Evidence map›Paper›PMID 38523074›Full record

ArticleChemMedChem2024

Structural Analysis of the Macrocyclic Inhibitor BI-4020 Binding to EGFR Kinase.

Tyler S Beyett, Jaimin K Rana, Ilse K Schaeffner, David E Heppner, Michael J Eck

Abstract read
In one paragraph

Article in ChemMedChem, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. 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

5 authors.

Tyler S BeyettDepartment of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA, 450 Brookline Avenue, LC4313.ORCID 0000-0001-5509-7004
Jaimin K RanaDepartment of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA, 450 Brookline Avenue, LC4313.
Ilse K SchaeffnerDepartment of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA, 450 Brookline Avenue, LC4313.
David E HeppnerDepartment of Chemistry, University at Buffalo, Buffalo, NY 14260, USA.ORCID 0000-0002-0722-5160
Michael J EckDepartment of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA, 450 Brookline Avenue, LC4313.ORCID 0000-0003-4247-9403

Funding

User Training and OutreachP30GM124165 · NIGMS · CORNELL UNIVERSITY · PI Nozomi Ando, J Christopher Fromme · 2018 to 2026
$34.2M
University of Buffalo Clinical and Translational Science Institute - Supplement SchulyerUL1TR001412 · NCATS · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI MURPHY, TIMOTHY F · 2015 to 2024
$33.8M
StructureP01CA154303 · NCI · DANA-FARBER CANCER INST · PI ECK, MICHAEL J · 2012 to 2021
$17.8M
Overall EvaluationP41GM103403 · NIGMS · CORNELL UNIVERSITY · PI EALICK, STEVEN E · 2012 to 2017
$14.3M
Structure, mechanism, and pharmacology of BRAF and its partners in the RAS/RAF/MAP kinase pathwayR35CA242461 · NCI · DANA-FARBER CANCER INST · PI ECK, MICHAEL J · 2019 to 2025
$7.4M
Discovery and optimization of novel mutant-selective allosteric inhibitors of EGFR T790MR01CA201049 · NCI · DANA-FARBER CANCER INST · PI ECK, MICHAEL J, GRAY, NATHANAEL SCHIANDER · 2016 to 2025
$4.6M
Pixel Array Detector for Macromolecular CrystallographyS10OD021527 · OD · CORNELL UNIVERSITY · PI EALICK, STEVEN E · 2016 to 2016
$2.0M
Studies of mutant-selective allosteric inhibitors of EGFR for non-small cell lung cancerF32CA247198 · NCI · DANA-FARBER CANCER INST · PI BEYETT, TYLER STEVEN · 2020 to 2022
$196k
Advanced Photon Source at the Argonne National Laboratory DE-AC02-06CH11357Nathanael Gray BI-4020National Center for Advancing Translational Sciences of the NIH UL1TR001412-07NCATS NIH HHS UL1 TR001412NCI NIH HHS F32 CA247198NCI NIH HHS P01 CA154303NCI NIH HHS R01 CA201049NCI NIH HHS R35 CA242461NIGMS NIH HHS P30 GM124165NIGMS NIH HHS P41 GM103403NIH HHS PO1 CA154303NIH HHS R35 CA242461NIH HHS RO1 CA201049NIH HHS S10 OD021527NIH-ORIP HEI grant S10OD021527Northeastern Collaborative Access Team beamlines P30GM124165Northeastern Collaborative Access Team beamlines P41GM103403Ruth L. Kirschstein National Research Service Award F32CA247198-01
6 · The paper itself

Abstract

A novel macrocyclic inhibitor of mutant EGFR (BI-4020) has shown promise in pre-clinical studies of T790M and C797S drug-resistant non-small cell lung cancer. To better understand the molecular basis for BI-4020 selectivity and potency, we have carried out biochemical activity assays and structural analysis with X-ray crystallography. Biochemical potencies agree with previous studies indicating that BI-4020 is uniquely potent against drug-resistant L858R/T790M and L858R/T790M/C797S variants. X-ray structures with wild-type (2.4 Å) and T790M/V948R (3.1 Å) EGFR kinase domains show that BI-4020 is likely rendered selective due to interactions with the kinase domain hinge region as well as T790M, akin to Osimertinib. Additionally, BI-4020 is also rendered more potent due to its constrained macrocycle geometry as well as additional H-bonds to conserved K745 and T845 residues in both active and inactive conformations. These findings taken together show how this novel macrocyclic inhibitor is both highly potent and selective for mutant EGFR in a reversible mechanism and motivate structure-inspired approaches to developing targeted therapies in medicinal oncology.

Indexed as

ErbB ReceptorsMacrocyclic CompoundsProtein Kinase InhibitorsAntineoplastic AgentsBinding SitesCrystallography, X-RayDose-Response Relationship, DrugHumansModels, MolecularMolecular StructureStructure-Activity RelationshipAntineoplastic AgentsEGFR protein, humanErbB ReceptorsMacrocyclic CompoundsProtein Kinase Inhibitors

Identifiers

PMID38523074
PMCPMC11212799

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.