Evidence map›Paper›PMID 18369415›Full record

ArticlePLoS computational biology2008

Entropy measures quantify global splicing disorders in cancer.

William Ritchie, Samuel Granjeaud, Denis Puthier, Daniel Gautheret

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

35 citing papers in PubMed, 61 citations in OpenAlex.

  1. Article
  2. Article
  3. Perplexity as a Metric for Isoform Diversity in the Human Transcriptome.bioRxiv : the preprint server for biology · 2025
    Article
  4. Article
  5. Quantifying transcriptome diversity: a review.Briefings in functional genomics · 2024
    Review
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  15. Article
  16. Article
  17. Cachexia: a problem of energetic inefficiency.Journal of cachexia, sarcopenia and muscle · 2014
    Article
  18. Article
  19. Article
  20. Splicing factor SRSF6 promotes hyperplasia of sensitized skin.Nature structural & molecular biology · 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 at 2 institutions in 1 country.

William RitchieUniversité de Méditerranée, INSERM ERM 206, Technologies Avancées pour le Génome et Clinique, Marseille, France.
Samuel Granjeaud
Denis Puthier
Daniel Gautheret
Inserm · FRUniversité Paris-Sud · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Most mammalian genes are able to express several splice variants in a phenomenon known as alternative splicing. Serious alterations of alternative splicing occur in cancer tissues, leading to expression of multiple aberrant splice forms. Most studies of alternative splicing defects have focused on the identification of cancer-specific splice variants as potential therapeutic targets. Here, we examine instead the bulk of non-specific transcript isoforms and analyze their level of disorder using a measure of uncertainty called Shannon's entropy. We compare isoform expression entropy in normal and cancer tissues from the same anatomical site for different classes of transcript variations: alternative splicing, polyadenylation, and transcription initiation. Whereas alternative initiation and polyadenylation show no significant gain or loss of entropy between normal and cancer tissues, alternative splicing shows highly significant entropy gains for 13 of the 27 cancers studied. This entropy gain is characterized by a flattening in the expression profile of normal isoforms and is correlated to the level of estimated cellular proliferation in the cancer tissue. Interestingly, the genes that present the highest entropy gain are enriched in splicing factors. We provide here the first quantitative estimate of splicing disruption in cancer. The expression of normal splice variants is widely and significantly disrupted in at least half of the cancers studied. We postulate that such splicing disorders may develop in part from splicing alteration in key splice factors, which in turn significantly impact multiple target genes.

Indexed as

Models, GeneticAlternative SplicingBiomarkers, TumorComputer SimulationEntropyGene Expression Regulation, NeoplasticGene TargetingGenetic Predisposition to DiseaseGenetic VariationHumansModels, StatisticalMutationNeoplasm ProteinsNeoplasmsProtein SplicingBiomarkers, TumorNeoplasm Proteins

Identifiers

PMID18369415
PMCPMC2268240
OpenAlexW2002354671

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.