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Identification of potent biparatopic antibodies targeting FGFR2 fusion–driven cholangiocarcinoma
Saireudee Chaturantabut, … , Nabeel Bardeesy, William R. Sellers
Saireudee Chaturantabut, … , Nabeel Bardeesy, William R. Sellers
Published February 27, 2025
Citation Information: J Clin Invest. 2025;135(8):e182417. https://doi.org/10.1172/JCI182417.
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Research Article Oncology

Identification of potent biparatopic antibodies targeting FGFR2 fusion–driven cholangiocarcinoma

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Abstract

Translocations involving FGFR2 gene fusions are common in cholangiocarcinoma and predict response to FGFR kinase inhibitors. However, response rates and durability are limited due to the emergence of resistance, typically involving FGFR2 kinase domain mutations, and to suboptimal dosing, relating to drug adverse effects. Here, we develop biparatopic antibodies targeting the FGFR2 extracellular domain (ECD) as candidate therapeutics. Biparatopic antibodies can overcome drawbacks of bivalent monospecific antibodies, which often show poor inhibitory or even agonist activity against oncogenic receptors. We show that oncogenic transformation by FGFR2 fusions requires an intact ECD. Moreover, by systematically generating biparatopic antibodies targeting distinct epitope pairs in FGFR2 ECD, we identified antibodies that effectively block signaling and malignant growth driven by FGFR2 fusions. Importantly, these antibodies demonstrate efficacy in vivo, synergy with FGFR inhibitors, and activity against FGFR2 fusions harboring kinase domain mutations. Thus, we believe that biparatopic antibodies may serve as an innovative treatment option for patients with FGFR2-altered cholangiocarcinoma.

Authors

Saireudee Chaturantabut, Sydney Oliver, Dennie T. Frederick, Jiwan J. Kim, Foxy P. Robinson, Alessandro Sinopoli, Tian-Yu Song, Yao He, Yuan-Chen Chang, Diego J. Rodriguez, Liang Chang, Devishi Kesar, Meilani Ching, Ruvimbo Dzvurumi, Adel Atari, Yuen-Yi Tseng, Nabeel Bardeesy, William R. Sellers

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Figure 3

Identification of potent tumor growth–inhibiting biparatopic antibodies via unbiased screening.

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Identification of potent tumor growth–inhibiting biparatopic antibodies ...
(A) Illustrations showing strategy for biparatopic antibody generation. (B) A diagram showing all 15 possible biparatopic antibody pairs that were generated from 6 parental antibodies A–F. (C and D) Viability of FGFR2-AHCYL1 overexpressing BaF3 cells upon treatment with IgG1, biparatopic antibodies, and their parental antibodies in the absence (C) and presence of FGF10 (D) (n = 2). Data are representative of 1 out of 2 independent experiments. (E) Binding affinities (Kd, nM) of parental antibodies (gray) compared with biparatopic antibodies (blue) from MSD-SET assay. Biparatopic antibodies bpAb-B/D and bpAb-B/C showed apparent binding affinities (apparent Kd) of 0.07 nM (orange bar) and 0.18 nM (pink bar), respectively (n = 2). Data are representative of 1 independent experiment. (F) Representative binding curves illustrating the binding avidity between FGFR2-PHGDH expressing NIH3T3 cells and antibody B, D, C or biparatopic antibody bpAb-B/C and bpAb-B/D via acoustic force spectroscopy (n = 4–6). Data are representative of 1 independent experiment.

Copyright © 2025 American Society for Clinical Investigation
ISSN: 0021-9738 (print), 1558-8238 (online)

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