Abstract
Immune checkpoint blockades (ICBs) have revolutionized cancer therapy through unleashing anti-tumor adaptive immunity. Despite that, they are usually effective only in a small subset of patients and relapse can occur in patients who initially respond to the treatment. Recent breakthroughs in this field have identified innate immune checkpoints harnessed by cancer cells to escape immunosurveillance from innate immunity. MHC1 appears to be such a molecule expressed on cancer cells which can transmit a negative signal to innate immune cells through interaction with leukocyte immunoglobulin like receptor B1 (LILRB1). The review aims to summarize the current understanding of MHC1/LILRB1 axis on mediating cancer immune evasion with an emphasis on the therapeutic potential to block this axis for cancer therapy. Nevertheless, one should note that this field is still in its infancy and more studies are warranted to further verify the effectiveness and safety in clinical as well as the potential to combine with existing immune checkpoints.
1 Introduction
Immune checkpoint blockades (ICBs) are the most advanced methods for cancer treatment (, ). Through harnessing adaptive immunity, ICBs lead to long-lasting anti-tumor responses for certain types of cancers even at advanced stages (, ). Inspired by this tremendous success, recent efforts in cancer immunology have also recognized immune surveillance mediated by innate immune system. The MHC1/LILRB1 axis represents such a critical facet of the intricate interplay between cancer cells and the innate immune system, offering a unique perspective in the field of cancer immunotherapy (, ).
MHC1 molecules are expressed on the cell surface of all nucleated cells and primarily present peptides derived from intracellular proteins, including both self-proteins and viral proteins (). These peptides are typically 8 to 10 amino acids in length and are bound within a peptide-binding groove formed by the α1 and α2 domains of the MHC1 molecule (). The binding specificity of MHC1 molecules is influenced by the amino acid residues within the peptide-binding groove, which interact with specific amino acids of the presented peptide. This interaction contributes to the stability of the peptide-MHC complex and determines the recognition by cytotoxic T lymphocytes (CTLs), leading to the mobilization of adaptive immunity (). In the context of cancer immunology, orchestrating immune recognition of MHC1 molecules is responsible for presenting fragments of tumor-specific proteins (antigens) to CTLs which serves as the fundamental step for immune system to identify and eliminate cancer cells (, ).
Leukocyte immunoglobulin like receptor B1 (LILRB1), also known as ILT2 (Immunoglobulin-Like Transcript 2) or CD85j, is a cell surface receptor that belongs to the immunoglobulin superfamily (, ). It is primarily expressed on various innate immune cells, including natural killer (NK) cells, monocytes, macrophages, and dendritic cells (). LILRB1 functions as an immune inhibitory receptor and is involved in immune regulation and modulation of immune responses (). It interacts with specific ligands on target cells, which can be either classical or non-classical MHC1 molecules expressed on the cell surface. Through engaging MHC1, LILRB1 transmits inhibitory signals that dampen immune responses (). As a result, activation of LILRB1 can impact the clearance of pathogens and/or tumor cells through inhibition of innate immune system. Correspondingly, disrupting MHC1/LILRB1 has shown both preclinical and clinical therapeutic activity against several types of cancers, behaving like the established immune checkpoints such as PD-1/PD-L1 and CD47/Sirpα which have been extensively reviewed elsewhere (, ).
This review focuses on this newly emerged immune checkpoint and summarizes the current understanding of MHC1/LILRB1 axis on mediating cancer evasion from innate immune cells and the therapeutic potential to block this axis for cancer therapy. Additionally, it proposes that further studies are warranted to verify the effectiveness and safety in clinical as well as the synergistic potential to combine with existing immune checkpoint blockades.
