The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
The binding of an anti-PD-1 antibody to FcγRΙ has a profound impact on its biological functions
Open accessAbstract
Antibodies targeting PD-1 have been demonstrated durable anti-cancer activity in certain cancer types. However, the anti-PD-1 antibodies are less or not efficacious in many situations, which might be attributed to co-expression of multiple inhibitory receptors or presence of immunosuppressive cells in the tumor microenvironment. Most of the anti-PD-1 antibodies used in clinical studies are of IgG4 isotype with the S228P mutation (IgG4 S228P ). The functional impact by the interaction of anti-PD-1 IgG4 S228P antibody with Fc gamma receptors (FcγRs) is poorly understood. To assess the effects, we generated a pair of anti-PD-1 antibodies: BGB-A317/IgG4 S228P and BGB-A317/IgG4-variant (abbreviated as BGB-A317), with the same variable regions but two different IgG4 Fc-hinge sequences. There was no significant difference between these two antibodies in binding to PD-1. However, BGB-A317/IgG4 S228P binds to human FcγRI with high affinity and mediates crosslinking between PD-1 and FcγRI. In contrast, BGB-A317 does neither. Further cell-based assays showed that such crosslinking could reverse the function of an anti-PD-1 antibody from blocking to activating. More importantly, the crosslinking induces FcγRI + macrophages to phagocytose PD-1 + T cells. In a mouse model transplanted with allogeneic human cancer cells and PBMCs, BGB-A317 showed significant tumor growth inhibition, whereas BGB-A317/IgG4 S228P had no such inhibition. Immunohistochemistry study revealed an inverse correlation between FcγRI + murine macrophage infiltration and the density of CD8 + PD-1 + human T cells within tumors in the BGB-A317/IgG4 S228P -treated group. These evidences suggested that FcγRI + binding and crosslinking had negative impact on the anti-PD-1 antibody-mediated anti-cancer activity.
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Safety, activity, and immune correlates of anti–PD-1 antibody in cancer
Topalian, S. L., Hodi, F. S., Brahmer, J. R., Gettinger, S. N., Smith, D. C., McDermott, D. F., Powderly, J. D., Carvajal, R. D., Sosman, J. A., Atkins, M. B., et al. (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1200690 · Cited by 12,628
Pembrolizumab for the Treatment of Non–Small-Cell Lung Cancer
Garon, E. B., Rizvi, N. A., Hui, R., Leighl, N., Balmanoukian, A. S., Eder, J. P., Patnaik, A., Aggarwal, C., Gubens, M., Horn, L., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1501824 · Cited by 6,198
PD-1 and Its Ligands in Tolerance and Immunity
Keir, M. E., Butte, M. J., Freeman, G. J., & Sharpe, A. H. (2008) · Annual Review of Immunology · doi:10.1146/annurev.immunol.26.021607.090331 · Cited by 5,378
Nivolumab for Recurrent Squamous-Cell Carcinoma of the Head and Neck
Ferris, R. L., Blumenschein, G., Fayette, J., Guigay, J., Colevas, A. D., Licitra, L., Harrington, K., Kasper, S., Vokes, E. E., Even, C., et al. (2016) · New England Journal of Medicine · doi:10.1056/nejmoa1602252 · Cited by 5,101
Tumor-Associated Macrophages: From Mechanisms to Therapy
Noy, R., & Pollard, J. W. (2014) · Immunity · doi:10.1016/j.immuni.2014.06.010 · Cited by 4,089
Pembrolizumab as Second-Line Therapy for Advanced Urothelial Carcinoma
Bellmunt, J., de Wit, R., Vaughn, D. J., Fradet, Y., Lee, J.-L., Fong, L., Vogelzang, N. J., Climent, M. A., Petrylak, D. P., Choueiri, T. K., et al. (2017) · New England Journal of Medicine · doi:10.1056/nejmoa1613683 · Cited by 3,395
Macrophage Cytokines: Involvement in Immunity and Infectious Diseases
Arango Duque, G., & Descoteaux, A. (2014) · Frontiers in Immunology · doi:10.3389/fimmu.2014.00491 · Cited by 2,708 · cited 2×
“ADCP Antibody-dependent cell phagocytosis CTL Cytotoxic T cell FcγR Fc gamma receptor IL-2 Interleukin 2 IL-6 Interleukin 6 IL-8 Interleukin 8 IL-10 Interleukin 10 LAMP1 Lysosomal-associated membrane protein 1 M2 macrophages Type 2 macrophages MDSC Myeloid-derived suppressor cell MFI Mean fluorescence intensity PBMC P…”
BackgroundMacrophages and Therapeutic Resistance in Cancer
Ruffell, B., & Coussens, L. M. (2015) · Cancer Cell · doi:10.1016/j.ccell.2015.02.015 · Cited by 1,474
Arlauckas, S. P., Garris, C. S., Kohler, R. H., Kitaoka, M., Cuccarese, M. F., Yang, K. S., Miller, M. A., Carlson, J. C., Freeman, G. J., Anthony, R. M., et al. (2017) · Science Translational Medicine · doi:10.1126/scitranslmed.aal3604 · Cited by 669
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Wang, J., Lu, S., Yu, X., Hu, Y., Sun, Y., Wang, Z., Zhao, J., Yu, Y., Hu, C., Yang, K., et al. (2021) · JAMA Oncology · doi:10.1001/jamaoncol.2021.0366 · Cited by 396
Self-citationShen, L., Kato, K., Kim, S.-B., Ajani, J. A., Zhao, K., He, Z., Yu, X., Shu, Y., Luo, Q., Wang, J., et al. (2022) · Journal of Clinical Oncology · doi:10.1200/jco.21.01926 · Cited by 322
Qiu, M.-Z., Oh, D.-Y., Kato, K., Arkenau, T., Tabernero, J., Correa, M. C., Zimina, A. V., Bai, Y., Shi, J., Lee, K.-W., et al. (2024) · BMJ · doi:10.1136/bmj-2023-078876 · Cited by 292
Lu, S., Wang, J., Yu, Y., Yu, X., Hu, Y., Ai, X., Ma, Z., Li, X., Zhuang, W., Liu, Y., et al. (2021) · Journal of Thoracic Oncology · doi:10.1016/j.jtho.2021.05.005 · Cited by 284
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Metadata
- Authors
- Zhang, T., Song, X., Xu, L., Ma, J., Zhang, Y., Gong, W., Zhang, Y., Zhou, X., Wang, Z., Wang, Y., Shi, Y., Bai, H., Liu, N., Yang, X., Cui, X., Cao, Y., Liu, Q., Song, J., Li, Y., Tang, Z., Guo, M., Wang, L., & Li, K.
- Venue
- Cancer Immunology, Immunotherapy
- Published
- 2018-04-23
- Volume
- 67
- Issue
- 7
- Pages
- 1079-1090
- ISSN
- 0340-7004 (ISSN-L)
- 1432-0851
- OpenAlex
- W2799565954
- Cited by
- 290
- References
- 9
- FWCI
- 11.97
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Zhang, T., Song, X., Xu, L., Ma, J., Zhang, Y., Gong, W., Zhang, Y., Zhou, X., Wang, Z., Wang, Y., Shi, Y., Bai, H., Liu, N., Yang, X., Cui, X., Cao, Y., Liu, Q., Song, J., Li, Y., . . . Li, K. (2018). The binding of an anti-PD-1 antibody to FcγRΙ has a profound impact on its biological functions. Cancer Immunology, Immunotherapy. https://doi.org/10.1007/s00262-018-2160-x
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.