ArticleBiomicrofluidics2018
Biomimetic microfluidic platform for the quantification of transient endothelial monolayer permeability and therapeutic transport under mimicked cancerous conditions.
Article in Biomicrofluidics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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.
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Who cites it
8 citing papers in PubMed, 13 citations in OpenAlex.
- Bio-inspired microfluidics: A review.Biomicrofluidics · 2023Review
- Microfluidic Droplet-Assisted Fabrication of Vessel-Supported Tumors for Preclinical Drug Discovery.ACS applied materials & interfaces · 2023Article
- Nanotopography Enhances Dynamic Remodeling of Tight Junction Proteins through Cytosolic Liquid Complexes.ACS nano · 2020Article
- Systems Biology of Cancer Metastasis.Cell systems · 2019Review
- Bi-layer blood vessel mimicking microfluidic platform for antitumor drug screening based on co-culturing 3D tumor spheroids and endothelial layers.Biomicrofluidics · 2019Article
- Microfluidic device for expedited tumor growth towards drug evaluation.Lab on a chip · 2019Article
- Comparison of the degradation behavior of PLGA scaffolds in micro-channel, shaking, and static conditions.Biomicrofluidics · 2018Article
- The Shape Effect on Polymer Nanoparticle Transport in a Blood Vessel.RSC advances · 2018Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
Therapeutic delivery from microvasculature to cancerous sites is influenced by many factors including endothelial permeability, vascular flow rates/pressures, cancer secretion of cytokines and permeabilizing agents, and characteristics of the chosen therapeutics. This work uses bi-layer microfluidics capable of studying dye and therapeutic transport from a simulated vessel to a cancerous region while allowing for direct visualization and quantification of endothelial permeability. 2.5 to 13 times greater dye transport was observed when utilizing small dye sizes (FITC) when compared to larger molecules (FITC-Dextran 4 kDa and FITC-Dextran 70 kDa), respectively. The use of lower flow rates/pressures is shown to improve dye transport by factors ranging from 2.5 to 5 times, which result from increased dye diffusion times within the system. Furthermore, subjecting confluent endothelial monolayers to cancerous cells resulted in increased levels of vascular permeability. Situations of cancer induced increases in vascular permeability are shown to facilitate enhanced dye transport when compared to non-diseased endothelial monolayers. Subsequent introduction of paclitaxel or doxorubicin into the system was shown to kill cancerous cells resulting in the recovery of endothelial confluency overtime. The response of endothelial cells to paclitaxel and doxorubicin is quantified to understand the direct influence of anti-cancer therapeutics on endothelial growth and permeability. Introduction of therapeutics into the system showed the recovery of endothelial confluency and dye transport back to conditions experienced prior to cancer cell introduction after 120 h of continuous treatment. Overall, the system has been utilized to show that therapeutic transport to cancerous sites depends on the size of the chosen therapeutic, the flow rate/pressure established within the vasculature, and the degree of cancer induced endothelial permeability. In addition, treatment of the cancerous region has been demonstrated with anti-cancer therapeutics, which are shown to influence vascular permeability in direct (therapeutics themselves) and indirect (death of cancer cells) manners. Lastly, the system presented in this work is believed to function as a versatile testing platform for future anti-cancer therapeutic testing and development.
Identifiers
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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.