Evidence map›Paper›PMID 29502397›Full record

ArticleAnalytical chemistry2018

An In-Depth Glycosylation Assay for Urinary Prostate-Specific Antigen.

Guinevere S M Kammeijer, Jan Nouta, Jean J M C H de la Rosette, Theo M de Reijke, Manfred Wuhrer

Open access · hybridAbstract read
In one paragraph

Article in Analytical chemistry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

28 citing papers in PubMed, 69 citations in OpenAlex.

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  10. The Role of Clinical Glyco(proteo)mics in Precision Medicine.Molecular & cellular proteomics : MCP · 2023
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  20. Mass Spectrometry-Based Glycoproteomics and Prostate Cancer.International journal of molecular sciences · 2021
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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

5 authors at 2 institutions in 1 country.

Guinevere S M KammeijerLeiden University Medical Center , Center for Proteomics and Metabolomics , 2300 RC Leiden , The Netherlands.ORCID 0000-0001-7670-1151
Jan NoutaLeiden University Medical Center , Center for Proteomics and Metabolomics , 2300 RC Leiden , The Netherlands.
Jean J M C H de la RosetteAcademic Medical Center , University of Amsterdam , 1105 AZ Amsterdam , The Netherlands.
Theo M de ReijkeAcademic Medical Center , Department of Urology , 1105 AZ Amsterdam , The Netherlands.
Manfred WuhrerLeiden University Medical Center , Center for Proteomics and Metabolomics , 2300 RC Leiden , The Netherlands.
Leiden University Medical Center · NLAmsterdam UMC Location University of Amsterdam · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The concentration of prostate-specific antigen (PSA) in serum is used as an early detection method of prostate cancer (PCa); however, it shows low sensitivity, specificity, and a poor predictive value. Initial studies suggested the glycosylation of PSA to be a promising marker for a more specific yet noninvasive PCa diagnosis. Recent studies on the molecular features of PSA glycosylation (such as antenna modification and core fucosylation) were not successful in demonstrating its potential for an improved PCa diagnosis, probably due to the lack of analytical sensitivity and specificity of the applied assays. In this study, we established for the first time a high-performance PSA Glycomics Assay (PGA), allowing differentiation of α2,6- and α2,3-sialylated isomers, the latter one being suggested to be a hallmark of aggressive types of cancer. After affinity purification from urine and tryptic digestion, PSA samples were analyzed by CE-ESI-MS (capillary electrophoresis-electrospray ionization coupled to mass spectrometry). Based on positive controls, an average interday relative standard deviation of 14% for 41 N-glycopeptides was found. The assay was further verified by analyzing PSA captured from patients' urine samples. A total of 67 N-glycopeptides were identified from the PSA pooled from the patients. In summary, the first PGA successfully established in this study allows an in-depth relative quantitation of PSA glycoforms from urine. The PGA is a promising tool for the determination of potential glycomic biomarkers for the differentiation between aggressive PCa, indolent PCa, and benign prostate hyperplasia in larger cohort studies.

Indexed as

AgedAged, 80 and overGlycosylationHumansMaleMiddle AgedProstate-Specific AntigenProstatic NeoplasmsProstate-Specific Antigen

Identifiers

PMID29502397
PMCPMC5885261
OpenAlexW2789743861

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.