Evidence map›Paper›PMID 24575722›Full record

ArticleJournal of proteome research2014

Analysis of glycan variation on glycoproteins from serum by the reverse lectin-based ELISA assay.

Jing Wu, Jianhui Zhu, Haidi Yin, Ronald J Buckanovich, David M Lubman

Open access · bronzeAbstract read
In one paragraph

Article in Journal of proteome research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

26 citing papers in PubMed, 54 citations in OpenAlex.

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  8. Haptoglobin polymorphism affects its N-glycosylation pattern in serum.Journal of mass spectrometry and advances in the clinical lab · 2022
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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.

Jing WuUniversity of Michigan , Department of Surgery, 1150 West Medical Center Drive, Ann Arbor, Michigan 48109, United States.
Jianhui Zhu
Haidi Yin
Ronald J Buckanovich
David M Lubman
University of Michigan–Ann Arbor · USRegional West Medical Center · US

Funding

Supplemental for Detection of Glycopeptides of MCI in Patient SerumR01CA160254 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI David M. Lubman · 2012 to 2026
$5.4M
NCI NIH HHS 1 R01 CA 160254NCI NIH HHS R01 CA160254
6 · The paper itself

Abstract

Altered glycosylation in glycoproteins is associated with carcinogenesis, and certain glycan structures and glycoproteins are well-known markers for tumor progression. To identify potential diagnostic candidate markers, we have developed a novel method for analysis of glycosylation changes of glycoproteins from crude serum samples using lectin-based glycoprotein capture followed by detection with biotin/HRP-conjugated antibodies. The amount of lectin coated on the microplate well was optimized to achieve low background and improved S/N compared with current lectin ELISA methods. In the presence of competing sugars of lectin AAL or with sialic acid removed from the glycoproteins, we confirmed that this method specifically detects glycosylation changes of proteins rather than protein abundance variation. Using our reverse lectin-based ELISA assay, increased fucosylated haptoglobin was observed in sera of patients with ovarian cancer, while the protein level of haptoglobin remained the same between cancers and noncases. The combination of fucosylated haptoglobin and CA125 (AUC = 0.88) showed improved performance for distinguishing stage-III ovarian cancer from noncases compared with CA125 alone (AUC = 0.86). In differentiating early-stage ovarian cancer from noncases, fucosylated haptoglobin showed comparable performance to CA125. The combination of CA125 and fucosylated haptoglobin resulted in an AUC of 0.855, which outperforms CA125 to distinguish early-stage cancer from noncases. Our study provides an alternative method to quantify glycosylation changes of proteins from serum samples, which will be essential for biomarker discovery and validation studies.

Indexed as

AdolescentAdultAgedAged, 80 and overBiomarkers, TumorEnzyme-Linked Immunosorbent AssayFemaleGlycoproteinsGlycosylationHumansLectinsMiddle AgedOvarian NeoplasmsPolysaccharidesReproducibility of ResultsSensitivity and SpecificityBiomarkers, TumorGlycoproteinsLectinsPolysaccharides

Identifiers

PMID24575722
PMCPMC3993964
OpenAlexW2092276984

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.