Evidence map›Paper›PMID 27721658›Full record

ReviewBiomarkers in cancer2016

Selecting Targets for Tumor Imaging: An Overview of Cancer-Associated Membrane Proteins.

Martin C Boonstra, Susanna W L de Geus, Hendrica A J M Prevoo, Lukas J A C Hawinkels, Cornelis J H van de Velde, Peter J K Kuppen, Alexander L Vahrmeijer, Cornelis F M Sier

Abstract readReview
In one paragraph

Review in Biomarkers in cancer, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed, 1 pooled it
–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

57 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

8 authors.

Martin C BoonstraDepartment of Surgery, Leiden University Medical Center, Leiden, the Netherlands.
Susanna W L de GeusDepartment of Surgery, Leiden University Medical Center, Leiden, the Netherlands.
Hendrica A J M PrevooDepartment of Surgery, Leiden University Medical Center, Leiden, the Netherlands.
Lukas J A C HawinkelsDepartment of Gastroenterology, Leiden University Medical Center, Leiden, the Netherlands.
Cornelis J H van de VeldeDepartment of Surgery, Leiden University Medical Center, Leiden, the Netherlands.
Peter J K KuppenDepartment of Surgery, Leiden University Medical Center, Leiden, the Netherlands.; Antibodies for Research Applications BV, Gouda, the Netherlands.
Alexander L VahrmeijerDepartment of Surgery, Leiden University Medical Center, Leiden, the Netherlands.
Cornelis F M SierDepartment of Surgery, Leiden University Medical Center, Leiden, the Netherlands.; Antibodies for Research Applications BV, Gouda, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tumor targeting is a booming business: The global therapeutic monoclonal antibody market accounted for more than $78 billion in 2012 and is expanding exponentially. Tumors can be targeted with an extensive arsenal of monoclonal antibodies, ligand proteins, peptides, RNAs, and small molecules. In addition to therapeutic targeting, some of these compounds can also be applied for tumor visualization before or during surgery, after conjugation with radionuclides and/or near-infrared fluorescent dyes. The majority of these tumor-targeting compounds are directed against cell membrane-bound proteins. Various categories of targetable membrane-bound proteins, such as anchoring proteins, receptors, enzymes, and transporter proteins, exist. The functions and biological characteristics of these proteins determine their location and distribution on the cell membrane, making them more, or less, accessible, and therefore, it is important to understand these features. In this review, we evaluate the characteristics of cancer-associated membrane proteins and discuss their overall usability for cancer targeting, especially focusing on imaging applications.

Indexed as

adhesion proteinbiomarkercancer imagingGPI anchorreceptortransmembrane

Identifiers

PMID27721658
PMCPMC5040425

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.