Evidence map›Paper›PMID 33877489›Full record

ArticleGlycoconjugate journal2021

Serum N-glycan profiles differ for various breast cancer subtypes.

Gerda C M Vreeker, Kiki M H Vangangelt, Marco R Bladergroen, Simone Nicolardi, Wilma E Mesker, Manfred Wuhrer, Yuri E M van der Burgt, Rob A E M Tollenaar

Abstract read
In one paragraph

Article in Glycoconjugate journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. N-Glycan-Dependent Proinflammatory Effects of IgM in Anti-MAG Neuropathy.Neurology(R) neuroimmunology & neuroinflammation · 2025
    Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. The Human BloodJACS Au · 2024
    Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. High-Throughput Glycomic Methods.Chemical reviews · 2022
    Review
  17. 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

8 authors.

Gerda C M VreekerDepartment of Surgery, Leiden University Medical Center, Leiden, The Netherlands.
Kiki M H VangangeltDepartment of Surgery, Leiden University Medical Center, Leiden, The Netherlands.
Marco R BladergroenCenter for Proteomics and Metabolomics, Leiden University Medical Center, P.O. Box 9600, 2300 RC, Leiden, The Netherlands.
Simone NicolardiDepartment of Surgery, Leiden University Medical Center, Leiden, The Netherlands.
Wilma E MeskerDepartment of Surgery, Leiden University Medical Center, Leiden, The Netherlands.
Manfred WuhrerCenter for Proteomics and Metabolomics, Leiden University Medical Center, P.O. Box 9600, 2300 RC, Leiden, The Netherlands.
Yuri E M van der BurgtCenter for Proteomics and Metabolomics, Leiden University Medical Center, P.O. Box 9600, 2300 RC, Leiden, The Netherlands. y.e.m.van_der_burgt@lumc.nl.ORCID 0000-0003-0556-5564
Rob A E M TollenaarDepartment of Surgery, Leiden University Medical Center, Leiden, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer is the most prevalent cancer in women. Early detection of this disease improves survival and therefore population screenings, based on mammography, are performed. However, the sensitivity of this screening modality is not optimal and new screening methods, such as blood tests, are being explored. Most of the analyses that aim for early detection focus on proteins in the bloodstream. In this study, the biomarker potential of total serum N-glycosylation analysis was explored with regard to detection of breast cancer. In an age-matched case-control setup serum protein N-glycan profiles from 145 breast cancer patients were compared to those from 171 healthy individuals. N-glycans were enzymatically released, chemically derivatized to preserve linkage-specificity of sialic acids and characterized by high resolution mass spectrometry. Logistic regression analysis was used to evaluate associations of specific N-glycan structures as well as N-glycosylation traits with breast cancer. In a case-control comparison three associations were found, namely a lower level of a two triantennary glycans and a higher level of one tetraantennary glycan in cancer patients. Of note, various other N-glycomic signatures that had previously been reported were not replicated in the current cohort. It was further evaluated whether the lack of replication of breast cancer N-glycomic signatures could be partly explained by the heterogenous character of the disease since the studies performed so far were based on cohorts that included diverging subtypes in different numbers. It was found that serum N-glycan profiles differed for the various cancer subtypes that were analyzed in this study.

Indexed as

AgedAged, 80 and overBiomarkers, TumorBreast NeoplasmsCase-Control StudiesFemaleHumansMiddle AgedPolysaccharidesBiomarkers, TumorPolysaccharidesBreast cancerGlycan profilingGlycomicsMass spectrometrySerum protein glycosylationTumor heterogeneity

Identifiers

PMID33877489
PMCPMC8116229

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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.