2 Structure and mechanism of MHC1/LILRB1 interaction
MHC1 molecules consist of ternary complexes containing α chain (the MHC heavy chain), soluble serum protein β2 microglobulin (β2m), and bound peptide (, ). The α1 and α2 domains on the α chain form the peptide binding groove and contact the T-cell receptor, while α3 domain engages with the T cell co-receptor CD8 during T cell recognition. Differently, MHC1 binds to LILRB1 via α3 domain and β2m (, ). The β2m subunit is essential for the binding of MHC1 to the LILRB1 receptor, as evidence clearly shows the incapability of LILRB1 to recognize β2m-free forms of MHC1 molecules (). On top of this, β2m is also necessary for the proper folding and stability of the MHC I molecule (Figure 1) ().
Figure 1
The binding site on LILRB1 localizes on the two membrane-distal Ig domains while the other two Ig domains are not involved as disclosed by the crystal structure analysis (). The same crystallographic study also reveals that LILRB1 interacts with the α3 domain of MHC1 via the N-terminal of D1 domain and the β2m subunit via the hinge region of D1-D2 domain (). This engagement induces a conformational alternation of LILRB1 and thereby exposure of the intracellular phosphorylated immunoreceptor tyrosine-based inhibitory motif (ITIM) domain to Src family protein-tyrosine kinases (). Upon the tyrosine residue is phosphorylated, the pITIM recruits Src homology 2 (SH2) domain containing phosphatases such as PTPN6, SHP-1, SHIP and SHP-2. For instance, the phosphorylation of Y533 has been shown to be involved in SHP-1 recruitment with Y614 as the main docking site (–). The activated phosphatase leads to the inactivation of ITAMs and inhibition of kinases critical for immune cell activation including SRC, PI3K/AKT, Syk/Zap70 and others (Figure 1) (). For these reasons, LILRB1 is considered as an immunosuppressive receptor and its engagement with MHC1 leads to suppressive immune responses.
3 Regulatory effect of the MHC1/LILRB1 Axis on innate immune cells
LILRB1 is the most widely expressed LILRB family member and its expression is demonstrated on various immune cell populations, including monocytes/macrophages, dendritic cells, and subsets of NK cells and T cells (, ). Therefore, LILRB1 activation through engaging MHC1 molecules are likely involved in broad spectrum of immune regulation, particularly in innate immune cells considering its high abundance on these cells.
3.1 MHC1–LILRB1 signaling in macrophages
Macrophages, being major components in innate immune systems, exhibit notable plasticity and functional diversity (). Being professional phagocytes and antigen presenting cells, they play a substantial role in the modulation of immune responses (). Within the microenvironment of tumors, macrophages engage in interactions with cancer cells and are subject to regulation by a diverse repertoire of signaling molecules (, ). These intricate interactions and regulatory mechanisms exert a profound impact on the immune activity and function of macrophages.
The rapid advancements in cancer immunotherapy have underscored the critical need for fundamental investigations into immunoregulation across both adaptive and innate cell lineages (). Tumor-capturing antibodies have demonstrated clinical utility in the treatment of various cancers, such as lymphomas, breast cancer, and colon cancer, etc (–). These antibodies exhibit diverse mechanisms of action, but their effectiveness is partially attributed to their capacity to induce antibody-dependent cellular phagocytosis of cancer cells (). A recent study by Weissman’s group has highlighted that the expression of MHC1 on tumor cells can impede macrophage-mediated phagocytosis. Importantly, they have found that tumor cells can harness the upregulation of MHC1 molecules as a strategy to effectively inhibit macrophage-mediated phagocytosis, as indicated by the clear correlation of MHC1 expression level and resistance to macrophage phagocytosis. Intriguingly, removal of MHC1 molecules from cancer cells through CRISPR-mediated knockout clearly suppresses tumor growth in vivo at a macrophage-dependent manner, suggesting that MHC1 as a potential target for cancer immunotherapy ().
