Evidence map›Paper›PMID 25487607›Full record

ReviewCellular and molecular life sciences : CMLS2015

Cancer intelligence acquired (CIA): tumor glycosylation and sialylation codes dismantling antitumor defense.

Kayluz Frias Boligan, Circe Mesa, Luis Enrique Fernandez, Stephan von Gunten

Open access · bronzeAbstract readReview
In one paragraph

Review in Cellular and molecular life sciences : CMLS, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed
3.1field-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

59 citing papers in PubMed, 110 citations in OpenAlex.

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  13. Unraveling the impact of a glyco-immune checkpoint in bone metastasis.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
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  17. Enhanced Detection of ChargedAnalytical chemistry · 2023
    Article
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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.

Kayluz Frias BoliganInstitute of Pharmacology, University of Bern, Friedbühlstrasse 49, 3010, Bern, Switzerland, kayluz.frias@pki.unibe.ch.
Circe Mesa
Luis Enrique Fernandez
Stephan von Gunten
Center of Molecular Immunology (Cuba) · CUUniversity of Bern · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aberrant glycosylation is a key feature of malignant transformation and reflects epigenetic and genetic anomalies among the multitude of molecules involved in glycan biosynthesis. Although glycan biosynthesis is not template bound, altered tumor glycosylation is not random, but associated with common glycosylation patterns. Evidence suggests that acquisition of distinct glycosylation patterns evolves from a 'microevolutionary' process conferring advantages in terms of tumor growth, tumor dissemination, and immune escape. Such glycosylation modifications also involve xeno- and hypersialylation. Xeno-autoantigens such as Neu5Gc-gangliosides provide potential targets for immunotherapy. Hypersialylation may display 'enhanced self' to escape immunosurveillance and involves several not mutually exclusive inhibitory pathways that all rely on protein-glycan interactions. A better understanding of tumor 'glycan codes' as deciphered by lectins, such as siglecs, selectins, C-type lectins and galectins, may lead to novel treatment strategies, not only in cancer, but also in autoimmune disease or transplantation.

Indexed as

Models, BiologicalGlycosylationHumansLectins, C-TypeN-Acetylneuraminic AcidNeoplasmsPolysaccharidesSelectinsSialic Acid Binding Immunoglobulin-like LectinsLectins, C-TypeN-Acetylneuraminic AcidPolysaccharidesSelectinsSialic Acid Binding Immunoglobulin-like Lectins

Identifiers

PMID25487607
PMCPMC11113383
OpenAlexW2058536724

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.