Evidence map›Paper›PMID 34445128›Full record

ReviewInternational journal of molecular sciences2021

WNT Signaling as a Therapeutic Target for Glioblastoma.

Michael Latour, Nam-Gu Her, Santosh Kesari, Elmar Nurmemmedov

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.

0numbers the graph read from it
0cells of the map it votes in
53citing 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

53 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Recent advances in molecular mechanisms of microRNAs in pathogenesis and resistance of treatment in glioblastoma.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025
    Review
  10. Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. Review
  16. Translational cancer research · 2025
    Article
  17. Drosophila melanogaster as a Model System for Human Glioblastoma.Advances in experimental medicine and biology · 2025
    Review
  18. TRIM21: a multifaceted regulator in cancer.Frontiers in cell and developmental biology · 2025
    Review
  19. Article
  20. 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

4 authors.

Michael LatourSaint John's Cancer Institute at Providence Saint John's Health Center, Santa Monica, CA 90404, USA.
Nam-Gu HerSamsung Medical Center, Seoul 135-710, Korea.
Santosh KesariSaint John's Cancer Institute at Providence Saint John's Health Center, Santa Monica, CA 90404, USA.
Elmar NurmemmedovSaint John's Cancer Institute at Providence Saint John's Health Center, Santa Monica, CA 90404, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The WNT (Wingless/Integrated) signaling pathway is implicated in various stages of glioblastoma, which is an aggressive brain tumor for which therapeutic options are limited. WNT has been recognized as a hallmark of therapeutic challenge due to its context-dependent role and critical function in healthy tissue homeostasis. In this review, we deeply scrutinize the WNT signaling pathway and its involvement in the genesis of glioblastoma as well as its acquired therapy resistance. We also provide an analysis of the WNT pathway in terms of its therapeutic importance in addition to an overview of the current targeted therapies under clinical investigation.

Indexed as

AnimalsBrain NeoplasmsGlioblastomaHumansWnt Signaling Pathwaybeta-catenindrugglioblastomaresistancetherapeuticWNT

Identifiers

PMID34445128
PMCPMC8395085

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.