Evidence map›Paper›PMID 36713317›Full record

ArticlePNAS nexus2022

A chemoproteoinformatics approach demonstrates that aspirin increases sensitivity to MEK inhibition by directly binding to RPS5.

Motoki Watanabe, Shogen Boku, Kaito Kobayashi, Yoichi Kurumida, Mamiko Sukeno, Mitsuharu Masuda, Katsura Mizushima, Chikage Kato, Yosuke Iizumi, Kiichi Hirota and 4 more

Open access · goldAbstract read
In one paragraph

Article in PNAS nexus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 53% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
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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

14 authors at 3 institutions in 1 country.

Motoki WatanabeDepartment of Molecular-Targeting Prevention, Kyoto Prefectural University of Medicine, 602-8566 Kyoto, Japan.ORCID https://orcid.org/0000-0002-9499-1161
Shogen BokuDepartment of Molecular-Targeting Prevention, Kyoto Prefectural University of Medicine, 602-8566 Kyoto, Japan.
Kaito KobayashiArtificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology (AIST), 135-0064 Tokyo, Japan.ORCID https://orcid.org/0000-0002-2662-2452
Yoichi KurumidaArtificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology (AIST), 135-0064 Tokyo, Japan.
Mamiko SukenoDepartment of Drug Discovery Medicine, Kyoto Prefectural University of Medicine, 602-8566 Kyoto, Japan.
Mitsuharu MasudaDepartment of Molecular-Targeting Prevention, Kyoto Prefectural University of Medicine, 602-8566 Kyoto, Japan.
Katsura MizushimaDepartment of Human Immunology and Nutrition Science, Kyoto Prefectural University of Medicine, 602-8566 Kyoto, Japan.
Chikage KatoDepartment of Endocrine and Breast Surgery, Kyoto Prefectural University of Medicine, 602-8566 Kyoto, Japan.
Yosuke IizumiDepartment of Molecular-Targeting Prevention, Kyoto Prefectural University of Medicine, 602-8566 Kyoto, Japan.
Kiichi HirotaDepartment of Human Stress Response Science, Institute of Biomedical Science, Kansai Medical University, 573-1010 Osaka, Japan.
Yuji NaitoDepartment of Human Immunology and Nutrition Science, Kyoto Prefectural University of Medicine, 602-8566 Kyoto, Japan.ORCID https://orcid.org/0000-0001-5443-788X
Michihiro MutohDepartment of Molecular-Targeting Prevention, Kyoto Prefectural University of Medicine, 602-8566 Kyoto, Japan.
Tomoshi KamedaArtificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology (AIST), 135-0064 Tokyo, Japan.ORCID https://orcid.org/0000-0001-9508-5366
Toshiyuki SakaiDepartment of Drug Discovery Medicine, Kyoto Prefectural University of Medicine, 602-8566 Kyoto, Japan.
Kyoto Prefectural University of Medicine · JPNational Institute of Advanced Industrial Science and Technology · JPKansai Medical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MEK inhibitors are among the most successful molecularly targeted agents used as cancer therapeutics. However, to treat cancer more efficiently, resistance to MEK inhibitor-induced cell death must be overcome. Although previous genetic approaches based on comprehensive gene expression analysis or RNAi libraries led to the discovery of factors involved in intrinsic resistance to MEK inhibitors, a feasible combined treatment with the MEK inhibitor has not yet been developed. Here, we show that a chemoproteoinformatics approach identifies ligands overcoming the resistance to cell death induced by MEK inhibition as well as the target molecule conferring this resistance. First, we used natural products, perillyl alcohol and sesaminol, which induced cell death in combination with the MEK inhibitor trametinib, as chemical probes, and identified ribosomal protein S5 (RPS5) as their common target protein. Consistently, trametinib induced cell death in RPS5-depleted cancer cells via upregulation of the apoptotic proteins BIM and PUMA. Using molecular docking and molecular dynamics (MD) simulations, we then screened FDA- and EMA-approved drugs for RPS5-binding ligands and found that acetylsalicylic acid (ASA, also known as aspirin) directly bound to RPS5, resulting in upregulation of BIM and PUMA and induction of cell death in combination with trametinib. Our chemoproteoinformatics approach demonstrates that RPS5 confers resistance to MEK inhibitor-induced cell death, and that aspirin could be repurposed to sensitize cells to MEK inhibition by binding to RPS5.

Indexed as

acetylsalicylic acid (aspirin)chemical biologyMEK inhibitormolecular dynamics simulationsribosomal protein S5

Identifiers

PMID36713317
PMCPMC9802315
OpenAlexW4280490167

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.