Evidence map›Paper›PMID 29067524›Full record

ArticleJournal of molecular modeling2017

Exploring the crizotinib resistance mechanism of NSCLC with the L1196M mutation using molecular dynamics simulation.

Maryam Kay, Fariba Dehghanian

Abstract read
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In one paragraph

Article in Journal of molecular modeling, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. Trial
  2. Review
  3. Review
  4. Review
  5. Acquired L1196MEJHaem · 2023
    Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. JCO precision oncology · 2021
    Article
  11. Article
  12. Article
  13. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Maryam KayDepartment of Molecular Genetics, Faculty of Biological Sciences, Tarbiat Modares University, Tehran, Islamic Republic of Iran. maryam_kay2001@yahoo.com.
Fariba DehghanianDivision of Genetics, Department of Biology, Faculty of Science, University of Isfahan, Isfahan, Islamic Republic of Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Crizotinib is an anticancer tyrosine kinase inhibitor that is approved for use as a first-line treatment for some non-small-cell lung cancers. L1196M is the most frequently observed mutation in NSCLC patients. This mutation, known as the gatekeeper mutation in the ALK kinase domain, confers resistance to crizotinib by sterically blocking the binding of the drug. However, the molecular mechanism of crizotinib resistance caused by the L1196M mutation is still unclear. Molecular dynamics simulation was therefore utilized in this study to investigate the mechanism by which the L1196M mutation may affect crizotinib resistance. Our results suggest that larger fluctuations in some important regions of the mutant complex compared to the wild-type complex may contribute to the resistance of the mutant complex to crizotinib. Also, mutation-induced alterations to the secondary structure of the complex as well as unstable hydrogen-bonding patterns in the A-loop and P-loop regions decrease the total binding energy of the complex. This study therefore provides a molecular explanation for the resistance to crizotinib caused by the L1196M mutation, which could aid the design of more efficient and selective drugs.

Indexed as

Drug Resistance, NeoplasmMolecular Dynamics SimulationMutationAntineoplastic AgentsCarcinoma, Non-Small-Cell LungComputational BiologyCrizotinibHumansNeoplasm ProteinsProtein Kinase InhibitorsPyrazolesPyridinesAntineoplastic AgentsCrizotinibNeoplasm ProteinsProtein Kinase InhibitorsPyrazolesPyridinesALKCrizotinib resistanceL1196M mutationMolecular dynamicsNSCLC

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.