Monocyte-lineage cells have been observed to express two MHC1-binding proteins namely LILRB1 and LILRB2, both of which not only bind to MHC1 but also possess ITIMs responsible for transmitting inhibitory signals intracellularly (, ). These characteristics position LILRB1 and LILRB2 as possible interacting partners on macrophages for mediating MHC1-associated suppression of phagocytosis. However, Barkal et al. has shown that LILRB1 but not LILRB2 is highly expressed in various subsets of tumor associated macrophages from human patients and interacts with MHC1 molecules, thereby exerting its inhibitory function on macrophage activity ().This finding holds significant implications for understanding the immunoregulatory mechanisms of macrophages and developing more effective strategies for cancer immunotherapy. The study lays the groundwork for exploring LILRB1’s functions, regulatory mechanisms, and its potential in immunotherapy. The downregulation of MHC expression enhances the susceptibility of cancer cells to macrophage-mediated attack (). A significant number of cancer types demonstrate compromised or absent surface MHC expression, which leads to impaired presentation of cancer neo-antigens (). Consequently, patients bearing this type of tumors may not be suitable candidates for T cell-based therapies. However, intriguingly, these individuals could potentially represent ideal candidates for immunotherapies that harness the power of macrophages phagocytosis ().
While macrophage-mediated immunotherapy has been extensively studied and has shown promising results in clinical practice (), it remains an evolving field that requires further refinement. Novel immunotherapy strategies can be developed by effectively modulating the activity and function of macrophages like blocking MHC1/LILRB1 axis to suit different cancer types and individual patient characteristics (). Nevertheless, there is still a need for ongoing research to optimize the efficacy of macrophage-mediated immunotherapy and overcome potential challenges and limitations associated with its implementation (Figure 2A).
Figure 2
3.2 MHC1–LILRB1 signaling in NK cells
NK cells play crucial roles in mediating anticancer immunity, and their effectiveness against cancer cells can be enhanced by engaging activating receptors or blocking inhibitory receptors (, ). Among the activating receptors, FcγRIII (CD16) is particularly important in antibody-dependent cellular cytotoxicity (ADCC) induced by therapeutic monoclonal antibodies (mAbs) (, ). These mAbs, such as rituximab for lymphoma, daratumumab for multiple myeloma (MM), cetuximab, and trastuzumab for metastatic solid cancer, engage CD16 and promote NK cell-mediated tumor cell destruction (–). Additionally, antibodies targeting the ligands of activating receptors like NKG2D and NKp46 have shown promising results in preclinical studies, indicating NK cell-dependent anti-tumor immunity (, ). Moreover, blocking inhibitory receptors on NK cells, such as LILRB1, KIR and NKG2A, with specific antibodies has been demonstrated to enhance NK cell function against cancer cells (–). Therefore, the function of NK cells is governed by a delicate balance between activating and inhibitory signals within the cell.
Unlike macrophages, the expression of LILRB1 is only restricted to a subpopulation of NK cells and at lower level (). For example, the surface level of LILRB1 varies significantly on NK cells between healthy individuals (). Usually, the LILRB1 level is relatively higher on FcγIIIA+CDlow56 NK cells compared to FcγIIIA-CDhigh56 NK cells (). While the clear reason for this differential expression remains obscure, it is likely that LILRB1 serves as a negative-feedback controlling mechanism to dampen FcγIIIA-dependent NK activation. Recent findings have shown that LILRB1 engagement by MHC1 reduces the activating synapse of NK cells via suppressing microtube re-organization and polarization of lytic granules (). Meanwhile, the ligation also inhibits Ca2+ mobilization, the release of interferon γ and therefore impairs NK cell mediated cytotoxicity (, ).
It is worth mentioning that LILRB1 is not the sole receptor for MHC1 engagement on NK cells. Killer inhibitory receptors (KIR), which are ubiquitously expressed on all types of NK cells, are the main MHC1 binding partners on NK cells (). Upon engagement with MHC1, KIR receptors transmit inhibitory signals to the cytolytic machinery of NK cells, thereby preventing the lysis of target cells (). The inhibitory signal is mediated, in part, by the binding of the Src homology domain-containing tyrosine phosphatase (SHP-1) to ITIMs within the cytoplasmic domains of KIRs (). This interaction leads to the dephosphorylation of signaling molecules that are crucial for the activation of NK cell cytolytic functions and release of inflammatory cytokines (Figure 2A).
