Evidence map›Paper›PMID 32816187›Full record

ArticleMolecular and cellular biochemistry2021

Levels of plasma glycan-binding auto-IgG biomarkers improve the accuracy of prostate cancer diagnosis.

Julia Matzenbacher Dos Santos, Aby Joiakim, David J Kaplan, David A Putt, German Perez Bakovic, Shannon L Servoss, Benjamin A Rybicki, Alan A Dombkowski, Hyesook Kim

Open access · greenAbstract read
In one paragraph

Article in Molecular and cellular biochemistry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 32% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. Article
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

9 authors at 5 institutions in 1 country.

Julia Matzenbacher Dos SantosDetroit R&D, Inc., 2727 Second Ave. Suite 4113, Detroit, MI, USA.
Aby JoiakimDetroit R&D, Inc., 2727 Second Ave. Suite 4113, Detroit, MI, USA.
David J KaplanDetroit R&D, Inc., 2727 Second Ave. Suite 4113, Detroit, MI, USA.
David A PuttDetroit R&D, Inc., 2727 Second Ave. Suite 4113, Detroit, MI, USA.
German Perez BakovicDepartment of Chemical Engineering, University of Arkansas, Fayetteville, AR, USA.
Shannon L ServossDepartment of Chemical Engineering, University of Arkansas, Fayetteville, AR, USA.
Benjamin A RybickiHenry Ford Health System, Detroit, MI, USA.
Alan A DombkowskiDepartment of Pediatrics, Wayne State University School of Medicine, Detroit, MI, USA.
Hyesook KimDetroit R&D, Inc., 2727 Second Ave. Suite 4113, Detroit, MI, USA. hskim@detroitrandd.com.ORCID http://orcid.org/0000-0001-8603-222X
Detroit R&D (United States) · USUniversity of Arkansas at Fayetteville · USFairmont State University · USHenry Ford Health System · USWayne State University · US

Funding

Glycoproteins and Glycan-Binding IgGs: Biomarkers for Cancer and Inflammatory DiR43CA159721 · NCI · DETROIT R & D, INC. · PI KIM, HYESOOK · 2012 to 2013
$294k
NCI NIH HHS CA159721NCI NIH HHS R43 CA159721
6 · The paper itself

Abstract

Strategies to improve the early diagnosis of prostate cancer will provide opportunities for earlier intervention. The blood-based prostate-specific antigen (PSA) assay is widely used for prostate cancer diagnosis but specificity of the assay is not satisfactory. An algorithm based on serum levels of PSA combined with other serum biomarkers may significantly improve prostate cancer diagnosis. Plasma glycan-binding IgG/IgM studies suggested that glycan patterns differ between normal and tumor cells. We hypothesize that in prostate cancer glycoproteins or glycolipids are secreted from tumor tissues into the blood and induce auto-immunoglobulin (Ig) production. A 24-glycan microarray and a 5-glycan subarray were developed using plasma samples obtained from 35 prostate cancer patients and 54 healthy subjects to identify glycan-binding auto-IgGs. Neu5Acα2-8Neu5Acα2-8Neu5Acα (G81)-binding auto-IgG was higher in prostate cancer samples and, when levels of G81-binding auto-IgG and growth differentiation factor-15 (GDF-15 or NAG-1) were combined with levels of PSA, the prediction rate of prostate cancer increased from 78.2% to 86.2% than with PSA levels alone. The G81 glycan-binding auto-IgG fraction was isolated from plasma samples using G81 glycan-affinity chromatography and identified by N-terminal sequencing of the 50 kDa heavy chain variable region of the IgG. G81 glycan-binding 25 kDa fibroblast growth factor-1 (FGF1) fragment was also identified by N-terminal sequencing. Our results demonstrated that a multiplex diagnostic combining G81 glycan-binding auto-IgG, GDF-15/NAG-1 and PSA (≥ 2.1 ng PSA/ml for cancer) increased the specificity of prostate cancer diagnosis by 8%. The multiplex assessment could improve the early diagnosis of prostate cancer thereby allowing the prompt delivery of prostate cancer treatment.

Indexed as

Gene Expression ProfilingGene Expression Regulation, NeoplasticAgedAlgorithmsBiomarkersBiomarkers, TumorEarly Detection of CancerHumansImmunoglobulin GMaleMiddle AgedNeoplasm MetastasisOligonucleotide Array Sequence AnalysisPolymersPolysaccharidesProstate-Specific AntigenBiomarkersBiomarkers, TumorImmunoglobulin GPolymersPolysaccharidesProstate-Specific AntigenBiomarkerGDF-15/NAG-1Glycan-binding auto-IgGProstate cancerPSA

Identifiers

PMID32816187
PMCPMC7867609
OpenAlexW3080992385

What OpenQuestion holds

Textmetadata
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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.