Evidence map›Paper›PMID 27936599›Full record

ArticleBiochemistry2017

Computational and Experimental Characterization of Patient Derived Mutations Reveal an Unusual Mode of Regulatory Spine Assembly and Drug Sensitivity in EGFR Kinase.

Zheng Ruan, Samiksha Katiyar, Natarajan Kannan

Open access · greenAbstract read
In one paragraph

Article in Biochemistry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.4field-weighted citation impact, top 16% of its field
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

11 citing papers in PubMed, 22 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Acquired rare recurrentAmerican journal of cancer research · 2020
    Article
  8. A Novel Acquired Exon 20 EGFR M766Q Mutation in Lung Adenocarcinoma Mediates Osimertinib Resistance but is Sensitive to Neratinib and Poziotinib.Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer · 2019
    Article
  9. Molecular dynamics simulation-guided drug sensitivity prediction for lung cancer with rareProceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  10. Altered conformational landscape and dimerization dependency underpins the activation of EGFR byProceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  11. 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

3 authors at 1 institution in 1 country.

Zheng RuanInstitute of Bioinformatics and ‡Department of Biochemistry & Molecular Biology, University of Georgia , Athens, Georgia 30602, United States.ORCID http://orcid.org/0000-0002-4412-4916
Samiksha KatiyarInstitute of Bioinformatics and ‡Department of Biochemistry & Molecular Biology, University of Georgia , Athens, Georgia 30602, United States.
Natarajan KannanInstitute of Bioinformatics and ‡Department of Biochemistry & Molecular Biology, University of Georgia , Athens, Georgia 30602, United States.
University of Georgia · US

Funding

Functional Annotation of Natural and Disease Variants in Tryosine KinasesR01GM114409 · NIGMS · UNIVERSITY OF GEORGIA · PI KANNAN, NATARAJAN · 2015 to 2020
$1.6M
NIGMS NIH HHS R01 GM114409
6 · The paper itself

Abstract

The catalytic activation of protein kinases requires precise positioning of key conserved catalytic and regulatory motifs in the kinase core. The Regulatory Spine (RS) is one such structural motif that is dynamically assembled upon kinase activation. The RS is also a mutational hotspot in cancers; however, the mechanisms by which cancer mutations impact RS assembly and kinase activity are not fully understood. In this study, through mutational analysis of patient derived mutations in the RS of EGFR kinase, we identify an activating mutation, M766T, at the RS3 position. RS3 is located in the regulatory αC-helix, and a series of mutations at the RS3 position suggest a strong correlation between the amino acid type present at the RS3 position and ligand (EGF) independent EGFR activation. Small polar amino acids increase ligand independent activity, while large aromatic amino acids decrease kinase activity. M766T relies on the canonical asymmetric dimer for full activation. Molecular modeling and molecular dynamics simulations of WT and mutant EGFR suggest a model in which M766T activates the kinase domain by disrupting conserved autoinhibitory interactions between M766 and hydrophobic residues in the activation segment. In addition, a water mediated hydrogen bond network between T766, the conserved K745-E762 salt bridge, and the backbone amide of the DFG motif is identified as a key determinant of M766T-mediated activation. M766T is resistant to FDA approved EGFR inhibitors such as gefitinib and erlotinib, and computational estimation of ligand binding free energy identifies key residues associated with drug sensitivity. In sum, our studies suggest an unusual mode of RS assembly and oncogenic EGFR activation, and provide new clues for the design of allosteric protein kinase inhibitors.

Indexed as

Amino Acid MotifsCatalytic DomainMutationAllosteric RegulationAnimalsCHO CellsCricetinaeCricetulusDrug ResistanceEnzyme ActivationEpidermal Growth FactorErbB ReceptorsErlotinib HydrochlorideGefitinibHumansHydrophobic and Hydrophilic InteractionsEpidermal Growth FactorErbB ReceptorsErlotinib HydrochlorideGefitinibLapatinibProtein Kinase InhibitorsQuinazolines

Identifiers

PMID27936599
PMCPMC5508873
OpenAlexW2560303196

What OpenQuestion holds

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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.