ACS Nano · 2020 · 61 citations · 52 references
MedicineCancer BiologyOncologyMolecular OncologyNanobiotechnologyTumor MicroenvironmentAngiogenesisAngiogenesis In CancerCancer NanomedicineMicrofluidicsNanomedicineVascular Imaging3D Tumor ModelsAngiogenesis ModelingImaging AnalysisMicrofluidic Vascular ModelsRna Interference TherapeuticsTumor Angiogenesis ImagingTumor Angiogenesis ModelsTumor Vasculature Targeting
Three-dimensional (3D) visualization of tumor vasculature is a key factor in accurate evaluation of RNA interference (RNAi)-based antiangiogenic nanomedicine, a promising approach for cancer therapeutics. However, this remains challenging because there is not a physiologically relevant in vitro model or precise analytic methodology. To address this limitation, a strategy based on 3D microfluidic angiogenesis-on-a-chip and 3D tumor vascular mapping was developed for evaluating RNAi-based antiangiogenic nanomedicine. We developed a microfluidic model to recapitulate functional 3D angiogenic sprouting when co-cultured with various cancer cell types. This model enabled efficient and rapid assessment of antiangiogenic nanomedicine in treatment of hyper-angiogenic cancer. In addition, tissue-clearing-based whole vascular mapping of tumor xenograft allowed extraction of complex 3D morphological information in diverse quantitative parameters. Using this 3D imaging-based analysis, we observed tumor sub-regional differences in the antiangiogenic effect. Our systematic strategy can help in narrowing down the promising targets of antiangiogenic nanomedicine and then enables deep analysis of complex morphological changes in tumor vasculature, providing a powerful platform for the development of safe and effective nanomedicine for cancer therapeutics.
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Andrew Fire, Siqun Xu, Mary K. Montgomery et al. · Nature · 1998 · 15.3K citations · Full text
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