3.3 MHC1–LILRB1 signaling in DC cells
Dendritic cells (DCs) are the most effective antigen presentation cells in the immune system, bridging the activation of innate and adaptive immunity (). They are capable of sensing imbalances in the body, secreting cytokines and growth factors, and processing antigens for presentation to T helper (Th) cells, thereby inducing initial T cell activation and differentiation into effector cells (). The precursor of DCs are monocytes or CD34+ progenitor cells which are highly expressed LILRB1. In differentiated DCs, the expression of LILRB1 is slightly upregulated and present in nearly all lineages upon maturation (, ). Additionally, stimulation with toll-like receptor (TLR) agonists such as lipopolysaccharide (LPS) or imiquimod has been demonstrated to further upregulate LILRB1 level in some subset of DCs, suggesting the dynamic expression of LILRB1 under various circumstances ().
DCs have been implicated in the induction of immune tolerance through their interaction with MHC1-LILRB1. This interaction transmits inhibitory signals that contribute to the suppression of immune responses, thereby preventing excessive activation and promoting tolerance. For instance, in the presence of a LILRB1 ligand, DCs cannot be fully activated by LPS and are unable to secrete inflammatory cytokines (, , ). Moreover, the ligation of LILRB1 with MHC1 also compromises the immune-stimulating effect of the osteoclast-associated receptor which is an activating FcR γ- chain associated myeloid receptor involved in antigen presentation (). Therefore, dysregulation of MHC1-LILRB1 signaling in DCs has been linked to the development of autoimmune disorders and cancer. Alterations in this pathway can have implications for immune surveillance, self-tolerance, and immune evasion by tumor cells (Figure 2A).
4 Emerging role of MHC1/LILRB1 axis as an innate immune checkpoint
Immune checkpoint proteins are regulatory molecules that act as gatekeepers of immune responses (). These receptors usually contain intracellular ITIM or immunoreceptor tyrosine-based switch motif (ITSM) and use them to deliver suppressing signals to immune cells (). In the past decades, several immune checkpoints, such as PD-1, CTLA4, LAG3, and TIM3, have been identified and usually associated with adaptive immunity, primarily regulating the function of T cells (, –).
In recent years, the concept of immune checkpoints has transformed cancer immunotherapy, allowing for remarkable advances in the field. In contrast, innate immune checkpoints are a relatively new concept, involving receptors and ligands regulating innate immune cell activity (, ). While much of the focus has been on adaptive immune checkpoints like PD-1/PD-L1, emerging research highlights the importance of innate immune checkpoints, with the MHC1/LILRB1 axis as the most recent one.
4.1 Role of MHC1/LILRB1 axis in cancer
MHC1 is a fundamental component of the immune system, responsible for presenting antigenic peptides to T cells (). Although MHC1 is traditionally associated with adaptive immune recognition, its engagement in innate immunity is gaining increasing recognition (, ). LILRB1 is predominantly expressed on innate immune cells, such as macrophages and dendritic cells (, ). LILRB1 can interact with MHC1 on tumor cells, forming an axis to transmit negative signals to innate immune cells (, ). Therefore, when LILRB1 ligates MHC1, it inhibits innate immune cells mediated anti-tumor responses.
