Evidence map›Paper›PMID 23805239›Full record

Trial reportPloS one2013

A Molecular Predictor Reassesses Classification of Human Grade II/III Gliomas.

Thierry Rème, Jean-Philippe Hugnot, Ivan Bièche, Valérie Rigau, Fanny Burel-Vandenbos, Vincent Prévot, Marc Baroncini, Denys Fontaine, Hugues Chevassus, Sophie Vacher and 4 more

Abstract readClinical Trial
In one paragraph

Trial report in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

14 authors.

Thierry RèmeINSERM-UM1 U1040; CHRU Montpellier, Institute of Research in Biotherapy, Montpellier, France.
Jean-Philippe Hugnot
Ivan Bièche
Valérie Rigau
Fanny Burel-Vandenbos
Vincent Prévot
Marc Baroncini
Denys Fontaine
Hugues Chevassus
Sophie Vacher
Rosette Lidereau
Hugues Duffau
Luc Bauchet
Dominique Joubert

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diffuse gliomas are incurable brain tumors divided in 3 WHO grades (II; III; IV) based on histological criteria. Grade II/III gliomas are clinically very heterogeneous and their prognosis somewhat unpredictable, preventing definition of appropriate treatment. On a cohort of 65 grade II/III glioma patients, a QPCR-based approach allowed selection of a biologically relevant gene list from which a gene signature significantly correlated to overall survival was extracted. This signature clustered the training cohort into two classes of low and high risk of progression and death, and similarly clustered two external independent test cohorts of 104 and 73 grade II/III patients. A 22-gene class predictor of the training clusters optimally distinguished poor from good prognosis patients (median survival of 13-20 months versus over 6 years) in the validation cohorts. This classification was stronger at predicting outcome than the WHO grade II/III classification (P≤2.8E-10 versus 0.018). When compared to other prognosis factors (histological subtype and genetic abnormalities) in a multivariate analysis, the 22-gene predictor remained significantly associated with overall survival. Early prediction of high risk patients (3% of WHO grade II), and low risk patients (29% of WHO grade III) in clinical routine will allow the development of more appropriate follow-up and treatments.

Indexed as

Brain NeoplasmsGene Expression Regulation, NeoplasticGliomaAdultCase-Control StudiesDisease-Free SurvivalFemaleGene Expression ProfilingHumansMaleNeoplasm GradingPredictive Value of TestsSurvival Rate

Identifiers

PMID23805239
PMCPMC3689754

What OpenQuestion holds

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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.