Evidence map›Paper›PMID 24325789›Full record

ReviewChinese journal of cancer2014

Molecular biology of high-grade gliomas: what should the clinician know?

Silvia Hofer, Elisabeth Rushing, Matthias Preusser, Christine Marosi

Abstract readReview
In one paragraph

Review in Chinese journal of cancer, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
–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

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Clinical management of grade III oligodendroglioma.Cancer management and research · 2015
    Review
  17. Article
  18. High-grade gliomas: reality and hopes.Chinese journal of cancer · 2014
    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.

Silvia HoferDepartment of Medical Oncology, University Hospital Zürich, Zürich, Switzerland. silvia.hofer@usz.ch.
Elisabeth Rushing
Matthias Preusser
Christine Marosi

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The current World Health Organization classification system of primary brain tumors is solely based on morphologic criteria. However, there is accumulating evidence that tumors with similar histology have distinct molecular signatures that significantly impact treatment response and survival. Recent practice-changing clinical trials have defined a role for routine assessment of O-6-methylguanine-DNA methyltransferase (MGMT) promoter methylation in glioblastoma patients, especially in the elderly, and 1p and 19q codeletions in patients with anaplastic glial tumors. Recently discovered molecular alterations including mutations in IDH-1/2, epidermal growth factor receptor (EGFR), and BRAF also have the potential to become targets for future drug development. This article aims to summarize current knowledge on the molecular biology of high-grade gliomas relevant to daily practice.

Indexed as

Brain NeoplasmsChromosome DeletionGliomaAgedDNA MethylationDNA Modification MethylasesDNA Repair EnzymesErbB ReceptorsGlioblastomaHumansIsocitrate DehydrogenaseNeoplasm GradingOligodendrogliomaPoint MutationPromoter Regions, GeneticTumor Suppressor ProteinsDNA Modification MethylasesDNA Repair Enzymesepidermal growth factor receptor VIIIErbB ReceptorsIDH1 protein, humanIDH2 protein, humanIsocitrate DehydrogenaseMGMT protein, humanTumor Suppressor Proteins

Identifiers

PMID24325789
PMCPMC3905084

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.