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journal article·2021-10

Vascular Bursts Act as a Versatile Tumor Vessel Permeation Route for Blood‐Borne Particles and Cells

Kazunori Igarashi, Horacio Cabral, Taehun Hong, Yasutaka Anraku, Fotios Mpekris, Triantafyllos Stylianopoulos, Thahomina Khan, Akira Matsumoto, Kazunori Kataoka, Yu Matsumoto, Tatsuya Yamasoba

Small· Volume 17· Issue 42
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Abstract

Abstract Dynamic bursting in tumor vasculature has recently sparked interest as a novel particle transportation route for drug delivery. These bursts facilitate the transport of sub‐100 nm nanoparticles into tumors, though their contribution on the access of other blood‐borne particles remains unknown. To evaluate the versatility of this phenomenon, the in vivo kinetics of a variety of intravenously injected particles and their penetration in tumor xenografts and allografts are compared. Dextran, polymeric micelles, liposomes, and polymeric vesicles with diameters ranging from 32 to 302 nm are found to colocalize in virtually all vascular bursts. By mathematical modeling, the burst vent size is estimated to be 625 nm or larger, indicating the dynamic and stochastic formation of large permeation routes in tumor vasculature. Furthermore, some burst vents are found to be µm‐sized, allowing the transport of 1 µm microspheres. Moreover, antibody drugs and platelets are capable of utilizing vascular burst transportation, demonstrating the application of this phenomenon to other types of therapeutics and cellular components. These findings indicate the vast potential of vascular bursts, extending the biological and therapeutic significance of this phenomenon to a wide range of blood‐borne particles and cells.
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Research context

PolymersNanomaterials

OpenAlex topics: Nanoparticle-Based Drug Delivery · Micro and Nano Robotics · Gold and Silver Nanoparticles Synthesis and Applications

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Otorhinolaryngology and Head and Neck Surgery Graduate School of Medicine and Faculty of Medicine The University of Tokyo 7‐3‐1 Hongo, Bunkyo‐ku Tokyo 113‐8655 Japan

Department of Bioengineering Graduate School of Engineering The University of Tokyo 7‐3‐1 Hongo, Bunkyo‐ku Tokyo 113‐8656 Japan

Cancer Biophysics Laboratory Department of Mechanical and Manufacturing Engineering University of Cyprus Nicosia 1678 Cyprus

Institute of Biomaterials and Bioengineering Tokyo Medical and Dental University 2‐3‐10 Kanda‐Surugadai, Chiyoda‐ku Tokyo 101‐0062 Japan

Kanagawa Institute of Industrial Science and Technology 3‐25‐13 Tono‐machi, Kawasaki‐ku Kawasaki City Kanagawa 210‐0821 Japan

Innovation Center of NanoMedicine Kawasaki Institute of Industrial Promotion 3‐25‐14 Tono‐machi, Kawasaki‐ku Kawasaki City Kanagawa 210‐0821 Japan

Institute of Future Initiatives The University of Tokyo 7‐3‐1 Hongo, Bunkyo‐ku Tokyo 133‐0033 Japan

Funding

Japan Society for the Promotion of Science · Ministry of Education, Culture, Sports, Science and Technology

References (42)

Show source-provided references
1. 10.1038/nrclinonc.2010.13910.1038/nrclinonc.2010.139 ↗
2. 10.1038/nnano.2015.34210.1038/nnano.2015.342 ↗
3. Miller M. A. · Sci. Transl. Med. · 2017 · 9 · 0225
4. 10.1021/acsnano.9b0384810.1021/acsnano.9b03848 ↗
5. 10.1016/j.jconrel.2020.11.06310.1016/j.jconrel.2020.11.063 ↗
6. 10.1038/nnano.2012.4510.1038/nnano.2012.45 ↗
7. 10.1007/s10237-015-0682-010.1007/s10237-015-0682-0 ↗
8. 10.1529/biophysj.104.04774610.1529/biophysj.104.047746 ↗
9. 10.1016/j.jconrel.2004.08.02210.1016/j.jconrel.2004.08.022 ↗
10. 10.1016/0014-5793(90)81016-H10.1016/0014-5793(90)81016-H ↗
11. 10.1039/c1cc11465d10.1039/c1cc11465d ↗
12. 10.1007/978-1-59259-734-5_2910.1007/978-1-59259-734-5_29 ↗
13. 10.1016/S0301-472X(01)00733-010.1016/S0301-472X(01)00733-0 ↗
14. 10.1016/0049-3848(76)90066-910.1016/0049-3848(76)90066-9 ↗
15. 10.1002/(SICI)1096-8652(199709)56:1<17::AID-AJH4>3.0.CO;2-510.1002/(SICI)1096-8652(199709)56:1<17::AID-AJH4>3.0.CO;2-5 ↗
16. 10.1038/nnano.2011.16610.1038/nnano.2011.166 ↗
17. 10.1021/nn404083m10.1021/nn404083m ↗
18. 10.1016/j.addr.2013.08.01010.1016/j.addr.2013.08.010 ↗
19. 10.7150/thno.3858710.7150/thno.38587 ↗
20. 10.1073/pnas.95.8.460710.1073/pnas.95.8.4607 ↗
21. 10.1016/S0002-9440(10)65006-710.1016/S0002-9440(10)65006-7 ↗
22. 10.1126/science.124114510.1126/science.1241145 ↗
23. 10.1038/nrd459110.1038/nrd4591 ↗
24. 10.1038/s41577-020-0306-510.1038/s41577-020-0306-5 ↗
25. 10.1126/science.363.6434.137710.1126/science.363.6434.1377 ↗
26. 10.1038/s41572-020-0160-610.1038/s41572-020-0160-6 ↗
27. 10.1186/s40425-018-0442-710.1186/s40425-018-0442-7 ↗
28. 10.1038/s41573-018-0006-z10.1038/s41573-018-0006-z ↗
29. 10.1002/adma.20150332310.1002/adma.201503323 ↗
30. 10.1021/acsnano.9b0733010.1021/acsnano.9b07330 ↗
31. 10.1158/2326-6066.CIR-14-020910.1158/2326-6066.CIR-14-0209 ↗
32. Dvorak H. F. · Cancer Res. · 1983 · 43 · 4334
33. 10.7150/thno.3721510.7150/thno.37215 ↗
34. 10.1021/ja057993r10.1021/ja057993r ↗
35. 10.1021/ja908350e10.1021/ja908350e ↗
36. Baron V. T. · Am. J. Cancer Res. · 2011 · 1 · 674
37. The jamovi project 2020 Jamovi (Version 1.2) [computer software] Retrieved fromhttps://www.jamovi.org.
38. R Core Team 2018 R: a language and environment for statistical computing [computer software] Retrieved fromhttps://cran.r-project.org/
39. 10.1016/j.trecan.2018.02.00510.1016/j.trecan.2018.02.005 ↗
40. 10.1073/pnas.08162689810.1073/pnas.081626898 ↗
41. 10.1113/expphysiol.1987.sp00308510.1113/expphysiol.1987.sp003085 ↗
42. 10.1002/aic.69033090210.1002/aic.690330902 ↗