Evidence map›Paper›PMID 39863644›Full record

ArticleScientific reports2025

MUC1 and glycan probing of CA19-9 captured biomarkers from cyst fluids and serum provides enhanced recognition of ovarian cancer.

Shamima Afrin Ruma, Rufus Vinod, Shruti Jain, Kaisa Huhtinen, Johanna Hynninen, Janne Leivo, Kim Pettersson, Karin Sundfeldt, Kamlesh Gidwani

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Shamima Afrin RumaDepartment of Life Technologies, Division of Biotechnology, University of Turku, Medisiina D, 5th floor, Kiinamyllynkatu 10, 20520, Turku, Finland. shamima.afrinruma@utu.fi.
Rufus VinodDepartment of Life Technologies, Division of Biotechnology, University of Turku, Medisiina D, 5th floor, Kiinamyllynkatu 10, 20520, Turku, Finland.
Shruti JainDepartment of Life Technologies, Division of Biotechnology, University of Turku, Medisiina D, 5th floor, Kiinamyllynkatu 10, 20520, Turku, Finland.
Kaisa HuhtinenInstitute of Biomedicine and FICAN West Cancer Centre, University of Turku and Turku University Hospital, Turku, Finland.
Johanna HynninenInstitute of Biomedicine and FICAN West Cancer Centre, University of Turku and Turku University Hospital, Turku, Finland.
Janne LeivoDepartment of Life Technologies, Division of Biotechnology, University of Turku, Medisiina D, 5th floor, Kiinamyllynkatu 10, 20520, Turku, Finland.
Kim PetterssonDepartment of Life Technologies, Division of Biotechnology, University of Turku, Medisiina D, 5th floor, Kiinamyllynkatu 10, 20520, Turku, Finland.
Karin SundfeldtDepartment of Obstetrics and Gynecology, Institute of Clinical Sciences, Sahlgrenska Center for Cancer Research, University of Gothenburg, Gothenberg, Sweden.
Kamlesh GidwaniDepartment of Life Technologies, Division of Biotechnology, University of Turku, Medisiina D, 5th floor, Kiinamyllynkatu 10, 20520, Turku, Finland.

Funding

Jane ja Aatos Erkon Säätiö 2018-2021Swedish Cancer Foundation CAN-2021\1848 (KS)The Nordic cancer union, Denmark 194914
6 · The paper itself

Abstract

Glycosylation changes of circulating proteins carrying the CA19-9 antigen may offer new targets for detection methods to be explored for the diagnosis of epithelial ovarian cancer (EOC). Search for assay designs for targets initially captured by a CA19-9 antigen reactive antibody from human body fluids by probing with fluorescent nanoparticles coated with lectins or antibodies to known EOC associated proteins. CA19-9 antigens were immobilized from ascites fluids, ovarian cyst fluids or serum samples using monoclonal antibody C192 followed by probing of carrier proteins using anti-MUC16, anti-MUC1 and, anti STn antibodies and seven lectins, all separately coated on nanoparticles. Compared to reference CA19-9 and CA125 immunoassays, nanoparticle aided detection using MUC16, Ma695 and STn antibodies and lectin WGA provided, both separately and combined, improved discrimination of EOC and borderline cancers from benign samples when applied to 60 cyst fluid specimens. When applied to a panel of 44 serum samples (EOC N = 24, healthy and benign samples N = 20) two assays, CA19-9

Indexed as

Biomarkers, TumorCA-19-9 AntigenCyst FluidMucin-1Ovarian NeoplasmsPolysaccharidesCarcinoma, Ovarian EpithelialFemaleHumansImmunoassayBiomarkers, TumorCA-19-9 AntigenMUC1 protein, humanMucin-1PolysaccharidesCA19-9CYST fluidsEpithelial ovarian cancerEuropium nanoparticlesMUC1MUC16

Identifiers

PMID39863644
PMCPMC11762729

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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.