{"title":"Fc-optimized GITR antibody enhances a CD4 T cell–dendritic cell crosstalk to promote antitumor immunity","authors":"Yahel Avraham, Natasha Barth, Tzlil Yair Bar-On, Barak Toval, Aviya Habshush Menachem, Jasmine Blanga, Ella Herzog, Hagar Rotem, Yuval Shapir Itai, Tali Feferman, Moshe Biton, Rony Dahan","doi":"10.1038/s43018-026-01207-1","DOIUrl":null,"url":null,"abstract":"Targeting the stimulatory immune checkpoint glucocorticoid-induced TNFR-related protein (GITR) using agonistic monoclonal antibodies (mAbs) is a promising strategy for cancer immunotherapy that activates effector T cells and eliminates regulatory T cells. The antitumor activity of anti-GITR mAbs depends on the engagement of the fragment crystallizable (Fc) domain to their receptors (FcγRs); however, this has not been comprehensively investigated in human anti-GITR mAbs. Here, we used Fc protein and glycan engineering to modify the FcγR interactions of anti-GITR human mAbs and characterized them in humanized mice. We identified an Fc-optimized human IgG scaffold that enhances antitumor efficacy through multiple FcγR-mediated mechanisms, including regulatory T cell depletion and mutual engagement and activation of CD4+ T cells and dendritic cells, leading to antitumor cytotoxicity of CD4+ T cells and enhanced CD8+ T cell activity. Our findings suggest a strategy to optimize human anti-GITR mAbs, harnessing beneficial immune pathways to improve their therapeutic potential. Avraham et al. engineered an anti-GITR human antibody with an optimized Fc domain that engages the activating Fcγ receptors IIa and IIIa to enhance antitumor efficacy through the depletion of regulatory T cells and activation of CD4+ T cells and dendritic cells.","PeriodicalId":18885,"journal":{"name":"Nature cancer","volume":"7 9","pages":"1419-1435"},"PeriodicalIF":28.0000,"publicationDate":"2026-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.comhttps://www.nature.com/articles/s43018-026-01207-1.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature cancer","FirstCategoryId":"3","ListUrlMain":"https://www.nature.com/articles/s43018-026-01207-1","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ONCOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Targeting the stimulatory immune checkpoint glucocorticoid-induced TNFR-related protein (GITR) using agonistic monoclonal antibodies (mAbs) is a promising strategy for cancer immunotherapy that activates effector T cells and eliminates regulatory T cells. The antitumor activity of anti-GITR mAbs depends on the engagement of the fragment crystallizable (Fc) domain to their receptors (FcγRs); however, this has not been comprehensively investigated in human anti-GITR mAbs. Here, we used Fc protein and glycan engineering to modify the FcγR interactions of anti-GITR human mAbs and characterized them in humanized mice. We identified an Fc-optimized human IgG scaffold that enhances antitumor efficacy through multiple FcγR-mediated mechanisms, including regulatory T cell depletion and mutual engagement and activation of CD4+ T cells and dendritic cells, leading to antitumor cytotoxicity of CD4+ T cells and enhanced CD8+ T cell activity. Our findings suggest a strategy to optimize human anti-GITR mAbs, harnessing beneficial immune pathways to improve their therapeutic potential. Avraham et al. engineered an anti-GITR human antibody with an optimized Fc domain that engages the activating Fcγ receptors IIa and IIIa to enhance antitumor efficacy through the depletion of regulatory T cells and activation of CD4+ T cells and dendritic cells.
期刊介绍:
Cancer is a devastating disease responsible for millions of deaths worldwide. However, many of these deaths could be prevented with improved prevention and treatment strategies. To achieve this, it is crucial to focus on accurate diagnosis, effective treatment methods, and understanding the socioeconomic factors that influence cancer rates.
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