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Cancer immunology research · 2025

A "Function-First" Approach to Identify Regulatory T cell-Targeting Antibodies for Immunotherapy.

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Cleary Kirstie L S, Semmrich Monika, Martensson Linda, Tornberg Ulla-Carin, Ermert David, Taylor Martin C, Oldham Robert J, Dadas Osman, Buckingham Josephine F, Kim Jinny, Chan H T Claude, Palm Angelica, Fischer Ann-Helen, Boden Mimoza, Mattsson Jenny, Holmkvist Petra, Lim Sean H, Beers Stephen A, Frendeus Bjorn, Teige Ingrid, Cragg Mark S

Аннотация

Despite advances in cancer immunotherapy, treatment response is still highly variable. One contributing factor is the tumor microenvironment and specifically the presence of suppressive immune cells such as regulatory T (Treg) cells. Being able to target these specifically, while leaving effector T-cell populations untouched, is an attractive strategy that may overcome some of these issues, improving responses. To generate antibodies specific for tumor-associated Tregs, lymphocytes were isolated from tumor-bearing mice and panned against the n-CoDeR phage antibody library. Using the target-agnostic F.I.R.S.T. discovery platform, they were evaluated in ex vivo and in vivo models to determine tissue and cell selectivity and specificity and ability to deplete Tregs and elicit tumor control in subcutaneous tumor models. A total of 24 antibodies were identified and explored, representing a range of specificities from pan-T cell to Treg and tumor Treg specific. Relative expression/binding of these mAbs on tumor Tregs was not a predictor of subsequent Treg deletion efficacy or tumor control, whereas tumor Treg selectivity was. One mAb in particular demonstrated tumor-specific depletion of Tregs, leaving those in the spleen and blood untouched. This Fc:FcγR-mediated tumor-specific Treg depletion was important for antitumor effects. Target deconvolution showed that this mAb binds a distinct epitope within ICAM-1, which is hypothesized to mediate its selectivity toward tumor Tregs. These data validate the target-agnostic discovery approach as a viable means to identify new therapeutic antibodies.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты