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Deciphering mechanisms of acquired T790M mutation after EGFR inhibitors for NSCLC by computational simulations

Metastatic non-small-cell lung cancer (NSCLC) with activating EGFR mutations responds very well to first and second generation tyrosine-kinase inhibitors (TKI) including gefitinib, erlotinib and afatinib. Unfortunately, drug resistance will eventually develop and about half of the cases are secondar...

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Autores principales: Zou, Bin, Lee, Victor H. F., Chen, Lijiang, Ma, Lichun, Wang, Debby D., Yan, Hong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5529360/
https://www.ncbi.nlm.nih.gov/pubmed/28747773
http://dx.doi.org/10.1038/s41598-017-06632-y
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author Zou, Bin
Lee, Victor H. F.
Chen, Lijiang
Ma, Lichun
Wang, Debby D.
Yan, Hong
author_facet Zou, Bin
Lee, Victor H. F.
Chen, Lijiang
Ma, Lichun
Wang, Debby D.
Yan, Hong
author_sort Zou, Bin
collection PubMed
description Metastatic non-small-cell lung cancer (NSCLC) with activating EGFR mutations responds very well to first and second generation tyrosine-kinase inhibitors (TKI) including gefitinib, erlotinib and afatinib. Unfortunately, drug resistance will eventually develop and about half of the cases are secondary to the emergence of acquired T790M somatic mutation. In this work, we prospectively recruited 68 patients with metastatic EGFR-mutated NSCLC who have developed progressive disease after first-line TKI with or without subsequent TKI and/or other systemic therapy. Liquid biopsy after progression to their last line of systemic therapy were taken for detection of acquired T790M mutation. By performing attribute ranking we found that several attributes, including the initial EGFR mutational type, had a high correlation with the presence of acquired T790M mutation. We also conducted computational studies and discovered that the EGFR mutation delE746_A750 had a lower stability around the residue T790 than delS752_I759 and L858R, which was consistent with our clinical observation that patients with delE746_A750 were more likely to acquire T790M mutation than those with delS752_I759 or L858R. Our results provided new insight to future direction of research on investigating the mechanisms of acquired T790M mutation, which is essential to the development of novel mutation-specific TKIs.
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spelling pubmed-55293602017-08-02 Deciphering mechanisms of acquired T790M mutation after EGFR inhibitors for NSCLC by computational simulations Zou, Bin Lee, Victor H. F. Chen, Lijiang Ma, Lichun Wang, Debby D. Yan, Hong Sci Rep Article Metastatic non-small-cell lung cancer (NSCLC) with activating EGFR mutations responds very well to first and second generation tyrosine-kinase inhibitors (TKI) including gefitinib, erlotinib and afatinib. Unfortunately, drug resistance will eventually develop and about half of the cases are secondary to the emergence of acquired T790M somatic mutation. In this work, we prospectively recruited 68 patients with metastatic EGFR-mutated NSCLC who have developed progressive disease after first-line TKI with or without subsequent TKI and/or other systemic therapy. Liquid biopsy after progression to their last line of systemic therapy were taken for detection of acquired T790M mutation. By performing attribute ranking we found that several attributes, including the initial EGFR mutational type, had a high correlation with the presence of acquired T790M mutation. We also conducted computational studies and discovered that the EGFR mutation delE746_A750 had a lower stability around the residue T790 than delS752_I759 and L858R, which was consistent with our clinical observation that patients with delE746_A750 were more likely to acquire T790M mutation than those with delS752_I759 or L858R. Our results provided new insight to future direction of research on investigating the mechanisms of acquired T790M mutation, which is essential to the development of novel mutation-specific TKIs. Nature Publishing Group UK 2017-07-26 /pmc/articles/PMC5529360/ /pubmed/28747773 http://dx.doi.org/10.1038/s41598-017-06632-y Text en © The Author(s) 2017 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/.
spellingShingle Article
Zou, Bin
Lee, Victor H. F.
Chen, Lijiang
Ma, Lichun
Wang, Debby D.
Yan, Hong
Deciphering mechanisms of acquired T790M mutation after EGFR inhibitors for NSCLC by computational simulations
title Deciphering mechanisms of acquired T790M mutation after EGFR inhibitors for NSCLC by computational simulations
title_full Deciphering mechanisms of acquired T790M mutation after EGFR inhibitors for NSCLC by computational simulations
title_fullStr Deciphering mechanisms of acquired T790M mutation after EGFR inhibitors for NSCLC by computational simulations
title_full_unstemmed Deciphering mechanisms of acquired T790M mutation after EGFR inhibitors for NSCLC by computational simulations
title_short Deciphering mechanisms of acquired T790M mutation after EGFR inhibitors for NSCLC by computational simulations
title_sort deciphering mechanisms of acquired t790m mutation after egfr inhibitors for nsclc by computational simulations
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5529360/
https://www.ncbi.nlm.nih.gov/pubmed/28747773
http://dx.doi.org/10.1038/s41598-017-06632-y
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