Zeller, Tobias; Münnich, Ira A.; Windisch, Roland; Hilger, Patricia; Schewe, Denis M.; Humpe, Andreas; Kellner, Christian (2023): Perspectives of targeting LILRB1 in innate and adaptive immune checkpoint therapy of cancer. Frontiers in Immunology, 14: 1240275. ISSN 1664-3224
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Abstract
Immune checkpoint blockade is a compelling approach in tumor immunotherapy. Blocking inhibitory pathways in T cells has demonstrated clinical efficacy in different types of cancer and may hold potential to also stimulate innate immune responses. A novel emerging potential target for immune checkpoint therapy is leukocyte immunoglobulin-like receptor subfamily B member 1 (LILRB1). LILRB1 belongs to the superfamily of leukocyte immunoglobulin-like receptors and exerts inhibitory functions. The receptor is expressed by a variety of immune cells including macrophages as well as certain cytotoxic lymphocytes and contributes to the regulation of different immune responses by interaction with classical as well as non-classical human leukocyte antigen (HLA) class I molecules. LILRB1 has gained increasing attention as it has been demonstrated to function as a phagocytosis checkpoint on macrophages by recognizing HLA class I, which represents a ‘Don’t Eat Me!’ signal that impairs phagocytic uptake of cancer cells, similar to CD47. The specific blockade of the HLA class I:LILRB1 axis may provide an option to promote phagocytosis by macrophages and also to enhance cytotoxic functions of T cells and natural killer (NK) cells. Currently, LILRB1 specific antibodies are in different stages of pre-clinical and clinical development. In this review, we introduce LILRB1 and highlight the features that make this immune checkpoint a promising target for cancer immunotherapy.
Doc-Type: | Article (LMU Hospital) |
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Organisational unit (Faculties): | 07 Medicine > Medical Center of the University of Munich > Clinic for Anaesthesiology |
DFG subject classification of scientific disciplines: | Life sciences |
Date Deposited: | 04. Oct 2023 14:09 |
Last Modified: | 07. Dec 2023 12:19 |
URI: | https://oa-fund.ub.uni-muenchen.de/id/eprint/914 |
DFG: | Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) - 491502892 |