Evidence map›Paper›PMID 35963891›Full record

ArticleScientific reports2022

Development of actionable targets of multi-kinase inhibitors (AToMI) screening platform to dissect kinase targets of staurosporines in glioblastoma cells.

Oxana V Denisova, Joni Merisaari, Amanpreet Kaur, Laxman Yetukuri, Mikael Jumppanen, Carina von Schantz-Fant, Michael Ohlmeyer, Krister Wennerberg, Tero Aittokallio, Mikko Taipale and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 35% 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

4 citing papers in PubMed, 3 citations in OpenAlex.

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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

11 authors at 8 institutions in 5 countries.

Oxana V DenisovaTurku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland.
Joni MerisaariTurku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland.
Amanpreet KaurTurku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland.
Laxman YetukuriTurku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland.
Mikael JumppanenTurku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland.
Carina von Schantz-FantInstitute for Molecular Medicine Finland, HiLIFE, University of Helsinki, Helsinki, Finland.
Michael OhlmeyerIcahn School of Medicine at the Mount Sinai, New York, NY, USA.
Krister WennerbergInstitute for Molecular Medicine Finland, HiLIFE, University of Helsinki, Helsinki, Finland.
Tero AittokallioInstitute for Molecular Medicine Finland, HiLIFE, University of Helsinki, Helsinki, Finland.
Mikko TaipaleDonnelly Centre, University of Toronto, Toronto, Canada.
Jukka WestermarckTurku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland. jukwes@utu.fi.
Åbo Akademi University · FITurku Centre for Computer Science · FIUniversity of Turku · FIIcahn School of Medicine at Mount Sinai · USInstitute for Molecular Medicine Finland · FIUniversity of Copenhagen · DKUniversity of Oslo · NOUniversity of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Therapeutic resistance to kinase inhibitors constitutes a major unresolved clinical challenge in cancer and especially in glioblastoma. Multi-kinase inhibitors may be used for simultaneous targeting of multiple target kinases and thereby potentially overcome kinase inhibitor resistance. However, in most cases the identification of the target kinases mediating therapeutic effects of multi-kinase inhibitors has been challenging. To tackle this important problem, we developed an actionable targets of multi-kinase inhibitors (AToMI) strategy and used it for characterization of glioblastoma target kinases of staurosporine derivatives displaying synergy with protein phosphatase 2A (PP2A) reactivation. AToMI consists of interchangeable modules combining drug-kinase interaction assay, siRNA high-throughput screening, bioinformatics analysis, and validation screening with more selective target kinase inhibitors. As a result, AToMI analysis revealed AKT and mitochondrial pyruvate dehydrogenase kinase PDK1 and PDK4 as kinase targets of staurosporine derivatives UCN-01, CEP-701, and K252a that synergized with PP2A activation across heterogeneous glioblastoma cells. Based on these proof-of-principle results, we propose that the application and further development of AToMI for clinically applicable multi-kinase inhibitors could provide significant benefits in overcoming the challenge of lack of knowledge of the target specificity of multi-kinase inhibitors.

Indexed as

Antineoplastic AgentsGlioblastomaHumansProtein Kinase InhibitorsProtein Phosphatase 2Pyruvate Dehydrogenase Acetyl-Transferring KinaseStaurosporineAntineoplastic AgentsProtein Kinase InhibitorsProtein Phosphatase 2Pyruvate Dehydrogenase Acetyl-Transferring KinaseStaurosporine

Identifiers

PMID35963891
PMCPMC9376105
OpenAlexW4291184281

What Socratic holds

Textmetadata
LicenceCC BY
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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.