Evidence map›Paper›PMID 38839755›Full record

ArticleNature communications2024

Zebrafish Avatar-test forecasts clinical response to chemotherapy in patients with colorectal cancer.

Bruna Costa, Marta F Estrada, António Gomes, Laura M Fernandez, José M Azevedo, Vanda Póvoa, Márcia Fontes, António Alves, António Galzerano, Mireia Castillo-Martin and 8 more

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Review
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  4. A Novel Zebrafish Liver-Specific Metastasis Model Reveals c-Met as a Driver of Liver Tropism.Liver international : official journal of the International Association for the Study of the Liver · 2026
    Article
  5. Review
  6. Article
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  9. Article
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  11. Review
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  13. Article
  14. Article
  15. Zebrafish as a Model for Translational Immuno-Oncology.Journal of personalized medicine · 2025
    Review
  16. Review
  17. Article
  18. Review
  19. Small Fish, Big Answers: Zebrafish and the Molecular Drivers of Metastasis.International journal of molecular sciences · 2025
    Review
  20. 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

18 authors.

Bruna CostaChampalimaud Research, Champalimaud Foundation, Lisbon, Portugal.ORCID http://orcid.org/0000-0002-6697-7258
Marta F EstradaChampalimaud Research, Champalimaud Foundation, Lisbon, Portugal.ORCID http://orcid.org/0000-0001-5119-822X
António Gomes *Surgery Unit, Hospital Prof. Doutor Fernando Fonseca, Amadora, Portugal.
Laura M Fernandez *Colorectal Surgery Department, Champalimaud Clinical Centre, Champalimaud Foundation, Lisbon, Portugal.
José M AzevedoColorectal Surgery Department, Champalimaud Clinical Centre, Champalimaud Foundation, Lisbon, Portugal.ORCID http://orcid.org/0000-0002-2918-3088
Vanda PóvoaChampalimaud Research, Champalimaud Foundation, Lisbon, Portugal.ORCID http://orcid.org/0000-0003-2339-0550
Márcia FontesChampalimaud Research, Champalimaud Foundation, Lisbon, Portugal.ORCID http://orcid.org/0009-0006-5397-2550
António AlvesInstitute of Pathological Anatomy, Faculty of Medicine of the University of Lisbon, Lisbon, Portugal.ORCID http://orcid.org/0000-0002-4142-8308
António GalzeranoPathology Service, Champalimaud Clinical Centre, Champalimaud Foundation, Lisbon, Portugal.
Mireia Castillo-MartinPathology Service, Champalimaud Clinical Centre, Champalimaud Foundation, Lisbon, Portugal.
Ignacio HerrandoColorectal Surgery Department, Champalimaud Clinical Centre, Champalimaud Foundation, Lisbon, Portugal.ORCID http://orcid.org/0000-0001-8380-4722
Shermann BrandãoDigestive Unit, Champalimaud Clinical Centre, Champalimaud Foundation, Lisbon, Portugal.
Carla CarneiroSurgery Unit, Hospital Prof. Doutor Fernando Fonseca, Amadora, Portugal.
Vítor NunesSurgery Unit, Hospital Prof. Doutor Fernando Fonseca, Amadora, Portugal.
Carlos CarvalhoDigestive Unit, Champalimaud Clinical Centre, Champalimaud Foundation, Lisbon, Portugal.
Amjad ParvaizColorectal Surgery Department, Champalimaud Clinical Centre, Champalimaud Foundation, Lisbon, Portugal.
Ana MarreirosFaculty of Medicine and Biomedical Sciences, University of Algarve, Faro, Portugal.ORCID http://orcid.org/0000-0001-9410-4772
Rita FiorChampalimaud Research, Champalimaud Foundation, Lisbon, Portugal. rita.fior@research.fchampalimaud.org.ORCID http://orcid.org/0000-0001-5550-2428

Funding

Ministry of Education and Science | Fundação para a Ciência e a Tecnologia (Portuguese Science and Technology Foundation) FCT-PTDC/MEC-ONC/31627/2017Ministry of Education and Science | Fundação para a Ciência e a Tecnologia (Portuguese Science and Technology Foundation) LISBOA-01-0145-FEDER-022170
6 · The paper itself

Abstract

Cancer patients often undergo rounds of trial-and-error to find the most effective treatment because there is no test in the clinical practice for predicting therapy response. Here, we conduct a clinical study to validate the zebrafish patient-derived xenograft model (zAvatar) as a fast predictive platform for personalized treatment in colorectal cancer. zAvatars are generated with patient tumor cells, treated exactly with the same therapy as their corresponding patient and analyzed at single-cell resolution. By individually comparing the clinical responses of 55 patients with their zAvatar-test, we develop a decision tree model integrating tumor stage, zAvatar-apoptosis, and zAvatar-metastatic potential. This model accurately forecasts patient progression with 91% accuracy. Importantly, patients with a sensitive zAvatar-test exhibit longer progression-free survival compared to those with a resistant test. We propose the zAvatar-test as a rapid approach to guide clinical decisions, optimizing treatment options and improving the survival of cancer patients.

Indexed as

Colorectal NeoplasmsZebrafishAnimalsAntineoplastic AgentsApoptosisDisease Models, AnimalFemaleHumansMalePrecision MedicineProgression-Free SurvivalXenograft Model Antitumor AssaysAntineoplastic Agents

Identifiers

PMID38839755
PMCPMC11153622

What OpenQuestion holds

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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.