Evidence map›Paper›PMID 19707453›Full record

ArticleBiologics : targets & therapy2008

The target of arachidonic acid pathway is a new anticancer strategy for human prostate cancer.

Masahide Matsuyama, Rikio Yoshimura

Open access · goldAbstract read
In one paragraph

Article in Biologics : targets & therapy, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.9field-weighted citation impact, top 16% 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

13 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Article
  3. Self-regulation of the inflammatory response by peroxisome proliferator-activated receptors.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2019
    Review
  4. Article
  5. Article
  6. Mammalian lipoxygenases and their biological relevance.Biochimica et biophysica acta · 2015
    Review
  7. Article
  8. Article
  9. The endocannabinoid system in prostate cancer.Nature reviews. Urology · 2011
    Review
  10. Article
  11. Article
  12. Article
  13. 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 1 institution in 1 country.

Masahide MatsuyamaDepartment of Urology, Osaka City University Graduate School of Medicine, Osaka, Japan.
Rikio Yoshimura
Osaka City University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent epidemiological studies and animal experiments have demonstrated that nonsteroidal anti-inflammatory drugs (NSAIDs) reduce the incidence of colorectal carcinoma. Cyclooxygenase (COX) is the principal target of NSAIDs. COX is the first oxidase in the process of prostaglandin production from arachidonic acid. COX enzyme may be involved in the initiation and/or the promotion of carcinogenesis due to NSAIDs inhibition of COX. Lipoxygenase (LOX) is also an initial enzyme in the pathway for producing leukotrienes from arachidonic acid. Similar to COX, LOX enzyme may also be involved in the initiation and/or promotion of carcinogenesis. Peroxisome proliferator activator-receptor (PPAR)-gamma is a ligand-activated transcriptional factor belonging to the steroid receptor superfamily. PPAR-gamma plays a role in both adipocyte differentiation and carcinogenesis. PPAR-gamma is one target for cell growth modulation of NSAIDs. In this review, we report the expression of COX-2, LOX and PPAR-gamma in human prostate cancer tissues as well as the effects of COX-2 and LOX inhibitors and PPAR-gamma ligand.

Indexed as

cyclooxygenaselipoxygenaseperoxisome proliferator activator-receptor-γprostate cancer

Identifiers

PMID19707453
PMCPMC2727910
OpenAlexW2013860199

What OpenQuestion holds

Textmetadata
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.