Evidence map›Paper›PMID 24641493›Full record

ReviewMolecular membrane biology2014

The role of the endosomal sorting complexes required for transport (ESCRT) in tumorigenesis.

Claudia Mattissek, David Teis

Open access · bronzeAbstract readReview
In one paragraph

Review in Molecular membrane biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
1.2field-weighted citation impact, top 24% 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

32 citing papers in PubMed, 57 citations in OpenAlex.

  1. Article
  2. ESCRT-III function in membrane fission and repair.Nature reviews. Molecular cell biology · 2026
    Review
  3. Review
  4. Review
  5. Review
  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Claudins as biomarkers of differential diagnosis and prognosis of tumors.Journal of cancer research and clinical oncology · 2021
    Review
  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

2 authors at 1 institution in 1 country.

Claudia MattissekDivision of Cell Biology, Biocenter, Innsbruck Medical University , Innsbruck , Austria.
David Teis
Innsbruck Medical University · AT

Funding

Austrian Science Fund FWF Y 444
6 · The paper itself

Abstract

The endosomal sorting complexes required for transport (ESCRT) are needed for three distinct cellular functions in higher eukaryotes: (i) Multivesicular body formation for the degradation of transmembrane proteins in lysosomes, (ii) midbody abscission during cytokinesis and (iii) retroviral budding. Not surprisingly, loss of ESCRT function has severe consequences, which include the failure to down-regulate growth factor receptors leading to deregulated mitogenic signaling. While it is clear that the function of the ESCRT machinery is important for embryonic development, its role in cancer is more controversial. Various experimental approaches in different model organisms arrive at partially divergent conclusions regarding the contribution of ESCRTs to tumorigenesis. Therefore the aim of this review is to provide an overview on different model systems used to study the role of the ESCRT machinery in cancer development, to highlight common grounds and present certain controversies in the field.

Indexed as

AnimalsApoptosisCarcinogenesisCell ProliferationDrosophilaEndosomal Sorting Complexes Required for TransportEndosomesErbB ReceptorsHumansLysosomesMiceNeoplasmsSignal TransductionZebrafishEGFR protein, humanEndosomal Sorting Complexes Required for TransportErbB ReceptorsEndosomesESCRTtumorigenesis

Identifiers

PMID24641493
PMCPMC4059258
OpenAlexW2011418045

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.