ArticleInternational journal of molecular sciences2021
Dissecting Breast Cancer Circulating Tumor Cells Competence via Modelling Metastasis in Zebrafish.
Article in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.
- Advancements in Zebrafish Models for Breast Cancer Research: Unveiling Biomarkers, Targeted Therapies, and Personalized Medicine.Medical science monitor : international medical journal of experimental and clinical research · 2023Pooled it
- Glutamate decarboxylase 1 (GAD1) suppresses the progression of glioblastoma through GSK3β/β-catenin pathway.Cell death discovery · 2026Article
- Preclinical models of breast cancer metastasis: strengths, limitations, and clinical relevance.NPJ breast cancer · 2026Review
- Total flavonoids of litchi seed inhibit breast cancer metastasis by regulating the PI3K/AKT/mTOR and MAPKs signaling pathways.Pharmaceutical biology · 2025Article
- Gene expression analysis in circulating tumour cells to determine resistance to CDK4/6 inhibitors plus endocrine therapy in HR + /HER2- metastatic breast cancer patients.Journal of translational medicine · 2025Article
- Zebrafish xenografts in breast cancer research.Frontiers in immunology · 2025Review
- Article
- Circulating tumor cells clusters and their role in Breast cancer metastasis; a review of literature.Discover oncology · 2024Review
- Patient-derived tumor models and their distinctive applications in personalized drug therapy.Mechanobiology in medicine · 2023Review
- DanioCTC: Analysis of Circulating Tumor Cells from Metastatic Breast Cancer Patients in Zebrafish Xenografts.Cancers · 2023Article
- New advances in circulating tumor cell‑mediated metastasis of breast cancer (Review).Molecular and clinical oncology · 2023Review
- Modelling metastasis in zebrafish unveils regulatory interactions of cancer-associated fibroblasts with circulating tumour cells.Frontiers in cell and developmental biology · 2023Article
- Zebrafish-An Optimal Model in Experimental Oncology.Molecules (Basel, Switzerland) · 2022Review
- Identifying drivers of breast cancer metastasis in progressively invasive subpopulations of zebrafish-xenografted MDA-MB-231.Molecular biomedicine · 2022Article
Corrections and comments
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Authors and funding
12 authors at 5 institutions in 1 country.
Funding
Abstract
backgroundCancer metastasis is a deathly process, and a better understanding of the different steps is needed. The shedding of circulating tumor cells (CTCs) and CTC-cluster from the primary tumor, its survival in circulation, and homing are key events of the metastasis cascade. In vitro models of CTCs and in vivo models of metastasis represent an excellent opportunity to delve into the behavior of metastatic cells, to gain understanding on how secondary tumors appear.
methodsUsing the zebrafish embryo, in combination with the mouse and in vitro assays, as an in vivo model of the spatiotemporal development of metastases, we study the metastatic competency of breast cancer CTCs and CTC-clusters and the molecular mechanisms.
resultsCTC-clusters disseminated at a lower frequency than single CTCs in the zebrafish and showed a reduced capacity to invade. A temporal follow-up of the behavior of disseminated CTCs showed a higher survival and proliferation capacity of CTC-clusters, supported by their increased resistance to fluid shear stress. These data were corroborated in mouse studies. In addition, a differential gene signature was observed, with CTC-clusters upregulating cell cycle and stemness related genes.
conclusionsThe zebrafish embryo is a valuable model system to understand the biology of breast cancer CTCs and CTC-clusters.
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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.