Evidence map›Paper›PMID 29398707›Full record

ReviewNature reviews. Immunology2018

The tumour glyco-code as a novel immune checkpoint for immunotherapy.

Ernesto RodrÍguez, Sjoerd T T Schetters, Yvette van Kooyk

Open access · greenAbstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Immunology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 277 papers.

0numbers the graph read from it
0cells of the map it votes in
277citing papers in PubMed
15.7field-weighted citation impact, top 1% 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

277 citing papers in PubMed, 457 citations in OpenAlex.

  1. Review
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  11. Pharmaceuticals (Basel, Switzerland) · 2026
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  16. High-Penetrance Rare Variants Underlying Familial Lung Cancer Risk: Insights From Genetic Epidemiology of Lung Cancer Consortium.Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer · 2026
    Article
  17. Article
  18. Article
  19. Review
  20. Review

217 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

3 authors at 1 institution in 1 country.

Ernesto RodrÍguezDepartment of Molecular Cell Biology and Immunology, VU University Medical Center, Amsterdam, Netherlands.
Sjoerd T T SchettersDepartment of Molecular Cell Biology and Immunology, VU University Medical Center, Amsterdam, Netherlands.
Yvette van KooykDepartment of Molecular Cell Biology and Immunology, VU University Medical Center, Amsterdam, Netherlands.
Amsterdam UMC Location VUmc · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tumour growth is accompanied by tumour evasion of the immune system, a process that is facilitated by immune checkpoint molecules such as programmed cell death protein 1 (PD1). However, the role of tumour glycosylation in immune evasion has mostly been overlooked, despite the fact that aberrant tumour glycosylation alters how the immune system perceives the tumour and can also induce immunosuppressive signalling through glycan-binding receptors. As such, specific glycan signatures found on tumour cells can be considered as a novel type of immune checkpoint. In parallel, glycosylation of tumour proteins generates neo-antigens that can serve as targets for tumour-specific T cells. In this Opinion article, we highlight how the tumour 'glyco-code' modifies immunity and suggest that targeting glycans could offer new therapeutic opportunities.

Indexed as

GlycosylationHumansImmunotherapyLectinsNeoplasm ProteinsNeoplasmsPolysaccharidesProgrammed Cell Death 1 ReceptorT-LymphocytesTumor EscapeTumor MicroenvironmentLectinsNeoplasm ProteinsPDCD1 protein, humanPolysaccharidesProgrammed Cell Death 1 Receptor

Identifiers

PMID29398707
OpenAlexW2787237920

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.