Evidence map›Paper›PMID 24193354›Full record

ArticleNaunyn-Schmiedeberg's archives of pharmacology2014

Muscarinic receptor subtype mRNA expression in the human prostate: association with age, pathological diagnosis, prostate size, or potentially interfering medications?

Lambertus P W Witte, Christine A Teitsma, Jean J M C H de la Rosette, Martin C Michel

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Article in Naunyn-Schmiedeberg's archives of pharmacology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

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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

6 citing papers in PubMed.

  1. Article
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  3. Review
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  6. 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

4 authors.

Lambertus P W WitteDepartment of Urology, Academic Medical Center, Amsterdam, The Netherlands.
Christine A Teitsma
Jean J M C H de la Rosette
Martin C Michel

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As the prostate abundantly expresses muscarinic receptors and antagonists for such receptors are increasingly used in the treatment of men with voiding function and large prostates, we have explored an association of the mRNA expression of human M1, M2, M3, M4, and M5 receptors in human prostate with patient age, prostate size, prostate-specific antigen level, pathological diagnosis, and concomitant medication. mRNA was isolated from prostate chips of 110 consecutive patients undergoing transurethral resection of the prostate for the treatment of benign prostatic hyperplasia or prostate cancer. Expression of each of the five muscarinic receptor subtype transcripts was assessed by real-time PCR and association with patient age, prostate size, prostate-specific antigen level, pathological diagnosis, and concomitant medication were explored. M1 and M4 receptors were the most and least prevalently expressed subtypes in the human prostate, respectively. M1 receptor mRNA expression was weakly but significantly associated with prostate size (r = 0.2494, p = 0.0451), but mRNA expression of none of the five subtypes was significantly associated with age, prostate-specific antigen level, pathological diagnosis (benign prostatic hyperplasia vs. prostate cancer), or concomitant medication (5α-reductase inhibitors, α1- or β-adrenoceptor antagonists). We conclude that human prostate muscarinic receptor subtype transcripts apparently undergo only a very limited regulation by a variety of physiological, pathophysiological, or treatment factors. In light of the growing use of muscarinic receptor antagonists in men with voiding dysfunction including those with large prostates, the functional role of the weak association between M1 receptor mRNA expression and prostate size merits further investigation.

Indexed as

AgedAge FactorsGene ExpressionHumansMaleMiddle AgedProstateProstatic HyperplasiaProstatic NeoplasmsReceptors, MuscarinicRNA, MessengerTransurethral Resection of ProstateReceptors, MuscarinicRNA, Messenger

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Registered trials

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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.