Evidence map›Paper›PMID 38791891›Full record

ArticleCancers2024

Zebrafish Avatars: Toward Functional Precision Medicine in Low-Grade Serous Ovarian Cancer.

Charlotte Fieuws, Jan Willem Bek, Bram Parton, Elyne De Neef, Olivier De Wever, Milena Hoorne, Marta F Estrada, Jo Van Dorpe, Hannelore Denys, Koen Van de Vijver and 1 more

Abstract read
In one paragraph

Article in Cancers, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Zebrafish: A Versatile and Powerful Model for Biomedical Research.BioEssays : news and reviews in molecular, cellular and developmental biology · 2025
    Review
  2. Review
  3. Breaking the mold: 3D cell cultures reshaping the future of cancer research.Frontiers in cell and developmental biology · 2024
    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

11 authors.

Charlotte FieuwsDepartment of Biomolecular Medicine, Ghent University, 9000 Ghent, Belgium.ORCID 0000-0002-1567-2075
Jan Willem BekDepartment of Biomolecular Medicine, Ghent University, 9000 Ghent, Belgium.ORCID 0000-0003-1337-1970
Bram PartonDepartment of Biomolecular Medicine, Ghent University, 9000 Ghent, Belgium.ORCID 0000-0002-0879-5915
Elyne De NeefDepartment of Biomolecular Medicine, Ghent University, 9000 Ghent, Belgium.ORCID 0000-0003-2933-2773
Olivier De WeverCancer Research Institute Ghent, 9000 Ghent, Belgium.
Milena HoorneCancer Research Institute Ghent, 9000 Ghent, Belgium.
Marta F EstradaChampalimaud Centre of the Unknown, Champalimaud Foundation, 1400-038 Lisbon, Portugal.ORCID 0000-0001-5119-822X
Jo Van DorpeCancer Research Institute Ghent, 9000 Ghent, Belgium.ORCID 0000-0001-8175-2930
Hannelore DenysCancer Research Institute Ghent, 9000 Ghent, Belgium.
Koen Van de VijverCancer Research Institute Ghent, 9000 Ghent, Belgium.ORCID 0000-0002-2026-9790
Kathleen B M ClaesDepartment of Biomolecular Medicine, Ghent University, 9000 Ghent, Belgium.ORCID 0000-0003-0841-7372

Funding

Research Foundation - Flanders 1S73622N
6 · The paper itself

Abstract

Ovarian cancer (OC) is an umbrella term for cancerous malignancies affecting the ovaries, yet treatment options for all subtypes are predominantly derived from high-grade serous ovarian cancer, the largest subgroup. The concept of "functional precision medicine" involves gaining personalized insights on therapy choice, based on direct exposure of patient tissues to drugs. This especially holds promise for rare subtypes like low-grade serous ovarian cancer (LGSOC). This study aims to establish an in vivo model for LGSOC using zebrafish embryos, comparing treatment responses previously observed in mouse PDX models, cell lines and 3D tumor models. To address this goal, a well-characterized patient-derived LGSOC cell line with the

Indexed as

functional precision medicinelow-grade serousovarian cancerzAvatarszebrafish xenografts

Identifiers

PMID38791891
PMCPMC11120355

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.