Evidence map›Paper›PMID 22318369›Full record

ArticleMolecular & cellular proteomics : MCP2012

Altered expression of sialylated glycoproteins in breast cancer using hydrazide chemistry and mass spectrometry.

Yuan Tian, Francisco J Esteva, Jin Song, Hui Zhang

Open access · hybridAbstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
4.8field-weighted citation impact, top 4% 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

34 citing papers in PubMed, 65 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Glycosylation and its implications in breast cancer.Expert review of proteomics · 2019
    Review
  9. Clinical proteomics · 2019
    Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Sialylation: an Avenue to Target Cancer Cells.Pathology oncology research : POR · 2016
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
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

4 authors at 3 institutions in 2 countries.

Yuan TianDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland 21231, USA.
Francisco J Esteva
Jin Song
Hui Zhang
Johns Hopkins University · USBreast Cancer Care · GBJohns Hopkins Medicine · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
Proteome Characterization Center: A Genoproteomics Pipeline for Cance ResearchU24CA160036 · NCI · JOHNS HOPKINS UNIVERSITY · PI CHAN, DANIEL WANYUI, ZHANG, HUI · 2011 to 2016
$10.7M
Glycoprotein biomarkers for the early detection of aggressive prostate cancerU01CA152813 · NCI · JOHNS HOPKINS UNIVERSITY · PI ZHANG, HUI · 2010 to 2021
$6.2M
Probing the Connections between Monosaccharide Analogs, Sialic Acid Metabolism, aR01CA112314 · NCI · JOHNS HOPKINS UNIVERSITY · PI YAREMA, KEVIN J · 2005 to 2022
$4.5M
NCI NIH HHS 2R01CA112314NCI NIH HHS CA16672NCI NIH HHS P30 CA016672NCI NIH HHS R01 CA112314NCI NIH HHS U01 CA152813NCI NIH HHS U01CA152813NCI NIH HHS U24 CA160036NCI NIH HHS U24CA160036NHLBI NIH HHS P01HL10715
6 · The paper itself

Abstract

Sialylation is one of the altered protein glycosylations associated with cancer development. The sialoglycoproteins in cancer cells, however, largely remain unidentified because of the lack of a method for quantitative analysis of sialoglycoproteins. This manuscript presents a high throughput method for quantitative analysis of N-linked sialoglycoproteins using conditional hydrazide chemistry, liquid chromatography, and tandem mass spectrometry. We further applied the sialoglycoproteomic method to the profiling of breast cancer tissues and compared findings with the results from the total glycoproteomic analysis using the original hydrazide chemistry method. We identified altered expression of sialoglycoproteins, as well as the total glycoprotein changes associated with breast cancer. Using lectin and Western blot analysis, we characterized one of the sialoglycoproteins, versican, and confirmed that versican was most sialylated and elevated in breast cancer. Furthermore, we showed that versican was detected in both cancer epithelial cells and peritumoral stromal cells using immunohistochemistry. Tissue microarray analysis revealed that epithelial expression of versican had significant relations to lymph node metastasis and pathological stages. This is the first quantitative sialoglycoproteomic and glycoproteomic analysis of breast cancer and noncancerous tissues. These findings present a significant addition of the method to the identification of altered expression of sialylated glycoproteins associated with breast cancer development.

Indexed as

Amino Acid SequenceBreast NeoplasmsChromatography, AffinityFemaleGene ExpressionGlycoproteinsHumansHydrazinesLymphatic MetastasisMolecular Sequence DataN-Acetylneuraminic AcidOrosomucoidPeptide FragmentsProteomicsSolid Phase ExtractionTandem Mass SpectrometryGlycoproteinsHydrazinesN-Acetylneuraminic AcidOrosomucoidPeptide FragmentsVCAN protein, humanVersicans

Identifiers

PMID22318369
PMCPMC3433893
OpenAlexW2119115799

What OpenQuestion holds

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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.