Evidence map›Paper›PMID 19051138›Full record

ReviewCurrent opinion in molecular therapeutics2008

Protein biomarkers in cancer: natural glycoprotein microarray approaches.

Jia Zhao, Tasneem H Patwa, David M Lubman, Diane M Simeone

Abstract readReview
In one paragraph

Review in Current opinion in molecular therapeutics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

19 citing papers in PubMed, 42 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Targeting Glycoproteins as a therapeutic strategy for diabetes mellitus and its complications.Daru : journal of Faculty of Pharmacy, Tehran University of Medical Sciences · 2020
    Review
  7. Article
  8. Review
  9. RSC advances · 2018
    Article
  10. Review
  11. Lectin microarray technology identifies specific lectins related to lymph node metastasis of advanced gastric cancer.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2016
    Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. 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 2 institutions in 2 countries.

Jia ZhaoUniversity of Michigan Medical Center, Department of Chemistry, Ann Arbor, MI 48109, USA.
Tasneem H Patwa
David M Lubman
Diane M Simeone
Laboratoire d’immunologie intégrative du cancer · FRUniversity of Michigan–Ann Arbor · US

Funding

Microsequencing in an Ion Trap/reTOF DeviceR01GM049500 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LUBMAN, DAVID M. · 1994 to 2016
$3.0M
Protein Microarrays for the Humoral Response in CancerR01CA106402 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LUBMAN, DAVID M. · 2004 to 2008
$1.4M
A Lectin Glycoarray Approach for Markers of Pancreatic CancerR21CA124441 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LUBMAN, DAVID M. · 2007 to 2008
$334k
NCI NIH HHS R01 CA106402NCI NIH HHS R01CA106402NCI NIH HHS R21 CA124441NCI NIH HHS R21CA124441NIGMS NIH HHS R01 GM049500NIGMS NIH HHS R01GM49500
6 · The paper itself

Abstract

Protein glycosylation is the most versatile and common protein modification and plays important roles in various biological processes and disease progression. In this review, the development of microarray technology for protein glycosylation analysis is described. Three types are discussed: carbohydrate, lectin and natural glycoprotein microarrays. The advantages of microarray technology to study protein glycosylation are high-volume throughput coupled with a highly miniaturized platform. These techniques show great promise for detecting interactions that involve carbohydrates and as a screening tool to detect glycan patterns important for the early diagnosis of disease.

Indexed as

AnimalsBiomarkers, TumorGlycoproteinsGlycosylationHumansLectinsModels, BiologicalNeoplasmsProtein Array AnalysisBiomarkers, TumorGlycoproteinsLectins

Identifiers

PMID19051138
PMCPMC2920894
OpenAlexW2346668946

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.