Evidence map›Paper›PMID 24159371›Full record

ReviewCNS oncology2013

Lipid metabolism emerges as a promising target for malignant glioma therapy.

Deliang Guo, Erica Hlavin Bell, Arnab Chakravarti

Open access · greenAbstract readReview
In one paragraph

Review in CNS oncology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 135 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
135citing papers in PubMed, 2 pooled it
1.9field-weighted citation impact, top 15% 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

135 citing papers in PubMed, 2 syntheses or guidelines pooled it, 201 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Insights Into circRNA-Mediated Lipid Metabolism in Cancer Progression.Journal of cellular and molecular medicine · 2026
    Review
  9. Article
  10. Review
  11. Article
  12. Topological segmentation of mass spectrometry imaging data.Journal of mass spectrometry and advances in the clinical lab · 2025
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article

75 more citing papers are in PubMed but not listed here.

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

3 authors at 1 institution in 1 country.

Deliang Guo
Erica Hlavin Bell
Arnab Chakravarti
The Ohio State University Comprehensive Cancer Center – Arthur G. James Cancer Hospital and Richard J. Solove Research Institute · US

Funding

Targeting the cholesterol metabolism to treat glioblastomaR01NS079701 · NINDS · OHIO STATE UNIVERSITY · PI GUO, DELIANG · 2013 to 2017
$1.7M
Targeting SREBP-1 regulated fatty acid synthesis pathway to treat glioblastomaR21NS072838 · NINDS · OHIO STATE UNIVERSITY · PI GUO, DELIANG · 2011 to 2012
$419k
NINDS NIH HHS NS072838NINDS NIH HHS NS079701NINDS NIH HHS R01 NS079701NINDS NIH HHS R21 NS072838
6 · The paper itself

Abstract

Malignant gliomas are one of the most treatment-refractory cancers. Development of resistance to chemo- and radio-therapies contributes to these tumors' aggressive phenotypes. Elevated lipid levels in gliomas have been reported for the last 50 years. However, the molecular mechanisms of how tumor tissues obtain lipids and utilize them are not well understood. Recently, the oncogenic signaling EGFR/PI3K/Akt pathway has been shown to enhance lipid synthesis and uptake by upregulating SREBP-1, a master transcriptional factor, to control lipid metabolism. This article discusses the analytical chemistry results of lipid components in glioma tissues from different research groups. The molecular mechanisms that link oncogenes with lipid programming, and identification of the key molecular targets and development of effective drugs to inhibit lipid metabolism in malignant gliomas will be discussed.

Indexed as

AnimalsBrain NeoplasmsGliomaHumansLipid MetabolismMagnetic Resonance SpectroscopyMolecular Targeted Therapy

Identifiers

PMID24159371
PMCPMC3804348
OpenAlexW2016177837

What OpenQuestion holds

Textmetadata
LicenceTDM
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.