ArticleFrontiers in pharmacology2024
Real-time label-free three-dimensional invasion assay for anti-metastatic drug screening using impedance sensing.
Article in Frontiers in pharmacology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- xCELLigence™ RTCA system in cancer biology: innovations in real-time functional profiling.Cytotechnology · 2026Review
- Dynamic pillar-perfusion platform for screening enzyme-induced self-assembling peptide therapeutics in 3D breast cancer spheroids.Bioengineering & translational medicine · 2026Article
- Deconstructing cancer in 3D: models, mechanisms, and personalized solutions.Molecular cancer · 2026Review
- Multi-omics comprehensive analysis identified KIF22 and KRAS as highly synthetic lethal pairs for triple-negative breast cancer.Frontiers in oncology · 2026Article
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Authors and funding
6 authors.
Funding
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Abstract
Tumor metastasis presents a formidable challenge in cancer treatment, necessitating effective tools for anti-cancer drug development. Conventional 2D cell culture methods, while considered the "gold standard" for invasive studies, exhibit limitations in representing cancer hallmarks and phenotypes. This study proposes an innovative approach that combines the advantages of 3D tumor spheroid culture with impedance-based biosensing technologies to establish a high-throughput 3D cell invasion assay for anti-metastasis drug screening through multicellular tumor spheroids. In addition, the xCELLigence device is employed to monitor the time-dependent kinetics of cell behavior, including attachment and invasion out of the 3D matrix. Moreover, an iron chelator (deferoxamine) is employed to monitor the inhibition of epithelial-mesenchymal transition in 3D spheroids across different tumor cell types. The above results indicate that our integrated 3D cell invasion assay with impedance-based sensing could be a promising tool for enhancing the quality of the drug development pipeline by providing a robust platform for predicting the efficacy and safety of anti-metastatic drugs before advancing into preclinical or clinical trials.
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