Evidence map›Paper›PMID 23399550›Full record

ReviewMolecular & cellular proteomics : MCP2013

Glycoprotein disease markers and single protein-omics.

Kevin Chandler, Radoslav Goldman

Abstract readReview
In one paragraph

Review in Molecular & cellular proteomics : MCP, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. [Advances in salivary protein glycosylation and its relationship with systemic and oral diseases].Hua xi kou qiang yi xue za zhi = Huaxi kouqiang yixue zazhi = West China journal of stomatology · 2018
    Review
  13. Article
  14. Lectins, Interconnecting Proteins with Biotechnological/Pharmacological and Therapeutic Applications.Evidence-based complementary and alternative medicine : eCAM · 2017
    Review
  15. Article
  16. Article
  17. Article
  18. Review
  19. Review
  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.

Kevin ChandlerDepartment of Biochemistry and Molecular and Cellular Biology, Georgetown University, Washington, DC 20057, USA.
Radoslav Goldman

Funding

Glycans in Hepatocellular CarcinomaR01CA135069 · NCI · GEORGETOWN UNIVERSITY · PI GOLDMAN, RADOSLAV · 2009 to 2019
$4.1M
Alliance of Glycobiologists for Detection of CancerU01CA168926 · NCI · GEORGETOWN UNIVERSITY · PI GOLDMAN, RADOSLAV · 2012 to 2016
$2.0M
Basic Cancer Research in Cancer Health DisparitiesU01CA171146 · NCI · GEORGETOWN UNIVERSITY · PI GOLDMAN, RADOSLAV · 2012 to 2016
$1.5M
NCI NIH HHS CA135069NCI NIH HHS R01 CA135069NCI NIH HHS U01 CA168926NCI NIH HHS U01 CA168926RO1NCI NIH HHS U01 CA171146
6 · The paper itself

Abstract

Glycoproteins are well represented among biomarkers for inflammatory and cancer diseases. Secreted and membrane-associated glycoproteins make excellent targets for noninvasive detection. In this review, we discuss clinically applicable markers of cancer diseases and methods for their analysis. High throughput discovery continues to supply marker candidates with unusual glycan structures, altered glycoprotein abundance, or distribution of site-specific glycoforms. Improved analytical methods are needed to unlock the potential of these discoveries in validated clinical assays. A new generation of targeted quantitative assays is expected to advance the use of glycoproteins in early detection of diseases, molecular disease classification, and monitoring of therapeutic interventions.

Indexed as

Protein Processing, Post-TranslationalAntigens, Tumor-Associated, CarbohydrateCarbohydrate ConformationCarbohydrate SequenceGlycoproteinsGlycosylationHumansMolecular Sequence DataNeoplasmsProteomicsAntigens, Tumor-Associated, CarbohydrateGlycoproteins

Identifiers

PMID23399550
PMCPMC3617330

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.