Evidence map›Paper›PMID 31270078›Full record

ArticleCancer research2019

ATP-Competitive Inhibitors Midostaurin and Avapritinib Have Distinct Resistance Profiles in Exon 17-Mutant KIT.

Beth Apsel Winger, Wilian A Cortopassi, Diego Garrido Ruiz, Lucky Ding, Kibeom Jang, Ariel Leyte-Vidal, Na Zhang, Rosaura Esteve-Puig, Matthew P Jacobson, Neil P Shah

Open access · bronzeAbstract read
In one paragraph

Article in Cancer research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

20 citing papers in PubMed, 30 citations in OpenAlex.

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  13. Avapritinib for Systemic Mastocytosis.Expert review of hematology · 2021
    Article
  14. Review
  15. Inhibition of KIT Tyrosine Kinase Activity: Two Decades After the First Approval.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2021
    Article
  16. Article
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  19. Review
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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

10 authors at 1 institution in 2 countries.

Beth Apsel WingerDivision of Hematology/Oncology, Department of Pediatrics, University of California San Francisco, San Francisco, California.
Wilian A CortopassiDepartment of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, California.
Diego Garrido RuizDepartment of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, California.
Lucky DingDepartment of Medicine, Division of Hematology/Oncology, University of California San Francisco, San Francisco, California.
Kibeom JangDepartment of Medicine, Division of Hematology/Oncology, University of California San Francisco, San Francisco, California.
Ariel Leyte-VidalDepartment of Medicine, Division of Hematology/Oncology, University of California San Francisco, San Francisco, California.
Na ZhangDepartment of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, California.
Rosaura Esteve-PuigDepartment of Dermatology, University of California San Francisco, San Francisco, California.ORCID 0000-0003-0547-1752
Matthew P JacobsonDepartment of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, California.
Neil P ShahDepartment of Medicine, Division of Hematology/Oncology, University of California San Francisco, San Francisco, California. neil.shah@ucsf.edu.
University of California, San Francisco · US

Funding

Molecular and Cellular Mechanisms in CancerT32CA108462 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GOGA, ANDREI · 2004 to 2024
$10.4M
Research Training in Childhood CancerT32CA128583 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Eric Alejandro Sweet-Cordero · 2007 to 2026
$6.0M
Crenolanib and ponatinib for the treatment of FLT3 mutant AMLR01CA176091 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SHAH, NEIL P · 2013 to 2017
$1.6M
NCI NIH HHS R01 CA176091NCI NIH HHS T32 CA108462NCI NIH HHS T32 CA128583
6 · The paper itself

Abstract

KIT is a type-3 receptor tyrosine kinase that is frequently mutated at exon 11 or 17 in a variety of cancers. First-generation KIT tyrosine kinase inhibitors (TKI) are ineffective against KIT exon 17 mutations, which favor an active conformation that prevents these TKIs from binding. The ATP-competitive inhibitors, midostaurin and avapritinib, which target the active kinase conformation, were developed to inhibit exon 17-mutant KIT. Because secondary kinase domain mutations are a common mechanism of TKI resistance and guide ensuing TKI design, we sought to define problematic KIT kinase domain mutations for these emerging therapeutics. Midostaurin and avapritinib displayed different vulnerabilities to secondary kinase domain substitutions, with the T670I gatekeeper mutation being selectively problematic for avapritinib. Although gatekeeper mutations often directly disrupt inhibitor binding, we provide evidence that T670I confers avapritinib resistance indirectly by inducing distant conformational changes in the phosphate-binding loop. These findings suggest combining midostaurin and avapritinib may forestall acquired resistance mediated by secondary kinase domain mutations. SIGNIFICANCE: This study identifies potential problematic kinase domain mutations for next-generation KIT inhibitors midostaurin and avapritinib.

Indexed as

Antineoplastic AgentsAvapritinibCell LineDrug Resistance, NeoplasmExonsHumansMolecular Docking SimulationMolecular Dynamics SimulationMutationProtein Kinase InhibitorsProto-Oncogene Proteins c-kitPyrazolesPyrrolesStaurosporineTriazinesAntineoplastic AgentsAvapritinibKIT protein, humanmidostaurinProtein Kinase InhibitorsProto-Oncogene Proteins c-kitPyrazolesPyrrolesStaurosporineTriazines

Identifiers

PMID31270078
PMCPMC6697585
OpenAlexW2955609197

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.