Evidence map›Paper›PMID 27229305›Full record

ReviewBMC cell biology2016

Connexin and pannexin channels in cancer.

Jean X Jiang, Silvia Penuela

Open access · goldAbstract readReview
In one paragraph

Review in BMC cell biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed
5.2field-weighted citation impact, top 4% 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

50 citing papers in PubMed, 68 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Pannexin 1 crosstalk with the Hippo pathway in malignant melanoma.bioRxiv : the preprint server for biology · 2024
    Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Pannexin1 channels-a potential therapeutic target in inflammation.Frontiers in cell and developmental biology · 2022
    Review
  16. Review
  17. Review
  18. Article
  19. Article
  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 2 institutions in 2 countries.

Jean X JiangDepartment of Biochemistry, University of Texas Health Science Center, San Antonio, TX, 78229, USA.
Silvia PenuelaDepartment of Anatomy and Cell Biology, University of Western Ontario, London, Ontario, N6A5C1, Canada. spenuela@uwo.ca.
The University of Texas Health Science Center at San Antonio · USWestern University · CA

Funding

Connexin hemichannels in suppression of breast cancer bone metastasisR01CA196214 · NCI · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI JIANG, JEAN X, SUN, LUZHE · 2016 to 2020
$1.8M
NCI NIH HHS R01 CA196214
6 · The paper itself

Abstract

Communication among cells via direct cell-cell contact by connexin gap junctions, or between cell and extracellular environment via pannexin channels or connexin hemichannels, is a key factor in cell function and tissue homeostasis. Upon malignant transformation in different cancer types, the dysregulation of these connexin and pannexin channels and their effect in cellular communication, can either enhance or suppress tumorigenesis and metastasis. In this review, we will highlight the latest reports on the role of the well characterized connexin family and its ability to form gap junctions and hemichannels in cancer. We will also introduce the more recently discovered family of pannexin channels and our current knowledge about their involvement in cancer progression.

Indexed as

AnimalsCell CycleClinical Trials as TopicConnexinsHumansNeoplasmsNerve Tissue ProteinsTumor MicroenvironmentConnexinsNerve Tissue Proteins

Identifiers

PMID27229305
PMCPMC4896247
OpenAlexW2407960705

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.