Evidence map›Paper›PMID 25553114›Full record

ArticleTheranostics2015

Serum fucosylated prostate-specific antigen (PSA) improves the differentiation of aggressive from non-aggressive prostate cancers.

Qing Kay Li, Li Chen, Ming-Hui Ao, Joyce Hanching Chiu, Zhen Zhang, Hui Zhang, Daniel W Chan

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in Theranostics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing 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.

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

38 citing papers in PubMed, 68 citations in OpenAlex.

  1. High-MannoseJournal of proteome research · 2026
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  10. Fucosylation in Urological Cancers.International journal of molecular sciences · 2021
    Review
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  14. Prostate Cancer Biomarker Development: National Cancer Institute's Early Detection Research Network Prostate Cancer Collaborative Group Review.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2020
    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

7 authors at 2 institutions in 1 country.

Qing Kay LiDepartments of Pathology, The Johns Hopkins Medical Institutions, Baltimore, MD 21287, USA.
Li ChenDepartments of Pathology, The Johns Hopkins Medical Institutions, Baltimore, MD 21287, USA.
Ming-Hui AoDepartments of Pathology, The Johns Hopkins Medical Institutions, Baltimore, MD 21287, USA.
Joyce Hanching ChiuDepartments of Pathology, The Johns Hopkins Medical Institutions, Baltimore, MD 21287, USA.
Zhen ZhangDepartments of Pathology, The Johns Hopkins Medical Institutions, Baltimore, MD 21287, USA.
Hui ZhangDepartments of Pathology, The Johns Hopkins Medical Institutions, Baltimore, MD 21287, USA.
Daniel W ChanDepartments of Pathology, The Johns Hopkins Medical Institutions, Baltimore, MD 21287, USA.
Johns Hopkins University · USJohns Hopkins Bayview Medical Center · US

Funding

Proteome Characterization Center: A Genoproteomics Pipeline for Cance ResearchU24CA160036 · NCI · JOHNS HOPKINS UNIVERSITY · PI CHAN, DANIEL WANYUI, ZHANG, HUI · 2011 to 2016
$10.7M
Clinical and Analytical Validation of Cancer BiomarkersU24CA115102 · NCI · JOHNS HOPKINS UNIVERSITY · PI CHAN, DANIEL WANYUI · 2005 to 2021
$7.4M
Glycoprotein biomarkers for the early detection of aggressive prostate cancerU01CA152813 · NCI · JOHNS HOPKINS UNIVERSITY · PI ZHANG, HUI · 2010 to 2021
$6.2M
NCI NIH HHS U01 CA152813NCI NIH HHS U01CA152813NCI NIH HHS U24 CA115102NCI NIH HHS U24CA115102NCI NIH HHS U24 CA160036NCI NIH HHS U24CA160036
6 · The paper itself

Abstract

backgroundClinically, it is still challenging to differentiate aggressive from non-aggressive prostate cancers (Pca) by non-invasive approaches. Our recent studies showed that overexpression of alpha (1-6) fucosyltransferase played an important role in Pca cells. In this study, we have investigated levels of glycoproteins and their fucosylated glycoforms in sera of Pca patients, as well as the potential utility of fucosylated glycoproteins in the identification of aggressive Pca. MATERIAL AND

methodsSerum samples from histomorphology-proven Pca cases were included. Prostate-specific antigen (PSA), tissue inhibitor of metallopeptidase 1 (TIMP1) and tissue plasminogen activator (tPA), and their fucosylated glycoforms were captured by Aleuria Aurantia Lectin (AAL), followed by the multiplex magnetic bead-based immunoassay. The level of fucosylated glycoproteins was correlated with patients' Gleason score of the tumor.

resultAmong three fucosylated glycoproteins, the fucosylated PSA was significantly increased and correlated with the tumor Gleason score (p<0.05). The ratio of fucosylated PSA showed a marked increase in aggressive tumors in comparison to non-aggressive tumors. ROC analysis also showed an improved predictive power of fucosylated PSA in the identification of aggressive Pca.

conclusionsOur data demonstrated that fucosylated PSA has a better predictive power to differentiate aggressive tumors from non-aggressive tumors, than that of native PSA and two other glycoproteins. The fucosylated PSA has the potential to be used as a surrogate biomarker.

Indexed as

AdultAgedGlycosylationHumansImmunoassayKallikreinsMaleMiddle AgedPredictive Value of TestsProstate-Specific AntigenProstatic NeoplasmsROC CurveSerumSeverity of Illness IndexTissue Inhibitor of Metalloproteinase-1Tissue Plasminogen ActivatorKallikreinsKLK3 protein, humanProstate-Specific AntigenTIMP1 protein, humanTissue Inhibitor of Metalloproteinase-1Tissue Plasminogen Activatorfucosylated glycoproteinmultiplex immunoassayprostate cancerprostate-specific antigenTIMP1.

Identifiers

PMID25553114
PMCPMC4279190
OpenAlexW2169884144

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.