Evidence map›Paper›PMID 32366879›Full record

ArticleScientific reports2020

The limitations of targeting MEK signalling in Glioblastoma therapy.

Karthika D Selvasaravanan, Nicole Wiederspohn, Amina Hadzalic, Hannah Strobel, Christel Payer, Andrea Schuster, Georg Karpel-Massler, Markus D Siegelin, Marc-Eric Halatsch, Klaus-Michael Debatin and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 14% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 40 citations in OpenAlex.

  1. Pooled it
  2. MEK Inhibition in Glioblastoma: Current Perspectives and Future Directions.International journal of molecular sciences · 2025
    Review
  3. Article
  4. Review
  5. Practical immunomodulatory landscape of glioblastoma multiforme (GBM) therapy.Journal of the Egyptian National Cancer Institute · 2024
    Review
  6. Article
  7. Small Molecule Tyrosine Kinase Inhibitors (TKIs) for Glioblastoma Treatment.International journal of molecular sciences · 2024
    Review
  8. Article
  9. Review
  10. Review
  11. Article
  12. Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. 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

11 authors at 4 institutions in 2 countries.

Karthika D SelvasaravananDepartment of Pediatrics and Adolescent Medicine, University Medical Center Ulm, Ulm, Germany.
Nicole WiederspohnDepartment of Pediatrics and Adolescent Medicine, University Medical Center Ulm, Ulm, Germany.
Amina HadzalicDepartment of Pediatrics and Adolescent Medicine, University Medical Center Ulm, Ulm, Germany.
Hannah StrobelDepartment of Pediatrics and Adolescent Medicine, University Medical Center Ulm, Ulm, Germany.
Christel PayerDepartment of Pediatrics and Adolescent Medicine, University Medical Center Ulm, Ulm, Germany.
Andrea SchusterDepartment of Pediatrics and Adolescent Medicine, University Medical Center Ulm, Ulm, Germany.
Georg Karpel-MasslerDepartment of Neurosurgery, University Medical Center Ulm, Ulm, Germany.
Markus D SiegelinDepartment of Pathology and Cell Biology, Columbia University Medical Center, New York, NY, USA.
Marc-Eric HalatschDepartment of Neurosurgery, University Medical Center Ulm, Ulm, Germany.
Klaus-Michael DebatinDepartment of Pediatrics and Adolescent Medicine, University Medical Center Ulm, Ulm, Germany.
Mike-Andrew WesthoffDepartment of Pediatrics and Adolescent Medicine, University Medical Center Ulm, Ulm, Germany. andrew.westhoff@uniklinik-ulm.de.
University Hospital Ulm · DEUniversität Ulm · DEColumbia University Irving Medical Center · USUniversity of Tübingen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glioblastoma (GB) is a highly aggressive, difficult to treat brain tumour. Successful treatment, consisting of maximal safe tumour de-bulking, followed by radiotherapy and treatment with the alkylating agent Temozolomide (TMZ), can extend patient survival to approximately 15 months. Combination treatments based on the inhibition of the PI3K pathway, which is the most frequently activated signalling cascade in GB, have so far only shown limited therapeutic success. Here, we use the clinically approved MEK inhibitor Trametinib to investigate its potential use in managing GB. Trametinib has a strong anti-proliferative effect on established GB cell lines, stem cell-like cells and their differentiated progeny and while it does not enhance anti-proliferative and cell death-inducing properties of the standard treatment, i.e. exposure to radiation or TMZ, neither does MEK inhibition block their effectiveness. However, upon MEK inhibition some cell populations appear to favour cell-substrate interactions in a sprouting assay and become more invasive in the Chorioallantoic Membrane assay, which assesses cell penetration into an organic membrane. While this increased invasion can be modulated by additional inhibition of the PI3K signalling cascade, there is no apparent benefit of blocking MEK compared to targeting PI3K.

Indexed as

Antineoplastic Combined Chemotherapy ProtocolsApoptosisBrain NeoplasmsCell AdhesionCell DeathCell Line, TumorCell ProliferationChorioallantoic MembraneDrug Screening Assays, AntitumorGlioblastomaHumansMAP Kinase Kinase 1Neoplasm InvasivenessNeoplasm MetastasisPhosphatidylinositol 3-KinasesPhosphorylationMAP Kinase Kinase 1Phosphatidylinositol 3-KinasesPyridonesPyrimidinonesTemozolomidetrametinib

Identifiers

PMID32366879
PMCPMC7198577
OpenAlexW3023347230

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.