone for overcoming immunotherapy resistance in difficult-to-treat breast cancers such as HER2-low and other solid tumors. By combining immune checkpoint inhibitors with antibody drugs, the body's ability to clear tumor cells can be significantly enhanced, providing strong scientific evidence and potential therapeutic means for building a more comprehensive cancer care system. Future work will focus on structural optimization and in vivo efficacy evaluation to accelerate the clinical application of this innovative therapy.

 

Reference:
Cinya Chung, Ruofan Li, Li-Chun Cheng, Chih-Chuan Kung, and Chi-Huey Wong. A Common Small-Molecule Inhibitor Targeting Multiple Siglecs Associated with Immune Checkpoint Suppression of Cytotoxicity and Phagocytosis. Journal of the American Chemical Society.
ImmunoSeq is a deep learning model based on the Transformer architecture, trained on mass spectrometry–identified HLA-II eluted peptide datasets, and designed to predict HLA-II binding peptides presented on the surface of antigen-presenting cells. By learning pMHC interaction patterns, the model can identify the core residues that determine binding and count the number of effective core peptides, yielding a quantitative metric, HLAIIPred_count, for assessing the potential immunogenicity of antibodies. A lower HLAIIPred_count indicates that fewer core peptides in the antibody sequence are effectively presented by HLA-II, corresponding to a lower risk of inducing anti-drug antibody (ADA) generation; a higher value suggests a greater immunogenicity risk. The tool also supports residue-level localization of immunogenicity hotspots within the sequence, facilitating the identification of key sites that may trigger immune responses and providing a basis for immunogenicity assessment and sequence optimization.