Evidence map›Paper›PMID 34956866›Full record

ArticleFrontiers in oncology2021

Identification of Whole-Serum Glycobiomarkers for Colorectal Carcinoma Using Reverse-Phase Lectin Microarray.

Tomas Bertok, Aniko Bertokova, Eduard Jane, Michal Hires, Juvissan Aguedo, Maria Potocarova, Ludovit Lukac, Alica Vikartovska, Peter Kasak, Lubor Borsig and 1 more

Abstract read
In one paragraph

Article in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Article
  6. The Role of Clinical Glyco(proteo)mics in Precision Medicine.Molecular & cellular proteomics : MCP · 2023
    Article
  7. SerumBiomolecules · 2023
    Article
  8. Review
  9. 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

11 authors.

Tomas BertokInstitute of Chemistry, Slovak Academy of Sciences, Bratislava, Slovakia.
Aniko BertokovaInstitute of Chemistry, Slovak Academy of Sciences, Bratislava, Slovakia.
Eduard JaneInstitute of Chemistry, Slovak Academy of Sciences, Bratislava, Slovakia.
Michal HiresInstitute of Chemistry, Slovak Academy of Sciences, Bratislava, Slovakia.
Juvissan AguedoInstitute of Chemistry, Slovak Academy of Sciences, Bratislava, Slovakia.
Maria PotocarovaUniversity Hospital Bratislava, Bratislava, Slovakia.
Ludovit LukacUniversity Hospital Bratislava, Bratislava, Slovakia.
Alica VikartovskaInstitute of Chemistry, Slovak Academy of Sciences, Bratislava, Slovakia.
Peter KasakCenter for Advanced Materials, Qatar University, Doha, Qatar.
Lubor BorsigDepartment of Physiology, University of Zurich, Zurich, Switzerland.
Jan TkacInstitute of Chemistry, Slovak Academy of Sciences, Bratislava, Slovakia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colorectal cancer (CRC) is one of the most common types of cancer among men and women worldwide. Efforts are currently underway to find novel and more cancer-specific biomarkers that could be detected in a non-invasive way. The analysis of aberrant glycosylation of serum glycoproteins is a way to discover novel diagnostic and prognostic CRC biomarkers. The present study investigated a whole-serum glycome with a panel of 16 different lectins in search for age-independent and CRC-specific glycomarkers using receiver operating characteristic (ROC) curve analyses and glycan heat matrices. Glycosylation changes present in the whole serum were identified, which could lead to the discovery of novel biomarkers for CRC diagnostics. In particular, the change in the bisecting glycans (recognized by

Indexed as

biomarkercolorectal cancerglycosylationlectinmicroarray

Identifiers

PMID34956866
PMCPMC8695905

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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.