Evidence map›Paper›PMID 31991800›Full record

ReviewCells2020

Zebrafish Avatars towards Personalized Medicine-A Comparative Review between Avatar Models.

Bruna Costa, Marta F Estrada, Raquel V Mendes, Rita Fior

Registry-linked trialAbstract readReview
In one paragraph

Review in Cells, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05289076 (Protocol for Evaluation of Oncological Treatment in Patients With CRLM Using Zebra Fish Avatars-may This Model Improve Resection Rates and Survival in Patients With Upfront Non-resectable Metastatic Disease?), which is not on this map. Cited by 59 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed, 1 pooled it
–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.

NCT05289076 phase1 / phase2unknown statusnot on this mapstarted 2022, after this paper: background citation

Protocol for Evaluation of Oncological Treatment in Patients With CRLM Using Zebra Fish Avatars-may This Model Improve Resection Rates and Survival in Patients With Upfront Non-resectable Metastatic Disease?

TypeinterventionalSponsorUniversity Hospital, LinkoepingRan2022 to 2025Enrolled40ConditionsColorectal Cancer Metastatic, Tumour Metastasis, Chemotherapy Effect, Tumor GrowthArmsChemotherapy drug
3 · Its place in the literature

Who cites it

59 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Advancements in Zebrafish Models for Breast Cancer Research: Unveiling Biomarkers, Targeted Therapies, and Personalized Medicine.Medical science monitor : international medical journal of experimental and clinical research · 2023
    Pooled it
  2. Article
  3. Review
  4. Article
  5. Review
  6. Review
  7. Article
  8. Review
  9. Zebrafish as a Model for Translational Immuno-Oncology.Journal of personalized medicine · 2025
    Review
  10. Article
  11. Review
  12. Article
  13. Small Fish, Big Answers: Zebrafish and the Molecular Drivers of Metastasis.International journal of molecular sciences · 2025
    Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  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

4 authors.

Bruna Costa
Marta F Estrada
Raquel V MendesChampalimaud Centre for the Unknown, Champalimaud Foundation, 1400-038 Lisbon, Portugal.
Rita FiorChampalimaud Centre for the Unknown, Champalimaud Foundation, 1400-038 Lisbon, Portugal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer frequency and prevalence have been increasing in the past decades, with devastating impacts on patients and their families. Despite the great advances in targeted approaches, there is still a lack of methods to predict individual patient responses, and therefore treatments are tailored according to average response rates. "Omics" approaches are used for patient stratification and choice of therapeutic options towards a more precise medicine. These methods, however, do not consider all genetic and non-genetic dynamic interactions that occur upon drug treatment. Therefore, the need to directly challenge patient cells in a personalized manner remains. The present review addresses the state of the art of patient-derived

Indexed as

AnimalsApoptosisDrosophilaHeterograftsHumansMiceNeoplasmsNeoplasm TransplantationOrganoidsPrecision MedicineTumor MicroenvironmentXenograft Model Antitumor AssaysZebrafishAvatarscancerPDXpersonalized medicinetumor microenvironmentzebrafish

Identifiers

PMID31991800
PMCPMC7072137

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.