Numerous studies have revealed that cancer cells can actively exploit this axis to evade immune surveillance by the innate immune system. As mentioned above, the main subunit on MHC1 interacting with LILRB1 is β2m, which remains at a low level in serum and synovial fluid under normal physiological conditions. In contrast, the elevation of β2m has been shown to be a significant prognostic marker for various types of cancers such as cervical cancer, ovarian cancer, gallbladder cancer and others (Figure 2B) (–). Since β2m is a non-covalent binder to MHC1 molecules, upregulation of β2m could increase the level MHC1 complexes to interact with LILRB1 and therefore help cancer cells evade the innate immune system during tumor progression (). However, the mechanisms underlying the dynamic regulation of β2m expression remain unexplored and warrant further investigations. It is worth mentioning that some cancer cells could reduce the expression of MHC1 molecules on their surface, because in this way they can hide themselves from the recognition and killing by cytotoxic T cells (). This also makes LILRB1 a better target than MHC1 from a therapeutic point of view.
In Tumor microenvironment (TME), the expression of LILRB1 is mainly restricted in tumor stroma with tumor-associated macrophages as the major immune cell populations. This has been demonstrated in various types of cancers (, ). Importantly, further analysis has shown that LILRB1-expressing macrophages bears an M2- like phenotype, probably due to tumor cell mediated education through MHC1 molecules (). Notably, it is reported that the ratio of LILRB1 expressing NK cells is higher in the peripheral blood of cancer patients compared to healthy controls (). Recent studies have suggested that the abundance of LILRB1 in the TME could serve as a prognostic feature as well. For example, a clear association of LILRB1 expression level with advanced tumor stages and inferior survival rate has been demonstrated in gastric cancer (). In ovarian cancer, a shorter survival, and worse adjuvant chemotherapy responses can be predicted by a high content of LILRB1-positive immune cells (). The intricate relationship between LILRB1 expression and the tumor microenvironment highlights its potential as a significant prognostic marker across different cancers, providing valuable insights into disease progression and treatment outcomes.
4.2 Targeting MHC1/LILRB1 axis in cancer therapy
Due to the important inhibitory function of MHC1/LILRB1 axis on innate immune cells, therapeutic disruption of this interaction may offer beneficial effects through unleashing anti-tumor innate immunity. Barkal et al. initially used GHI/75, a monoclonal antibody derived from murine hybridoma, to block MHC1/LILRB1 interaction. They showed that this antibody enhances macrophage-mediated phagocytosis of solid tumor cells which can be largely boosted when combining with CD47-targeted antibody magrolimab. Additionally, LILRB1 antibody can increase CD20 antibody-induced phagocytosis and EGFR antibody-induced phagocytosis in the presence or absence of an Fc-silent CD47 antibody (). Together, this compelling evidence suggests that LILRB1 blockade can induce macrophage-mediated tumor elimination through enhancing antibody-dependent cellular phagocytosis (Figure 2C).
Emerging evidence also shows that LILRB1 blockade leads to anti-tumor effects through NK cells. For example, in chronic lymphocytic leukimia, combination of LILRB1 antibody with lenalidomide promotes lysis of tumor cells through activation of NK cells (). LILRB1 antibody produces similar effects against glioblastoma cells at a NK cell dependent manner. B1–176 is a humanized, Fc-engineered antibody to disrupt LILRB1 signaling and shows enhanced natural cytotoxicity against various tumor cell lines and in vivo xenografts (). As mentioned previously, LILRB1 has been shown to inhibit antibody-mediated cellular cytotoxicity by NK cells (). Thus, the combination of LILRB1 blockade with cetuximab has been tested in triple-negative breast cancer and showed significant synergistic effects in elimination of tumor cells through NK cells (Figure 2C) ().
