Evidence map›Paper›PMID 22084691›Full record

ArticleInternational journal of proteomics2011

Glycoproteomics-based identification of cancer biomarkers.

Evelyn H Kim, David E Misek

Abstract read
In one paragraph

Article in International journal of proteomics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
–field-weighted citation impact
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

28 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Article
  5. High expression of tissueThe Journal of international medical research · 2021
    Article
  6. Article
  7. Glycosylation Changes in Brain Cancer.ACS chemical neuroscience · 2018
    Review
  8. Article
  9. Article
  10. Chemical Glycoproteomics.Chemical reviews · 2016
    Review
  11. Review
  12. Article
  13. Review
  14. Article
  15. Differential Expression of O-glycoprotein Glycans in Cholangiocarcinoma Cell Lines.Asian Pacific journal of cancer prevention : APJCP · 2016
    Article
  16. Article
  17. Review
  18. Review
  19. Article
  20. 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

2 authors.

Evelyn H KimDepartment of Surgery, University of Michigan Medical School, Ann Arbor, MI 48109, USA.
David E Misek

Funding

Distinctive Glycan Fingerprints of Pancreatic Cancer for Plasma DetectionR01CA140211 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MISEK, DAVID E · 2009 to 2013
$1.6M
NCI NIH HHS R01 CA140211
6 · The paper itself

Abstract

Protein glycosylation is one of the most common posttranslational modifications in mammalian cells. It is involved in many biological pathways and molecular functions and is well suited for proteomics-based disease investigations. Aberrant protein glycosylation may be associated with disease processes. Specific glycoforms of glycoproteins may serve as potential biomarkers for the early detection of disease or as biomarkers for the evaluation of therapeutic efficacy for treatment of cancer, diabetes, and other diseases. Recent technological developments, including lectin affinity chromatography and mass spectrometry, have provided researchers the ability to obtain detailed information concerning protein glycosylation. These in-depth investigations, including profiling and quantifying glycoprotein expression, as well as comprehensive glycan structural analyses may provide important information leading to the development of disease-related biomarkers. This paper describes methodologies for the detection of cancer-related glycoprotein and glycan structural alterations and briefly summarizes several current cancer-related findings.

Identifiers

PMID22084691
PMCPMC3195811

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.