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Biochemical and structural basis for differential inhibitor sensitivity of EGFR with distinct exon 19 mutations

Author

Listed:
  • Iris K. Alderwerelt van Rosenburgh

    (Yale University School of Medicine
    Yale University West Campus
    Yale University School of Medicine)

  • David M. Lu

    (Yale University School of Medicine
    Yale University West Campus
    Yale University School of Medicine)

  • Michael J. Grant

    (Yale University School of Medicine
    Yale School of Medicine)

  • Steven E. Stayrook

    (Yale University School of Medicine
    Yale University West Campus
    Yale University School of Medicine)

  • Manali Phadke

    (Yale School of Public Health)

  • Zenta Walther

    (Yale University School of Medicine
    Yale University School of Medicine)

  • Sarah B. Goldberg

    (Yale University School of Medicine
    Yale School of Medicine)

  • Katerina Politi

    (Yale University School of Medicine
    Yale School of Medicine
    Yale University School of Medicine)

  • Mark A. Lemmon

    (Yale University School of Medicine
    Yale University West Campus
    Yale University School of Medicine)

  • Kumar D. Ashtekar

    (Yale University School of Medicine
    Yale University West Campus
    Yale University School of Medicine)

  • Yuko Tsutsui

    (Yale University School of Medicine
    Yale University West Campus
    Yale University School of Medicine)

Abstract

Tyrosine kinase inhibitors (TKIs) are used to treat non-small cell lung cancers (NSCLC) driven by epidermal growth factor receptor (EGFR) mutations in the tyrosine kinase domain (TKD). TKI responses vary across tumors driven by the heterogeneous group of exon 19 deletions and mutations, but the molecular basis for these differences is not understood. Using purified TKDs, we compared kinetic properties of several exon 19 variants. Although unaltered for the second generation TKI afatinib, sensitivity varied significantly for both the first and third generation TKIs erlotinib and osimertinib. The most sensitive variants showed reduced ATP-binding affinity, whereas those associated with primary resistance retained wild type ATP-binding characteristics (and low KM, ATP). Through crystallographic and hydrogen-deuterium exchange mass spectrometry (HDX-MS) studies, we identify possible origins for the altered ATP-binding affinity underlying TKI sensitivity and resistance, and propose a basis for classifying uncommon exon 19 variants that may have predictive clinical value.

Suggested Citation

  • Iris K. Alderwerelt van Rosenburgh & David M. Lu & Michael J. Grant & Steven E. Stayrook & Manali Phadke & Zenta Walther & Sarah B. Goldberg & Katerina Politi & Mark A. Lemmon & Kumar D. Ashtekar & Yu, 2022. "Biochemical and structural basis for differential inhibitor sensitivity of EGFR with distinct exon 19 mutations," Nature Communications, Nature, vol. 13(1), pages 1-16, December.
  • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-34398-z
    DOI: 10.1038/s41467-022-34398-z
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    1. Kathryn Tunyasuvunakool & Jonas Adler & Zachary Wu & Tim Green & Michal Zielinski & Augustin Žídek & Alex Bridgland & Andrew Cowie & Clemens Meyer & Agata Laydon & Sameer Velankar & Gerard J. Kleywegt, 2021. "Highly accurate protein structure prediction for the human proteome," Nature, Nature, vol. 596(7873), pages 590-596, August.
    2. John Jumper & Richard Evans & Alexander Pritzel & Tim Green & Michael Figurnov & Olaf Ronneberger & Kathryn Tunyasuvunakool & Russ Bates & Augustin Žídek & Anna Potapenko & Alex Bridgland & Clemens Me, 2021. "Highly accurate protein structure prediction with AlphaFold," Nature, Nature, vol. 596(7873), pages 583-589, August.
    3. Jacqulyne P. Robichaux & Xiuning Le & R. S. K. Vijayan & J. Kevin Hicks & Simon Heeke & Yasir Y. Elamin & Heather Y. Lin & Hibiki Udagawa & Ferdinandos Skoulidis & Hai Tran & Susan Varghese & Junqin H, 2021. "Structure-based classification predicts drug response in EGFR-mutant NSCLC," Nature, Nature, vol. 597(7878), pages 732-737, September.
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