Evidence map›Paper›PMID 36510001›Full record

ReviewBritish journal of cancer2023

The role of PPARγ in prostate cancer development and progression.

Andrew Hartley, Imran Ahmad

Registry-linked trialOpen access · hybridFull text readReview
In one paragraph

Review in British journal of cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06168487 (Phase I Non-Randomized, Unblinded, Single-Center Trial of Oral Telmisartan Alone or Combined With Selected Standard of Care Therapies for Prostate Cancer), which is not on this map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
4.1field-weighted citation impact, top 5% 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.

NCT06168487 phase1recruitingnot on this mapstarted 2024, after this paper: background citation

Phase I Non-Randomized, Unblinded, Single-Center Trial of Oral Telmisartan Alone or Combined With Selected Standard of Care Therapies for Prostate Cancer

TypeinterventionalSponsorTyler J CurielRan2024 to 2027Enrolled36ConditionsProstate CancerArmsTelmisartan, Standard of Care Regimen
3 · Its place in the literature

Who cites it

32 citing papers in PubMed, 49 citations in OpenAlex.

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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.

Andrew HartleySchool of Cancer Sciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, G61 1QH, UK.
Imran AhmadSchool of Cancer Sciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, G61 1QH, UK. Imran.Ahmad@glasgow.ac.uk.ORCID http://orcid.org/0000-0002-4404-1926
Cancer Research UK Scotland Institute · GB

Funding

Cancer Research UK 19661
6 · The paper itself

Abstract

Advanced and metastatic prostate cancer is often incurable, but its dependency on certain molecular alterations may provide the basis for targeted therapies. A growing body of research has demonstrated that peroxisome proliferator-activated receptor gamma (PPARγ) is amplified as prostate cancer progresses. PPARγ has been shown to support prostate cancer growth through its roles in fatty acid synthesis, mitochondrial biogenesis, and co-operating with androgen receptor signalling. Interestingly, splice variants of PPARγ may have differing and contrasting roles. PPARγ itself is a highly druggable target, with agonists having been used for the past two decades in treating diabetes. However, side effects associated with these compounds have currently limited clinical use of these drugs in prostate cancer. Further understanding of PPARγ and novel techniques to target it, may provide therapies for advanced prostate cancer.

Indexed as

Diabetes MellitusProstatic NeoplasmsHumansMalePPAR gammaSignal TransductionPPAR gamma

Identifiers

PMID36510001
PMCPMC10006070
OpenAlexW4311283450

What OpenQuestion holds

Textfull text, public
LicenceCC BY
Read underepoch 390

Registered trials

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.