DataVXACS Applied Materials & InterfacesPaper
journal article·2020-12-16

Active-Targeting NIR-II Phototheranostics in Multiple Tumor Models Using Platelet-Camouflaged Nanoprobes

Xiaorui Geng, Duyang Gao, Dehong Hu, Quanhong Liu, Chengbo Liu, Zhen Yuan, Xuanjun Zhang, Xin Liu, Zonghai Sheng, Xiaobing Wang, Hairong Zheng

ACS Applied Materials & Interfaces· Volume 12· Issue 50
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Source abstract

Abstract

Cancer phototheranostics in the second near-infrared window (NIR-II, 1000-1700 nm) has recently attracted much attention owing to its high efficacy and good safety compared with that in the first near-infrared window (NIR-I, 650-950 nm). However, the lack of theranostic nanoagents with active-targeting features limits its further application in cancer precision therapies. Herein, we constructed platelet-camouflaged nanoprobes with active-targeting characteristics for NIR-II cancer phototheranostics. The as-prepared biomimetic nanoprobes can not only escape phagocytosis by macrophages but also specifically bind to CD44 on the surface of most cancer cells. We evaluated the active-targeting performance of biomimetic nanoprobes in pancreatic cancer, breast cancer, and glioma mouse models and achieved NIR-II photoacoustic imaging with a high signal-to-background ratio and photothermal treatment with excellent tumor growth inhibition. Our results show the great potential of platelet-camouflaged nanoprobes with NIR-II active-targeting features for cancer precision diagnosis and efficient therapies.
Source: openalex_inverted_index · Quality: baseline

Research context

Nanomaterials

OpenAlex topics: Nanoplatforms for cancer theranostics · Photoacoustic and Ultrasonic Imaging · Extracellular vesicles in disease

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

Affiliations

Key Laboratory of Medicinal Resources and Natural Pharmaceutical Chemistry, Ministry of Education, College of Life Sciences, Shaanxi Normal University, Xi’an 710119, P. R. China

Paul C. Lauterbur Research Center for Biomedical Imaging, Key Laboratory for Magnetic Resonance and Multimodality Imaging of Guangdong Province, Shenzhen Key Laboratory of Ultrasound Imaging and Therapy, CAS Key Laboratory of Health Informatics, Institute of Biomedical and Health Engineering, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, P. R. China

Faculty of Health Sciences, University of Macau, Taipa, Macau SAR999078, P. R. China

Funding

Ministry of Science and Technology of the People's Republic of China · China Postdoctoral Science Foundation · National Natural Science Foundation of China · Natural Science Foundation of Shaanxi Province · Chinese Academy of Sciences · Science and Technology Innovation Fund of Shenzhen · Shenzhen Key Laboratory of Ultrasound Imaging and Therapy

References (55)

Show source-provided references
1. 10.1002/adma.20170632010.1002/adma.201706320 ↗
2. 10.1016/j.biomaterials.2020.12009210.1016/j.biomaterials.2020.120092 ↗
3. 10.1038/s41467-020-15730-x10.1038/s41467-020-15730-x ↗
4. 10.1039/d0nr02543g10.1039/d0nr02543g ↗
5. 10.1021/acs.accounts.7b0061910.1021/acs.accounts.7b00619 ↗
6. 10.1007/s40820-018-0202-810.1007/s40820-018-0202-8 ↗
7. 10.1021/acsapm.0c0067910.1021/acsapm.0c00679 ↗
8. 10.1002/adma.20170598010.1002/adma.201705980 ↗
9. 10.1002/adma.20190250410.1002/adma.201902504 ↗
10. 10.1002/adma.20180816610.1002/adma.201808166 ↗
11. 10.1039/d0tb01915a10.1039/d0tb01915a ↗
12. 10.1002/adma.20190032110.1002/adma.201900321 ↗
13. 10.1038/nmat447610.1038/nmat4476 ↗
14. 10.1038/s41467-019-10056-910.1038/s41467-019-10056-9 ↗
15. 10.1038/s41563-020-0669-910.1038/s41563-020-0669-9 ↗
16. 10.1038/s41563-020-0676-x10.1038/s41563-020-0676-x ↗
17. 10.1038/s41563-020-0672-110.1038/s41563-020-0672-1 ↗
18. 10.1002/anie.20190404710.1002/anie.201904047 ↗
19. 10.1021/acsnano.7b0696910.1021/acsnano.7b06969 ↗
20. 10.1038/nrd.2018.16910.1038/nrd.2018.169 ↗
21. 10.1038/nrclinonc.2017.12710.1038/nrclinonc.2017.127 ↗
22. 10.1002/adma.20170675910.1002/adma.201706759 ↗
23. 10.1002/smll.20180410510.1002/smll.201804105 ↗
24. 10.1007/s40820-019-0330-910.1007/s40820-019-0330-9 ↗
25. 10.1007/s40820-020-00429-x10.1007/s40820-020-00429-x ↗
26. 10.1021/acsnano.6b0314810.1021/acsnano.6b03148 ↗
27. 10.1002/advs.20190025110.1002/advs.201900251 ↗
28. 10.1002/adfm.20200439710.1002/adfm.202004397 ↗
29. 10.1016/j.copbio.2018.11.01010.1016/j.copbio.2018.11.010 ↗
30. 10.1021/acs.accounts.7b0052610.1021/acs.accounts.7b00526 ↗
31. 10.1038/nature1537310.1038/nature15373 ↗
32. 10.1002/adma.20190079510.1002/adma.201900795 ↗
33. 10.1038/s41551-018-0310-210.1038/s41551-018-0310-2 ↗
34. 10.1007/s11427-020-1653-y10.1007/s11427-020-1653-y ↗
35. 10.1002/adma.20150332310.1002/adma.201503323 ↗
36. 10.1002/adma.20160346310.1002/adma.201603463 ↗
37. 10.1016/j.biomaterials.2019.03.02410.1016/j.biomaterials.2019.03.024 ↗
38. 10.1021/acsnano.8b0655610.1021/acsnano.8b06556 ↗
39. 10.7150/thno.3441810.7150/thno.34418 ↗
40. 10.1364/ol.39773310.1364/ol.397733 ↗
41. 10.1080/15548627.2019.168721010.1080/15548627.2019.1687210 ↗
42. 10.7150/thno.2660710.7150/thno.26607 ↗
43. 10.1016/j.biomaterials.2017.06.03410.1016/j.biomaterials.2017.06.034 ↗
44. 10.1016/j.jconrel.2015.07.01910.1016/j.jconrel.2015.07.019 ↗
45. 10.1039/c7tb02990j10.1039/c7tb02990j ↗
46. 10.1002/smll.20100110910.1002/smll.201001109 ↗
47. 10.1002/anie.20200300410.1002/anie.202003004 ↗
48. 10.1002/anie.20190628810.1002/anie.201906288 ↗
49. 10.1016/j.biomaterials.2017.03.00310.1016/j.biomaterials.2017.03.003 ↗
50. 10.7150/thno.2222610.7150/thno.22226 ↗
51. 10.1007/s13346-013-0176-510.1007/s13346-013-0176-5 ↗
52. 10.1126/sciadv.aaw687010.1126/sciadv.aaw6870 ↗
53. 10.1016/j.addr.2020.06.00510.1016/j.addr.2020.06.005 ↗
54. 10.1016/j.biomaterials.2019.04.02610.1016/j.biomaterials.2019.04.026 ↗
55. 10.1039/d0nr03661g10.1039/d0nr03661g ↗