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Usage Information

Antibody-based targeting of FGFR3 in bladder carcinoma and t(4;14)-positive multiple myeloma in mice
Jing Qing, … , Christian Wiesmann, Avi Ashkenazi
Jing Qing, … , Christian Wiesmann, Avi Ashkenazi
Published April 20, 2009
Citation Information: J Clin Invest. 2009;119(5):1216-1229. https://doi.org/10.1172/JCI38017.
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Research Article

Antibody-based targeting of FGFR3 in bladder carcinoma and t(4;14)-positive multiple myeloma in mice

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Abstract

Overexpression of FGF receptor 3 (FGFR3) is implicated in the development of t(4;14)-positive multiple myeloma. While FGFR3 is frequently overexpressed and/or activated through mutations in bladder cancer, the functional importance of FGFR3 and its potential as a specific therapeutic target in this disease have not been elucidated in vivo. Here we report that inducible knockdown of FGFR3 in human bladder carcinoma cells arrested cell-cycle progression in culture and markedly attenuated tumor progression in xenografted mice. Further, we developed a unique antibody (R3Mab) that inhibited not only WT FGFR3, but also various mutants of the receptor, including disulfide-linked cysteine mutants. Biochemical analysis and 2.1-Å resolution crystallography revealed that R3Mab bound to a specific FGFR3 epitope that simultaneously blocked ligand binding, prevented receptor dimerization, and induced substantial conformational changes in the receptor. R3Mab exerted potent antitumor activity against bladder carcinoma and t(4;14)-positive multiple myeloma xenografts in mice by antagonizing FGFR3 signaling and eliciting antibody-dependent cell-mediated cytotoxicity (ADCC). These studies provide in vivo evidence demonstrating an oncogenic role of FGFR3 in bladder cancer and support antibody-based targeting of FGFR3 in hematologic and epithelial cancers driven by WT or mutant FGFR3.

Authors

Jing Qing, Xiangnan Du, Yongmei Chen, Pamela Chan, Hao Li, Ping Wu, Scot Marsters, Scott Stawicki, Janet Tien, Klara Totpal, Sarajane Ross, Susanna Stinson, David Dornan, Dorothy French, Qian-Rena Wang, Jean-Philippe Stephan, Yan Wu, Christian Wiesmann, Avi Ashkenazi

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Usage data is cumulative from May 2024 through May 2025.

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