Evidence map›Paper›PMID 42010121›Full record

ArticleNature biotechnology2026

Comprehensive profiling of clinically approved kinase inhibitors reveals mutation-specific inhibitors and opportunities for drug repurposing.

Mehlam Saifudeen, Songli Zhu, Shuguang Liang, Mia Eason, Alison Goupil, Deanna F Mische, Christian M Loch, Haiching Ma, Marina Chan, Taranjit S Gujral

Abstract read
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Article in Nature biotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

10 authors.

Mehlam Saifudeen *Human Biology Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.
Songli Zhu *Human Biology Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.
Shuguang Liang *Reaction Biology, Malvern, PA, USA.
Mia EasonReaction Biology, Malvern, PA, USA.
Alison GoupilReaction Biology, Malvern, PA, USA.
Deanna F MischeHuman Biology Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.ORCID http://orcid.org/0009-0004-9582-7226
Christian M LochReaction Biology, Malvern, PA, USA.
Haiching MaReaction Biology, Malvern, PA, USA.
Marina ChanHuman Biology Division, Fred Hutchinson Cancer Center, Seattle, WA, USA. mchan23@fredhutch.org.
Taranjit S GujralHuman Biology Division, Fred Hutchinson Cancer Center, Seattle, WA, USA. tgujral@fredhutch.org.ORCID http://orcid.org/0000-0002-4453-3031

Funding

Translational Bioimaging Core Shared ResourceP30CA015704 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Eric Collisson · 1985 to 2026
$296.4M
NCI NIH HHS P30 CA015704
6 · The paper itself

Abstract

Protein kinases are central to cell signaling and key drug targets in cancer. To inform potential repurposing of kinase inhibitors, we profiled 86 of the ~100 approved kinase inhibitors against 758 kinases, including 409 wild-type and 349 oncogenic variants using a biochemical kinase assay. Our results increase the number of druggable kinases from 89 to 235, revealing that 94% of mutations and 97% of fusions represented in our samples are inhibited by at least one existing drug. The dataset revealed mutation-specific selectivity, especially in tyrosine kinases FGFR and MET, highlighting gaps and repurposing opportunities. We experimentally validated several actionable findings, including tepotinib to target the IRAK1/4-cholesterol pathway in glioblastoma, brigatinib to target the MARK2/3-Hippo pathway in pancreatic cancer and gilteritinib to overcome MET mutation-driven drug resistance and metastasis. To facilitate exploration of our data, we provide KIRHub, a web-based tool that allows identification of existing inhibitors of wild-type and mutated kinases to guide precision oncology.

Identifiers

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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.