Evidence map›Paper›PMID 25732060›Full record

ArticleJournal of proteome research2015

Large-scale identification of core-fucosylated glycopeptide sites in pancreatic cancer serum using mass spectrometry.

Zhijing Tan, Haidi Yin, Song Nie, Zhenxin Lin, Jianhui Zhu, Mack T Ruffin, Michelle A Anderson, Diane M Simeone, David M Lubman

Open access · greenAbstract read
In one paragraph

Article in Journal of proteome research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 1 pooled it
5.6field-weighted citation impact, top 3% 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

47 citing papers in PubMed, 1 synthesis or guideline pooled it, 78 citations in OpenAlex.

  1. Pooled it
  2. Review
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  7. The role ofActa pharmaceutica Sinica. B · 2024
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  16. Clinically Viable Assay for Monitoring Uromodulin Glycosylation.Journal of the American Society for Mass Spectrometry · 2021
    Article
  17. 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

9 authors at 1 institution in 1 country.

Zhijing Tan†Department of Surgery, The University of Michigan, Ann Arbor, Michigan 48109, United States.
Haidi Yin†Department of Surgery, The University of Michigan, Ann Arbor, Michigan 48109, United States.
Song Nie†Department of Surgery, The University of Michigan, Ann Arbor, Michigan 48109, United States.
Zhenxin Lin†Department of Surgery, The University of Michigan, Ann Arbor, Michigan 48109, United States.
Jianhui Zhu†Department of Surgery, The University of Michigan, Ann Arbor, Michigan 48109, United States.
Mack T Ruffin
Michelle A Anderson
Diane M Simeone†Department of Surgery, The University of Michigan, Ann Arbor, Michigan 48109, United States.
David M Lubman†Department of Surgery, The University of Michigan, Ann Arbor, Michigan 48109, United States.
University of Michigan–Ann Arbor · US

Funding

University of Michigan Center for Gastrointestinal ResearchP30DK034933 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI OMARY, BISHR · 1986 to 2021
$22.5M
Translational Research in GI CancerP50CA130810 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BRENNER, DEAN E. · 2010 to 2016
$11.8M
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
Microsequencing in an Ion Trap/reTOF DeviceR01GM049500 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LUBMAN, DAVID M. · 1994 to 2016
$3.0M
Serum glycoprotein markers of cancer using an ion mobility/mass spec approachR01CA154455 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LUBMAN, DAVID M. · 2011 to 2013
$921k
NCI NIH HHS 1 P50CA130810NCI NIH HHS 1R01 CA154455NCI NIH HHS 1R01 CA160254NCI NIH HHS P50 CA130810NCI NIH HHS R01 CA154455NCI NIH HHS R01 CA160254NIDDK NIH HHS P30 DK034933NIGMS NIH HHS R01 GM049500NIGMS NIH HHS R01 GM 49500
6 · The paper itself

Abstract

Glycosylation has significant effects on protein function and cell metastasis, which are important in cancer progression. It is of great interest to identify site-specific glycosylation in search of potential cancer biomarkers. However, the abundance of glycopeptides is low compared to that of nonglycopeptides after trypsin digestion of serum samples, and the mass spectrometric signals of glycopeptides are often masked by coeluting nonglycopeptides due to low ionization efficiency. Selective enrichment of glycopeptides from complex serum samples is essential for mass spectrometry (MS)-based analysis. Herein, a strategy has been optimized using LCA enrichment to improve the identification of core-fucosylation (CF) sites in serum of pancreatic cancer patients. The optimized strategy was then applied to analyze CF glycopeptide sites in 13 sets of serum samples from pancreatic cancer, chronic pancreatitis, healthy controls, and a standard reference. In total, 630 core-fucosylation sites were identified from 322 CF proteins in pancreatic cancer patient serum using an Orbitrap Elite mass spectrometer. Further data analysis revealed that 8 CF peptides exhibited a significant difference between pancreatic cancer and other controls, which may be potential diagnostic biomarkers for pancreatic cancer.

Indexed as

Analysis of VarianceBiomarkers, TumorChromatography, LiquidFucoseGlycopeptidesHumansMass SpectrometryPancreatic NeoplasmsPlant LectinsTandem Mass SpectrometryTrypsinBiomarkers, TumorFucoseGlycopeptideslentil lectinPlant LectinsTrypsincore fucosylationglycoproteomicsiTRAQlectinPancreatic cancerserum

Identifiers

PMID25732060
PMCPMC4410993
OpenAlexW2332971835

What OpenQuestion holds

Textmetadata
LicenceTDM
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.