Microsecond-timescale MD simulation of EGFR minor mutation predicts the structural flexibility of EGFR kinase core that reflects EGFR inhibitor sensitivity
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 th...
Guardado en:
Autores principales: | , , , , , , , , , , , , , , , , , , , |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/c1c4f342481c4dad8da1ff3a202ae813 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
id |
oai:doaj.org-article:c1c4f342481c4dad8da1ff3a202ae813 |
---|---|
record_format |
dspace |
spelling |
oai:doaj.org-article:c1c4f342481c4dad8da1ff3a202ae8132021-12-02T18:03:30ZMicrosecond-timescale MD simulation of EGFR minor mutation predicts the structural flexibility of EGFR kinase core that reflects EGFR inhibitor sensitivity10.1038/s41698-021-00170-72397-768Xhttps://doaj.org/article/c1c4f342481c4dad8da1ff3a202ae8132021-04-01T00:00:00Zhttps://doi.org/10.1038/s41698-021-00170-7https://doaj.org/toc/2397-768XAbstract 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.Takahiro YoshizawaKen UchiboriMitsugu ArakiShigeyuki MatsumotoBiao MaRyo KanadaYosuke SetoTomoko Oh-haraSumie KoikeRyo AriyasuSatoru KitazonoHironori NinomiyaKengo TakeuchiNoriko YanagitaniSatoshi TakagiKazuma KishiNaoya FujitaYasushi OkunoMakoto NishioRyohei KatayamaNature PortfolioarticleNeoplasms. Tumors. Oncology. Including cancer and carcinogensRC254-282ENnpj Precision Oncology, Vol 5, Iss 1, Pp 1-11 (2021) |
institution |
DOAJ |
collection |
DOAJ |
language |
EN |
topic |
Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282 |
spellingShingle |
Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282 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 Microsecond-timescale MD simulation of EGFR minor mutation predicts the structural flexibility of EGFR kinase core that reflects EGFR inhibitor sensitivity |
description |
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. |
format |
article |
author |
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 |
author_facet |
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 |
author_sort |
Takahiro Yoshizawa |
title |
Microsecond-timescale MD simulation of EGFR minor mutation predicts the structural flexibility of EGFR kinase core that reflects EGFR inhibitor sensitivity |
title_short |
Microsecond-timescale MD simulation of EGFR minor mutation predicts the structural flexibility of EGFR kinase core that reflects EGFR inhibitor sensitivity |
title_full |
Microsecond-timescale MD simulation of EGFR minor mutation predicts the structural flexibility of EGFR kinase core that reflects EGFR inhibitor sensitivity |
title_fullStr |
Microsecond-timescale MD simulation of EGFR minor mutation predicts the structural flexibility of EGFR kinase core that reflects EGFR inhibitor sensitivity |
title_full_unstemmed |
Microsecond-timescale MD simulation of EGFR minor mutation predicts the structural flexibility of EGFR kinase core that reflects EGFR inhibitor sensitivity |
title_sort |
microsecond-timescale md simulation of egfr minor mutation predicts the structural flexibility of egfr kinase core that reflects egfr inhibitor sensitivity |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/c1c4f342481c4dad8da1ff3a202ae813 |
work_keys_str_mv |
AT takahiroyoshizawa microsecondtimescalemdsimulationofegfrminormutationpredictsthestructuralflexibilityofegfrkinasecorethatreflectsegfrinhibitorsensitivity AT kenuchibori microsecondtimescalemdsimulationofegfrminormutationpredictsthestructuralflexibilityofegfrkinasecorethatreflectsegfrinhibitorsensitivity AT mitsuguaraki microsecondtimescalemdsimulationofegfrminormutationpredictsthestructuralflexibilityofegfrkinasecorethatreflectsegfrinhibitorsensitivity AT shigeyukimatsumoto microsecondtimescalemdsimulationofegfrminormutationpredictsthestructuralflexibilityofegfrkinasecorethatreflectsegfrinhibitorsensitivity AT biaoma microsecondtimescalemdsimulationofegfrminormutationpredictsthestructuralflexibilityofegfrkinasecorethatreflectsegfrinhibitorsensitivity AT ryokanada microsecondtimescalemdsimulationofegfrminormutationpredictsthestructuralflexibilityofegfrkinasecorethatreflectsegfrinhibitorsensitivity AT yosukeseto microsecondtimescalemdsimulationofegfrminormutationpredictsthestructuralflexibilityofegfrkinasecorethatreflectsegfrinhibitorsensitivity AT tomokoohhara microsecondtimescalemdsimulationofegfrminormutationpredictsthestructuralflexibilityofegfrkinasecorethatreflectsegfrinhibitorsensitivity AT sumiekoike microsecondtimescalemdsimulationofegfrminormutationpredictsthestructuralflexibilityofegfrkinasecorethatreflectsegfrinhibitorsensitivity AT ryoariyasu microsecondtimescalemdsimulationofegfrminormutationpredictsthestructuralflexibilityofegfrkinasecorethatreflectsegfrinhibitorsensitivity AT satorukitazono microsecondtimescalemdsimulationofegfrminormutationpredictsthestructuralflexibilityofegfrkinasecorethatreflectsegfrinhibitorsensitivity AT hironorininomiya microsecondtimescalemdsimulationofegfrminormutationpredictsthestructuralflexibilityofegfrkinasecorethatreflectsegfrinhibitorsensitivity AT kengotakeuchi microsecondtimescalemdsimulationofegfrminormutationpredictsthestructuralflexibilityofegfrkinasecorethatreflectsegfrinhibitorsensitivity AT norikoyanagitani microsecondtimescalemdsimulationofegfrminormutationpredictsthestructuralflexibilityofegfrkinasecorethatreflectsegfrinhibitorsensitivity AT satoshitakagi microsecondtimescalemdsimulationofegfrminormutationpredictsthestructuralflexibilityofegfrkinasecorethatreflectsegfrinhibitorsensitivity AT kazumakishi microsecondtimescalemdsimulationofegfrminormutationpredictsthestructuralflexibilityofegfrkinasecorethatreflectsegfrinhibitorsensitivity AT naoyafujita microsecondtimescalemdsimulationofegfrminormutationpredictsthestructuralflexibilityofegfrkinasecorethatreflectsegfrinhibitorsensitivity AT yasushiokuno microsecondtimescalemdsimulationofegfrminormutationpredictsthestructuralflexibilityofegfrkinasecorethatreflectsegfrinhibitorsensitivity AT makotonishio microsecondtimescalemdsimulationofegfrminormutationpredictsthestructuralflexibilityofegfrkinasecorethatreflectsegfrinhibitorsensitivity AT ryoheikatayama microsecondtimescalemdsimulationofegfrminormutationpredictsthestructuralflexibilityofegfrkinasecorethatreflectsegfrinhibitorsensitivity |
_version_ |
1718378708756070400 |