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

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 chara...

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Autores principales: Yoshizawa, Takahiro, Uchibori, Ken, Araki, Mitsugu, Matsumoto, Shigeyuki, Ma, Biao, Kanada, Ryo, Seto, Yosuke, Oh-hara, Tomoko, Koike, Sumie, Ariyasu, Ryo, Kitazono, Satoru, Ninomiya, Hironori, Takeuchi, Kengo, Yanagitani, Noriko, Takagi, Satoshi, Kishi, Kazuma, Fujita, Naoya, Okuno, Yasushi, Nishio, Makoto, Katayama, Ryohei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8052404/
https://www.ncbi.nlm.nih.gov/pubmed/33863983
http://dx.doi.org/10.1038/s41698-021-00170-7
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author Yoshizawa, Takahiro
Uchibori, Ken
Araki, Mitsugu
Matsumoto, Shigeyuki
Ma, Biao
Kanada, Ryo
Seto, Yosuke
Oh-hara, Tomoko
Koike, Sumie
Ariyasu, Ryo
Kitazono, Satoru
Ninomiya, Hironori
Takeuchi, Kengo
Yanagitani, Noriko
Takagi, Satoshi
Kishi, Kazuma
Fujita, Naoya
Okuno, Yasushi
Nishio, Makoto
Katayama, Ryohei
author_facet Yoshizawa, Takahiro
Uchibori, Ken
Araki, Mitsugu
Matsumoto, Shigeyuki
Ma, Biao
Kanada, Ryo
Seto, Yosuke
Oh-hara, Tomoko
Koike, Sumie
Ariyasu, Ryo
Kitazono, Satoru
Ninomiya, Hironori
Takeuchi, Kengo
Yanagitani, Noriko
Takagi, Satoshi
Kishi, Kazuma
Fujita, Naoya
Okuno, Yasushi
Nishio, Makoto
Katayama, Ryohei
author_sort Yoshizawa, Takahiro
collection PubMed
description 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.
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spelling pubmed-80524042021-05-05 Microsecond-timescale MD simulation of EGFR minor mutation predicts the structural flexibility of EGFR kinase core that reflects EGFR inhibitor sensitivity Yoshizawa, Takahiro Uchibori, Ken Araki, Mitsugu Matsumoto, Shigeyuki Ma, Biao Kanada, Ryo Seto, Yosuke Oh-hara, Tomoko Koike, Sumie Ariyasu, Ryo Kitazono, Satoru Ninomiya, Hironori Takeuchi, Kengo Yanagitani, Noriko Takagi, Satoshi Kishi, Kazuma Fujita, Naoya Okuno, Yasushi Nishio, Makoto Katayama, Ryohei NPJ Precis Oncol Article 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. Nature Publishing Group UK 2021-04-16 /pmc/articles/PMC8052404/ /pubmed/33863983 http://dx.doi.org/10.1038/s41698-021-00170-7 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Yoshizawa, Takahiro
Uchibori, Ken
Araki, Mitsugu
Matsumoto, Shigeyuki
Ma, Biao
Kanada, Ryo
Seto, Yosuke
Oh-hara, Tomoko
Koike, Sumie
Ariyasu, Ryo
Kitazono, Satoru
Ninomiya, Hironori
Takeuchi, Kengo
Yanagitani, Noriko
Takagi, Satoshi
Kishi, Kazuma
Fujita, Naoya
Okuno, Yasushi
Nishio, Makoto
Katayama, Ryohei
Microsecond-timescale MD simulation of EGFR minor mutation predicts the structural flexibility of EGFR kinase core that reflects EGFR inhibitor sensitivity
title 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_short 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
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8052404/
https://www.ncbi.nlm.nih.gov/pubmed/33863983
http://dx.doi.org/10.1038/s41698-021-00170-7
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