ReviewFrontiers in cell and developmental biology2021
Zebrafish Cancer Predisposition Models.
Review in Frontiers in cell and developmental biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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.
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.
Who cites it
20 citing papers in PubMed, 32 citations in OpenAlex.
- Zebrafish against cancer: towards clinical relevance.Disease models & mechanisms · 2026Review
- Bony fish genomes: Status and gaps.Journal of fish biology · 2026Review
- Article
- Oxidative Stress, Genetic Factors and Behavioral Responses to Chemical Exposure: Insights into Cancer Development in Zebrafish (Danio Rerio).Biochemical genetics · 2026Review
- Zebrafish as a multimodal platforms for anti-inflammatory phytomedicine discovery and translation.Frontiers in pharmacology · 2026Review
- The Zebrafish as a Model for Ocular Translational Research: From Retinal Repair to Regeneration.Cells · 2025Review
- Consequences of Cancer on ZebrafishEcology and evolution · 2025Article
- Review
- Dis3l2 is essential for neural crest survival by modulating Akt signaling.Cell communication and signaling : CCS · 2025Article
- The paradigm shift: re-evaluating preclinical animal models for colorectal cancer in the precision medicine era.Frontiers in immunology · 2025Review
- Non-Mammalian Models for Understanding Neurological Defects in RASopathies.Biomedicines · 2024Review
- Zebrafish-A Suitable Model for Rapid Translation of Effective Therapies for Pediatric Cancers.Cancers · 2024Review
- Embryonic transcription and epigenetics: root of the evil.Human cell · 2023Article
- Zebrafish as a Model to Study Retinoic Acid Signaling in Development and Disease.Biomedicines · 2023Review
- Review
- Atm deficient zebrafish model reveals conservation of the tumour suppressor function and a role in fertility.Genes & diseases · 2023Article
- Sulconazole inhibits PD-1 expression in immune cells and cancer cells malignant phenotype through NF-κB and calcium activity repression.Frontiers in immunology · 2023Article
- Zebrafish-An Optimal Model in Experimental Oncology.Molecules (Basel, Switzerland) · 2022Review
- Zebrafish models of inflammation in hematopoietic development and disease.Frontiers in cell and developmental biology · 2022Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cancer predisposition syndromes are rare, typically monogenic disorders that result from germline mutations that increase the likelihood of developing cancer. Although these disorders are individually rare, resulting cancers collectively represent 5-10% of all malignancies. In addition to a greater incidence of cancer, affected individuals have an earlier tumor onset and are frequently subjected to long-term multi-modal cancer screening protocols for earlier detection and initiation of treatment.
Indexed as
Identifiers
What OpenQuestion holds
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.