Evidence map›Paper›PMID 38254886›Full record

ReviewCancers2024

Emerging Lipid Targets in Glioblastoma.

Ammar Darwish, Milán Pammer, Ferenc Gallyas, László Vígh, Zsolt Balogi, Kata Juhász

Open access · goldAbstract readReview
In one paragraph

Review in Cancers, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
4.6field-weighted citation impact, top 5% 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

13 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Review
  3. Accumulation of Siglec10European journal of immunology · 2026
    Article
  4. Article
  5. Pharmaceuticals (Basel, Switzerland) · 2025
    Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Review
  13. Review
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

6 authors at 2 institutions in 1 country.

Ammar DarwishInstitute of Biochemistry and Medical Chemistry, Medical School, University of Pécs, 7624 Pécs, Hungary.
Milán PammerInstitute of Biochemistry and Medical Chemistry, Medical School, University of Pécs, 7624 Pécs, Hungary.
Ferenc GallyasInstitute of Biochemistry and Medical Chemistry, Medical School, University of Pécs, 7624 Pécs, Hungary.ORCID 0000-0002-1906-4333
László VíghInstitute of Biochemistry, HUN-REN Biological Research Center, 6726 Szeged, Hungary.ORCID 0000-0001-7450-105X
Zsolt BalogiInstitute of Biochemistry and Medical Chemistry, Medical School, University of Pécs, 7624 Pécs, Hungary.
Kata JuhászInstitute of Biochemistry and Medical Chemistry, Medical School, University of Pécs, 7624 Pécs, Hungary.ORCID 0000-0003-1112-1441
Institute of Biochemistry · HUHUN-REN Szegedi Biológiai Kutatóközpont · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

GBM accounts for most of the fatal brain cancer cases, making it one of the deadliest tumor types. GBM is characterized by severe progression and poor prognosis with a short survival upon conventional chemo- and radiotherapy. In order to improve therapeutic efficiency, considerable efforts have been made to target various features of GBM. One of the targetable features of GBM is the rewired lipid metabolism that contributes to the tumor's aggressive growth and penetration into the surrounding brain tissue. Lipid reprogramming allows GBM to acquire survival, proliferation, and invasion benefits as well as supportive modulation of the tumor microenvironment. Several attempts have been made to find novel therapeutic approaches by exploiting the lipid metabolic reprogramming in GBM. In recent studies, various components of

Indexed as

GBMlipid therapytumor hallmarkstumor lipid

Identifiers

PMID38254886
PMCPMC10814456
OpenAlexW4390954762

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.