Evidence map›Paper›PMID 38404489›Full record

ArticleACS measurement science au2024

In-Depth Glycoproteomic Assay of Urinary Prostatic Acid Phosphatase.

Wei Wang, Carmen R de Nier, Manfred Wuhrer, Guinevere S M Lageveen-Kammeijer

Abstract read
In one paragraph

Article in ACS measurement science au, 2024. 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

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

6 citing papers in PubMed.

  1. Review
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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

4 authors.

Wei WangLeiden University Medical Center, Center for Proteomics and Metabolomics, Leiden 2300 RC, The Netherlands.ORCID https://orcid.org/0000-0003-2457-3017
Carmen R de NierLeiden University Medical Center, Center for Proteomics and Metabolomics, Leiden 2300 RC, The Netherlands.
Manfred WuhrerLeiden University Medical Center, Center for Proteomics and Metabolomics, Leiden 2300 RC, The Netherlands.ORCID https://orcid.org/0000-0002-0814-4995
Guinevere S M Lageveen-KammeijerLeiden University Medical Center, Center for Proteomics and Metabolomics, Leiden 2300 RC, The Netherlands.ORCID https://orcid.org/0000-0001-7670-1151

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prostate-specific antigen (PSA) is a well-known clinical biomarker in prostate cancer (PCa) diagnosis, but a better test is still needed, as the serum-level-based PSA quantification exhibits limited specificity and comes with poor predictive value. Prior to PSA, prostatic acid phosphatase (PAP) was used, but it was replaced by PSA because PSA improved the early detection of PCa. Upon revisiting PAP and its glycosylation specifically, it appears to be a promising new biomarker candidate. Namely, previous studies have indicated that PAP glycoforms differ between PCa and non-PCa individuals. However, an in-depth characterization of PAP glycosylation is still lacking. In this study, we established an in-depth glycoproteomic assay for urinary PAP by characterizing both the micro- and macroheterogeneity of the PAP glycoprofile. For this purpose, PAP samples were analyzed by capillary electrophoresis coupled to mass spectrometry after affinity purification from urine and proteolytic digestion. The developed urinary PAP assay was applied on a pooled DRE (digital rectal examination) urine sample from nine individuals. Three glycosylation sites were characterized, namely N

Identifiers

PMID38404489
PMCPMC10885330

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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.