Evidence map›Paper›PMID 33371487›Full record

ReviewCancers2020

Targeting Glycans and Heavily Glycosylated Proteins for Tumor Imaging.

Ruben D Houvast, Mireille Vankemmelbeke, Lindy G Durrant, Manfred Wuhrer, Victor M Baart, Peter J K Kuppen, Lioe-Fee de Geus-Oei, Alexander L Vahrmeijer, Cornelis F M Sier

Open access · goldAbstract readReview
In one paragraph

Review in Cancers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

11 citing papers in PubMed, 18 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Article
  5. The Role of Clinical Glyco(proteo)mics in Precision Medicine.Molecular & cellular proteomics : MCP · 2023
    Article
  6. SerumBiomolecules · 2023
    Article
  7. Article
  8. Specific (sialyl-)Lewis core 2Theranostics · 2022
    Article
  9. Review
  10. Article
  11. 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

9 authors at 2 institutions in 2 countries.

Ruben D HouvastDepartment of Surgery, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands.ORCID 0000-0002-8813-0330
Mireille VankemmelbekeScancell Limited, University of Nottingham Biodiscovery Institute, University Park, Nottingham NG7 2RD, UK.
Lindy G DurrantScancell Limited, University of Nottingham Biodiscovery Institute, University Park, Nottingham NG7 2RD, UK.
Manfred WuhrerCenter for Proteomics and Metabolomics, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands.ORCID 0000-0002-0814-4995
Victor M BaartDepartment of Surgery, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands.
Peter J K KuppenDepartment of Surgery, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands.ORCID 0000-0002-0294-3251
Lioe-Fee de Geus-OeiDepartment of Radiology, Section of Nuclear Medicine, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands.
Alexander L VahrmeijerDepartment of Surgery, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands.
Cornelis F M SierDepartment of Surgery, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands.ORCID 0000-0002-4337-2758
Leiden University Medical Center · NLUniversity of Nottingham · GB

Funding

Medical Research Council MR/M015564/1
6 · The paper itself

Abstract

Real-time tumor imaging techniques are increasingly used in oncological surgery, but still need to be supplemented with novel targeted tracers, providing specific tumor tissue detection based on intra-tumoral processes or protein expression. To maximize tumor/non-tumor contrast, targets should be highly and homogenously expressed on tumor tissue only, preferably from the earliest developmental stage onward. Unfortunately, most evaluated tumor-associated proteins appear not to meet all of these criteria. Thus, the quest for ideal targets continues. Aberrant glycosylation of proteins and lipids is a fundamental hallmark of almost all cancer types and contributes to tumor progression. Additionally, overexpression of glycoproteins that carry aberrant glycans, such as mucins and proteoglycans, is observed. Selected tumor-associated glyco-antigens are abundantly expressed and could, thus, be ideal candidates for targeted tumor imaging. Nevertheless, glycan-based tumor imaging is still in its infancy. In this review, we highlight the potential of glycans, and heavily glycosylated proteoglycans and mucins as targets for multimodal tumor imaging by discussing the preclinical and clinical accomplishments within this field. Additionally, we describe the major advantages and limitations of targeting glycans compared to cancer-associated proteins. Lastly, by providing a brief overview of the most attractive tumor-associated glycans and glycosylated proteins in association with their respective tumor types, we set out the way for implementing glycan-based imaging in a clinical practice.

Indexed as

aberrant glycosylationbiomarkerscancercarbohydratesgangliosidesmolecular imagingmucinsproteoglycans

Identifiers

PMID33371487
PMCPMC7767531
OpenAlexW3113653080

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.