Evidence map›Paper›PMID 41475339›Full record

ArticleCell reports. Medicine2026

zAvatar-test-A functional precision model to personalize ovarian cancer treatments: Results from a co-clinical study.

Marta F Estrada, Filipa Amorim, Filipa Ferreira da Silva, Cátia Rebelo de Almeida, Márcia Fontes, Ricardo Coelho, Sónia Ferreira, Rita Canas-Marques, Mireia Castillo-Martin, João Casanova and 9 more

Abstract read
In one paragraph

Article in Cell reports. Medicine, 2026. 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

19 authors.

Marta F EstradaChampalimaud Research, Champalimaud Foundation, 1400-038 Lisbon, Portugal. Electronic address: marta.estrada@research.fchampalimaud.org.
Filipa AmorimChampalimaud Research, Champalimaud Foundation, 1400-038 Lisbon, Portugal.
Filipa Ferreira da SilvaGynecology Department, Champalimaud Clinical Centre, Champalimaud Foundation, 1400-038 Lisbon, Portugal.
Cátia Rebelo de AlmeidaChampalimaud Research, Champalimaud Foundation, 1400-038 Lisbon, Portugal.
Márcia FontesChampalimaud Research, Champalimaud Foundation, 1400-038 Lisbon, Portugal.
Ricardo CoelhoDepartment of Biomedicine, University Hospital and University of Basel, 4031 Basel, Switzerland.
Sónia FerreiraGynecology Department, Champalimaud Clinical Centre, Champalimaud Foundation, 1400-038 Lisbon, Portugal.
Rita Canas-MarquesPathology Service, Champalimaud Clinical Centre, Champalimaud Foundation, 1400-038 Lisbon, Portugal.
Mireia Castillo-MartinPathology Service, Champalimaud Clinical Centre, Champalimaud Foundation, 1400-038 Lisbon, Portugal.
João CasanovaGynecology Department, Champalimaud Clinical Centre, Champalimaud Foundation, 1400-038 Lisbon, Portugal; Gynecologic Oncology Unit, Obstetrics and Gynecology Service, Department of Surgery, Hospital da Luz Lisboa, 1500-650 Lisbon, Portugal.
Maria de Lurdes BatardaGynecology Department, Champalimaud Clinical Centre, Champalimaud Foundation, 1400-038 Lisbon, Portugal.
Elisa Yaniz-GalendeDepartment of Medical Oncology at Gustave Roussy, 94805 Paris, France.
Audrey LeFormalDepartment of Medical Oncology at Gustave Roussy, 94805 Paris, France.
Ana MarreirosFaculty of Medicine and Biomedical Sciences, University of Algarve, 8005-139 Faro, Portugal; Algarve Biomedical Center Research Institute, University of Algarve, 8005-139 Faro, Portugal; Unidade Local de Saúde do Algarve, 8000-386 Faro, Portugal.
Francis JacobDepartment of Biomedicine, University Hospital and University of Basel, 4031 Basel, Switzerland.
Viola Heinzelmann-SchwarzDepartment of Biomedicine, University Hospital and University of Basel, 4031 Basel, Switzerland.
Alexandra LearyDepartment of Medical Oncology at Gustave Roussy, 94805 Paris, France.
Henrique NabaisGynecology Department, Champalimaud Clinical Centre, Champalimaud Foundation, 1400-038 Lisbon, Portugal.
Rita FiorChampalimaud Research, Champalimaud Foundation, 1400-038 Lisbon, Portugal. Electronic address: rita.fior@research.fchampalimaud.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In ovarian cancer, 80% of patients relapse after first-line therapy. In recurrent cases, oncologists lack reliable tests to guide chemotherapy choices, creating an unmet clinical need. Here, we develop the ovarian cancer zebrafish Avatar-test, a functional in vivo model using patient tumor cells implanted in zebrafish embryos to predict treatment responses. We present the largest observational study (32 patients), where the zAvatar-test achieves 91% accuracy in predicting patient outcomes. Patients with a zAvatar-sensitive-test correlate with longer progression-free survival (17 vs. 6 months). Tumors in zAvatars are dynamic, with human-host cell interactions, and higher metastatic potential in poor-prognosis cases. Finally, as a proof of concept, we demonstrate that venetoclax has the potential to sensitize multidrug-resistant tumors. Altogether, this clinical study demonstrates that the zAvatar-test may help clinicians personalize treatments for ovarian cancer patients. We are now conducting a multicentric randomized clinical trial to evaluate the zAvatar-test as a companion tool in clinical oncology.

Indexed as

Ovarian NeoplasmsPrecision MedicineAgedAnimalsAntineoplastic AgentsBridged Bicyclo Compounds, HeterocyclicCell Line, TumorDrug Resistance, NeoplasmFemaleHumansMiddle AgedSulfonamidesZebrafishAntineoplastic AgentsBridged Bicyclo Compounds, HeterocyclicSulfonamidesvenetoclaxevidence-based medicinefunctional precision medicineovarian cancerpersonalized medicinepre-clinical testingpredict treatment responsetranslationaltumor microenvironmentzAvatar modelzebrafish PDX

Identifiers

PMID41475339
PMCPMC12866172

What OpenQuestion holds

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LicenceCC BY
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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.