ArticlePLoS genetics2013
Comparative oncogenomic analysis of copy number alterations in human and zebrafish tumors enables cancer driver discovery.
Article in PLoS genetics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed, 34 citations in OpenAlex.
- Zebrafish-based platform for emerging bio-contaminants and virus inactivation research.The Science of the total environment · 2023Review
- Loss of smarcad1a accelerates tumorigenesis of malignant peripheral nerve sheath tumors in zebrafish.Genes, chromosomes & cancer · 2021Article
- Genetic Engineering of Zebrafish in Cancer Research.Cancers · 2020Review
- Genetics of human malignant peripheral nerve sheath tumors.Neuro-oncology advances · 2020Review
- Review
- The Anticancer Properties of Tanshinones and the Pharmacological Effects of Their Active Ingredients.Frontiers in pharmacology · 2020Review
- CXXC5: A novel regulator and coordinator of TGF-β, BMP and Wnt signaling.Journal of cellular and molecular medicine · 2019Review
- Identification ofOncotarget · 2018Article
- Visualization of Cellular Electrical Activity in Zebrafish Early Embryos and Tumors.Journal of visualized experiments : JoVE · 2018Article
- Atrazine exposure elicits copy number alterations in the zebrafish genome.Comparative biochemistry and physiology. Toxicology & pharmacology : CBP · 2017Article
- Recurrent patterns of DNA copy number alterations in tumors reflect metabolic selection pressures.Molecular systems biology · 2017Article
- KANK1 inhibits cell growth by inducing apoptosis through regulating CXXC5 in human malignant peripheral nerve sheath tumors.Scientific reports · 2017Article
- Selenoprotein H is an essential regulator of redox homeostasis that cooperates with p53 in development and tumorigenesis.Proceedings of the National Academy of Sciences of the United States of America · 2016Article
- Genomic Approaches to Zebrafish Cancer.Advances in experimental medicine and biology · 2016Review
- A RASopathy gene commonly mutated in cancer: the neurofibromatosis type 1 tumour suppressor.Nature reviews. Cancer · 2015Review
- Cross-species oncogenomics using zebrafish models of cancer.Current opinion in genetics & development · 2015Review
- Zebrafish as a model to assess cancer heterogeneity, progression and relapse.Disease models & mechanisms · 2014Review
- Zebrafish models of cancer: progress and future challenges.Current opinion in genetics & development · 2014Review
- Article
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Authors and funding
11 authors at 4 institutions in 3 countries.
Funding
Abstract
The identification of cancer drivers is a major goal of current cancer research. Finding driver genes within large chromosomal events is especially challenging because such alterations encompass many genes. Previously, we demonstrated that zebrafish malignant peripheral nerve sheath tumors (MPNSTs) are highly aneuploid, much like human tumors. In this study, we examined 147 zebrafish MPNSTs by massively parallel sequencing and identified both large and focal copy number alterations (CNAs). Given the low degree of conserved synteny between fish and mammals, we reasoned that comparative analyses of CNAs from fish versus human MPNSTs would enable elimination of a large proportion of passenger mutations, especially on large CNAs. We established a list of orthologous genes between human and zebrafish, which includes approximately two-thirds of human protein-coding genes. For the subset of these genes found in human MPNST CNAs, only one quarter of their orthologues were co-gained or co-lost in zebrafish, dramatically narrowing the list of candidate cancer drivers for both focal and large CNAs. We conclude that zebrafish-human comparative analysis represents a powerful, and broadly applicable, tool to enrich for evolutionarily conserved cancer drivers.
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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.