ReviewGenes2017
The Potential of Zebrafish as a Model Organism for Improving the Translation of Genetic Anticancer Nanomedicines.
Review in Genes, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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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.
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.
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Who cites it
13 citing papers in PubMed.
- dUTPase is essential in zebrafish development and possesses several single-nucleotide variants with pronounced structural and functional consequences.FEBS open bio · 2026Article
- Recent Advances of the Zebrafish Model in the Discovery of Marine Bioactive Molecules.Marine drugs · 2024Review
- 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 · 2024Review
- Molecular mechanisms of anthracycline induced cardiotoxicity: Zebrafish come into play.Frontiers in cardiovascular medicine · 2023Review
- Zebrafish as a platform to evaluate the potential of lipidic nanoemulsions for gene therapy in cancer.Frontiers in pharmacology · 2022Article
- Human Endogenous Retroviruses as Gene Expression Regulators: Insights from Animal Models into Human Diseases.Molecules and cells · 2021Review
- Edelfosine nanoemulsions inhibit tumor growth of triple negative breast cancer in zebrafish xenograft model.Scientific reports · 2021Article
- Amino acid-modified PAMAM dendritic nanocarriers as effective chemotherapeutic drug vehicles in cancer treatment: a study using zebrafish as a cancer model.RSC advances · 2020Article
- Article
- Recellularized Colorectal Cancer Patient-derived Scaffolds as in vitro Pre-clinical 3D Model for Drug Screening.Cancers · 2020Article
- Zebrafish Models of Cancer-New Insights on Modeling Human Cancer in a Non-Mammalian Vertebrate.Genes · 2019Review
- Silkworm, Bombyx mori, as an alternative model organism in toxicological research.Environmental science and pollution research international · 2018Article
- The Reprimo Gene Family: A Novel Gene Lineage in Gastric Cancer with Tumor Suppressive Properties.International journal of molecular sciences · 2018Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In the last few decades, the field of nanomedicine applied to cancer has revolutionized cancer treatment: several nanoformulations have already reached the market and are routinely being used in the clinical practice. In the case of genetic nanomedicines, i.e., designed to deliver gene therapies to cancer cells for therapeutic purposes, advances have been less impressive. This is because of the many barriers that limit the access of the therapeutic nucleic acids to their target site, and the lack of models that would allow for an improvement in the understanding of how nanocarriers can be tailored to overcome them. Zebrafish has important advantages as a model species for the study of anticancer therapies, and have a lot to offer regarding the rational development of efficient delivery of genetic nanomedicines, and hence increasing the chances of their successful translation. This review aims to provide an overview of the recent advances in the development of genetic anticancer nanomedicines, and of the zebrafish models that stand as promising tools to shed light on their mechanisms of action and overall potential in oncology.
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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.