Evidence map›Paper›PMID 24303806›Full record

ArticleJournal of proteome research2014

Characterization of glycoproteins in pancreatic cyst fluid using a high-performance multiple lectin affinity chromatography platform.

Francisca Owusu Gbormittah, Brian B Haab, Katie Partyka, Carolina Garcia-Ott, Marina Hancapie, William S Hancock

Open access · greenAbstract 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 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

18 citing papers in PubMed, 32 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Observational
  5. Review
  6. Article
  7. Molecular Diagnosis of Cystic Neoplasms of the Pancreas: a Review.Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract · 2020
    Review
  8. Article
  9. A critical review of the role of MBiochimica et biophysica acta. Reviews on cancer · 2019
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Systematic Review of Pancreatic Cyst Fluid Biomarkers: The Path Forward.Clinical and translational gastroenterology · 2015
    Article
  15. Article
  16. Review
  17. Article
  18. 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

6 authors at 2 institutions in 1 country.

Francisca Owusu GbormittahBarnett Institute and Department of Chemistry and Chemical Biology, Northeastern University , 360 Huntington Avenue, Boston, Massachusetts 02115, United States.
Brian B Haab
Katie Partyka
Carolina Garcia-Ott
Marina Hancapie
William S Hancock
Northeastern University · USVan Andel Institute · US

Funding

Detection of Pre-Invasive Pancreatic Cysts Using Protein and Glycan BiomarkersU01CA152653 · NCI · VAN ANDEL RESEARCH INSTITUTE · PI ALLEN, PETER J, BRAND, RANDALL · 2010 to 2021
$5.8M
NCI NIH HHS 1U01CA152653-01NCI NIH HHS U01 CA152653
6 · The paper itself

Abstract

Currently, pancreatic cancer is the fourth cause of cancer death. In 2013, it is estimated that ∼38 460 people will die of pancreatic cancer. Early detection of malignant cyst (pancreatic cancer precursor) is necessary to help prevent late diagnosis of the tumor. In this study, we characterized glycoproteins and nonglycoproteins on pooled mucinous (n = 10) and nonmucinous (n = 10) pancreatic cyst fluid to identify "proteins of interest" to differentiate between mucinous cyst from nonmucinous cyst and investigate these proteins as potential biomarker targets. An automated multilectin affinity chromatography (M-LAC) platform was utilized for glycoprotein enrichment followed by nano-LC-MS/MS analysis. Spectral count quantitation allowed for the identification of proteins with significant differential levels in mucinous cysts from nonmucinous cysts of which one protein (periostin) was confirmed via immunoblotting. To exhaustively evaluate differentially expressed proteins, we used a number of proteomic tools including gene ontology classification, pathway and network analysis, Novoseek data mining, and chromosome gene mapping. Utilization of complementary proteomic tools revealed that several of the proteins such as mucin 6 (MUC6), bile salt-activated lipase (CEL), and pyruvate kinase lysozyme M1/M2 with significant differential expression have strong association with pancreatic cancer. Furthermore, chromosome gene mapping demonstrated coexpressions and colocalization of some proteins of interest including 14-3-3 protein epsilon (YWHAE), pigment epithelium derived factor (SERPINF1), and oncogene p53.

Indexed as

Chromatography, AffinityElectrophoresis, Polyacrylamide GelGlycoproteinsHumansLectinsMass SpectrometryPancreatic CystGlycoproteinsLectins

Identifiers

PMID24303806
PMCPMC4142219
OpenAlexW2327128742

What OpenQuestion holds

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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.