Evidence map›Paper›PMID 24393335›Full record

ArticleCNS neuroscience & therapeutics2014

Long noncoding RNA profiles reveal three molecular subtypes in glioma.

Rui Li, Jin Qian, Ying-Yi Wang, Jun-Xia Zhang, Yong-Ping You

Open access · bronzeAbstract readValidation Study
In one paragraph

Article in CNS neuroscience & therapeutics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
3.8field-weighted citation impact, top 6% 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

47 citing papers in PubMed, 66 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Review
  20. 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

5 authors at 1 institution in 1 country.

Rui LiDepartment of Neurosurgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Jin Qian
Ying-Yi Wang
Jun-Xia Zhang
Yong-Ping You
Jiangsu Province Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGliomas are the most lethal type of primary brain tumor in adult. Long noncoding RNAs (lncRNAs), which are involved in the progression of various cancers, may offer a potential gene therapy target in glioma. METHODS AND

findingsWe first classified gliomas into three molecular subtypes (namely LncR1, LncR2 and LncR3) in Rembrandt dataset using consensus clustering. Survival analysis indicated that LncR3 had the best prognosis, while the LncR1 subtype showed the poorest overall survival rate. The results were further validated in an independent glioma dataset GSE16011. Additionally, we collected and merged data of the two databases (Rembrandt and GSE16011 dataset) and analyzed prognosis of each subtype in WHO II, III and IV gliomas. The similar results were obtained. Gene Set Variation Analysis (GSVA) demonstrated that LncR1 subtype enriched cultured astroglia's gene signature, while LncR2 subtype was characterized by neuronal gene signature. Oligodendrocytic was rich in LncR3. In addition, IDH1 mutation and 1p/19q LOH were found rich with LncR3, and EGFR amplification showed high percentage in LncR1 in GSE16011 dataset.

conclusionsWe report a novel molecular classification of glioma based on lncRNA expression profiles and believe that it would provide a potential platform for future studies on gene treatment for glioma and lead to more individualized therapies to improve survival rates.

Indexed as

TranscriptomeAstrocytesAstrocytomaBrain NeoplasmsCells, CulturedCluster AnalysisDatabases, GeneticGene Expression Regulation, NeoplasticGlioblastomaGliomaHumansKaplan-Meier EstimateMicroarray AnalysisNeoplasm StagingNeuronsOligodendrogliaRNA, Long NoncodingGliomaLncRNAMolecular subtypesPrognosis

Identifiers

PMID24393335
PMCPMC6493123
OpenAlexW2128559801

What OpenQuestion holds

Textmetadata
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.