ReviewAdvances in experimental medicine and biology2020
Modeling of Solid-Tumor Microenvironment in Zebrafish (Danio Rerio) Larvae.
Review in Advances in experimental medicine and biology, 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 7 papers, 1 of them a synthesis that pooled it.
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.
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?
Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- [Modification with IL-21 and CCL19 enhances killing efficiency and tumor infiltration of NKP30 CAR-T cells in lung cancer].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2024Article
- Assessment of stromal SCD-induced drug resistance of PDAC using 3D-printed zPDX model chips.iScience · 2023Article
- One Host-Multiple Applications: Zebrafish (International journal of molecular sciences · 2022Review
- Nano-bubble hydrogen water: An effective therapeutic agent against inflammation related disease caused by viral infection in zebrafish model.Virologica Sinica · 2022Article
- Interleukin-15 and chemokine ligand 19 enhance cytotoxic effects of chimeric antigen receptor T cells using zebrafish xenograft model of gastric cancer.Frontiers in immunology · 2022Article
- Zebrafish Models of Cancer Therapy-Induced Cardiovascular Toxicity.Journal of cardiovascular development and disease · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The zebrafish larvae have emerged as a powerful model for studying tumorigenesis in vivo, with remarkable conservation with mammals in genetics, molecular and cell biology. Zebrafish tumor models bear the significant advantages of optical clarity in comparison to that in the mammalian models, allowing noninvasive investigation of the tumor cell and its microenvironment at single-cell resolution. Here we review recent progressions in the field of zebrafish models of solid tumor diseases in two main categories: the genetically engineered tumor models in which all cells in the tumor microenvironment are zebrafish cells, and xenograft tumor models in which the tumor microenvironment is composed of zebrafish cells and cells from other species. Notably, the zebrafish patient-derived xenograft (zPDX) models can be used for personalized drug assessment on primary tumor biopsies, including the pancreatic cancer. For the future studies, a series of high throughput drug screenings on the library of transgenic zebrafish models of solid tumor are expected to provide systematic database of oncogenic mutation, cell-of-origin, and leading compounds; and the humanization of zebrafish in genetics and cellular composition will make it more practical hosts for zPDX modeling. Together, zebrafish tumor model systems are unique and convenient in vivo platforms, with great potential to serve as valuable tools for cancer researches.
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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.