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Structure-guided and phage-assisted evolution of a therapeutic anti-EGFR antibody to reverse acquired resistance

Author

Listed:
  • Xinlei Zhuang

    (Zhejiang University)

  • Zhe Wang

    (Zhejiang University)

  • Jiansheng Fan

    (Zhejiang University)

  • Xuefei Bai

    (Zhejiang University)

  • Yingchun Xu

    (Zhejiang University)

  • James J. Chou

    (Harvard Medical School)

  • Tingjun Hou

    (Zhejiang University)

  • Shuqing Chen

    (Zhejiang University
    ZJU-Hangzhou Global Scientific and Technological Innovation Center)

  • Liqiang Pan

    (Zhejiang University
    Zhejiang University School of Medicine
    Key Laboratory of Pancreatic Disease of Zhejiang Province)

Abstract

Acquired resistance to cetuximab in colorectal cancers is partially mediated by the acquisition of mutations located in the cetuximab epitope in the epidermal growth factor receptor (EGFR) ectodomain and hinders the clinical application of cetuximab. We develop a structure-guided and phage-assisted evolution approach for cetuximab evolution to reverse EGFRS492R- or EGFRG465R-driven resistance without altering the binding epitope or undermining antibody efficacy. Two evolved cetuximab variants, Ctx-VY and Ctx-Y104D, exhibit a restored binding ability with EGFRS492R, which harbors the most common resistance substitution, S492R. Ctx-W52D exhibits restored binding with EGFR harboring another common cetuximab resistance substitution, G465R (EGFRG465R). All the evolved cetuximab variants effectively inhibit EGFR activation and downstream signaling and induce the internalization and degradation of EGFRS492R and EGFRG465R as well as EGFRWT. The evolved cetuximab variants (Ctx-VY, Ctx-Y104D and Ctx-W52D) with one or two amino acid substitutions in the complementarity-determining region inherit the optimized physical and chemical properties of cetuximab to a great extent, thus ensuring their druggability. Our data collectively show that structure-guided and phage-assisted evolution is an efficient and general approach for reversing receptor mutation-mediated resistance to therapeutic antibody drugs.

Suggested Citation

  • Xinlei Zhuang & Zhe Wang & Jiansheng Fan & Xuefei Bai & Yingchun Xu & James J. Chou & Tingjun Hou & Shuqing Chen & Liqiang Pan, 2022. "Structure-guided and phage-assisted evolution of a therapeutic anti-EGFR antibody to reverse acquired resistance," Nature Communications, Nature, vol. 13(1), pages 1-16, December.
  • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-32159-6
    DOI: 10.1038/s41467-022-32159-6
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    References listed on IDEAS

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    1. Beth O. Van Emburgh & Sabrina Arena & Giulia Siravegna & Luca Lazzari & Giovanni Crisafulli & Giorgio Corti & Benedetta Mussolin & Federica Baldi & Michela Buscarino & Alice Bartolini & Emanuele Valto, 2016. "Acquired RAS or EGFR mutations and duration of response to EGFR blockade in colorectal cancer," Nature Communications, Nature, vol. 7(1), pages 1-9, December.
    2. Sarel J Fleishman & Andrew Leaver-Fay & Jacob E Corn & Eva-Maria Strauch & Sagar D Khare & Nobuyasu Koga & Justin Ashworth & Paul Murphy & Florian Richter & Gordon Lemmon & Jens Meiler & David Baker, 2011. "RosettaScripts: A Scripting Language Interface to the Rosetta Macromolecular Modeling Suite," PLOS ONE, Public Library of Science, vol. 6(6), pages 1-10, June.
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