Novel nanobody-161 binds tumor necrosis factor receptor 2 (TNFR2) to exert an anti-tumor effect but does not block TNFα-binding
Year: 2025
Type: article
Abstract: Background: Tumor necrosis factor receptor 2 (TNFR2) is expressed on regulatory T cells (Tregs) and many cancer cells indicating its potential as a therapeutic target. Traditional non-blocking antagonists often disrupt immune homeostasis by excessively suppressing Treg cell function when blocking the TNFα signaling pathway, weakening the body's antitumor immune response. A novel anti-cancer mechanism for targeting TNFR2 is presented and clinical potential discussed. Methods: A novel humanized anti-TNFR2 nanobody, Nanobody-161, was identified from the Sanyou Bio Super Trillion Antibody Library in the current work and the non-blocking effect of Nanobody-161 in TNFα-TNFR2 signaling investigated. A transgenic mouse model was established to investigate its anti-tumor activity. The crystal structure of the complex with TNFR2 was also analyzed. Results: Nanobody-161 had antitumor activity in a transgenic mouse model, reducing tumor weight by 5-fold at a dose of 7.5 mg/kg and inhibited TNFα-TNFR2 signaling in HEK293 cells overexpressing human TNFR2 with 10-fold greater potency than traditional antagonists. Nanobody-161 was not observed to disrupt TNFα-induced Treg proliferation in peripheral blood mononuclear cells. Nanobody-161 mediated Fc-dependent CD8+ T cell activation and TNFR2+ Tregs in the tumor microenvironment were depleted by antibody-dependent cell-mediated cytotoxicity (ADCC). The structure of Nanobody-161 VHH in complex with TNFR2 was determined at 2.9 Å resolution and epitopes of TNFR2 CRD2 and CRD3 were identified. Nanobody-161 may inhibit TNFR2 oligomerization but was not observed to block TNFα binding. Conclusion: Nanobody-161 is a novel non-blocking TNFR2-antogonist that inhibits tumor growth without causing immunosuppression and is a promising candidate for safer and more effective therapy of solid tumors.
Source: Frontiers in Immunology
Authors: Liang Huang, Chao Kong, Yuhao Hu, Michael Zhang, Shuangqi Li, Wanjing Wang, Hui Guan, Mei Ling Lim, Zhen Zhang, Wenhai Zhang, Hailiang Zheng, Xintian Yan, Xinglu Sun, Pan Lei, Shanshan Dai, Wenrong Wang, Linlin Lu, Junma Zhou, Shilong Fan, Guojun Lang
Language: English
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,801
OpenAlex ID: W4417103123
