Evidence map›Paper›PMID 35565373›Full record

ReviewCancers2022

What Zebrafish and Nanotechnology Can Offer for Cancer Treatments in the Age of Personalized Medicine.

María Cascallar, Sandra Alijas, Alba Pensado-López, Abi Judit Vázquez-Ríos, Laura Sánchez, Roberto Piñeiro, María de la Fuente

Open access · goldAbstract readReview
In one paragraph

Review in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.6field-weighted citation impact, top 19% of its field
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

9 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. International journal of nanomedicine · 2026
    Article
  3. Emerging nanomedicine for liver diseases treatment.Journal of nanobiotechnology · 2025
    Review
  4. Review
  5. The Role of the Neurotrophin Network in Skin Squamous Cell Cancer and the Novel Use of the Zebrafish System.JID innovations : skin science from molecules to population health · 2024
    Review
  6. Zebrafish live imaging: a strong weapon in anticancer drug discovery and development.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2024
    Review
  7. Article
  8. Review
  9. 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

7 authors at 3 institutions in 1 country.

María CascallarNano-Oncology and Translational Therapeutics Group, Health Research Institute of Santiago de Compostela (IDIS), SERGAS, 15706 Santiago de Compostela, Spain.
Sandra AlijasNano-Oncology and Translational Therapeutics Group, Health Research Institute of Santiago de Compostela (IDIS), SERGAS, 15706 Santiago de Compostela, Spain.
Alba Pensado-LópezDepartment of Zoology, Genetics and Physical Anthropology, Universidade de Santiago de Compostela, Campus de Lugo, 27002 Lugo, Spain.ORCID 0000-0003-1622-3068
Abi Judit Vázquez-RíosNano-Oncology and Translational Therapeutics Group, Health Research Institute of Santiago de Compostela (IDIS), SERGAS, 15706 Santiago de Compostela, Spain.ORCID 0000-0002-5345-3682
Laura SánchezDepartment of Zoology, Genetics and Physical Anthropology, Universidade de Santiago de Compostela, Campus de Lugo, 27002 Lugo, Spain.ORCID 0000-0001-7927-5303
Roberto PiñeiroCentro de Investigación Biomédica en Red Cáncer (CIBERONC), 28029 Madrid, Spain.ORCID 0000-0001-9479-139X
María de la FuenteNano-Oncology and Translational Therapeutics Group, Health Research Institute of Santiago de Compostela (IDIS), SERGAS, 15706 Santiago de Compostela, Spain.
Instituto de Investigación Sanitaria de Santiago · ESUniversidade de Santiago de Compostela · ESCentro de Investigación Biomédica en Red de Cáncer · ES

Funding

Axencia Galega de Innovación, Consellería de Economía, Empleo e Industria e Consellería de Cultura, Educación e Ordenación Universitaria ED481A-2018/095Axencia Galega de Innovación (GAIN), Consellería de Economía, Emprego e Industria IN607B2021/14Axencia Galega de Innovación (GAIN), Consellería de Economía, Emprego e Industria IN853B 2018/03Consellería de Educación, Universidade e Formación Profesional, Xunta de Galicia local government ED431C 2018/28ERA-NET EURONANOMED III JTC2018/ 041ERA-NET EURONANOMED III JTC2018-045Instituto de Salud Carlos IIIISCIII and the European Regional Development Fund (FEDER) AC18/00045Instituto de Salud Carlos IIIISCIII and the European Regional Development Fund (FEDER) AC18/00107Instituto de Salud Carlos IIIISCIII and the European Regional Development Fund (FEDER) PI21/01262
6 · The paper itself

Abstract

Cancer causes millions of deaths each year and thus urgently requires the development of new therapeutic strategies. Nanotechnology-based anticancer therapies are a promising approach, with several formulations already approved and in clinical use. The evaluation of these therapies requires efficient in vivo models to study their behavior and interaction with cancer cells, and to optimize their properties to ensure maximum efficacy and safety. In this way, zebrafish is an important candidate due to its high homology with the human genoma, its large offspring, and the ease in developing specific cancer models. The role of zebrafish as a model for anticancer therapy studies has been highly evidenced, allowing researchers not only to perform drug screenings but also to evaluate novel therapies such as immunotherapies and nanotherapies. Beyond that, zebrafish can be used as an "avatar" model for performing patient-derived xenografts for personalized medicine. These characteristics place zebrafish in an attractive position as a role model for evaluating novel therapies for cancer treatment, such as nanomedicine.

Indexed as

cancerdrug screeningnanomedicinepersonalized medicinexenograftzebrafish

Identifiers

PMID35565373
PMCPMC9099873
OpenAlexW4225149246

What Socratic 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 Socratic graph.