Evidence map›Paper›PMID 35156159›Full record

ReviewGlycoconjugate journal2022

Glycosylation in cancer: its application as a biomarker and recent advances of analytical techniques.

Yoshimi Haga, Koji Ueda

Abstract readReview
PubMed Publisher
In one paragraph

Review in Glycoconjugate journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.9field-weighted citation impact, top 8% 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

14 citing papers in PubMed, 36 citations in OpenAlex.

  1. Article
  2. DPAGT1-Perspective as an Anticancer Drug Target.Molecules (Basel, Switzerland) · 2025
    Review
  3. Article
  4. Article
  5. αDiagnostics (Basel, Switzerland) · 2024
    Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. 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

2 authors at 1 institution in 1 country.

Yoshimi HagaCancer Proteomics Group, Cancer Precision Medicine Center, Japanese Foundation for Cancer Research, Tokyo, 135-8550, Japan. yoshimi.haga@jfcr.or.jp.ORCID 0000-0001-7861-617X
Koji UedaCancer Proteomics Group, Cancer Precision Medicine Center, Japanese Foundation for Cancer Research, Tokyo, 135-8550, Japan.ORCID 0000-0001-9066-4959
Japanese Foundation For Cancer Research · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite significant worldwide investment in research, cancer remains one of the most common cause of death in the world. Early detection and reliable diagnosis are the keys to effectively treating cancer and improving the long-term survival of cancer patients. Therefore, there is an urgent need to develop a single, non-invasive biomarker with high sensitivity and specificity. Aberrant glycosylation is well defined as a hallmark of cancer and represents a promising source of potential biomarkers. Tumor-associated carbohydrate epitopes have long been detected by using monoclonal antibodies and lectins. Recent advances in analytical technologies allow us to analyze cancer-specific glycoforms on a target protein in a variety of clinical samples. A number of glycan analysis techniques, such as lectin-based detection methods and mass spectrometry combined with various types of chromatography, have been developed to establish novel glycoform-specific cancer biomarkers. Several glycan-based cancer biomarkers are already in clinical use. The aim of this review is to outline the role of glycan as a cancer biomarker and to summarize the current status and the potential for contribution of the serum glycoproteome to cancer diagnostics, monitoring, and prognostics.

Indexed as

NeoplasmsBiomarkers, TumorGlycosylationHumansLectinsPolysaccharidesBiomarkers, TumorLectinsPolysaccharidesBiomarkerCancerCarbohydrate epitopeGlycosylationMass spectrometry

Identifiers

PMID35156159
OpenAlexW4213158249

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.