The above promising results in preclinical models have paved the way for clinical trials for LILRB1 antagonists in patients with cancer. BND-22 is a promising therapeutic agent that specifically targets the LILRB1 receptor. It is an antibody antagonist designed to disrupt the interactions between LILRB1 and its ligands, thereby modulating the immune response against solid tumors (). Preclinical studies have demonstrated the potential of BND-22 in inhibiting tumor growth and metastasis. By blocking the LILRB1-mediated inhibitory signals, BND-22 promotes the activation of natural killer (NK) cells and CD8+ lymphocytes, which are key components of the antitumor immune response. This activation leads to enhanced cytotoxicity against tumor cells and improved tumor clearance. One of the mechanisms by which BND-22 exerts its antitumor effects is through the activation of macrophages. Normally, LILRB1 signaling in macrophages prevents them from engulfing tumor cells, allowing the tumor to evade immune surveillance. By blocking LILRB1 with BND-22, macrophages are relieved from this inhibitory signal and can effectively phagocytose tumor cells, leading to tumor regression. In preclinical models, BND-22 has shown promising results in various types of solid tumors, including melanoma and colorectal cancer (). It has demonstrated significant inhibition of tumor growth, prolonged survival, and reduced metastasis. These findings suggest that targeting LILRB1 with BND-22 may have therapeutic potential in the treatment of solid tumors. Further studies are needed to evaluate the safety, efficacy, and optimal dosing strategies of BND-22 in clinical settings (). Clinical trials are currently being conducted to assess the therapeutic benefits of BND-22 in patients with solid tumors (clinical trial identifier: NCT04717375). If successful, BND-22 could potentially become an important addition to cancer immunotherapy, providing a novel approach to enhance immune responses against solid tumors and improve patient outcomes (Figure 2C).
5 Perspectives
The cancer-immune axis serves as a crucial cellular checkpoint, by which the immune system controls immune responses against cancer. In contrast, cancer cells often hijack these mechanisms to evade immune surveillance and progress. MHC1/LILRB1 seems to be such an axis to regulate innate immune responses for various types of cancer. Intriguingly, therapeutic blockades disrupting MHC1/LILRB1 interaction have been advanced in clinical trials, displaying a great promise for the therapy of cancer. Nevertheless, one should note that this field is still in its infancy and more studies are warranted to further investigate research directions including but not limited to (1) identification of possible alternative ligands on cancer cells to interact with LILRB1; (2) assess the function of immune cells according to induvial patients upon LILRB1 blockade treatment; (3) evaluate alteration of cytokine profiles of immune cells when inhibiting LILRB1; (4) demonstrate to what extent the expression of other inhibitory receptors may impact the efficacy of LILRB1 targeting agents and (5) therefore discover the rational combination for synergism to test in preclinical and clinical studies. Ultimately, it is hopeful that completion of these studies will help turn this promising strategy into a real therapy for human cancer.
Statements
Author contributions
ZHu: Writing – original draft, Writing – review & editing, Conceptualization, Investigation, Project administration, Visualization. QZ: Writing – original draft, Writing – review & editing, Software, Visualization. ZHe: Writing – original draft, Writing – review & editing, Visualization. XJ: Writing – original draft, Writing – review & editing, Investigation. WZ: Writing – original draft, Writing – review & editing, Investigation. XC: Writing – original draft, Writing – review & editing, Conceptualization, Funding acquisition, Investigation, Project administration, Supervision.
Funding
The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This work was funded by National Natural Science Foundation of China (82373892) to XC and the startup funding of Shanghai Jiao Tong University to XC.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
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Summary
Keywords
MHC1, LILRB1, innate immunity, cancer immunotherapy, immune regulation
Citation
Hu Z, Zhang Q, He Z, Jia X, Zhang W and Cao X (2024) MHC1/LILRB1 axis as an innate immune checkpoint for cancer therapy. Front. Immunol. 15:1421092. doi: 10.3389/fimmu.2024.1421092
Received
21 April 2024
Accepted
27 May 2024
Published
07 June 2024
Volume
15 - 2024
Edited by
Jochen Mattner, University of Erlangen Nuremberg, Germany
Reviewed by
Benyamin Rosental, Ben-Gurion University of the Negev, Israel
Updates
Copyright
© 2024 Hu, Zhang, He, Jia, Zhang and Cao.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Xu Cao, xcao@sjtu.edu.cn
Disclaimer
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