npj Precision Oncology (Apr 2021)

Microsecond-timescale MD simulation of EGFR minor mutation predicts the structural flexibility of EGFR kinase core that reflects EGFR inhibitor sensitivity

  • Takahiro Yoshizawa,
  • Ken Uchibori,
  • Mitsugu Araki,
  • Shigeyuki Matsumoto,
  • Biao Ma,
  • Ryo Kanada,
  • Yosuke Seto,
  • Tomoko Oh-hara,
  • Sumie Koike,
  • Ryo Ariyasu,
  • Satoru Kitazono,
  • Hironori Ninomiya,
  • Kengo Takeuchi,
  • Noriko Yanagitani,
  • Satoshi Takagi,
  • Kazuma Kishi,
  • Naoya Fujita,
  • Yasushi Okuno,
  • Makoto Nishio,
  • Ryohei Katayama

DOI
https://doi.org/10.1038/s41698-021-00170-7
Journal volume & issue
Vol. 5, no. 1
pp. 1 – 11

Abstract

Read online

Abstract Approximately 15–30% of patients with lung cancer harbor mutations in the EGFR gene. Major EGFR mutations (>90% of EGFR-mutated lung cancer) are highly sensitive to EGFR tyrosine kinase inhibitors (TKIs). Many uncommon EGFR mutations have been identified, but little is known regarding their characteristics, activation, and sensitivity to various EGFR-TKIs, including allosteric inhibitors. We encountered a case harboring an EGFR-L747P mutation, originally misdiagnosed with EGFR-del19 mutation using a routine diagnostic EGFR mutation test, which was resistant to EGFR-TKI gefitinib. Using this minor mutation and common EGFR-activating mutations, we performed the binding free energy calculations and microsecond-timescale molecular dynamic (MD) simulations, revealing that the L747P mutation considerably stabilizes the active conformation through a salt-bridge formation between K745 and E762. We further revealed why several EGFR inhibitors, including the allosteric inhibitor, were ineffective. Our computational structural analysis strategy would be beneficial for future drug development targeting the EGFR minor mutations.