Evidence map›Paper›PMID 26509158›Full record

ReviewBioMed research international2015

Glycosylation-Based Serum Biomarkers for Cancer Diagnostics and Prognostics.

Alan Kirwan, Marta Utratna, Michael E O'Dwyer, Lokesh Joshi, Michelle Kilcoyne

Abstract readReview
In one paragraph

Review in BioMed research international, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 110 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
110citing papers in PubMed, 1 pooled it
–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

110 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Biomaterials for biomarker imaging and detection.Journal of advanced research · 2026
    Review
  6. Article
  7. Gangliosides in molecular interactions and cell regulation.The Journal of biological chemistry · 2026
    Review
  8. Review
  9. Review
  10. Altered Cell SurfaceJournal of proteome research · 2025
    Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Integrating the analysis of human biopsies using post-translational modifications proteomics.Protein science : a publication of the Protein Society · 2024
    Review
  18. Review
  19. Article
  20. Article

50 more citing papers are in PubMed but not listed here.

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

5 authors.

Alan KirwanGlycoscience Group, National Centre for Biomedical Engineering Science, National University of Ireland Galway, Galway, Ireland.
Marta UtratnaGlycoscience Group, National Centre for Biomedical Engineering Science, National University of Ireland Galway, Galway, Ireland.
Michael E O'DwyerDepartment of Hematology, National University of Ireland Galway, Galway, Ireland.
Lokesh JoshiGlycoscience Group, National Centre for Biomedical Engineering Science, National University of Ireland Galway, Galway, Ireland.
Michelle KilcoyneGlycoscience Group, National Centre for Biomedical Engineering Science, National University of Ireland Galway, Galway, Ireland ; Carbohydrate Signalling Group, Microbiology, School of Natural Sciences, National University of Ireland Galway, Galway, Ireland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer is the second most common cause of death in developed countries with approximately 14 million newly diagnosed individuals and over 6 million cancer-related deaths in 2012. Many cancers are discovered at a more advanced stage but better survival rates are correlated with earlier detection. Current clinically approved cancer biomarkers are most effective when applied to patients with widespread cancer. Single biomarkers with satisfactory sensitivity and specificity have not been identified for the most common cancers and some biomarkers are ineffective for the detection of early stage cancers. Thus, novel biomarkers with better diagnostic and prognostic performance are required. Aberrant protein glycosylation is well known hallmark of cancer and represents a promising source of potential biomarkers. Glycoproteins enter circulation from tissues or blood cells through active secretion or leakage and patient serum is an attractive option as a source for biomarkers from a clinical and diagnostic perspective. A plethora of technical approaches have been developed to address the challenges of glycosylation structure detection and determination. This review summarises currently utilised glycoprotein biomarkers and novel glycosylation-based biomarkers from the serum glycoproteome under investigation as cancer diagnostics and for monitoring and prognostics and includes details of recent high throughput and other emerging glycoanalytical techniques.

Indexed as

Adipokinesalpha 1-Antitrypsinalpha-FetoproteinsBiomarkers, TumorCA-125 AntigenCA-19-9 AntigenCarcinoembryonic AntigenChitinase-3-Like Protein 1Chorionic GonadotropinEarly Detection of CancerErb-b2 Receptor Tyrosine KinasesGlobal HealthGlycoproteinsGlycosylationHaptoglobinsHumansAdipokinesAFP protein, humanalpha 1-Antitrypsinalpha-FetoproteinsBiomarkers, TumorCA-125 AntigenCA-19-9 AntigenCarcinoembryonic AntigenCHI3L1 protein, humanChitinase-3-Like Protein 1Chorionic GonadotropinERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesGlycoproteinsHaptoglobinsHP protein, humanKallikreinsKLK3 protein, humanLectinsMembrane ProteinsMUC16 protein, humanMUC1 protein, humanMucin-1Prostate-Specific AntigenProteinsProteomeSERPINA1 protein, humanThyroglobulinWAP Four-Disulfide Core Domain Protein 2WFDC2 protein, human

Identifiers

PMID26509158
PMCPMC4609776

What OpenQuestion holds

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LicenceCC BY
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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.