Evidence map›Paper›PMID 24194685›Full record

ArticleTheScientificWorldJournal2013

Detection of MUC1-expressing ovarian cancer by C595 monoclonal antibody-conjugated SPIONs using MR imaging.

Daryoush Shahbazi-Gahrouei, Mohammad Abdolahi

Abstract read
In one paragraph

Article in TheScientificWorldJournal, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–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

16 citing papers in PubMed.

  1. Mucin-Targeted Antibodies for Ovarian Cancer.Seminars in nuclear medicine · 2025
    Review
  2. Article
  3. Review
  4. Nanobodies asRSC chemical biology · 2021
    Review
  5. Review
  6. Medical imaging modalities using nanoprobes for cancer diagnosis: A literature review on recent findings.Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences · 2019
    Review
  7. Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Magnetic Iron Oxide Nanoparticles as TAvicenna journal of medical biotechnology
    Article
  15. Article
  16. 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

2 authors.

Daryoush Shahbazi-GahroueiDepartment of Medical Physics and Medical Engineering, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Mohammad Abdolahi

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study is to find out the development and application of MUC1-expressing ovarian cancer (OVCAR3) by C595 monoclonal antibody-conjugated superparamagnetic iron oxide nanoparticles (SPIONs) using MR imaging. At the end, its use as a nanosized contrast agent MR imaging probe for ovarian cancer detection was investigated. The strategy is to use SPIONs attached to C595 mAb that binds to the MUC1, to specifically detect ovarian cancer cells. Anticancer effects and MR imaging parameters of the prepared nanoconjugate was investigated both under in vitro and in vivo experiments. The characterization of nanoconjugate includes its size, cell toxicity, flow cytometry, Prussian blue staining test and its cellular uptake as well as its biodistribution, and MR imaging was also investigated. The findings of the study showed good tumor accumulation and detection, no in vivo toxicity, and potential selective antiovarian cancer activity. Overall, based on the findings SPIONs-C595 nanosized probe is a selective ovarian molecular imaging modality. Further subsequent clinical trials appear warranted.

Indexed as

DextransMagnetite NanoparticlesAntibodies, MonoclonalBiomarkers, TumorCell Line, TumorContrast MediaFemaleHumansMagnetic Resonance ImagingMolecular ImagingMucin-1Ovarian NeoplasmsReproducibility of ResultsSensitivity and SpecificityAntibodies, MonoclonalBiomarkers, TumorContrast MediaDextransferumoxtran-10Magnetite NanoparticlesMUC1 protein, humanMucin-1

Identifiers

PMID24194685
PMCPMC3806490

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Registered trials

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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.