Evidence map›Paper›PMID 36430166›Full record

ArticleInternational journal of molecular sciences2022

Nanobodies for the Early Detection of Ovarian Cancer.

Lan-Huong Tran, Geert-Jan Graulus, Cécile Vincke, Natalia Smiejkowska, Anne Kindt, Nick Devoogdt, Serge Muyldermans, Peter Adriaensens, Wanda Guedens

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

5 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
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 3 institutions in 1 country.

Lan-Huong TranBiomolecule Design Group, Institute for Materials Research (IMO-IMOMEC), Hasselt University, Agoralaan-Building D, BE-3590 Diepenbeek, Belgium.ORCID 0000-0002-8450-3793
Geert-Jan GraulusBiomolecule Design Group, Institute for Materials Research (IMO-IMOMEC), Hasselt University, Agoralaan-Building D, BE-3590 Diepenbeek, Belgium.ORCID 0000-0001-5445-3396
Cécile VinckeLaboratory of Cellular and Molecular Immunology, Vrije Universiteit Brussel, Pleinlaan 2, BE-1050 Brussels, Belgium.ORCID 0000-0003-0681-7444
Natalia SmiejkowskaLaboratory of Medical Biochemistry, University of Antwerp, Prinsstraat 13, BE-2000 Antwerpen, Belgium.
Anne KindtLaboratory of Cellular and Molecular Immunology, Vrije Universiteit Brussel, Pleinlaan 2, BE-1050 Brussels, Belgium.
Nick DevoogdtIn Vivo Cellular and Molecular Imaging Laboratory (ICMI), Vrije Universiteit Brussel, Pleinlaan 2, BE-1050 Brussels, Belgium.ORCID 0000-0001-9220-4833
Serge MuyldermansLaboratory of Cellular and Molecular Immunology, Vrije Universiteit Brussel, Pleinlaan 2, BE-1050 Brussels, Belgium.ORCID 0000-0002-3678-3575
Peter AdriaensensBiomolecule Design Group, Institute for Materials Research (IMO-IMOMEC), Hasselt University, Agoralaan-Building D, BE-3590 Diepenbeek, Belgium.ORCID 0000-0003-4183-0150
Wanda GuedensBiomolecule Design Group, Institute for Materials Research (IMO-IMOMEC), Hasselt University, Agoralaan-Building D, BE-3590 Diepenbeek, Belgium.ORCID 0000-0001-8709-9856
Hasselt University · BEVrije Universiteit Brussel · BEUniversity of Antwerp · BE

Funding

Hasselt University G.0581.12NResearch Foundation - Flanders Hercules project AUHL/15/2-GOH3816N
6 · The paper itself

Abstract

Ovarian cancer ranks fifth in cancer-related deaths among women. Since ovarian cancer patients are often asymptomatic, most patients are diagnosed only at an advanced stage of disease. This results in a 5-year survival rate below 50%, which is in strong contrast to a survival rate as high as 94% if detected and treated at an early stage. Monitoring serum biomarkers offers new possibilities to diagnose ovarian cancer at an early stage. In this study, nanobodies targeting the ovarian cancer biomarkers human epididymis protein 4 (HE4), secretory leukocyte protease inhibitor (SLPI), and progranulin (PGRN) were evaluated regarding their expression levels in bacterial systems, epitope binning, and antigen-binding affinity by enzyme-linked immunosorbent assay and surface plasmon resonance. The selected nanobodies possess strong binding affinities for their cognate antigens (K

Indexed as

Ovarian NeoplasmsSingle-Domain AntibodiesBiomarkers, TumorCarcinoma, Ovarian EpithelialEarly Detection of CancerFemaleHumansProgranulinsBiomarkers, TumorProgranulinsSingle-Domain Antibodiesearly-stage cancer detectionepithelial ovarian cancerhuman epididymis protein 4nanobodiesprogranulinsecretory leukocyte protease inhibitor

Identifiers

PMID36430166
PMCPMC9691119
OpenAlexW4308507331

What OpenQuestion holds

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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.