Evidence map›Paper›PMID 27293031›Full record

ArticleScientific reports2016

Imatinib and Nilotinib increase glioblastoma cell invasion via Abl-independent stimulation of p130Cas and FAK signalling.

Antonina Frolov, Ian M Evans, Ningning Li, Kastytis Sidlauskas, Ketevan Paliashvili, Nicola Lockwood, Angela Barrett, Sebastian Brandner, Ian C Zachary, Paul Frankel

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

28 citing papers in PubMed, 44 citations in OpenAlex.

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  12. Receptor Tyrosine Kinase Signaling and Targeting in Glioblastoma Multiforme.International journal of molecular sciences · 2021
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  17. Autophagy as a Potential Therapy for Malignant Glioma.Pharmaceuticals (Basel, Switzerland) · 2020
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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 2 institutions in 2 countries.

Antonina FrolovCentre for Cardiovascular Biology and Medicine, Division of Medicine, The Rayne Building, London WC1E 6JJ, United Kingdom.
Ian M EvansCentre for Cardiovascular Biology and Medicine, Division of Medicine, The Rayne Building, London WC1E 6JJ, United Kingdom.
Ningning LiDivision of Neuropathology, Institute of Neurology, London WC1E 6JJ, United Kingdom.
Kastytis SidlauskasDivision of Neuropathology, Institute of Neurology, London WC1E 6JJ, United Kingdom.
Ketevan PaliashviliCentre for Cardiovascular Biology and Medicine, Division of Medicine, The Rayne Building, London WC1E 6JJ, United Kingdom.
Nicola LockwoodCentre for Cardiovascular Biology and Medicine, Division of Medicine, The Rayne Building, London WC1E 6JJ, United Kingdom.
Angela BarrettCentre for Cardiovascular Biology and Medicine, Division of Medicine, The Rayne Building, London WC1E 6JJ, United Kingdom.
Sebastian BrandnerDivision of Neuropathology, Institute of Neurology, London WC1E 6JJ, United Kingdom.
Ian C ZacharyCentre for Cardiovascular Biology and Medicine, Division of Medicine, The Rayne Building, London WC1E 6JJ, United Kingdom.
Paul FrankelCentre for Cardiovascular Biology and Medicine, Division of Medicine, The Rayne Building, London WC1E 6JJ, United Kingdom.
Centre for Social Justice · GBInstitute of Ophthalmology · MX

Funding

Biotechnology and Biological Sciences Research Council BB/G017921/1Biotechnology and Biological Sciences Research Council BB/K013068/1British Heart Foundation RG/06/003/21131British Heart Foundation RG/11/11/29050Department of Health
6 · The paper itself

Abstract

Imatinib was the first targeted tyrosine kinase inhibitor to be approved for clinical use, and remains first-line therapy for Philadelphia chromosome (Ph+)-positive chronic myelogenous leukaemia. We show that treatment of human glioblastoma multiforme (GBM) tumour cells with imatinib and the closely-related drug, nilotinib, strikingly increases tyrosine phosphorylation of p130Cas, focal adhesion kinase (FAK) and the downstream adaptor protein paxillin (PXN), resulting in enhanced cell migration and invasion. Imatinib and nilotinib-induced tyrosine phosphorylation was dependent on expression of p130Cas and FAK activity and was independent of known imatinib targets including Abl, platelet derived growth factor receptor beta (PDGFRβ) and the collagen receptor DDR1. Imatinib and nilotinib treatment increased two dimensional cell migration and three dimensional radial spheroid invasion in collagen. In addition, silencing of p130Cas and inhibition of FAK activity both strongly reduced imatinib and nilotinib stimulated invasion. Importantly, imatinib and nilotinib increased tyrosine phosphorylation of p130Cas, FAK, PXN and radial spheroid invasion in stem cell lines isolated from human glioma biopsies. These findings identify a novel mechanism of action in GBM cells for two well established front line therapies for cancer resulting in enhanced tumour cell motility.

Indexed as

Adaptor Proteins, Signal TransducingCell Line, TumorCell MovementCrk-Associated Substrate ProteinDiscoidin Domain Receptor 1Focal Adhesion Kinase 1GlioblastomaHumansImatinib MesylateLeukemia, Myelogenous, Chronic, BCR-ABL PositiveNeoplasm InvasivenessPaxillinPhosphorylationProtein Kinase InhibitorsProto-Oncogene Proteins c-ablPyrimidinesAdaptor Proteins, Signal TransducingBCAR1 protein, humanCrk-Associated Substrate ProteinDiscoidin Domain Receptor 1Focal Adhesion Kinase 1Imatinib MesylatenilotinibPaxillinProtein Kinase InhibitorsProto-Oncogene Proteins c-ablPTK2 protein, humanPyrimidinesReceptor, Platelet-Derived Growth Factor beta

Identifiers

PMID27293031
PMCPMC4904410
OpenAlexW2440861704

What OpenQuestion 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 OpenQuestion graph.