Evidence map›Paper›PMID 32091301›Full record

ArticleCell adhesion & migration2020

EpCAM-claudin-tetraspanin-modulated ovarian cancer progression and drug resistance.

Zehra Tavsan, Hülya Ayar Kayalı

Open access · goldAbstract read
In one paragraph

Article in Cell adhesion & migration, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 29% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Review
  6. Review
  7. Article
  8. Review
  9. Article
  10. Assessment of TSPAN Expression Profile and Their Role in the VSCC Prognosis.International journal of molecular sciences · 2021
    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

2 authors at 2 institutions in 1 country.

Zehra TavsanChemistry Department, The Graduate School of Natural and Applied Science, Dokuz Eylül University, İzmir, Turkey.
Hülya Ayar KayalıIzmir Biomedicine and Genome Center, Izmir, Turkey.
Dokuz Eylül University · TRIzmir University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alterations of cell adhesion are involved in cancer progression, but the mechanisms underlying the progression and cell adhesion have remained poorly understood. Focusing on the complex between EpCAM, claudins and tetraspanins, we described a sequence of events by which of the molecules associate each other in ovarian cancer. The interactions between molecules were evaluated by immunoprecipitations and then immunoblotting. To identify the effects of complex formation on the ovarian cancer progression, the different types of ovarian cancer cell lines were compared. In this study, we report the identification of the EpCAM-claudin-4 or -7-CD82 complex in the ovarian cancer progression and metastasis in vitro. Additionally, we demonstrated palmitoylation and intra- or extra-cellular regions are critically required for the complex formation. These results represent the first direct evidence for the link between the dynamism of cell adhesion molecules and ovarian cancer progression.

Indexed as

Disease ProgressionDrug Resistance, NeoplasmAnimalsCell Line, TumorClaudinsEpithelial Cell Adhesion MoleculeFemaleHumansLipoylationMice, Inbred BALB CMice, NudeOvarian NeoplasmsProtein DomainsProtein IsoformsTetraspaninsClaudinsEpithelial Cell Adhesion MoleculeProtein IsoformsTetraspaninscell adhesionclaudinsEpCAMOvarian cancerpalmitoylationtetraspanins

Identifiers

PMID32091301
PMCPMC7757826
OpenAlexW3007345527

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.